Continuous glucose monitoring in acute coronary syndrome | Archivos de Cardiología de México

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(A) Entrainment mapping is performed first at the cavo-tricuspid isthmus (CTI). Note manifest fusion and a long return cycle (416) in comparison with tachycardia cycle (282). (B) Entrainment mapping at the right lateral wall, between the scars. Observe concealed fusion and a return cycle equal to tachycardia cycle length." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Santiago Nava, Pedro Iturralde-Torres, Manlio F. Márquez, Jorge Gómez-Flores, Bernardo Cline, Luis Colin-Lizalde, Diana Victoria, Antonio G. Hermosillo" "autores" => array:8 [ 0 => array:2 [ "nombre" => "Santiago" "apellidos" => "Nava" ] 1 => array:2 [ "nombre" => "Pedro" "apellidos" => "Iturralde-Torres" ] 2 => array:2 [ "nombre" => "Manlio F." 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Madero s/n Colonia Mitras Centro Monterrey, Nuevo León 64460, Mexico. Tel.: +52 83487871; fax: +52 83487871." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Monitoreo continuo de glucosa en pacientes con síndrome coronario agudo" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 422 "Ancho" => 1000 "Tamanyo" => 60708 ] ] "descripcion" => array:1 [ "en" => "Continuous glucose monitoring system Medtronic Guardian® RT." ] ] ] "textoCompleto" => "IntroductionThe worldwide prevalence of type 2 diabetes mellitus is 6% (246 million individuals).<a class="elsevierStyleCrossRef" href="#bib0005">1</a> According to the National Health Survey (ENSANUT 2006), the prevalence in Mexico is 14.4%, with this disease being the leading cause of death (11.2%).<a class="elsevierStyleCrossRef" href="#bib0010">2</a> Diabetes mellitus (DM) is an independent risk factor for cardiovascular disease, due to the chronic inflammatory state induced by high glucose levels and their variability. The presence of DM or hyperglycemia in patients with ischemic heart disease increases mortality by 50% per year, and causes a higher rate of re-infarction and poor response to therapeutic measures.<a class="elsevierStyleCrossRef" href="#bib0015">3</a> More than 50% of patients with their first acute coronary syndrome have glucose intolerance or undiagnosed DM, which are factors of poor outcome in the short and long term.<a class="elsevierStyleCrossRef" href="#bib0020">4</a>The standardized methods of glucose control that are used are capillary glucose monitoring and venous glucose monitoring<a class="elsevierStyleCrossRef" href="#bib0025">5</a>; which provide, respectively, an accurate information to be obtained directly from the sample capillary and venous blood, also, frequent self-monitoring blood glucose (SMBG) has been correlated with an improvement of metabolic control, but the optimal number of measurements of SMBG is not defined<a class="elsevierStyleCrossRef" href="#bib0030">6</a>; by the above, a real-time method that permits assessment of glucose variability in the acute coronary setting is needed to achieve proper glucose control.Continuous glucose monitoring provides information about direction, duration, frequency and causes of variability glucose changes; in contrast to blood glucose self-monitoring that corresponds to three measurements of capillary glucose each day, continuous glucose monitoring gives greater knowledge about “all day” glucose levels. Continuous readings provide information about glucose tendency and could help to identify and prevent hypoglycemic events.<a class="elsevierStyleCrossRefs" href="#bib0035">7,8</a> One of the advantages of continuous glucose monitoring is its ability to predict future glucose levels, this cannot be done with blood glucose self-monitoring<a class="elsevierStyleCrossRef" href="#bib0045">9</a>; however, there are several difficulties with continuous glucose monitoring, as an increase in the number of insulin adjustments per day, requirement of a trained operator and calibration every 12h, which could make it less practical for in-hospital use. Several continuous glucose monitoring devices have been approved by FDA (Food and Drug Administration) for use in the United States and Europe, minimally invasive through continuous interstitial measurement involving cutaneous barrier and without puncturing a blood vessel, or with a non-invasive method through electromagnetic radiation from the skin to blood vessels. After 2h of time synchronization and specific calibration process, each sensor can provide a glucose reading every 1–10min for a 72h period. Some models have an alarm that activates if glucose levels get out of normal levels.<a class="elsevierStyleCrossRefs" href="#bib0050">10–13</a> Considering the existence of different methods of glucose monitoring and the lack of consensus about their usefulness in glycemic control of inpatients, our goal is to determine if continuous glucose monitoring devices are more effective than capillary glucose monitoring for achieving normoglycemia in patients with acute coronary syndrome in addition to preventing episodes of hypoglycemia due to the default alarms of hyper and hypoglycemia.MethodsThis is a pilot, non-randomized, unblinded clinical trial evaluating if continuous glucose monitoring devices are more effective than capillary glucose monitoring for achieving normoglycemia in patients with acute coronary syndrome. Patients’ 20–70 years of age were enrolled if they were admitted to the emergency department of the Dr. José Eleuterio González University Hospital from January 1, 2010 to July 31, 2011 with a diagnosis of acute coronary syndrome with or without ST elevation, a blood or capillary glucose level greater than 140mg/dl, and with or without a prior history of acute coronary syndrome. Exclusion criteria included patients in cardiogenic shock with or without the use of vasopressors, acute renal failure and/or a calculated creatinine clearance less than 60ml/min according to the Crockoft–Gault formula,<a class="elsevierStyleCrossRef" href="#bib0070">14</a> an admission diagnosis of diabetic ketoacidosis or a hyperglycemic hyperosmolar state, and patients with alcohol withdrawal syndrome, chronic liver disease, cellulitis and/or herpes at the device site placement or those unable to provide informed consent. Acute coronary syndrome,<a class="elsevierStyleCrossRef" href="#bib0075">15</a> hypoglycemia, and diabetes mellitus were defined according to current clinical guidelines.<a class="elsevierStyleCrossRef" href="#bib0080">16</a>The study complies with the Declaration of Helsinki and was approved by the Ethics Committee of the Universidad Autónoma de Nuevo León Medical School and Dr. José Eleuterio González University Hospital with registration number 09-025. All patients provided written informed consent.Patients were started on a continuous intravenous infusion of fast acting insulin titrated according to the Yale protocol.<a class="elsevierStyleCrossRef" href="#bib0085">17</a> On admission patients were randomized into two groups, the conventional group, in whom measurement and recording of capillary glucose was performed every 4h, and the intervention group, in whom a Medtronic Guardian® RT device was inserted subcutaneously in the lower abdomen 2 inches from the umbilicus.<a class="elsevierStyleCrossRef" href="#bib0090">18</a> Five minutes after electrode (sensor) insertion, the MiniLink REAL-time transmitter was connected to the sensor, allowing the electrode to have contact with interstitial fluid. The monitor was placed at the bedside of the patient and data were received every 5min through the transmitter. Two hours after the initialization time, a nurse was instructed to perform capillary glucose and insert the value into the continuous monitoring Medtronic Guardian® RT (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>) for the first calibration.<a class="elsevierStyleCrossRef" href="#bib0095">19</a><elsevierMultimedia ident="fig0005"></elsevierMultimedia>All patients were monitored for 48h. Decisions on dose adjustment of the insulin infusion were made based on the Yale protocol; every 4h for the conventional group, and every hour for the intervention group with a glucose goal equal or less than 140mg/dl. If a hypoglycemia or hyperglycemia alarm occurred in the intervention group, the glucose value was confirmed with a capillary glucose reading and action was taken as suggested by the Yale insulin infusion protocol. Each glucose value and insulin dose was recorded on control sheets. Capillary glucose measurement was made with an Accu-Check Inform® Roche glucometer. Venous glucose readings and measurements were made every 8h for both groups and capillary glucose measurement every 12h in the intervention group for Guardian RealTime® device calibration. During monitoring, we conducted a lifestyle and prior history survey and all patients received a 25kcal/kg/day diet. A lipid profile, glycosylated hemoglobin, anthropometry, blood pressure measurements, creatinine level, and glomerular filtration rate to estimate kidney function, were performed. After discharge, each patient was followed by telephone after 30 days to assess the occurrence of complications, re-admission for acute coronary syndrome, cerebral vascular disease, arrhythmias and/or death.The primary endpoints of the study were the time (hours) for achieving normoglycemia by group, the period of time that they remained in normoglycemia, and the presence of episodes of hypoglycemia. For study purposes normoglycemia was defined as a value less than 140mg/dl; hypoglycemia was defined by the presence of symptoms associated with hipoglycemia and capillary glucose value equal to or less than 70mg/dl according to current clinical guidelines.<a class="elsevierStyleCrossRef" href="#bib0080">16</a>Secondary endpoints included were the day 1 to day 2 glucose difference, and the number of insulin dose adjustments per day between both groups and their difference.Statistical analysis was performed using SPSS version 18.0. We compared the value distribution in both groups using the Kolmogorov test. Mean differences were determined in both groups with Student's t-test for independent samples; for qualitative variables, contingency tables were applied to X2 test. For analysis of variables within the same group an analysis of variance was used. All probability values reported are two-sided, and a value of P<0.05 was considered significant.ResultsNineteen patients participated in the study, three were eliminated, one due to electrode failure, and two more for not completing the requirements. The study algorithm is shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>. A population of 16 patients was randomized into two groups of eight patients each. The data distribution was normal according with Kolmogorov test. The demographic characteristics of the population, with means and standard deviations are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. In the control group, there were six men (75%) and two women (25%), whereas in the intervention group there were seven men (87.5%) and one woman (22.5%). Mean age was 55.2 years for the conventional group, and 54 years for the intervention group. We observed a statistically significant difference for dyslipidemia in both groups, with a P value of 0.002<elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia>The anthropometric and clinical variables are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. We observed a statistically significant difference between groups in total cholesterol values, with a P value of 0.02, with a similar behavior for low-density cholesterol values, with a P=0.01.<elsevierMultimedia ident="tbl0010"></elsevierMultimedia>The values of glucose monitoring after performing data analysis are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>, results were statistically significant in the mean time for achieving normoglycemia between groups, with a P value of 0.02. For variables that were analyzed in the same group (day 1 to day 2 glucose difference, insulin dose difference from day 1 to day 2, and total number of insulin doses adjustments from day 1 to day 2), we obtained significant differences in relation to day 1 to day 2 glucose in the intervention group with a P value of 0.07. With regard to the total number of insulin dose adjustments from day 1 to day 2, we observed a significant difference in the conventional group with a P value of 0.03. Only one event of hypoglycemia occurred in the conventional group.<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>Discharge diagnoses, treatment employed, risk stratification obtained according to the UKPDS risk Engine calculator v2.0<a class="elsevierStyleCrossRef" href="#bib0100">20</a> as well as complications and mortality showed no statistically significant differences between groups, and are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>.<elsevierMultimedia ident="tbl0020"></elsevierMultimedia>DiscussionOur study shows that continuous glucose monitoring devices were not superior to capillary glucose monitoring for improving the time to achieve normoglycemia and the time that the patient remains there. Despite this, patients with continuous glucose monitoring devices were more stable, as demonstrated by the mean glucose levels on day 1 and day 2. In addition, all patients in the interventional group reached levels of normoglycemia in comparison with the conventional group indicating that continuous glucose monitoring allows identification of more regular glucose values with minimum variability. Continuous glucose monitoring in hospitalized patients could be a tool to prevent hypoglycemic episodes, a fact that was demonstrated in this study, as there were none in the intervention group.All studies that compare tight glucose control have been directed at evaluating capillary glucose monitoring in the intensive care unit at different time intervals with different target glucose levels and different effects on mortality.<a class="elsevierStyleCrossRef" href="#bib0105">21</a> The NICE-SUGAR study demonstrated a higher mortality in critically ill patients with intensive glucose control, mainly attributed to a higher number of severe hypoglycemic episodes<a class="elsevierStyleCrossRef" href="#bib0110">22</a>; however, a post hoc analysis of the DIGAMI-2 trial did not show an association between hypoglycemic episodes and adverse outcomes.<a class="elsevierStyleCrossRef" href="#bib0115">23</a>These findings make it necessary to expand efforts toward improved glycemic control in patients with acute coronary syndrome, since continuous glucose monitoring provides a real time information about glucose variability in comparison with capillary or venous glucose.The main strength of our study is that it is a comparative study of continuous glucose monitoring devices and conventional capillary glucose monitoring in patients with acute coronary syndrome. Existing studies have been conducted to study the accuracy of continuous monitoring devices in comparison with capillary measurements.<a class="elsevierStyleCrossRef" href="#bib0120">24</a> This study also considered the in-hospital use of this device and the technical difficulties that may arise with it. This study shows that there is a better glycemic control with continuous glucose monitoring, suggesting less glucose variability, gaining importance for clinical evolution and prognosis; however, more studies are needed with more patients to evaluate the effects of control on glucose variability and on prognosis and outcome of patients with acute coronary syndrome.On the other hand, our study has several limitations. It is a study with few patients, also it is an open and non-randomized study making it difficult to control all variables, obtaining wide difference in terms of some variables assessed, such as the time evolution of the DM, the presence of dyslipidemia or family history of acute coronary syndrome, glycated hemoglobin values, where there were differences that indicate a heterogeneity between groups, which is a common problem in non-randomized studies; the technical difficulties associated with using this technology should also be taken into account, which have been described in some studies; Jacobs and colleagues performed a study on the tolerability and precision of a device for continuous glucose monitoring in a rural intensive care unit, finding that despite being well tolerated by the patient, it was not very accurate for glycemic control in the context of diabetic ketoacidosis due to technical difficulties associated with calibration of the device and electrode performance.<a class="elsevierStyleCrossRef" href="#bib0050">10</a>Randomized clinical trials that include a greater number of patient are needed, aimed at comparing continuous glucose monitoring with conventional methods (capillary and venous glucose monitoring) and their effect on glycemic control, glucose variability, evolution and prognosis of critically ill patients, including those with acute coronary syndrome, to establish the best conditions for its in-hospital use.ConclusionFurther studies are necessary to determine the effectiveness of continuous glucose monitoring devices in hospitalized patients and to establish the most useful clinical scenarios for their use, since it is an effective way to obtain more realistic glucose control and prevent hypoglycemic episodes.FundingDid not receive any sponsorship to conduct this study.Conflict of interestThe author states have no conflicts of interest." "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:2 [ "identificador" => "xres298631" "titulo" => array:6 [ 0 => "Abstract" 1 => "Background" 2 => "Objective" 3 => "Methods" 4 => "Results" 5 => "Conclusion" ] ] 1 => array:2 [ "identificador" => "xpalclavsec281663" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres298632" "titulo" => array:6 [ 0 => "Resumen" 1 => "Antecedentes" 2 => "Objetivo" 3 => "Métodos" 4 => "Resultados" 5 => "Conclusión" ] ] 3 => array:2 [ "identificador" => "xpalclavsec281662" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflict of interest" ] 11 => array:2 [ "identificador" => "xack70415" "titulo" => "Acknowledgement" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2012-03-15" "fechaAceptado" => "2013-08-19" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec281663" "palabras" => array:6 [ 0 => "Glucose" 1 => "Blood monitoring glucose" 2 => "Capillary glucose" 3 => "Continuous glucose monitoring" 4 => "Acute coronary syndrome" 5 => "Mexico" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec281662" "palabras" => array:6 [ 0 => "Glucosa" 1 => "Glucosa sanguínea" 2 => "Glucosa capilar" 3 => "Monitoreo continuo de glucosa" 4 => "Síndrome coronario agudo" 5 => "México" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "BackgroundDiabetes mellitus is an independent risk factor for cardiovascular disease. ObjectiveTo compare the efficacy of devices for continuous glucose monitoring and capillary glucose monitoring in hospitalized patients with acute coronary syndrome using the following parameters: time to achieve normoglycemia, period of time in normoglycemia, and episodes of hypoglycemia. MethodsWe performed a pilot, non-randomized, unblinded clinical trial that included 16 patients with acute coronary artery syndrome, a capillary or venous blood glucose ≥140mg/dl, and treatment with a continuous infusion of fast acting human insulin. These patients were randomized into 2 groups: a conventional group, in which capillary measurement and recording as well as insulin adjustment were made every 4h, and an intervention group, in which measurement and recording as well as insulin adjustment were made every hour with a subcutaneous continuous monitoring system. Student's t-test was applied for mean differences and the X2 test for qualitative variables. ResultsWe observed a statistically significant difference in the mean time for achieving normoglycemia, favoring the conventional group with a P=0.02. ConclusionContinuous monitoring systems are as useful as capillary monitoring for achieving normoglycemia." ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "AntecedentesLa diabetes mellitus es un factor de riesgo independiente de enfermedad cardiovascular. ObjetivoComparar la eficacia de los dispositivos de monitorización continua de glucosa y monitorización de glucosa capilar en pacientes hospitalizados con síndrome coronario agudo, mediante los siguientes parámetros: tiempo en lograr normoglucemia, periodo en normoglucemia y número de hipoglucemias. MétodosEnsayo clínico no aleatorizado, no ciego, que incluyó a 16 pacientes con síndrome coronario agudo, glucosa capilar o venosa ≥140mg/dl, en tratamiento con infusión de insulina humana de acción rápida durante 48h. Se distribuyeron en 2 grupos: convencional, con medición y registro de glucosa capilar, y ajuste de insulina cada 4h, y de intervención, con medición y registro de glucosa intersticial y ajuste de insulina cada hora a través de un dispositivo de monitorización continua colocado vía subcutánea. Se aplicaron pruebas t para diferencia de medias y prueba de X2 para las variables cualitativas. ResultadosSe observó diferencia significativa en la media del tiempo para lograr normoglucemia a favor del grupo convencional, con un valor de p=0.02. ConclusiónLos dispositivos de monitorización continua de glucosa son tan útiles como la monitorización de glucosa capilar para lograr normoglucemia." ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 422 "Ancho" => 1000 "Tamanyo" => 60708 ] ] "descripcion" => array:1 [ "en" => "Continuous glucose monitoring system Medtronic Guardian® RT." ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1319 "Ancho" => 1632 "Tamanyo" => 178648 ] ] "descripcion" => array:1 [ "en" => "Study algorithm." ] ] 2 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "±Standard deviation." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Conventional group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Intervention group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><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">Men/women \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">6/2 \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">7/1 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Age (years) \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">55.2±10.7 \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">54±8.7 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.80 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus</td></tr><tr title="table-row"><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">Yes % (n) \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">62.5 (5) \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">75 (6) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Evolution time of diabetes mellitus (years) \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">11.8±5.4 \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">7.4±5.0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">High blood pressure % (n) \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">50 (4) \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">62.5 (5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.61 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Dyslipidemia% (n) \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">12.5 (1) \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">87.5 (7) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Ischemic coronary disease % (n) \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">37.5 (3) \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 (2) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Smoking habit % (n) \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">37.5 (3) \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">50 (4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.61 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Alcoholism% (n) \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 (2) \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">62.5 (5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.13 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Sedentarism% (n) \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">75 (6) \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">75 (6) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.51 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Obesity % (n) \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">37.5 (3) \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">50 (4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.61 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Familiar history of diabetes mellitus% (n) \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">62.5 (5) \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">75 (6) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Familiar history of ischemic coronary disease % (n) \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">12.5 (1) \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">50 (4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.10 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436966.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Demographic characteristics of the population." ] ] 3 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "BG, blood glucose; BMI, body mass index; BP, blood pressure; HDL, high density cholesterol; HgbA1c, glycosylated hemoglobin; LDL, low density cholesterol; MDRD, modification of diet on renal disease.±Standard deviation." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Conventional group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Intervention group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><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">Men/women \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">6/2 \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">7/1 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Weight (kg) \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">80.1±12.0 \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">82.3±14.9 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Height (m) \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">1.65±0.06 \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">1.65±0.04 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.96 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">BMIa (kg/m2) \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">28.2±4.4 \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">30.0±5.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Systolic BP (mmHg) \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">145±22.0 \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">140±18.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.63 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Dyastolic BP (mmHg) \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">88.1±8.4 \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">83.8±13.0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">HgbA1c<a class="elsevierStyleCrossRef" href="#tblfn0035">b</a> (%) \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">7.5±2.3 \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">8.5±2.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Triglyceride (mg/dl) \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">173.4±146.3 \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">264±220.8 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.35 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Total cholesterol (mg/dl) \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">147.3±37.6 \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">206.6±54.3 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">HDLd (mg/dl) \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">32.3±9.7 \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">36.5±9.0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">LDLe (mg/dl) \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">78.4±19.6 \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">135±52.0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Creatinine (mg/dl) \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">0.84±0.27 \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">0.82±0.24 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.91 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">MDRDc (ml/min/m2) \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">111.2±45.8 \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">120.9±43.7 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Basal BG (mg/dl) \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">220.1±57.9 \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">225.4±53.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.85 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Average of BG (mg/dl) \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">139.8±36.9 \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">165.7±48.7 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436964.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Anthropometric and clinical characteristics of population." ] ] 4 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "±Standard deviation." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Conventional group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Intervention group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><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">Glucose of day 1 (mg/dl) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">152.1±39.74 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">146.2±26.12 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.73 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Glucose of day 2 (mg/dl) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">151.7±43.94 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">131.1±11.51 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Day 1 to day 2 glucose difference (P) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.86 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.07 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Day 1 Insulin doses (IU)<a class="elsevierStyleCrossRef" href="#tblfn0025">a</a> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2±1.17 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.4±2.22 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Day 2 Insulin doses (IU)<a class="elsevierStyleCrossRef" href="#tblfn0025">a</a> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.4±1.89 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.8±3.55 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.36 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Insulin dose difference, day 1 to day 2 (P) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.36 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Day 1 Insulin adjustments \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.6±1.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.8±2.7 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Day 2 Insulin adjustments \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.6±1.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5±2.6 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Total number of Insulin dose adjustments, day 1 to day 2 (P) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.21 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Patients in normoglycemia % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">87.5 (7) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 (8) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Time to reach normoglycemia (h) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.7±3.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13±7 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Time in normoglycemia (h) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.4±18.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.5±14.8 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.49 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Total number of hypoglycemia episodes \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436965.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "a" "nota" => "International units." ] ] ] "descripcion" => array:1 [ "en" => "Results of self-blood glucose monitoring vs. continuous glucose monitoring." ] ] 5 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Conventional group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Intervention group (n=8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">P \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Discharge diagnosis</td></tr><tr title="table-row"><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">STEMI % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.5 (3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.5 (5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Non-STEMI % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (2) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (2) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Unstable angina % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.5 (3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.5 (1) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Treatment</td></tr><tr title="table-row"><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">Coronary angioplasty % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.5 (3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.5 (3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Thrombolysis % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.5 (1) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.5 (1) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Optimal medical therapy % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 (4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 (4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Intrahospital cardiovascular complications<a class="elsevierStyleCrossRef" href="#tblfn0030">a</a> % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.5 (1) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.30 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Cardiovascular events 30 days after discharge<a class="elsevierStyleCrossRef" href="#tblfn0030">a</a> % (n) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (2) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.13 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">UKPDS CHD score %<a class="elsevierStyleCrossRef" href="#tblfn0035">b</a> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.1±18.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.5±9.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.64 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">UKPDS fatal CHD score %<a class="elsevierStyleCrossRef" href="#tblfn0035">b</a> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.6±16.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.7±7.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.98 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436963.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0030" "etiqueta" => "a" "nota" 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Clinical Research

Continuous glucose monitoring in acute coronary syndrome

Monitoreo continuo de glucosa en pacientes con síndrome coronario agudo

Karina Alejandra Rodríguez-Quintanillab,

Corresponding author

karinamed07@hotmail.com

Corresponding author at: Calle Francisco I. Madero s/n Colonia Mitras Centro Monterrey, Nuevo León 64460, Mexico. Tel.: +52 83487871; fax: +52 83487871.

, Fernando Javier Lavalle-Gonzáleza,b, Leonardo Guadalupe Mancillas-Adamea,b, Alfonso Javier Zapata-Garridoa,b, Jesús Zacarías Villarreal-Péreza,b, Héctor Eloy Tamez-Péreza,b

a Servicio de Endocrinología, Departamento de Medicina Interna, Hospital Universitario Dr. José Eleuterio González, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico

b Departamento de Medicina Interna, Hospital Universitario Dr. José Eleuterio González, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico

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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The worldwide prevalence of type 2 diabetes mellitus is 6&#37; &#40;246 million individuals&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> According to the National Health Survey &#40;ENSANUT 2006&#41;&#44; the prevalence in Mexico is 14&#46;4&#37;&#44; with this disease being the leading cause of death &#40;11&#46;2&#37;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> Diabetes mellitus &#40;DM&#41; is an independent risk factor for cardiovascular disease&#44; due to the chronic inflammatory state induced by high glucose levels and their variability&#46; The presence of DM or hyperglycemia in patients with ischemic heart disease increases mortality by 50&#37; per year&#44; and causes a higher rate of re-infarction and poor response to therapeutic measures&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> More than 50&#37; of patients with their first acute coronary syndrome have glucose intolerance or undiagnosed DM&#44; which are factors of poor outcome in the short and long term&#46;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The standardized methods of glucose control that are used are capillary glucose monitoring and venous glucose monitoring<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a>&#59; which provide&#44; respectively&#44; an accurate information to be obtained directly from the sample capillary and venous blood&#44; also&#44; frequent self-monitoring blood glucose &#40;SMBG&#41; has been correlated with an improvement of metabolic control&#44; but the optimal number of measurements of SMBG is not defined<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a>&#59; by the above&#44; a real-time method that permits assessment of glucose variability in the acute coronary setting is needed to achieve proper glucose control&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Continuous glucose monitoring provides information about direction&#44; duration&#44; frequency and causes of variability glucose changes&#59; in contrast to blood glucose self-monitoring that corresponds to three measurements of capillary glucose each day&#44; continuous glucose monitoring gives greater knowledge about &#8220;all day&#8221; glucose levels&#46; Continuous readings provide information about glucose tendency and could help to identify and prevent hypoglycemic events&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;8</span></a> One of the advantages of continuous glucose monitoring is its ability to predict future glucose levels&#44; this cannot be done with blood glucose self-monitoring<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>&#59; however&#44; there are several difficulties with continuous glucose monitoring&#44; as an increase in the number of insulin adjustments per day&#44; requirement of a trained operator and calibration every 12<span class="elsevierStyleHsp" style=""></span>h&#44; which could make it less practical for in-hospital use&#46; Several continuous glucose monitoring devices have been approved by FDA &#40;Food and Drug Administration&#41; for use in the United States and Europe&#44; minimally invasive through continuous interstitial measurement involving cutaneous barrier and without puncturing a blood vessel&#44; or with a non-invasive method through electromagnetic radiation from the skin to blood vessels&#46; After 2<span class="elsevierStyleHsp" style=""></span>h of time synchronization and specific calibration process&#44; each sensor can provide a glucose reading every 1&#8211;10<span class="elsevierStyleHsp" style=""></span>min for a 72<span class="elsevierStyleHsp" style=""></span>h period&#46; Some models have an alarm that activates if glucose levels get out of normal levels&#46;<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#8211;13</span></a> Considering the existence of different methods of glucose monitoring and the lack of consensus about their usefulness in glycemic control of inpatients&#44; our goal is to determine if continuous glucose monitoring devices are more effective than capillary glucose monitoring for achieving normoglycemia in patients with acute coronary syndrome in addition to preventing episodes of hypoglycemia due to the default alarms of hyper and hypoglycemia&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Methods</span><p id="par0020" class="elsevierStylePara elsevierViewall">This is a pilot&#44; non-randomized&#44; unblinded clinical trial evaluating if continuous glucose monitoring devices are more effective than capillary glucose monitoring for achieving normoglycemia in patients with acute coronary syndrome&#46; Patients&#8217; 20&#8211;70 years of age were enrolled if they were admitted to the emergency department of the Dr&#46; Jos&#233; Eleuterio Gonz&#225;lez University Hospital from January 1&#44; 2010 to July 31&#44; 2011 with a diagnosis of acute coronary syndrome with or without ST elevation&#44; a blood or capillary glucose level greater than 140<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; and with or without a prior history of acute coronary syndrome&#46; Exclusion criteria included patients in cardiogenic shock with or without the use of vasopressors&#44; acute renal failure and&#47;or a calculated creatinine clearance less than 60<span class="elsevierStyleHsp" style=""></span>ml&#47;min according to the Crockoft&#8211;Gault formula&#44;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> an admission diagnosis of diabetic ketoacidosis or a hyperglycemic hyperosmolar state&#44; and patients with alcohol withdrawal syndrome&#44; chronic liver disease&#44; cellulitis and&#47;or herpes at the device site placement or those unable to provide informed consent&#46; Acute coronary syndrome&#44;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> hypoglycemia&#44; and diabetes mellitus were defined according to current clinical guidelines&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The study complies with the Declaration of Helsinki and was approved by the Ethics Committee of the Universidad Aut&#243;noma de Nuevo Le&#243;n Medical School and Dr&#46; Jos&#233; Eleuterio Gonz&#225;lez University Hospital with registration number 09-025&#46; All patients provided written informed consent&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Patients were started on a continuous intravenous infusion of fast acting insulin titrated according to the Yale protocol&#46;<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> On admission patients were randomized into two groups&#44; the conventional group&#44; in whom measurement and recording of capillary glucose was performed every 4<span class="elsevierStyleHsp" style=""></span>h&#44; and the intervention group&#44; in whom a Medtronic Guardian<span class="elsevierStyleSup">&#174;</span> RT device was inserted subcutaneously in the lower abdomen 2 inches from the umbilicus&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> Five minutes after electrode &#40;sensor&#41; insertion&#44; the MiniLink REAL-time transmitter was connected to the sensor&#44; allowing the electrode to have contact with interstitial fluid&#46; The monitor was placed at the bedside of the patient and data were received every 5<span class="elsevierStyleHsp" style=""></span>min through the transmitter&#46; Two hours after the initialization time&#44; a nurse was instructed to perform capillary glucose and insert the value into the continuous monitoring Medtronic Guardian<span class="elsevierStyleSup">&#174;</span> RT &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41; for the first calibration&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a></p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0035" class="elsevierStylePara elsevierViewall">All patients were monitored for 48<span class="elsevierStyleHsp" style=""></span>h&#46; Decisions on dose adjustment of the insulin infusion were made based on the Yale protocol&#59; every 4<span class="elsevierStyleHsp" style=""></span>h for the conventional group&#44; and every hour for the intervention group with a glucose goal equal or less than 140<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; If a hypoglycemia or hyperglycemia alarm occurred in the intervention group&#44; the glucose value was confirmed with a capillary glucose reading and action was taken as suggested by the Yale insulin infusion protocol&#46; Each glucose value and insulin dose was recorded on control sheets&#46; Capillary glucose measurement was made with an Accu-Check Inform<span class="elsevierStyleSup">&#174;</span> Roche glucometer&#46; Venous glucose readings and measurements were made every 8<span class="elsevierStyleHsp" style=""></span>h for both groups and capillary glucose measurement every 12<span class="elsevierStyleHsp" style=""></span>h in the intervention group for Guardian RealTime<span class="elsevierStyleSup">&#174;</span> device calibration&#46; During monitoring&#44; we conducted a lifestyle and prior history survey and all patients received a 25<span class="elsevierStyleHsp" style=""></span>kcal&#47;kg&#47;day diet&#46; A lipid profile&#44; glycosylated hemoglobin&#44; anthropometry&#44; blood pressure measurements&#44; creatinine level&#44; and glomerular filtration rate to estimate kidney function&#44; were performed&#46; After discharge&#44; each patient was followed by telephone after 30 days to assess the occurrence of complications&#44; re-admission for acute coronary syndrome&#44; cerebral vascular disease&#44; arrhythmias and&#47;or death&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The primary endpoints of the study were the time &#40;hours&#41; for achieving normoglycemia by group&#44; the period of time that they remained in normoglycemia&#44; and the presence of episodes of hypoglycemia&#46; For study purposes normoglycemia was defined as a value less than 140<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; hypoglycemia was defined by the presence of symptoms associated with hipoglycemia and capillary glucose value equal to or less than 70<span class="elsevierStyleHsp" style=""></span>mg&#47;dl according to current clinical guidelines&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">Secondary endpoints included were the day 1 to day 2 glucose difference&#44; and the number of insulin dose adjustments per day between both groups and their difference&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Statistical analysis was performed using SPSS version 18&#46;0&#46; We compared the value distribution in both groups using the Kolmogorov test&#46; Mean differences were determined in both groups with Student&#39;s <span class="elsevierStyleItalic">t</span>-test for independent samples&#59; for qualitative variables&#44; contingency tables were applied to <span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> test&#46; For analysis of variables within the same group an analysis of variance was used&#46; All probability values reported are two-sided&#44; and a value of <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered significant&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Results</span><p id="par0055" class="elsevierStylePara elsevierViewall">Nineteen patients participated in the study&#44; three were eliminated&#44; one due to electrode failure&#44; and two more for not completing the requirements&#46; The study algorithm is shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#46; A population of 16 patients was randomized into two groups of eight patients each&#46; The data distribution was normal according with Kolmogorov test&#46; The demographic characteristics of the population&#44; with means and standard deviations are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; In the control group&#44; there were six men &#40;75&#37;&#41; and two women &#40;25&#37;&#41;&#44; whereas in the intervention group there were seven men &#40;87&#46;5&#37;&#41; and one woman &#40;22&#46;5&#37;&#41;&#46; Mean age was 55&#46;2 years for the conventional group&#44; and 54 years for the intervention group&#46; We observed a statistically significant difference for dyslipidemia in both groups&#44; with a <span class="elsevierStyleItalic">P</span> value of 0&#46;002</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">The anthropometric and clinical variables are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; We observed a statistically significant difference between groups in total cholesterol values&#44; with a <span class="elsevierStyleItalic">P</span> value of 0&#46;02&#44; with a similar behavior for low-density cholesterol values&#44; with a <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">The values of glucose monitoring after performing data analysis are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#44; results were statistically significant in the mean time for achieving normoglycemia between groups&#44; with a <span class="elsevierStyleItalic">P</span> value of 0&#46;02&#46; For variables that were analyzed in the same group &#40;day 1 to day 2 glucose difference&#44; insulin dose difference from day 1 to day 2&#44; and total number of insulin doses adjustments from day 1 to day 2&#41;&#44; we obtained significant differences in relation to day 1 to day 2 glucose in the intervention group with a <span class="elsevierStyleItalic">P</span> value of 0&#46;07&#46; With regard to the total number of insulin dose adjustments from day 1 to day 2&#44; we observed a significant difference in the conventional group with a <span class="elsevierStyleItalic">P</span> value of 0&#46;03&#46; Only one event of hypoglycemia occurred in the conventional group&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">Discharge diagnoses&#44; treatment employed&#44; risk stratification obtained according to the UKPDS risk Engine calculator v2&#46;0<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> as well as complications and mortality showed no statistically significant differences between groups&#44; and are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">Our study shows that continuous glucose monitoring devices were not superior to capillary glucose monitoring for improving the time to achieve normoglycemia and the time that the patient remains there&#46; Despite this&#44; patients with continuous glucose monitoring devices were more stable&#44; as demonstrated by the mean glucose levels on day 1 and day 2&#46; In addition&#44; all patients in the interventional group reached levels of normoglycemia in comparison with the conventional group indicating that continuous glucose monitoring allows identification of more regular glucose values with minimum variability&#46; Continuous glucose monitoring in hospitalized patients could be a tool to prevent hypoglycemic episodes&#44; a fact that was demonstrated in this study&#44; as there were none in the intervention group&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">All studies that compare tight glucose control have been directed at evaluating capillary glucose monitoring in the intensive care unit at different time intervals with different target glucose levels and different effects on mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> The NICE-SUGAR study demonstrated a higher mortality in critically ill patients with intensive glucose control&#44; mainly attributed to a higher number of severe hypoglycemic episodes<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a>&#59; however&#44; a post hoc analysis of the DIGAMI-2 trial did not show an association between hypoglycemic episodes and adverse outcomes&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">These findings make it necessary to expand efforts toward improved glycemic control in patients with acute coronary syndrome&#44; since continuous glucose monitoring provides a real time information about glucose variability in comparison with capillary or venous glucose&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">The main strength of our study is that it is a comparative study of continuous glucose monitoring devices and conventional capillary glucose monitoring in patients with acute coronary syndrome&#46; Existing studies have been conducted to study the accuracy of continuous monitoring devices in comparison with capillary measurements&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a> This study also considered the in-hospital use of this device and the technical difficulties that may arise with it&#46; This study shows that there is a better glycemic control with continuous glucose monitoring&#44; suggesting less glucose variability&#44; gaining importance for clinical evolution and prognosis&#59; however&#44; more studies are needed with more patients to evaluate the effects of control on glucose variability and on prognosis and outcome of patients with acute coronary syndrome&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">On the other hand&#44; our study has several limitations&#46; It is a study with few patients&#44; also it is an open and non-randomized study making it difficult to control all variables&#44; obtaining wide difference in terms of some variables assessed&#44; such as the time evolution of the DM&#44; the presence of dyslipidemia or family history of acute coronary syndrome&#44; glycated hemoglobin values&#44; where there were differences that indicate a heterogeneity between groups&#44; which is a common problem in non-randomized studies&#59; the technical difficulties associated with using this technology should also be taken into account&#44; which have been described in some studies&#59; Jacobs and colleagues performed a study on the tolerability and precision of a device for continuous glucose monitoring in a rural intensive care unit&#44; finding that despite being well tolerated by the patient&#44; it was not very accurate for glycemic control in the context of diabetic ketoacidosis due to technical difficulties associated with calibration of the device and electrode performance&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">Randomized clinical trials that include a greater number of patient are needed&#44; aimed at comparing continuous glucose monitoring with conventional methods &#40;capillary and venous glucose monitoring&#41; and their effect on glycemic control&#44; glucose variability&#44; evolution and prognosis of critically ill patients&#44; including those with acute coronary syndrome&#44; to establish the best conditions for its in-hospital use&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conclusion</span><p id="par0105" class="elsevierStylePara elsevierViewall">Further studies are necessary to determine the effectiveness of continuous glucose monitoring devices in hospitalized patients and to establish the most useful clinical scenarios for their use&#44; since it is an effective way to obtain more realistic glucose control and prevent hypoglycemic episodes&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Funding</span><p id="par0110" class="elsevierStylePara elsevierViewall">Did not receive any sponsorship to conduct this study&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflict of interest</span><p id="par0115" class="elsevierStylePara elsevierViewall">The author states have no conflicts of interest&#46;</p></span></span>"
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            0 => "Glucose"
            1 => "Blood monitoring glucose"
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            0 => "Glucosa"
            1 => "Glucosa sangu&#237;nea"
            2 => "Glucosa capilar"
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        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Diabetes mellitus is an independent risk factor for cardiovascular disease&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To compare the efficacy of devices for continuous glucose monitoring and capillary glucose monitoring in hospitalized patients with acute coronary syndrome using the following parameters&#58; time to achieve normoglycemia&#44; period of time in normoglycemia&#44; and episodes of hypoglycemia&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We performed a pilot&#44; non-randomized&#44; unblinded clinical trial that included 16 patients with acute coronary artery syndrome&#44; a capillary or venous blood glucose &#8805;140<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; and treatment with a continuous infusion of fast acting human insulin&#46; These patients were randomized into 2 groups&#58; a conventional group&#44; in which capillary measurement and recording as well as insulin adjustment were made every 4<span class="elsevierStyleHsp" style=""></span>h&#44; and an intervention group&#44; in which measurement and recording as well as insulin adjustment were made every hour with a subcutaneous continuous monitoring system&#46; Student&#39;s <span class="elsevierStyleItalic">t</span>-test was applied for mean differences and the <span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> test for qualitative variables&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">We observed a statistically significant difference in the mean time for achieving normoglycemia&#44; favoring the conventional group with a <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Continuous monitoring systems are as useful as capillary monitoring for achieving normoglycemia&#46;</p>"
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        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La diabetes mellitus es un factor de riesgo independiente de enfermedad cardiovascular&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Comparar la eficacia de los dispositivos de monitorizaci&#243;n continua de glucosa y monitorizaci&#243;n de glucosa capilar en pacientes hospitalizados con s&#237;ndrome coronario agudo&#44; mediante los siguientes par&#225;metros&#58; tiempo en lograr normoglucemia&#44; periodo en normoglucemia y n&#250;mero de hipoglucemias&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0050">M&#233;todos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Ensayo cl&#237;nico no aleatorizado&#44; no ciego&#44; que incluy&#243; a 16 pacientes con s&#237;ndrome coronario agudo&#44; glucosa capilar o venosa &#8805;<span class="elsevierStyleHsp" style=""></span>140<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; en tratamiento con infusi&#243;n de insulina humana de acci&#243;n r&#225;pida durante 48<span class="elsevierStyleHsp" style=""></span>h&#46; Se distribuyeron en 2 grupos&#58; convencional&#44; con medici&#243;n y registro de glucosa capilar&#44; y ajuste de insulina cada 4<span class="elsevierStyleHsp" style=""></span>h&#44; y de intervenci&#243;n&#44; con medici&#243;n y registro de glucosa intersticial y ajuste de insulina cada hora a trav&#233;s de un dispositivo de monitorizaci&#243;n continua colocado v&#237;a subcut&#225;nea&#46; Se aplicaron pruebas t para diferencia de medias y prueba de X<span class="elsevierStyleSup">2</span> para las variables cualitativas&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Se observ&#243; diferencia significativa en la media del tiempo para lograr normoglucemia a favor del grupo convencional&#44; con un valor de p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0060">Conclusi&#243;n</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Los dispositivos de monitorizaci&#243;n continua de glucosa son tan &#250;tiles como la monitorizaci&#243;n de glucosa capilar para lograr normoglucemia&#46;</p>"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">&#177;Standard deviation&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Conventional group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>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" style="border-bottom: 2px solid black">Intervention group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Men&#47;women&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">6&#47;2&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&#47;1&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">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t">Age &#40;years&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">55&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;7&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">54<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;7&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="char" valign="\n
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                  \t\t\t\t">0&#46;80&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " colspan="4" align="char" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Diabetes mellitus</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Yes &#37; &#40;<span class="elsevierStyleItalic">n</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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">62&#46;5 &#40;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">75 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Evolution time of diabetes mellitus &#40;years&#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">11&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;4&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">7&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;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="char" valign="\n
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                  \t\t\t\t">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>High blood pressure &#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">50 &#40;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">62&#46;5 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Dyslipidemia&#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">12&#46;5 &#40;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">87&#46;5 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Ischemic coronary disease &#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">37&#46;5 &#40;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">25 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Smoking habit &#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">37&#46;5 &#40;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">50 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Alcoholism&#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">25 &#40;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">62&#46;5 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Sedentarism&#37; &#40;<span class="elsevierStyleItalic">n</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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">75 &#40;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">75 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Obesity &#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">37&#46;5 &#40;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">50 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Familiar history of diabetes mellitus&#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">62&#46;5 &#40;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">75 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Familiar history of ischemic coronary disease &#37; &#40;<span class="elsevierStyleItalic">n</span>&#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">12&#46;5 &#40;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">50 &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">BG&#44; blood glucose&#59; BMI&#44; body mass index&#59; BP&#44; blood pressure&#59; HDL&#44; high density cholesterol&#59; HgbA1c&#44; glycosylated hemoglobin&#59; LDL&#44; low density cholesterol&#59; MDRD&#44; modification of diet on renal disease&#46;</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">&#177;Standard deviation&#46;</p>"
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Conventional group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>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-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Intervention group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>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-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><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">Men&#47;women&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">6&#47;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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#47;1&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="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Weight &#40;kg&#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">80&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;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">82&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>14&#46;9&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Height &#40;m&#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;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;06&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;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;04&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;96&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">BMI<span class="elsevierStyleSup">a</span> &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#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">28&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;4&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">30&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;46&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Systolic BP &#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">145<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>22&#46;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">140<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>18&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;63&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Dyastolic BP &#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">88&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;4&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">83&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">HgbA1c<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">b</span></a> &#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">7&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;3&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&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;1&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Triglyceride &#40;mg&#47;dl&#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">173&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>146&#46;3&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">264<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>220&#46;8&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Total cholesterol &#40;mg&#47;dl&#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">147&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>37&#46;6&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">206&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>54&#46;3&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">HDL<span class="elsevierStyleSup">d</span> &#40;mg&#47;dl&#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">32&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;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">36&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;38&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">LDL<span class="elsevierStyleSup">e</span> &#40;mg&#47;dl&#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">78&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>19&#46;6&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">135<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>52&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Creatinine &#40;mg&#47;dl&#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">0&#46;84<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;27&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&#46;82<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;24&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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">MDRD<span class="elsevierStyleSup">c</span> &#40;ml&#47;min&#47;m<span class="elsevierStyleSup">2</span>&#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">111&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>45&#46;8&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&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>43&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;67&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Basal BG &#40;mg&#47;dl&#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">220&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>57&#46;9&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">225&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>53&#46;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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">Average of BG &#40;mg&#47;dl&#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">139&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>36&#46;9&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
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                  \t\t\t\t" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Conventional group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">146&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>26&#46;12&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">Glucose of day 2 &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">131&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;51&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">Day 1 to day 2 glucose difference &#40;<span class="elsevierStyleItalic">P</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Day 1 Insulin doses &#40;IU&#41;<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;55&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">Insulin dose difference&#44; day 1 to day 2 &#40;<span class="elsevierStyleItalic">P</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;36&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Day 1 Insulin adjustments&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Day 2 Insulin adjustments&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">Total number of Insulin dose adjustments&#44; day 1 to day 2 &#40;<span class="elsevierStyleItalic">P</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;03&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Patients in normoglycemia &#37; &#40;<span class="elsevierStyleItalic">n</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Time to reach normoglycemia &#40;h&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Intervention group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>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">37&#46;5 &#40;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">62&#46;5 &#40;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">25 &#40;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">12&#46;5 &#40;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">12&#46;5 &#40;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">50 &#40;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">50 &#40;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>UKPDS fatal CHD score &#37;<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">13&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>16&#46;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">13&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;5&nbsp;\t\t\t\t\t\t\n
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                  """
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                      "titulo" => "Prevention of diabetes mellitus&#46; Technical report series no&#46; 844"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "G&#46; Olaiz Fern&#225;ndez"
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                            2 => "T&#46; Shamah Levy"
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                    0 => array:1 [
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                            0 => "A&#46; Czyzk"
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Article information

ISSN: 14059940
Original language: English

DOI:10.1016/j.acmx.2013.08.001

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2024 February	33	7	40
2024 January	19	2	21
2023 December	29	7	36
2023 November	25	3	28
2023 October	21	10	31
2023 September	28	5	33
2023 August	25	5	30
2023 July	14	6	20
2023 June	19	8	27
2023 May	41	7	48
2023 April	41	0	41
2023 March	39	1	40
2023 February	19	3	22
2023 January	15	1	16
2022 December	20	1	21
2022 November	17	3	20
2022 October	20	3	23
2022 September	15	3	18
2022 August	35	7	42
2022 July	26	5	31
2022 June	18	5	23
2022 May	24	6	30
2022 April	17	10	27
2022 March	40	7	47
2022 February	21	4	25
2022 January	26	4	30
2021 December	11	11	22
2021 November	21	8	29
2021 October	17	13	30
2021 September	24	15	39
2021 August	20	7	27
2021 July	54	8	62
2021 June	16	17	33
2021 May	32	10	42
2021 April	26	10	36
2021 March	36	16	52
2021 February	42	11	53
2021 January	29	13	42
2020 December	17	9	26
2020 November	21	3	24
2020 October	18	8	26
2020 September	14	7	21
2020 August	23	13	36
2020 July	39	12	51
2020 June	41	12	53
2020 May	26	13	39
2020 April	16	4	20
2020 March	12	3	15
2020 February	20	4	24
2020 January	12	5	17
2019 December	21	12	33
2019 November	7	9	16
2019 October	22	7	29
2019 September	22	4	26
2019 August	10	10	20
2019 July	10	11	21
2019 June	33	16	49
2019 May	89	18	107
2019 April	36	16	52
2019 March	9	4	13
2019 February	13	5	18
2019 January	8	5	13
2018 December	11	4	15
2018 November	14	2	16
2018 October	13	17	30
2018 September	7	4	11
2018 August	8	3	11
2018 July	4	6	10
2018 June	4	4	8
2018 May	6	7	13
2018 April	9	1	10
2018 March	3	4	7
2018 February	8	1	9
2018 January	6	1	7
2017 December	10	5	15
2017 November	13	8	21
2017 October	18	5	23
2017 September	23	15	38
2017 August	13	7	20
2017 July	10	5	15
2017 June	23	16	39
2017 May	19	11	30
2017 April	14	9	23
2017 March	29	21	50
2017 February	23	6	29
2017 January	15	1	16
2016 December	40	9	49
2016 November	32	11	43
2016 October	54	12	66
2016 September	34	5	39
2016 August	35	12	47
2016 July	21	2	23
2016 June	34	7	41
2016 May	17	9	26
2016 April	21	9	30
2016 March	23	9	32
2016 February	26	12	38
2016 January	35	15	50
2015 December	33	6	39
2015 November	17	7	24
2015 October	34	8	42
2015 September	20	6	26
2015 August	19	5	24
2015 July	13	7	20
2015 June	4	4	8
2015 May	19	11	30
2015 April	11	19	30
2015 March	19	12	31
2015 February	14	4	18
2015 January	13	14	27
2014 December	28	9	37
2014 November	24	9	33
2014 October	29	11	40
2014 September	24	9	33
2014 August	25	13	38
2014 July	18	11	29
2014 June	22	11	33
2014 May	23	14	37
2014 April	20	28	48
2014 March	76	59	135
2014 February	64	48	112
2014 January	65	58	123
2013 December	45	33	78

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