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ORIGINAL
Prevalencia de prediabetes y asociación con factores cardiometabólicos y renales. Estudio SIMETAP-PRED
Prevalence of prediabetes and association with cardiometabolic and renal factors. SIMETAP-PRED study
Ezequiel Arranz-Martíneza, Antonio Ruiz-Garcíab,
Autor para correspondencia
antoniodoctor@gmail.com

Autor para correspondencia.
, Juan Carlos García Álvarezc, Teresa Fernández Vicented, Nerea Iturmendi Martíneze, Montserrat Rivera-Teijidof, en representación del Grupo de Investigación del Estudio SIMETAP
a Centro de Salud San Blas, Parla, Madrid, España
b Unidad de Lípidos y Prevención Cardiovascular, Centro de Salud Universitario Pinto, Pinto, Madrid, España
c Centro de Salud Dr. Mendiguchía Carriche, Leganés, Madrid, España
d Centro de Salud Getafe Norte, Getafe, Madrid, España
e Centro de Salud Argüelles, Madrid, España
f Centro de Salud Alicante, Fuenlabrada, Madrid, España
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introducci&#243;n</span><p id="par0005" class="elsevierStylePara elsevierViewall">La prediabetes es un estado metab&#243;lico intermedio entre la normoglucemia y la diabetes &#40;DM&#41;&#44; en cuyo desarrollo se produce una disfunci&#243;n de las c&#233;lulas beta pancre&#225;ticas en respuesta a factores estresantes como lipotoxicidad y&#47;o glucotoxicidad&#44; que afectan a al metabolismo hep&#225;tico y perif&#233;rico de la glucosa debido a una disminuci&#243;n de la sensibilidad a la insulina &#40;insulinorresistencia&#41; y un aumento inicial de la secreci&#243;n de insulina &#40;hiperinsulinemia&#41;<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">1&#8211;3</span></a>&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">La presencia de factores de riesgo cardiovascular &#40;FRCV&#41; muy prevalentes durante el periodo prediab&#233;tico como la obesidad&#44; la hipertensi&#243;n arterial &#40;HTA&#41; y la dislipidemia aterog&#233;nica<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">4&#8211;6</span></a>&#44; en gran parte pueden justificar su relaci&#243;n con el desarrollo de la enfermedad cardiovascular arterioscler&#243;tica &#40;ECVA&#41; y de la enfermedad renal cr&#243;nica<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">6&#44;7</span></a>&#44; que favorece un patr&#243;n aterog&#233;nico que ocasiona un da&#241;o estructural y funcional del endotelio vascular<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">7&#44;8</span></a>&#46; Esto supone un potencial incremento del riesgo cardiovascular<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">4&#44;8&#8211;10</span></a> &#40;RCV&#41; que se inicia a partir de valores de hemoglobina glicada A1c &#40;HbA1c&#41; de 5&#44;7&#37;&#44; o de concentraciones de glucosa plasm&#225;tica en ayunas &#40;GPA&#41; tan bajas como 100<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; No obstante&#44; los individuos con prediabetes sin ECVA no tienen necesariamente un RCV elevado<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">10&#44;11</span></a>&#44; por lo que precisan una valoraci&#243;n del RCV similar al de la poblaci&#243;n general<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">11</span></a>&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Los valores de los criterios diagn&#243;sticos que utilizan las diferentes sociedades para definir la prediabetes var&#237;an seg&#250;n la elecci&#243;n del rango de HbA1c o de las concentraciones de GPA que definen la glucosa basal alterada &#40;GBA&#41;&#44; lo que tiene implicaciones en la detecci&#243;n y la carga de prediabetes<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">12</span></a>&#44; y en el riesgo de desarrollar DM<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">1&#44;2</span></a>&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">La prediabetes constituye un importante problema de salud p&#250;blica&#44; no solo por su probable evoluci&#243;n hacia DM<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">1&#44;2</span></a>&#44; sino tambi&#233;n por su mayor carga de RCV y por la elevada prevalencia de las comorbilidades asociadas<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">6&#44;8&#8211;10</span></a>&#46; La mayor&#237;a de los sujetos con prediabetes desconocen el mayor RCV que conlleva&#44; ni que las modificaciones en el estilo de vida pueden reducir o retrasar la aparici&#243;n de DM<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">13</span></a>&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">La prevalencia de prediabetes aumenta progresivamente con la edad debido a los cambios en el metabolismo de la glucosa&#44; la composici&#243;n corporal y el estilo de vida no saludable<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">13</span></a>&#46; La incidencia anual de DM y prediabetes contin&#250;a aumentando a nivel mundial&#46; Si 463 millones de personas padec&#237;an DM en el a&#241;o 2019&#44; esta cifra podr&#237;a ascender hasta los 578 millones en el 2030 y hasta los 700 millones en el 2045&#46; Paralelamente&#44; la prediabetes considerada como GBA&#44; que afectaba a 374 millones de personas en 2019&#44; podr&#237;a llegar hasta los 454 millones en el 2030 y hasta los 548 millones en el 2045<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">14</span></a>&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">El conocimiento de la situaci&#243;n epidemiol&#243;gica de la prediabetes y su relaci&#243;n con los factores cardiometab&#243;licos y renales con los que puede estar asociada&#44; constituye un desaf&#237;o clave para evitar la progresi&#243;n de la enfermedad y la carga econ&#243;mica que conlleva para el sistema sanitario<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">6</span></a>&#44; y para implementar medidas de prevenci&#243;n de f&#225;cil aplicaci&#243;n&#44; como la cesaci&#243;n del tabaquismo y la intervenci&#243;n sobre la dieta y el ejercicio<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">13</span></a>&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Los objetivos del estudio SIMETAP-PRED fueron determinar en la poblaci&#243;n adulta las tasas de prevalencia de prediabetes seg&#250;n dos criterios diagn&#243;sticos&#44; y comparar la asociaci&#243;n de los FRCV&#44; cardiometab&#243;licos y renales&#44; entre las poblaciones con y sin prediabetes&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material y m&#233;todos</span><p id="par0040" class="elsevierStylePara elsevierViewall">SIMETAP-PRED es un estudio observacional transversal&#44; autorizado por el Servicio de Salud de la Comunidad de Madrid &#40;SERMAS&#41;&#44; en el que participaron 121 m&#233;dicos de familia seleccionados competitivamente hasta alcanzar el tama&#241;o muestral necesario&#44; pertenecientes a 64 centros de atenci&#243;n primaria &#40;25&#37; de los Centros de Salud del SERMAS&#41;&#46; La informaci&#243;n sobre el material y m&#233;todos &#40;dise&#241;o&#44; muestreo&#44; reclutamiento&#44; criterios de inclusi&#243;n y exclusi&#243;n&#44; recogida de datos&#44; an&#225;lisis estad&#237;stico&#44; y criterios que definen las variables y categor&#237;as de RCV&#41; del estudio SIMETAP se han detallado previamente en esta revista<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">15</span></a>&#46; Se incluyeron 6&#46;588 sujetos de estudio reclutados mediante muestreo aleatorizado simple de la poblaci&#243;n adulta asignada a los m&#233;dicos de Atenci&#243;n Primaria del SERMAS que participaban en el estudio&#44; con una tasa de respuesta del 65&#44;8&#37;&#46; Por protocolo&#44; se excluy&#243; a pacientes terminales&#44; institucionalizados&#44; con deterioro cognitivo&#44; embarazadas o sujetos sin informaci&#243;n de las variables bioqu&#237;micas&#44; y se obtuvo el consentimiento informado de todos los sujetos del estudio&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Los criterios bioqu&#237;micos para el diagn&#243;stico de DM fueron los definidos por la Asociaci&#243;n Americana de Diabetes &#40;ADA&#41;<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#58; glucosa plasm&#225;tica en ayunas &#40;GPA&#41; &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;&#8805; 7&#44;0 mmol&#47;l&#41; o HbA1c &#8805; 6&#44;5&#37; &#40;&#8805; 48 mmol&#47;mol&#41; confirmadas en al menos en dos ocasiones&#44; o la determinaci&#243;n de glucosa plasm&#225;tica &#8805; 200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;&#8805; 11&#44;1 mmol&#47;l&#41;&#44; bien aleatoria a cualquier hora del d&#237;a sin importar el intervalo desde la &#250;ltima comida&#44; o con la prueba de tolerancia oral a la glucosa &#40;2 h despu&#233;s de la administraci&#243;n de 75<span class="elsevierStyleHsp" style=""></span>g de glucosa anhidra disuelta en agua&#41;&#46; Asimismo&#44; se consider&#243; que los pacientes padec&#237;an DM tras comprobar que este diagn&#243;stico estaba registrado en sus historias cl&#237;nicas&#46; En los sujetos de estudio que no padec&#237;an DM&#44; se utilizaron dos criterios diagn&#243;sticos de prediabetes&#58; 1&#41; prediabetes diagnosticada seg&#250;n la Sociedad Espa&#241;ola de Diabetes<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a> &#40;PRED-SED&#41;&#58; GPA entre 110 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;6&#44;1&#8211;6&#44;9 mmol&#47;l&#41; o HbA1c entre 6&#44;0&#37; y 6&#44;4&#37; &#40;42&#8211;47 mmol&#47;mol&#41;&#46; 2&#41; Prediabetes diagnosticada seg&#250;n la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a> &#40;PRED-ADA&#41;&#58; GPA entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;5&#44;6&#8211;6&#44;9 mmol&#47;l&#41; o HbA1c entre 5&#44;7&#37; y 6&#44;4&#37; &#40;39&#8211;47 mmol&#47;mol&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Tambi&#233;n se consideraron las siguientes variables cardiometab&#243;licas y renales&#58; &#237;ndice de masa corporal &#40;IMC&#41;&#58; peso&#47;talla<span class="elsevierStyleSup">2</span> &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&#46; Sobrepeso&#58; IMC 25&#44;0&#8211;29&#44;9<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46; Obesidad&#58; IMC &#8805;30<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46; Adiposidad o &#237;ndice de grasa corporal CUN-BAE &#40;Cl&#237;nica Universitaria de Navarra-<span class="elsevierStyleItalic">Body Adiposity Estimator</span>&#41;<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">18</span></a>&#58;<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>44&#44;988<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;503 x edad&#41;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;10&#44;689 x sexo&#41;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;3&#44;172 x IMC&#41;<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;026 x IMC<span class="elsevierStyleSup">2</span>&#41;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;181 x IMC x sexo&#41;<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;02 x IMC x edad&#41;<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;005 x IMC<span class="elsevierStyleSup">2</span> x sexo&#41;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;0&#44;00021 x IMC<span class="elsevierStyleSup">2</span> x edad&#41;&#59; sexo masculino<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#59; sexo femenino<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46; CUN-BAE-obesidad&#58;<span class="elsevierStyleHsp" style=""></span>&#62;25&#37; &#40;hombres&#41;&#59;<span class="elsevierStyleHsp" style=""></span>&#62;35&#37; &#40;mujeres&#41;&#46; Obesidad central&#58; per&#237;metro abdominal aumentado &#40;&#8805;102<span class="elsevierStyleHsp" style=""></span>cm &#91;hombres&#93; o &#8805;88<span class="elsevierStyleHsp" style=""></span>cm &#91;mujeres&#93;&#41;&#46; &#205;ndice cintura-talla &#40;ICT&#41;&#58; per&#237;metro abdominal&#47;talla&#46; ICT aumentado&#58; ICT &#8805;0&#44;6&#46; HTA&#58; presi&#243;n arterial sist&#243;lica &#8805;140<span class="elsevierStyleHsp" style=""></span>mmHg y&#47;o presi&#243;n arterial diast&#243;lica &#8805;90<span class="elsevierStyleHsp" style=""></span>mmHg&#44; o tener tratamiento antihipertensivo&#46; HbA1c estandarizada seg&#250;n <span class="elsevierStyleItalic">Diabetes Control and Complications Trial</span> &#40;DCCT&#41;<span class="elsevierStyleItalic">&#46;</span> Hipercolesterolemia&#58; colesterol total &#40;CT&#41; &#8805;200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; Hipertrigliceridemia &#40;HTG&#41;&#58; triglic&#233;ridos &#40;TG&#41; &#8805;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; Colesterol unido a lipoprote&#237;nas de alta densidad &#40;c-HDL&#41;&#46; C-HDL bajo&#58; c-HDL &#60;<span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;hombres&#41;&#59; &#60;<span class="elsevierStyleHsp" style=""></span>50<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;mujeres&#41;&#46; Colesterol no unido a c-HDL &#40;C-no-HDL&#41;&#46; Colesterol unido a lipoprote&#237;nas de baja densidad &#40;c-LDL&#41;&#46; Colesterol unido a lipoprote&#237;nas de muy baja densidad y sus remanentes &#40;c-VLDL&#41;&#46; &#205;ndice aterog&#233;nico de plasma &#40;IAP&#41;&#58; log &#40;TG &#47; c-HDL&#41;&#46; &#205;ndice TG y glucosa &#40;ITyG&#41;&#58; Ln &#91;TG x GPA &#47; 2&#93;&#46; Dislipidemia aterog&#233;nica&#58; HTG y c-HDL bajo&#46; S&#237;ndrome metab&#243;lico &#40;SM&#41;&#58; consenso armonizado IDF&#47;NHLBI&#47;AHA&#47;WHF&#47;IAS&#47;IASO<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">19</span></a>&#46; Enfermedad coronaria&#58; cardiopat&#237;a isqu&#233;mica&#44; infarto agudo de miocardio previo&#44; s&#237;ndromes coronarios agudos&#44; revascularizaci&#243;n coronaria&#46; procedimientos de revascularizaci&#243;n arterial&#46; Ictus&#58; accidente cerebrovascular&#44; isquemia cerebral o hemorragias intracraneales y ataque isqu&#233;mico transitorio&#46; Enfermedad arterial perif&#233;rica&#58; claudicaci&#243;n intermitente o un &#237;ndice tobillo-brazo &#8804;0&#44;9&#46; ECVA&#58; enfermedad coronaria&#44; ictus&#44; enfermedad arterial perif&#233;rica&#46; Albuminuria&#58; cociente alb&#250;mina-creatinina &#40;CAC&#41; &#8805;30<span class="elsevierStyleHsp" style=""></span>mg&#47;g&#46; Filtrado glomerular estimado &#40;FGe&#41; seg&#250;n <span class="elsevierStyleItalic">Chronic Kidney Disease EPIdemiology collaboration</span> &#40;CKD-EPI&#41;&#46; FGe bajo&#58; FGe &#60;<span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>mL&#47;min&#47;1&#44;73 m<span class="elsevierStyleSup">2</span>&#46; Enfermedad renal cr&#243;nica&#58; FGe bajo y&#47;o albuminuria&#46; RCV seg&#250;n SCORE<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">20&#44;21</span></a>&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">El an&#225;lisis estad&#237;stico se realiz&#243; con el programa <span class="elsevierStyleItalic">Statistical Package for the Social Sciences</span>&#46; El an&#225;lisis descriptivo determin&#243; la media y desviaci&#243;n est&#225;ndar &#40;&#177;DE&#41; de las variables continuas&#46; Las variables cualitativas se analizaron mediante porcentajes en cada categor&#237;a&#44; presentadas con l&#237;mites inferior y superior del intervalo de confianza &#40;IC&#41; del 95&#37;&#46; Las prevalencias se determinaron como tasas crudas y tasas ajustadas por edad y sexo&#46; El ajuste de tasas por edad y sexo se realiz&#243; usando grupos etarios decenales estandarizados con los de la poblaci&#243;n espa&#241;ola mediante m&#233;todo directo&#46; La informaci&#243;n de la poblaci&#243;n espa&#241;ola de enero de 2015 se obtuvo de la base de datos del Instituto Nacional de Estad&#237;stica<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">22</span></a>&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Las tasas de prevalencia se estandarizaron por edad y sexo seg&#250;n la poblaci&#243;n espa&#241;ola para facilitar la comparaci&#243;n con otras poblaciones&#46; Las comparaciones de las variables continuas se realizaron mediante la prueba t-Student o el an&#225;lisis de varianza &#40;ANOVA&#41;&#46; El an&#225;lisis de las variables categ&#243;ricas se realiz&#243; mediante la prueba chi-cuadrado&#46; Las odds-ratios &#40;OR&#41; se determinaron con IC del 95&#37;&#46; Para valorar el efecto individual de FRCV y comorbilidades sobre las variables dependientes PRED-ADA y PRED-SED&#44; se realizaron an&#225;lisis multivariantes de regresi&#243;n log&#237;stica mediante el m&#233;todo paso a paso hacia atr&#225;s <span class="elsevierStyleItalic">&#40;backward stepwise&#41;</span>&#44; introduciendo inicialmente en el modelo todas las variables que mostraran asociaci&#243;n en el an&#225;lisis univariado hasta un valor de p&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;10&#44; y posteriormente&#44; eliminando en cada paso la variable que menos contribu&#237;a al ajuste del mismo&#46; En los an&#225;lisis multivariados se excluyeron las siguientes variables&#58; CUN-BAE-obesidad<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">18</span></a>&#44; dislipidemia aterog&#233;nica&#44; ECVA y el SM<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">19</span></a> por ser variables cuyos componentes ya se inclu&#237;an en el an&#225;lisis&#44; y la disfunci&#243;n er&#233;ctil por afectar solo a hombres&#46; Todas las pruebas se consideraron estad&#237;sticamente significativas si el valor de p de dos colas era inferior a 0&#44;05&#46; Se realiz&#243; una b&#250;squeda bibliogr&#225;fica en PubMed&#44; Medline&#44; Embase&#44; Google Scholar y Web of Science&#44; para comparar las tasas de prevalencia del presente estudio con otros similares de los &#250;ltimos 15 a&#241;os&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Resultados</span><p id="par0065" class="elsevierStylePara elsevierViewall">La poblaci&#243;n de estudio fue de 6&#46;588 adultos entre 18&#44;0 y 102&#44;8 a&#241;os&#44; cuya media &#40;&#177;DE&#41; de edad era 55&#44;1 &#40;&#177;17&#44;5&#41; a&#241;os&#46; La diferencia del porcentaje entre hombres &#40;44&#44;1&#37; &#91;IC 42&#44;9&#8211;45&#44;3&#37;&#93;&#41; y mujeres &#40;55&#44;9&#37; &#91;IC 54&#44;7&#8211;57&#44;1&#37;&#93;&#41; era significativa &#40;p &#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41;&#46; La diferencia de las medias &#91;&#177;DE&#93; de edad entre las poblaciones masculina &#40;55&#44;3 &#91;&#177;16&#44;9&#93; a&#241;os&#41; y femenina &#40;55&#44;0 &#91;&#177;18&#44;0&#93; a&#241;os&#41; no era significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;634&#41;&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">La diferencia del porcentaje de la poblaci&#243;n masculina entre las poblaciones con PRED-SED &#40;48&#44;4&#37; &#91;IC 44&#44;1&#8211;52&#44;7&#37;&#93;&#41; y sin PRED-SED &#40;43&#44;7&#37; &#91;IC 42&#44;5&#8211;45&#44;0&#37;&#93;&#41; era significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;039&#41;&#46; La diferencia del porcentaje de la poblaci&#243;n masculina entre las poblaciones con PRED-ADA &#40;48&#44;9&#37; &#91;46&#44;4&#8211;51&#44;5&#37;&#93;&#41; y sin PRED-ADA &#40;42&#44;7&#37; &#91;41&#44;4&#8211;44&#44;1&#37;&#93;&#41; era significativa &#40;p &#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41;&#46; La diferencia de las medias de edad entre las poblaciones PRED-SED y PRED-ADA &#40;2&#44;4 &#91;IC95&#37;&#58; 0&#44;9&#8211;3&#44;9&#93; a&#241;os&#41; era significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;002&#41;&#46; Las diferencias de las caracter&#237;sticas cl&#237;nicas entre las poblaciones con y sin prediabetes se muestran en las <a class="elsevierStyleCrossRefs" href="#tbl0005">tablas 1 y 2</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0075" class="elsevierStylePara elsevierViewall">La prevalencia cruda de PRED-SED fue 7&#44;94&#37; &#40;IC95&#37;&#58; 7&#44;29&#8211;8&#44;59&#37;&#41;&#44; siendo significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;040&#41; la diferencia entre hombres &#40;8&#44;71&#37; &#91;IC95&#37;&#58; 7&#44;68&#8211;9&#44;74&#37;&#93;&#41; y mujeres &#40;7&#44;33&#37; &#91;IC95&#37;&#58; 6&#44;49&#8211;8&#44;17&#37;&#93;&#41;&#46; La prevalencia cruda de PRED-ADA fue 21&#44;99&#37; &#40;IC95&#37;&#58; 20&#44;99&#8211;22&#44;99&#37;&#41;&#44; siendo significativa &#40;p&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41; la diferencia entre hombres &#40;24&#44;41&#37; &#91;IC95&#37;&#58; 22&#44;85&#8211;25&#44;97&#37;&#93;&#41; y mujeres &#40;20&#44;09&#37; &#91;IC95&#37;&#58; 18&#44;00&#8211;21&#44;38&#37;&#93;&#41;&#46; La tasa de prevalencia ajustada por edad y sexo de PRED-SED fue 6&#44;63&#37; &#40;7&#44;18&#37; en hombres y 6&#44;27&#37; en mujeres&#41;&#46; La tasa de prevalencia ajustada de PRED-ADA fue 19&#44;11&#37; &#40;21&#44;26&#37; en hombres y 17&#44;63&#37; en mujeres&#41;&#46; Las tasas de prevalencia por grupos etarios decenales en hombres&#44; mujeres y globales de PRED-SED y PRED-ADA se muestran en las figuras 1 y 2 respectivamente&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">La distribuci&#243;n de la prevalencia de PRED-SED aumentaba con la edad &#40;R<span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;993&#41;&#44; seg&#250;n la funci&#243;n polin&#243;mica y<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>-0&#44;0008x<span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>0&#44;0304x - 0&#44;0273&#44; sin que existieran diferencias significativas entre hombres y mujeres &#40;<a class="elsevierStyleCrossRef" href="#fig0005">fig&#46; 1</a>&#41;&#46; De forma similar&#44; la distribuci&#243;n de la prevalencia de PRED-ADA aumentaba con la edad &#40;R<span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;985&#41;&#44; seg&#250;n la funci&#243;n polin&#243;mica y<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>-0&#44;0043x<span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>0&#44;0086x - 0&#44;0428&#44; sin que existieran diferencias significativas entre hombres y mujeres&#44; excepto en los grupos etarios entre 30 y 59 a&#241;os&#44; en los que las prevalencias eran significativamente mayores en hombres que en mujeres &#40;<a class="elsevierStyleCrossRef" href="#fig0010">fig&#46; 2</a>&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">Todos los par&#225;metros evaluados eran significativamente mayores en las poblaciones con prediabetes que en las poblaciones sin prediabetes&#44; excepto las concentraciones de c-HDL y el FGe&#44; que fueron menores en las poblaciones con prediabetes&#44; y las concentraciones de aspartato-aminotransferasa y albuminuria&#44; cuyas diferencias no eran significativas &#40;<a class="elsevierStyleCrossRefs" href="#tbl0005">tablas 1 y 2</a>&#41;&#46; Las OR de las comorbilidades asociadas entre las poblaciones con y sin prediabetes se muestran en la <a class="elsevierStyleCrossRef" href="#tbl0015">tabla 3</a>&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Los porcentajes de sujetos de estudio con RCV bajo&#44; moderado&#44; alto y muy alto en la poblaci&#243;n con PRED-SED eran 7&#44;46&#37; &#40;IC95&#37;&#58; 5&#44;21&#8211;9&#44;71&#41;&#44; 23&#44;90&#37; &#40;IC95&#37;&#58; 20&#44;25&#8211;27&#44;56&#41;&#44; 29&#44;83&#37; &#40;IC95&#37;&#58; 25&#44;91&#8211;33&#44;75&#41; y 38&#44;81&#37; &#40;IC95&#37;&#58; 34&#44;64&#8211;42&#44;99&#41; respectivamente&#46; Los porcentajes de sujetos de estudio con RCV bajo&#44; moderado&#44; alto y muy alto en la poblaci&#243;n con PRED-ADA eran 11&#44;04&#37; &#40;IC95&#37;&#58; 9&#44;43&#8211;12&#44;66&#41;&#44; 27&#44;26&#37; &#40;IC95&#37;&#58; 24&#44;97&#8211;29&#44;55&#41;&#44; 28&#44;02&#37; &#40;IC95&#37;&#58; 25&#44;71&#8211;30&#44;33&#41; y 33&#44;68&#37; &#40;IC95&#37;&#58; 31&#44;24&#8211;36&#44;11&#41; respectivamente&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">El an&#225;lisis multivariante mostr&#243; que los FRCV y comorbilidades que se asociaban independientemente con la PRED-SED eran HTA&#44; HTG&#44; sobrepeso&#44; obesidad&#44; y el ICT aumentado&#46; Adem&#225;s de estas variables&#44; la hipercolesterolemia y el FGe bajo tambi&#233;n se asociaban independientemente con la PRED-ADA &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">tabla 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discusi&#243;n</span><p id="par0100" class="elsevierStylePara elsevierViewall">La prediabetes representa una brecha entre el estado gluc&#233;mico normal y la DM&#44; que implica un riesgo de enfermedad inherente&#46; Si la progresi&#243;n desde la normoglucemia a la DM puede tardar varios a&#241;os&#44; la prediabetes podr&#237;a ser un estado cl&#237;nico susceptible de detectar&#44; que permitir&#237;a identificar a sujetos con un riesgo aumentado de desarrollar DM y episodios de ECVA<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">4</span></a>&#46; Por otra parte&#44; la evoluci&#243;n de los sujetos con prediabetes es muy variable&#46; En ausencia de cualquier intervenci&#243;n&#44; algunas personas pueden progresar a DM&#44; otras pueden permanecer con dicha condici&#243;n el resto de su vida y otras podr&#237;an regresar al estado de normoglucemia<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">23</span></a>&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Las sociedades cient&#237;ficas muestran una heterogeneidad en los valores de los criterios que definen la prediabetes&#44; que conduce a una variabilidad en las tasas de prevalencia de esta entidad&#46; La ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a> incluye dentro del t&#233;rmino prediabetes a la GBA definida como concentraciones de GPA entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;5&#44;6&#8211;6&#44;9 mmol&#47;l&#41;&#44; y a los valores de HbA1c entre 5&#44;7&#37; y 6&#44;4&#37; &#40;39&#8211;47 mmol&#47;mol&#41;&#46; Por otra parte&#44; la Organizaci&#243;n Mundial de la Salud<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">24</span></a> &#40;OMS&#41; considera hiperglucemia a las concentraciones de GPA entre 110 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;6&#44;1&#8211;6&#44;9 mml&#47;l&#41;&#44; y las gu&#237;as del <span class="elsevierStyleItalic">National Institute for Health and Care Excellence</span><a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">25</span></a> &#40;NICE&#41; y de la <span class="elsevierStyleItalic">Australian Diabetes Society</span><a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">26</span></a> consideran prediabetes valores de HbA1c entre 6&#44;0&#37; y 6&#44;4&#37; &#40;42&#8211;47 mmol&#47;mol&#41;&#46; La SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a>&#44; en consenso con otras sociedades cient&#237;ficas espa&#241;olas&#44; considera prediabetes siguiendo los criterios de la OMS<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">24</span></a> y los de la NICE<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">25</span></a>&#44; ambos criterios tambi&#233;n propuestos por la sociedad <span class="elsevierStyleItalic">Canadian Diabetes</span><a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleItalic">&#46;</span></p><p id="par0110" class="elsevierStylePara elsevierViewall">En el estudio SIMETAP-PRED&#44; la prevalencia de prediabetes era tres veces mayor aplicando los criterios diagn&#243;sticos de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a> que aplicando los de la SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a>&#44; con alta probabilidad debido a que la poblaci&#243;n PRED-ADA tiene valores de GPA y&#47;o de HbA1c m&#225;s amplios que la poblaci&#243;n PRED-SED&#46; Las prevalencias espec&#237;ficas por grupos etarios en ambas poblaciones aumentaban de forma precisa con la edad probablemente debido a la progresiva acumulaci&#243;n de factores cardiometab&#243;licos&#44; cardiovasculares y renales relacionados con la prediabetes&#46; Las tasas de prevalencias ajustadas de prediabetes eran mayores en hombres que en mujeres&#44; similar a lo que ocurre en la DM<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">14&#44;28</span></a>&#44; mostrando diferencias m&#225;s importantes seg&#250;n criterios de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a> &#40;21&#44;3&#37; vs&#46; 17&#44;6&#37;&#41; que los de la SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a> &#40;7&#44;2&#37; vs&#46; 6&#44;3&#37;&#41;&#46; Por otra parte&#44; se detect&#243; que la media de edad de la poblaci&#243;n PRE&#8211;ADA era 2&#44;4 a&#241;os menor que la poblaci&#243;n PRE&#8211;SED y que la proporci&#243;n de hombres con prediabetes era significativamente mayor en los grupos etarios entre 30 y 59 a&#241;os de la poblaci&#243;n PRE&#8211;ADA&#46; Por tanto&#44; con la utilizaci&#243;n de los criterios diagn&#243;sticos m&#225;s amplios de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#44; la detecci&#243;n de la prediabetes ser&#237;a m&#225;s precoz e incluir&#237;a a una mayor proporci&#243;n de sujetos&#44; sobre todo varones&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">Las tasas de prevalencia ajustadas por edad y sexo del estudio SIMETAP-PRED fueron inferiores a las que muestran otros estudios realizados en otros pa&#237;ses<a class="elsevierStyleCrossRefs" href="#bib0355"><span class="elsevierStyleSup">26&#44;29&#8211;35</span></a>&#44; bien sea utilizando criterios de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a> o de la SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a>&#46; En comparaci&#243;n con otros estudios realizados en Espa&#241;a<a class="elsevierStyleCrossRefs" href="#bib0405"><span class="elsevierStyleSup">36&#44;37</span></a>&#44; la tasa de prevalencia ajustada del presente estudio era superior si se utilizaban los criterios de la ADA<a class="elsevierStyleCrossRefs" href="#bib0305"><span class="elsevierStyleSup">16&#44;36</span></a> e inferior si se utilizaban los criterios de la SED<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">17&#44;37</span></a>&#46; La prevalencia fue similar a la del estudio PREDIMERC<a class="elsevierStyleCrossRef" href="#bib0415"><span class="elsevierStyleSup">38</span></a> realizado en la Comunidad de Madrid&#46; Las diferencias se podr&#237;an atribuir a que en el estudio SIMETAP-PRED no se realiz&#243; la sobrecarga de glucosa para determinar la intolerancia a la glucosa&#44; a que la mayor&#237;a de los estudios se basan en encuestas de salud<a class="elsevierStyleCrossRefs" href="#bib0370"><span class="elsevierStyleSup">29&#8211;35</span></a>&#44; y a un mayor rango de edad de la poblaci&#243;n estudiada con respecto al que analizaron los dem&#225;s estudios de comparaci&#243;n&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Es conocido que la prediabetes es un estado de resistencia a la insulina<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">3</span></a> que se asocia con obesidad&#44; per&#237;metro abdominal aumentado&#44; HTA y dislipidemia aterog&#233;nica<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">4&#8211;6&#44;16</span></a>&#44; y que se considera como un factor que aumenta el riesgo de padecer DM<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">1&#44;2</span></a> y ECVA<a class="elsevierStyleCrossRefs" href="#bib0265"><span class="elsevierStyleSup">8&#8211;10&#44;16</span></a>&#46; El IMC se considera que no es un buen indicador en sujetos con talla baja&#44; edad avanzada&#44; musculados&#44; con retenci&#243;n hidrosalina o gestantes<a class="elsevierStyleCrossRef" href="#bib0420"><span class="elsevierStyleSup">39</span></a>&#44; pues no informa de la distribuci&#243;n de la grasa corporal ni diferencia entre masa grasa y magra<a class="elsevierStyleCrossRef" href="#bib0425"><span class="elsevierStyleSup">40</span></a>&#46; Por esta raz&#243;n&#44; las asociaciones americanas de Endocrinolog&#237;a<a class="elsevierStyleCrossRef" href="#bib0430"><span class="elsevierStyleSup">41</span></a> y la Sociedad Espa&#241;ola para el Estudio de la Obesidad &#40;SEEDO&#41;<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">42</span></a> recomiendan el uso de otros indicadores antropom&#233;tricos como el per&#237;metro abdominal&#44; el ICT o algoritmos para estimar la masa grasa como el CUN-BAE<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">18</span></a>&#46; El presente estudio mostr&#243; que el sobrepeso&#44; la obesidad y el ICT aumentado eran factores independientes asociados con la prediabetes&#46; A pesar de que la variable CUN-BAE-obesidad no se incluy&#243; en el an&#225;lisis multivariante por ser una variable compleja que incluye otras variables ya analizadas&#44; esta fue la segunda variable que mostraba mayor asociaci&#243;n con la prediabetes despu&#233;s del SM<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">19</span></a>&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Las prevalencias de HTA&#44; hipercolesterolemia&#44; FGe bajo y albuminuria de la poblaci&#243;n PRED-ADA del estudio SIMETAP-PRED eran m&#225;s frecuentes que en el grupo con prediabetes de la encuesta NHANES<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">6</span></a>&#44; probablemente debido a que la edad media de la poblaci&#243;n del presente estudio era 10 a&#241;os mayor &#40;62 vs&#46; 52 a&#241;os&#41; que la de la encuesta NHANES<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">6</span></a>&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">La HTA fue un factor independiente que mostraba una importante asociaci&#243;n con la prediabetes en ambos grupos&#44; siendo ligeramente inferior en el grupo PRED-ADA que en el grupo PRED-SED&#44; probablemente debido a que en la poblaci&#243;n PRE-ADA hab&#237;a un mayor porcentaje de personas entre 40 y 60 a&#241;os donde la prevalencia de HTA es menor&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">Las variables hipercolesterolemia&#44; HTG&#44; c-HDL bajo y dislipidemia aterog&#233;nica tambi&#233;n mostraban asociaci&#243;n con la prediabetes&#44; siendo la HTG un factor independientemente asociado con PRED-SED y con PRED-ADA&#44; y la hipercolesterolemia con PRED-ADA&#46; Dos estudios recientes han mostrado de forma similar algunas de estas relaciones&#44; siendo la PRED-ADA y no la PRED-SED&#44; un factor independientemente asociado con la HTG y con la dislipidemia aterog&#233;nica<a class="elsevierStyleCrossRefs" href="#bib0440"><span class="elsevierStyleSup">43&#44;44</span></a>&#46; Asumiendo que la prediabetes se considera dentro del concepto del SM<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">19</span></a>&#44; las asociaciones de la obesidad central&#44; HTA&#44; HTG&#44; y c-HDL bajo con PRED-SED y PRED-ADA tambi&#233;n podr&#237;an justificar que el SM<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">19</span></a> fuera la variable que presentaba una mayor asociaci&#243;n con ambos grupos de prediabetes&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Con respecto a la funci&#243;n renal&#44; no se encontr&#243; asociaci&#243;n entre albuminuria y prediabetes&#44; aunque s&#237; se observ&#243; una asociaci&#243;n con el FGe bajo en ambos grupos&#44; mostr&#225;ndose como un factor independiente de riesgo de PRED-ADA&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Las variables de la ECVA y sus componentes&#44; insuficiencia cardiaca&#44; y disfunci&#243;n er&#233;ctil mostraron unas moderadas o ligeras asociaciones&#44; aunque ninguna lleg&#243; a ser un factor independientemente asociado con la prediabetes&#46; Esto apoyar&#237;a la afirmaci&#243;n de que no todas las personas con prediabetes sin ECVA tienen un RCV elevado<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">9&#44;11</span></a>&#44; y que necesiten una valoraci&#243;n del RCV de la misma manera que la precisa la poblaci&#243;n general<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">11</span></a>&#46; Por otra parte&#44; el estudio SIMETAP-PRED muestra que el porcentaje de pacientes con RCV alto o muy alto en las poblaciones PRED-SED y PRED-ADA era del 68&#44;6&#37; y 61&#44;7&#37; respectivamente&#44; y que hay diferencias significativas en las prevalencias de enfermedad coronaria e ictus entre las poblaciones con y sin prediabetes&#44; por lo que se podr&#237;an detectar algunos signos de da&#241;o vascular arterioscler&#243;tico y evitar su progresi&#243;n si se interviniera precozmente sobre los factores que la favorecen<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">45</span></a>&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Una limitaci&#243;n del presente estudio fue la incapacidad para determinar causalidad o estimar tasas de incidencia al tratarse de un estudio transversal&#46; Otras limitaciones ten&#237;an relaci&#243;n con el posible infradiagn&#243;stico pues no se realiz&#243; <span class="elsevierStyleItalic">ad hoc</span> la sobrecarga oral de glucosa para determinar la intolerancia a la glucosa en pacientes sin DM y un 18&#44;9&#37; de la poblaci&#243;n de estudio no ten&#237;a informaci&#243;n sobre HbA1c&#44; aunque todos pod&#237;an ser diagnosticados de prediabetes utilizando los respectivos criterios de GPA&#46; Por otra parte&#44; por protocolo no se incluy&#243; en el estudio a mujeres en periodo de gestaci&#243;n&#44; pacientes terminales&#44; institucionalizados&#44; o con deterioro cognitivo&#46; Las principales fortalezas del presente estudio fueron la selecci&#243;n aleatoria con base poblacional&#44; una muestra grande que incluy&#243; a toda la poblaci&#243;n adulta entre 18 y 102 a&#241;os de edad&#44; y la evaluaci&#243;n de la posible asociaci&#243;n con numerosas variables cardiometab&#243;licas&#44; cardiovasculares y renales&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">Las anomal&#237;as en el metabolismo hidrocarbonado pueden detectarse hasta 10 a&#241;os antes del diagn&#243;stico de DM<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">1</span></a>&#44; por lo que una detecci&#243;n precoz de la prediabetes permitir&#237;a aplicar medidas para prevenir su aparici&#243;n mediante el control del peso&#44; la presi&#243;n arterial y la dislipidemia&#46; La menor exigencia en los criterios diagn&#243;sticos de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#44; con un rango de valores de GPA y HbA1c m&#225;s amplios&#44; posiblemente sean los m&#225;s adecuados para alcanzar estos objetivos&#46; En resumen&#44; la detecci&#243;n m&#225;s temprana de la prediabetes y la mayor asociaci&#243;n de factores cardiometab&#243;licos y renales con los par&#225;metros PRED-ADA&#44; podr&#237;an inclinar la balanza a su favor a la hora de decidir entre los criterios de la SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a> o de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">El estudio SIMETAP-PRED muestra c&#243;mo la prediabetes est&#225; muy influenciada por la edad&#44; por lo que su prevalencia siempre se deber&#237;a documentar con tasas ajustadas por edad para poder comparar con otras poblaciones&#46; Por otra parte&#44; tambi&#233;n muestra una elevada prevalencia en la poblaci&#243;n mayor de 60 a&#241;os por lo que ser&#237;a necesaria la realizaci&#243;n de m&#225;s estudios epidemiol&#243;gicos dirigidos a toda la poblaci&#243;n&#46; La elevada prevalencia de prediabetes repercute sobre las cargas socioecon&#243;mica y sanitaria al aumentar el riesgo de DM y la morbimortalidad cardiovascular&#46; La valoraci&#243;n de la prevalencia de prediabetes es muy importante para planificar y optimizar los recursos de salud disponibles&#44; y para mejorar la atenci&#243;n m&#233;dica implementando medidas de prevenci&#243;n cardiovascular y del riesgo de DM&#44; como son las eficaces modificaciones de los estilos de vida en los pacientes con prediabetes&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conclusiones</span><p id="par0165" class="elsevierStylePara elsevierViewall">La prevalencia ajustada por edad de prediabetes era 6&#44;6&#37; si se utilizaban los criterios de la SED&#44; y 19&#44;1&#37; si se segu&#237;an los criterios de la ADA&#44; increment&#225;ndose con la edad&#44; y siendo ligeramente m&#225;s elevada en los hombres que en las mujeres&#46; El 68&#44;6&#37; de la poblaci&#243;n con PRED-SED y el 61&#44;7&#37; de la poblaci&#243;n con PRED-ADA ten&#237;an un RCV alto o muy alto&#46; En la poblaci&#243;n estudiada en el estudio SIMETAP-PRED&#44; los factores cardiometab&#243;licos sobrepeso&#44; obesidad&#44; ICT aumentado&#44; HTA e HTG se asocian independientemente con la prediabetes diagnosticada con los criterios de la SED<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">17</span></a> o de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#46; Adem&#225;s de estos factores&#44; la hipercolesterolemia y el FGe bajo se asocian independientemente con la prediabetes diagnosticada con criterios de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#46; La mayor asociaci&#243;n con factores cardiometab&#243;licos&#44; cardiovasculares y renales&#44; y la mayor detecci&#243;n de prediabetes siguiendo los criterios de la ADA<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">16</span></a>&#44; mejorar&#237;a su diagn&#243;stico precoz y posibilitar&#237;a una intervenci&#243;n precoz sobre todos estos factores&#44; con el fin de disminuir la progresi&#243;n de la prediabetes hacia DM y reducir el riesgo de ECVA en los pacientes con prediabetes&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Comit&#233; &#201;tico de Investigaci&#243;n</span><p id="par0170" class="elsevierStylePara elsevierViewall">Comisi&#243;n de Investigaci&#243;n de la Gerencia Adjunta de Planificaci&#243;n y Calidad&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">Gerencia de Atenci&#243;n Primaria&#46; Servicio Madrile&#241;o de Salud &#40;SERMAS&#41;&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Financiaci&#243;n</span><p id="par0180" class="elsevierStylePara elsevierViewall">La financiaci&#243;n del estudio SIMETAP &#40;C&#243;digo Beca&#58; 05&#47;2010RS&#41; fue aprobada seg&#250;n la Orden 472&#47;2010&#44; de 16 de septiembre&#44; de la Consejer&#237;a de Sanidad&#44; por la que se aprueban las bases reguladoras y la convocatoria de ayudas para el a&#241;o 2010 de la Agencia &#171;Pedro La&#237;n Entralgo&#187; de Formaci&#243;n&#44; Investigaci&#243;n y Estudios Sanitarios de la Comunidad de Madrid&#44; para la realizaci&#243;n de proyectos de investigaci&#243;n en el campo de resultados en salud en atenci&#243;n primaria&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Autor&#237;a&#47;colaboradores</span><p id="par0185" class="elsevierStylePara elsevierViewall">Ezequiel Arranz-Mart&#237;nez y Antonio Ruiz-Garc&#237;a comparten primer autor&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflicto de intereses</span><p id="par0190" class="elsevierStylePara elsevierViewall">Los autores declaran no tiener ning&#250;n conflicto de intereses&#46;</p></span></span>"
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    "fechaRecibido" => "2021-10-12"
    "fechaAceptado" => "2021-12-01"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introducci&#243;n</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">La prediabetes constituye un importante problema de salud p&#250;blica&#46; Los objetivos del estudio fueron determinar la prevalencia de prediabetes seg&#250;n dos criterios diagn&#243;sticos&#44; y comparar la asociaci&#243;n de factores de riesgo cardiometab&#243;licos y renales entre las poblaciones con y sin prediabetes&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">M&#233;todos</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Estudio observacional transversal realizado en el &#225;mbito de Atenci&#243;n Primaria&#46; Muestra aleatoria de base poblacional&#58; 6&#46;588 sujetos de estudio &#40;tasa de respuesta&#58; 66&#37;&#41;&#46; Se utilizaron dos criterios diagn&#243;sticos&#58; 1&#41; prediabetes seg&#250;n la Sociedad Espa&#241;ola de Diabetes &#40;PRED-SED&#41;&#58; glucosa plasm&#225;tica en ayunas 110&#8211;125<span class="elsevierStyleHsp" style=""></span>mg&#47;dL o HbA1c 6&#44;0&#37;&#8211;6&#44;4&#37;&#59; 2&#41; prediabetes seg&#250;n la Asociaci&#243;n Americana de Diabetes &#40;PRED-ADA&#41;&#58; glucosa plasm&#225;tica en ayunas 100&#8211;125<span class="elsevierStyleHsp" style=""></span>mg&#47;dL o HbA1c 5&#44;7&#37;&#8211;6&#44;4&#37;&#46; Se evaluaron las prevalencias crudas y ajustadas por edad y sexo&#44; y las variables cardiometab&#243;licas y renales asociadas con prediabetes&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Resultados</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Las prevalencias crudas de PRED-SED y PRED-ADA fueron 7&#44;9&#37; &#40;IC95&#37; 7&#44;3&#8211;8&#44;6&#37;&#41;&#44; y 22&#44;0&#37; &#40;IC95&#37; 21&#44;0&#8211;23&#44;0&#37;&#41; respectivamente&#44; y sus prevalencias ajustadas fueron 6&#44;6&#37; y 19&#44;1&#37; respectivamente&#46; El riesgo cardiovascular alto o muy alto de las poblaciones PRED-SED y PRED-ADA fueron 68&#44;6&#37; &#40;IC95&#37; 64&#44;5&#8211;72&#44;6&#37;&#41; y 61&#44;7&#37; &#40;IC95&#37; 59&#44;1&#8211;64&#44;1&#37;&#41; respectivamente&#46; La hipertensi&#243;n&#44; hipertrigliceridemia&#44; sobrepeso&#44; obesidad y el &#237;ndice cintura-talla aumentado se asociaban independientemente con PRED-SED&#46; Adem&#225;s de estos factores&#44; el filtrado glomerular bajo y la hipercolesterolemia tambi&#233;n se asociaban independientemente con PRED-ADA&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusiones</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">La prevalencia de PRED-ADA triplica a la PRED-SED&#46; Dos tercios de la poblaci&#243;n con prediabetes ten&#237;an un riesgo cardiovascular elevado&#46; Varios factores de riesgo cardiometab&#243;licos y renales se asociaban con la prediabetes&#46; En comparaci&#243;n con los criterios de la SED&#44; los criterios de la ADA facilitan m&#225;s el diagn&#243;stico de la prediabetes&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introduction</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Prediabetes is a major public health problem&#46; The aims of the SIMETAP-PRED study were to determine the prevalence rates of prediabetes according to two diagnostic criteria&#44; and to compare the association of cardiometabolic and renal risk factors between populations with and without prediabetes&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Methods</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Cross-sectional observational study conducted in Primary Care&#46; Based random sample&#58; 6&#44;588 study subjects &#40;response rate&#58; 66&#37;&#41;&#46; Two diagnostic criteria for prediabetes were used&#58; 1&#41; prediabetes according to the Spanish Diabetes Society &#40;PRED-SDS&#41;&#58; Fasting plasma glucose &#40;FPG&#41; 110&#8211;125<span class="elsevierStyleHsp" style=""></span>mg&#47;dL or HbA1c 6&#46;0&#37; &#8211;6&#46;4&#37;&#59; 2&#41; prediabetes according to the American Diabetes Association &#40;PRED-ADA&#41;&#58; FPG 100&#8211;125<span class="elsevierStyleHsp" style=""></span>mg&#47;dL or HbA1c 5&#46;7&#37;&#8211;6&#46;4&#37;&#46; The crude and sex- and age-adjusted prevalence rates&#44; and cardiometabolic and renal variables associated with prediabetes were assessed&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The crude prevalence rates of PRED-SDS and PRED-ADA were 7&#46;9&#37; &#40;95&#37; <span class="elsevierStyleSmallCaps">C</span>I 7&#46;3&#8211;8&#46;6&#37;&#41;&#44; and 22&#46;0&#37; &#40;95&#37; CI 21&#46;0&#8211;23&#46;0&#37;&#41; respectively&#44; their age-adjusted prevalence rates were 6&#46;6&#37; and 19&#46;1 respectively&#46; The high or very high cardiovascular risk of the PRED-SDS or PRED-ADA populations were 68&#46;6&#37; &#40;95&#37;CI 64&#46;5&#8211;72&#46;6&#37;&#41; and 61&#46;7&#37; &#40;95&#37;CI 59&#46;1&#8211;64&#46;1&#37;&#41; respectively&#46; Hypertension&#44; hypertriglyceridemia&#44; overweight&#44; obesity&#44; and increased waist-to-height ratio were independently associated with PRED-SDS&#46; In addition to these factors&#44; low glomerular filtration rate and hypercholesterolemia were also independently associated with PRED-ADA&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusions</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">The prevalence of PRED-ADA triples that of PRED-SDS&#46; Two thirds of the population with prediabetes had a high cardiovascular risk&#46; Several cardiometabolic and renal risk factors were associated with prediabetes&#46; Compared to the SDS criteria&#44; the ADA criteria make the diagnosis of prediabetes easier&#46;</p></span>"
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            "apendice" => "<p id="par0200" class="elsevierStylePara elsevierViewall">Agradecemos el esfuerzo y dedicaci&#243;n de los siguientes m&#233;dicos que han participado en el Grupo de Investigaci&#243;n del Estudio SIMETAP&#58; Abad Schilling C&#44; Adri&#225;n Sanz M&#44; Aguilera Reija P&#44; Alcaraz Bethencourt A&#44; Alonso Roca R&#44; &#193;lvarez Benedicto R&#44; Arranz Mart&#237;nez E&#44; Arribas &#193;lvaro P&#44; Baltuille Aller MC&#44; Barrios Rueda E&#44; Benito Alonso E&#44; Berbil Bautista ML&#44; Blanco Canseco JM&#44; Caballero Ram&#237;rez N&#44; Cabello Igual P&#44; Cabrera V&#233;lez R&#44; Calder&#237;n Morales MP&#44; Capit&#225;n Caldas M&#44; Casaseca Calvo TF&#44; Cique Herr&#225;inz JA&#44; Ciria de Pablo C&#44; Chao Escuer P&#44; D&#225;vila Bl&#225;zquez G&#44; de la Pe&#241;a Ant&#243;n N&#44; de Prado Prieto L&#44; del Villar Redondo MJ&#44; Delgado Rodr&#237;guez S&#44; D&#237;ez P&#233;rez MC&#44; Dur&#225;n Tejada MR&#44; Escamilla Guijarro N&#44; Escriv&#225; Ferrair&#243; RA&#44; Fern&#225;ndez Vicente T&#44; Fern&#225;ndez-Pacheco Vila D&#44; Fr&#237;as Vargas MJ&#44; Garc&#237;a &#193;lvarez JC&#44; Garc&#237;a Fern&#225;ndez ME&#44; Garc&#237;a Garc&#237;a Alca&#241;iz MP&#44; Garc&#237;a Granado MD&#44; Garc&#237;a Pliego RA&#44; Garc&#237;a Redondo MR&#44; Garc&#237;a Villasur MP&#44; G&#243;mez D&#237;az E&#44; G&#243;mez Fern&#225;ndez O&#44; Gonz&#225;lez Escobar P&#44; Gonz&#225;lez-Posada Delgado JA&#44; Guti&#233;rrez S&#225;nchez I&#44; Hern&#225;ndez Beltr&#225;n MI&#44; Hern&#225;ndez de Luna MC&#44; Hern&#225;ndez L&#243;pez RM&#44; Hidalgo Calleja Y&#44; Holgado Catal&#225;n MS&#44; Hombrados Gonzalo MP&#44; Hueso Quesada R&#44; Ibarra S&#225;nchez AM&#44; Iglesias Quintana JR&#44; &#205;scar Valenzuela I&#44; Iturmendi Mart&#237;nez N&#44; Javierre Miranda AP&#44; L&#243;pez Uriarte B&#44; Lorenzo Borda MS&#44; Luna Ram&#237;rez S&#44; Macho del Barrio AI&#44; Mag&#225;n Tapia P&#44; Mara&#241;&#243;n Henrich N&#44; Mari&#241;o Su&#225;rez JE&#44; Mart&#237;n Calle MC&#44; Mart&#237;n Fern&#225;ndez AI&#44; Mart&#237;nez Cid de Rivera E&#44; Mart&#237;nez Irazusta J&#44; Miguel&#225;&#241;ez Valero A&#44; Minguela Puras ME&#44; Montero Costa A&#44; Mora Casado C&#44; Morales Cobos LE&#44; Morales Chico MR&#44; Moreno Fern&#225;ndez JC&#44; Moreno Mu&#241;oz MS&#44; Palacios Mart&#237;nez D&#44; Pascual Val T&#44; P&#233;rez Fern&#225;ndez M&#44; P&#233;rez Mu&#241;oz R&#44; Plata Barajas MT&#44; Pleite Raposo R&#44; Prieto Marcos M&#44; Quintana G&#243;mez JL&#44; Redondo de Pedro S&#44; Redondo S&#225;nchez M&#44; Reguillo D&#237;az J&#44; Rem&#243;n P&#233;rez B&#44; Revilla Pascual E&#44; Rey L&#243;pez AM&#44; Ribot Catal&#225; C&#44; Rico P&#233;rez MR&#44; Rivera Teijido M&#44; Rodr&#237;guez Cabanillas R&#44; Rodr&#237;guez de Coss&#237;o A&#44; Rodr&#237;guez De Mingo E&#44; Rodr&#237;guez Rodr&#237;guez AO&#44; Rosillo Gonz&#225;lez A&#44; Rubio Villar M&#44; Ruiz D&#237;az L&#44; Ruiz Garc&#237;a A&#44; S&#225;nchez Calso A&#44; S&#225;nchez Herr&#225;iz M&#44; S&#225;nchez Ramos MC&#44; Sanchidri&#225;n Fern&#225;ndez PL&#44; Sand&#237;n de Vega E&#44; Sanz Pozo B&#44; Sanz Velasco C&#44; Sarri&#225; S&#225;nchez MT&#44; Simonaggio Stancampiano P&#44; Tello Meco I&#44; Vargas-Machuca Caba&#241;ero C&#44; Velazco Zumarr&#225;n JL&#44; Vieira Pascual MC&#44; Zafra Urango C&#44; Zamora G&#243;mez MM&#44; Zarzuelo Mart&#237;n N&#46;</p>"
            "etiqueta" => "Appendix A"
            "titulo" => "Reconocimientos"
            "identificador" => "sec0050"
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                  \t\t\t\t">CT &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">C-No-HDL &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">TG &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">C-LDL &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#193;c&#46; &#250;rico &#40;mg&#47;dL&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">AST &#40;U&#47;l&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Creatinina &#40;mg&#47;dL&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">FGe &#40;ml&#47;min&#47;1&#44;73m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adiposidad &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&#44;8 &#40;8&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#44;1 &#40;8&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAS &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">126&#44;0 &#40;14&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">120&#44;8 &#40;15&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">5&#44;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAD &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">75&#44;9 &#40;9&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">72&#44;6 &#40;9&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GPA &#40;mg&#47;dL&#41; <a class="elsevierStyleCrossRef" href="#tblfn0055"><span class="elsevierStyleSup">d</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">100&#44;5 &#40;10&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">94&#44;8 &#40;28&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#44;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">HbA1c &#40;&#37;&#41; <a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#44;70 &#40;0&#44;34&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;810&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">&#205;ndice TyG&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8&#44;67 &#40;0&#44;53&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8&#44;44 &#40;0&#44;61&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CT &#40;mg&#47;dL&#41; <a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">f</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200&#44;9 &#40;38&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">190&#44;5 &#40;39&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#44;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">C-HDL &#40;mg&#47;dL&#41; <a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">f</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;449&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;7 &#40;14&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#44;2 &#40;14&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">-1&#44;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">C-LDL &#40;mg&#47;dL&#41; <a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">f</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;429&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">120&#44;8 &#40;33&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;097&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">112&#44;3 &#40;34&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#44;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">C-VLDL &#40;mg&#47;dL&#41; <a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">f</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;429&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#44;1 &#40;12&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;097&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#44;3 &#40;12&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">CT &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">C-No-HDL &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">C-LDL &#47; C-HDL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;9 &#40;0&#44;8-1&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Inactividad f&#237;sica&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">274 &#40;52&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;805 &#40;46&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;3 &#40;1&#44;1-1&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">717 &#40;49&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;362 &#40;46&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;1 &#40;1&#44;0-1&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sobrepeso&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">208 &#40;39&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;308 &#40;38&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;1 &#40;0&#44;9-1&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">612 &#40;42&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;904 &#40;37&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;2 &#40;1&#44;1-1&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">227 &#40;43&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;606 &#40;26&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;1 &#40;1&#44;8-2&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">547 &#40;37&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;286 &#40;25&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;8 &#40;1&#44;6-2&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CUN-BAE-obesidad&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">475 &#40;90&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;357 &#40;71&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;9 &#40;2&#44;9-5&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;273 &#40;87&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">3&#46;559 &#40;69&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;2 &#40;2&#44;7-3&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad central&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">318 &#40;60&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">2&#46;604 &#40;42&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;1 &#40;1&#44;7-2&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">828 &#40;57&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;094 &#40;40&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;9 &#40;1&#44;7-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ICT aumentado&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">291 &#40;55&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;070 &#40;34&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">2&#44;4 &#40;2&#44;0-2&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">722 &#40;49&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;639 &#40;31&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;1 &#40;1&#44;9-2&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">309 &#40;59&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;238 &#40;36&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">2&#44;5 &#40;2&#44;1-3&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">754 &#40;52&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;793 &#40;34&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">2&#44;0 &#40;1&#44;8-2&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipercolesterolemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">387 &#40;74&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">3&#46;714 &#40;61&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#44;8 &#40;1&#44;5-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&#46;065 &#40;73&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;036 &#40;59&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;9 &#40;1&#44;7-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">C-HDL bajo&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">186 &#40;35&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;633 &#40;26&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#44;5 &#40;1&#44;2-1&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">428 &#40;29&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;391 &#40;27&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#44;1 &#40;1&#44;0-1&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertrigliceridemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">226 &#40;43&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;721 &#40;28&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;9 &#40;1&#44;6-2&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">553 &#40;38&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;7 &#40;1&#44;5-1&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Dislipidemia aterog&#233;nica&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">113 &#40;21&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">828 &#40;13&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;7 &#40;1&#44;4-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">694 &#40;13&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;3 &#40;1&#44;1-1&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">415 &#40;79&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2&#46;436 &#40;40&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">5&#44;7 &#40;4&#44;6-7&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#44;7 &#40;4&#44;2-5&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ECVA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">74 &#40;14&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">541 &#40;8&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#44;7 &#40;1&#44;3-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">182 &#40;12&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">433 &#40;8&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;6 &#40;1&#44;3-1&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Enfermedad coronaria&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">34 &#40;6&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">287 &#40;4&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;4 &#40;1&#44;0-2&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">93 &#40;6&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">228 &#40;4&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;5 &#40;1&#44;1-1&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ictus&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">33 &#40;6&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">217 &#40;3&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;8 &#40;1&#44;2-2&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">77 &#40;5&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">173 &#40;3&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;6 &#40;1&#44;2-2&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">EAP&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">16 &#40;3&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">134 &#40;2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;4 &#40;0&#44;8-2&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">35 &#40;2&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">115 &#40;2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;1 &#40;0&#44;7-1&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Insuficiencia cardiaca&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">23 &#40;4&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">161 &#40;2&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;7 &#40;1&#44;1-2&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">49 &#40;3&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">135 &#40;2&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;3 &#40;0&#44;9-1&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Fibrilaci&#243;n auricular&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">33 &#40;6&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">217 &#40;3&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;8 &#40;1&#44;2-2&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">80 &#40;5&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">170 &#40;3&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#44;7 &#40;1&#44;3-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Disfunci&#243;n er&#233;ctil&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">61 &#40;24&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">443 &#40;16&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&#44;6 &#40;1&#44;2-2&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">143 &#40;20&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">361 &#40;16&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&#44;3 &#40;1&#44;0-1&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Albuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">342 &#40;8&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">290 &#40;8&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">350 &#40;6&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">89 &#40;17&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">667 &#40;11&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#44;6 &#40;1&#44;3-1&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Hipertensi&#243;n&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">ICT aumentado&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22683128"
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                        "fecha" => "2018"
                        "paginaInicial" => "CD012661"
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                      "autores" => array:1 [
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                          "autores" => array:5 [
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                            2 => "W&#46; Mai"
                            3 => "M&#46; Li"
                            4 => "Y&#46; Hu"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/31497854"
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                    0 => array:2 [
                      "titulo" => "Issues in defining the burden of prediabetes globally"
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                          "autores" => array:3 [
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30229351"
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                      "titulo" => "Long-term non-pharmacological weight loss interventions for adults with prediabetes"
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                            2 => "A&#46; Avenell"
                            3 => "E&#46; Gregg"
                            4 => "C&#46;H&#46; Schmid"
                            5 => "J&#46; Lau"
                          ]
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              ]
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                      "titulo" => "IDF Diabetes Atlas Committee&#46; Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045&#58; Results from the International Diabetes Federation Diabetes Atlas 9<span class="elsevierStyleHsp" style=""></span>th edition"
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                            4 => "S&#46; Karuranga"
                            5 => "N&#46; Unwin"
                          ]
                        ]
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                    ]
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                        "fecha" => "2019"
                        "volumen" => "157"
                        "paginaInicial" => "107843"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/31518657"
                            "web" => "Medline"
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                ]
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                      "titulo" => "Poblaci&#243;n y metodolog&#237;a del estudio SIMETAP&#58; prevalencia de factores de riesgo cardiovascular&#44; enfermedades cardiovasculares y enfermedades metab&#243;licas relacionadas"
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                      ]
                    ]
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                  "host" => array:1 [
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                      "Revista" => array:6 [
                        "tituloSerie" => "Clin Investig Arterioscler&#46;"
                        "fecha" => "2018"
                        "volumen" => "30"
                        "paginaInicial" => "197"
                        "paginaFinal" => "208"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29980384"
                            "web" => "Medline"
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              ]
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              "etiqueta" => "17"
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                      "titulo" => "Consenso sobre la detecci&#243;n y el manejo de la prediabetes Grupo de Trabajo de Consensos y Gu&#237;as Cl&#237;nicas de la Sociedad Espa&#241;ola de Diabetes"
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                            3 => "P&#46; Ezkurra-Loyola"
                            4 => "J&#46;C&#46; Ferrer-Garc&#237;a"
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                  "host" => array:1 [
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                        "tituloSerie" => "Semergen&#46;"
                        "fecha" => "2015"
                        "volumen" => "41"
                        "paginaInicial" => "266"
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            17 => array:3 [
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              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Clinical usefulness of a new equation for estimating body fat"
                      "autores" => array:1 [
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                          "autores" => array:6 [
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                            5 => "J&#46; Escalada"
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                    ]
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                        "tituloSerie" => "Diabetes Care&#46;"
                        "fecha" => "2012"
                        "volumen" => "35"
                        "paginaInicial" => "383"
                        "paginaFinal" => "388"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22179957"
                            "web" => "Medline"
                          ]
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                      ]
                    ]
                  ]
                ]
              ]
            ]
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              "identificador" => "bib0320"
              "etiqueta" => "19"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Harmonizing the metabolic syndrome&#58; A joint interim statement of the International Diabetes Federation task force on Epidemiology and Prevention&#59; National Heart Lung&#44; and Blood Institute&#59; American Heart Association&#59; World Heart Federation&#59; International Atherosclerosis Society&#59; and International Association for the Study of Obesity"
                      "autores" => array:1 [
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                            3 => "P&#46;Z&#46; Zimmet"
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                        ]
                      ]
                    ]
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                  "host" => array:1 [
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                        "tituloSerie" => "Circulation&#46;"
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                        "paginaInicial" => "1640"
                        "paginaFinal" => "1645"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19805654"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
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              "identificador" => "bib0325"
              "etiqueta" => "20"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Developed with the special contribution of the European Association for Cardiovascular Prevention &#38; Rehabilitation &#40;EACPR&#41;"
                      "autores" => array:1 [
                        0 => array:3 [
                          "colaboracion" => "2016 European Guidelines on cardiovascular disease prevention in clinical practice&#46; The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice &#40;constituted by representatives of 10 societies and by invited experts&#41;"
                          "etal" => true
                          "autores" => array:6 [
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                            3 => "C&#46; Albus"
                            4 => "C&#46; Brotons"
                            5 => "A&#46;L&#46; Catapano"
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                        ]
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                    ]
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                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1093/eurheartj/ehw106"
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                        "volumen" => "37"
                        "paginaInicial" => "2315"
                        "paginaFinal" => "2381"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27222591"
                            "web" => "Medline"
                          ]
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                    ]
                  ]
                ]
              ]
            ]
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              "identificador" => "bib0330"
              "etiqueta" => "21"
              "referencia" => array:1 [
                0 => array:2 [
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                    0 => array:2 [
                      "titulo" => "Cardiovascular disease risk estimation in older persons&#58; SCORE O&#46;P"
                      "autores" => array:1 [
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                            3 => "A&#46; Tverdal"
                            4 => "A&#46; Menotti"
                            5 => "T&#46; Thomsen"
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                  "host" => array:1 [
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                        "tituloSerie" => "Eur J Prev Cardiol&#46;"
                        "fecha" => "2016"
                        "volumen" => "23"
                        "paginaInicial" => "1093"
                        "paginaFinal" => "1103"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26040999"
                            "web" => "Medline"
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                ]
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              "identificador" => "bib0335"
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              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "Instituto Nacional de Estad&#237;stica&#46; INEbase&#46; Demograf&#237;a y poblaci&#243;n&#46; Cifras de poblaci&#243;n y Censos demogr&#225;ficos&#46; Cifras de poblaci&#243;n&#46; &#91;consultado 30 Nov 2021&#93;&#46; Disponible en&#58; http&#58;&#47;&#47;www&#46;ine&#46;es&#47;dynt3&#47;inebase&#47;es&#47;index&#46;htm&#63;padre<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1894&#8745;sel<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1895&#46;"
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              "identificador" => "bib0340"
              "etiqueta" => "23"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Annual incidence and relative risk of diabetes in people with various categories of dysglycemia&#58; a systematic overview and meta-analysis of prospective studies"
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                          "etal" => true
                          "autores" => array:6 [
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                            4 => "C&#46; Balion"
                            5 => "D&#46; Hunt"
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                        ]
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                  ]
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                    0 => array:2 [
                      "doi" => "10.1016/j.diabres.2007.05.004"
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                        "tituloSerie" => "Diabetes Res Clin Pract&#46;"
                        "fecha" => "2007"
                        "volumen" => "78"
                        "paginaInicial" => "305"
                        "paginaFinal" => "312"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17601626"
                            "web" => "Medline"
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              "etiqueta" => "24"
              "referencia" => array:1 [
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                  "referenciaCompleta" => "World Health Organization &#40;WHO&#41;&#46; Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia&#46; Report of a WHO&#47;IDF&#46; 2006&#46; &#91;consultado 30 Nov 2021&#93;&#46; Disponible en&#58; http&#58;&#47;&#47;www&#46;who&#46;int&#47;diabetes&#47;publications&#47;diagnosis&#95;diabetes2006&#47;en&#47;&#46;"
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              "etiqueta" => "25"
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              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prediabetes&#58; a position statement from the Australian Diabetes Society and Australian Diabetes Educators Association"
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                          "autores" => array:5 [
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              "referencia" => array:1 [
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                    0 => array:2 [
                      "titulo" => "Diabetes Canada 2018 Clinical Practice Guidelines for the Prevention and Management of Diabetes in Canada&#58; Definition&#44; classification and diagnosis of diabetes&#44; prediabetes and metabolic syndrome"
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              "etiqueta" => "28"
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                      "titulo" => "Prevalencia de diabetes mellitus en el &#225;mbito de la atenci&#243;n primaria espa&#241;ola y su asociaci&#243;n con factores de riesgo cardiovascular y enfermedades cardiovasculares&#46; Estudio SIMETAP-DM"
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                        "paginaInicial" => "15"
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                        "link" => array:1 [
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/31130360"
                            "web" => "Medline"
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                      "titulo" => "Prevalence of prediabetes and undiagnosed type 2 diabetes in France&#58; Results from the national survey ESTEBAN&#44; 2014-2016"
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                            5 => "E&#46; Cosson"
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                      "titulo" => "Diabetes and prediabetes among adults in Los Angeles County and the United States&#44; 1999-2006 and 2007-2014"
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                            1 => "M&#46;D&#46; Carroll"
                            2 => "T&#46; Kuo"
                            3 => "P&#46;A&#46; Simon"
                          ]
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                        "fecha" => "2019"
                        "volumen" => "123"
                        "paginaInicial" => "1"
                        "paginaFinal" => "8"
                      ]
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              "etiqueta" => "31"
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                0 => array:2 [
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                    0 => array:2 [
                      "titulo" => "Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013"
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                          "autores" => array:6 [
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                            1 => "P&#46; Gao"
                            2 => "M&#46; Zhang"
                            3 => "Z&#46; Huang"
                            4 => "D&#46; Zhang"
                            5 => "Q&#46; Deng"
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                        "paginaInicial" => "2515"
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                            "web" => "Medline"
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                      "titulo" => "Prevalence of prediabetes in England from 2003 to 2011&#58; population-based&#44; cross-sectional study"
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                            3 => "C&#46;E&#46; Zayas"
                            4 => "C&#46;A&#46; Harle"
                          ]
                        ]
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                    ]
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                            "web" => "Medline"
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                            3 => "K&#46; Ku&#269;era"
                            4 => "K&#46; Ro&#382;ekov&#225;"
                            5 => "K&#46; &#381;ejglicov&#225;"
                          ]
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                      ]
                    ]
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                            "web" => "Medline"
                          ]
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                    0 => array:2 [
                      "titulo" => "Public health burden of pre-diabetes and diabetes in Luxembourg&#58; finding from the 2013-2015 European Health Examination Survey"
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                            5 => "G&#46; Michel"
                          ]
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                            "web" => "Medline"
                          ]
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              ]
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Temporal changes in the prevalence of diagnosed diabetes&#44; undiagnosed diabetes and prediabetes&#58; findings from the German Health Interview and Examination Surveys in 1997-1999 and 2008-2011"
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                            2 => "R&#46; Paprott"
                            3 => "M&#46; Haftenberger"
                            4 => "W&#46; Rathmann"
                            5 => "C&#46; Scheidt-Nave"
                          ]
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                        "tituloSerie" => "Diabet Med&#46;"
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                        "volumen" => "33"
                        "paginaInicial" => "1406"
                        "paginaFinal" => "1414"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26498983"
                            "web" => "Medline"
                          ]
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                      ]
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                ]
              ]
            ]
            35 => array:3 [
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalence and control of type 2 diabetes mellitus among primary care physicians in Spain&#46; PRISMA Study"
                      "autores" => array:1 [
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                          "etal" => false
                          "autores" => array:6 [
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                            1 => "J&#46; Mediavilla-Bravo"
                            2 => "M&#46; Mata-Cases"
                            3 => "D&#46; Mauricio"
                            4 => "D&#46; Asensio"
                            5 => "J&#46; Sarroca"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.endinu.2017.03.003"
                      "Revista" => array:6 [
                        "tituloSerie" => "Endocrinol Diabetes Nutr&#46;"
                        "fecha" => "2017"
                        "volumen" => "64"
                        "paginaInicial" => "265"
                        "paginaFinal" => "271"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28495322"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            36 => array:3 [
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              "etiqueta" => "37"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalence of diabetes mellitus and impaired glucose regulation in Spain&#58; the Di&#64;bet&#46;es Study"
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                          "etal" => true
                          "autores" => array:6 [
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                            1 => "A&#46; Goday"
                            2 => "A&#46; Bosch-Comas"
                            3 => "E&#46; Bordi&#250;"
                            4 => "A&#46; Calle-Pascual"
                            5 => "R&#46; Carmena"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1007/s00125-011-2336-9"
                      "Revista" => array:6 [
                        "tituloSerie" => "Diabetologia&#46;"
                        "fecha" => "2012"
                        "volumen" => "55"
                        "paginaInicial" => "88"
                        "paginaFinal" => "93"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21987347"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            37 => array:3 [
              "identificador" => "bib0415"
              "etiqueta" => "38"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalencia de diabetes mellitus y factores de riesgo cardiovascular en la poblaci&#243;n adulta de la Comunidad de Madrid&#58; estudio PREDIMERC"
                      "autores" => array:1 [
                        0 => array:2 [
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                          "autores" => array:6 [
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                            1 => "B&#46; Zorrilla-Torras"
                            2 => "H&#46; Ortiz-Marr&#243;n"
                            3 => "M&#46; Mart&#237;nez-Cort&#233;s"
                            4 => "E&#46; Donoso-Navarro"
                            5 => "P&#46; Nogales-Aguado"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.gaceta.2010.01.010"
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                        "tituloSerie" => "Gac Sanit&#46;"
                        "fecha" => "2010"
                        "volumen" => "24"
                        "paginaInicial" => "233"
                        "paginaFinal" => "240"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20381212"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            38 => array:3 [
              "identificador" => "bib0420"
              "etiqueta" => "39"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "General and abdominal obesity parameters and their combination in relation to mortality&#58; A systematic review and meta-regression analysis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "S&#46; Carmienke"
                            1 => "M&#46;H&#46; Freitag"
                            2 => "T&#46; Pischon"
                            3 => "P&#46; Schlattmann"
                            4 => "T&#46; Fank-haenel"
                            5 => "H&#46; Goebel"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1038/ejcn.2013.61"
                      "Revista" => array:6 [
                        "tituloSerie" => "Eur J Clin Nutr&#46;"
                        "fecha" => "2013"
                        "volumen" => "67"
                        "paginaInicial" => "573"
                        "paginaFinal" => "585"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23511854"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            39 => array:3 [
              "identificador" => "bib0425"
              "etiqueta" => "40"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Association of all-cause mortality with overweight and obesity using standard body mass index categories&#58; A systematic review and meta-analysis"
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                          "autores" => array:4 [
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                            2 => "H&#46; Orpana"
                            3 => "B&#46;I&#46; Graubard"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1001/jama.2012.113905"
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                        "tituloSerie" => "JAMA&#46;"
                        "fecha" => "2013"
                        "volumen" => "309"
                        "paginaInicial" => "71"
                        "paginaFinal" => "82"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23280227"
                            "web" => "Medline"
                          ]
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                      ]
                    ]
                  ]
                ]
              ]
            ]
            40 => array:3 [
              "identificador" => "bib0430"
              "etiqueta" => "41"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "AACE Obesity Scientific Committee American Association of Clinical Endocrinologists and American College of Endocrinology position statement on the 2014 advanced framework for a new diagnosis of obesity as a chronic disease"
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                          "etal" => true
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                            1 => "A&#46;J&#46; Garber"
                            2 => "J&#46;I&#46; Mechanick"
                            3 => "G&#46;A&#46; Bray"
                            4 => "S&#46; Dagogo-Jack"
                            5 => "D&#46; Einhorn"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.4158/EP14280.PS"
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                        "tituloSerie" => "Endocr Pract&#46;"
                        "fecha" => "2014"
                        "volumen" => "20"
                        "paginaInicial" => "977"
                        "paginaFinal" => "989"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25253227"
                            "web" => "Medline"
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                  ]
                ]
              ]
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            41 => array:3 [
              "identificador" => "bib0435"
              "etiqueta" => "42"
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                      "titulo" => "Prevenci&#243;n&#44; diagn&#243;stico y tratamiento de la obesidad Posicionamiento de la Sociedad Espa&#241;ola para el Estudio de la Obesidad de 2016"
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                            5 => "J&#46; Salvador"
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                      ]
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                    0 => array:2 [
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                        "volumen" => "64"
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                      "titulo" => "Prevalencia de hipertrigliceridemia en adultos y factores cardiometab&#243;licos asociados&#46; Estudio SIMETAP-HTG"
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                            5 => "G&#46;M&#46; D&#225;vila Bl&#225;zquez"
                          ]
                        ]
                      ]
                    ]
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32534728"
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                        "paginaInicial" => "19"
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                          0 => array:2 [
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                            "web" => "Medline"
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        "texto" => "<p id="par0195" class="elsevierStylePara elsevierViewall">Se agradece la colaboraci&#243;n prestada por los siguientes m&#233;dicos que han participado en el Grupo de Investigaci&#243;n del Estudio SIMETAP&#58; Abad Schilling C&#44; Adri&#225;n Sanz M&#44; Aguilera Reija P&#44; Alcaraz Bethencourt A&#44; Alonso Roca R&#44; &#193;lvarez Benedicto R&#44; Arranz Mart&#237;nez E&#44; Arribas &#193;lvaro P&#44; Baltuille Aller MC&#44; Barrios Rueda E&#44; Benito Alonso E&#44; Berbil Bautista ML&#44; Blanco Canseco JM&#44; Caballero Ram&#237;rez N&#44; Cabello Igual P&#44; Cabrera V&#233;lez R&#44; Calder&#237;n Morales MP&#44; Capit&#225;n Caldas M&#44; Casaseca Calvo TF&#44; Cique Herr&#225;inz JA&#44; Ciria de Pablo C&#44; Chao Escuer P&#44; D&#225;vila Bl&#225;zquez G&#44; de la Pe&#241;a Ant&#243;n N&#44; de Prado Prieto L&#44; del Villar Redondo MJ&#44; Delgado Rodr&#237;guez S&#44; D&#237;ez P&#233;rez MC&#44; Dur&#225;n Tejada MR&#44; Escamilla Guijarro N&#44; Escriv&#225; Ferrair&#243; RA&#44; Fern&#225;ndez Vicente T&#44; Fern&#225;ndez-Pacheco Vila D&#44; Fr&#237;as Vargas MJ&#44; Garc&#237;a &#193;lvarez JC&#44; Garc&#237;a Fern&#225;ndez ME&#44; Garc&#237;a Garc&#237;a Alca&#241;iz MP&#44; Garc&#237;a Granado MD&#44; Garc&#237;a Pliego RA&#44; Garc&#237;a Redondo MR&#44; Garc&#237;a Villasur MP&#44; G&#243;mez D&#237;az E&#44; G&#243;mez Fern&#225;ndez O&#44; Gonz&#225;lez Escobar P&#44; Gonz&#225;lez-Posada Delgado JA&#44; Guti&#233;rrez S&#225;nchez I&#44; Hern&#225;ndez Beltr&#225;n MI&#44; Hern&#225;ndez de Luna MC&#44; Hern&#225;ndez L&#243;pez RM&#44; Hidalgo Calleja Y&#44; Holgado Catal&#225;n MS&#44; Hombrados Gonzalo MP&#44; Hueso Quesada R&#44; Ibarra S&#225;nchez AM&#44; Iglesias Quintana JR&#44; &#205;scar Valenzuela I&#44; Iturmendi Mart&#237;nez N&#44; Javierre Miranda AP&#44; L&#243;pez Uriarte B&#44; Lorenzo Borda MS&#44; Luna Ram&#237;rez S&#44; Macho del Barrio AI&#44; Mag&#225;n Tapia P&#44; Mara&#241;&#243;n Henrich N&#44; Mari&#241;o Su&#225;rez JE&#44; Mart&#237;n Calle MC&#44; Mart&#237;n Fern&#225;ndez AI&#44; Mart&#237;nez Cid de Rivera E&#44; Mart&#237;nez Irazusta J&#44; Miguel&#225;&#241;ez Valero A&#44; Minguela Puras ME&#44; Montero Costa A&#44; Mora Casado C&#44; Morales Cobos LE&#44; Morales Chico MR&#44; Moreno Fern&#225;ndez JC&#44; Moreno Mu&#241;oz MS&#44; Palacios Mart&#237;nez D&#44; Pascual Val T&#44; P&#233;rez Fern&#225;ndez M&#44; P&#233;rez Mu&#241;oz R&#44; Plata Barajas MT&#44; Pleite Raposo R&#44; Prieto Marcos M&#44; Quintana G&#243;mez JL&#44; Redondo de Pedro S&#44; Redondo S&#225;nchez M&#44; Reguillo D&#237;az J&#44; Rem&#243;n P&#233;rez B&#44; Revilla Pascual E&#44; Rey L&#243;pez AM&#44; Ribot Catal&#225; C&#44; Rico P&#233;rez MR&#44; Rivera Teijido M&#44; Rodr&#237;guez Cabanillas R&#44; Rodr&#237;guez de Coss&#237;o A&#44; Rodr&#237;guez de Mingo E&#44; Rodr&#237;guez Rodr&#237;guez AO&#44; Rosillo Gonz&#225;lez A&#44; Rubio Villar M&#44; Ruiz D&#237;az L&#44; Ruiz Garc&#237;a A&#44; S&#225;nchez Calso A&#44; S&#225;nchez Herr&#225;iz M&#44; S&#225;nchez Ramos MC&#44; Sanchidri&#225;n Fern&#225;ndez PL&#44; Sand&#237;n de Vega E&#44; Sanz Pozo B&#44; Sanz Velasco C&#44; Sarri&#225; S&#225;nchez MT&#44; Simonaggio Stancampiano P&#44; Tello Meco I&#44; Vargas-Machuca Caba&#241;ero C&#44; Velazco Zumarr&#225;n JL&#44; Vieira Pascual MC&#44; Zafra Urango C&#44; Zamora G&#243;mez MM&#44; Zarzuelo Mart&#237;n N&#46;</p>"
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Información del artículo
ISSN: 02149168
Idioma original: Español
DOI:10.1016/j.arteri.2021.12.002
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