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array:24 [ "pii" => "S1807593222023225" "issn" => "18075932" "doi" => "10.1590/S1807-59322011001000003" "estado" => "S300" "fechaPublicacion" => "2011-10-01" "aid" => "2322" "copyright" => "CLINICS" "copyrightAnyo" => "2011" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2011;66:1677-80" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:19 [ "pii" => "S1807593222023237" "issn" => "18075932" "doi" => "10.1590/S1807-59322011001000004" "estado" => "S300" "fechaPublicacion" => "2011-10-01" "aid" => "2323" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2011;66:1681-9" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCE</span>" "titulo" => "A novel experience in the use of control charts for the detection of nosocomial infection outbreaks" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "1681" "paginaFinal" => "1689" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig4" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 358 "Ancho" => 662 "Tamanyo" => 32585 ] ] "descripcion" => array:1 [ "en" => "<p id="spara40" class="elsevierStyleSimplePara elsevierViewall">The CUSUM control chart of incidence densities per 1,000 patients/day in the adult ICU of CH. The parameters used were K = 0.5 and H = 5σ.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Isabel Cristina Gomes, Sueli Aparecida Mingoti, Cláudia Di Lorenzo Oliveira" "autores" => array:3 [ 0 => array:2 [ "nombre" => "Isabel Cristina" "apellidos" => "Gomes" ] 1 => array:2 [ "nombre" => "Sueli Aparecida" "apellidos" => "Mingoti" ] 2 => array:2 [ "nombre" => "Cláudia" "apellidos" => "Di Lorenzo Oliveira" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222023237?idApp=UINPBA00004N" "url" => "/18075932/0000006600000010/v1_202212011334/S1807593222023237/v1_202212011334/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1807593222023213" "issn" => "18075932" "doi" => "10.1590/S1807-59322011001000002" "estado" => "S300" "fechaPublicacion" => "2011-10-01" "aid" => "2321" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2011;66:1671-5" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCE</span>" "titulo" => "Neuroendocrine tumors involving the gastroenteropancreatic tract: a clinicopathological evaluation of 773 cases" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "1671" "paginaFinal" => "1675" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig2" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 165 "Ancho" => 661 "Tamanyo" => 38593 ] ] "descripcion" => array:1 [ "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">A) A low cell-proliferation index (Ki-67<2%) in a G1 neuroendocrine tumor (X400). B) An intermediate cell-proliferation index (Ki-67∼10%) in a G2 neuroendocrine tumor (X400). C) A high cell-proliferation index (Ki-67∼90%) in a G3 neuroendocrine carcinoma (X400).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Bruna Estrozi, Carlos E Bacchi" "autores" => array:2 [ 0 => array:2 [ "nombre" => "Bruna" "apellidos" => "Estrozi" ] 1 => array:2 [ "nombre" => "Carlos E" "apellidos" => "Bacchi" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222023213?idApp=UINPBA00004N" "url" => "/18075932/0000006600000010/v1_202212011334/S1807593222023213/v1_202212011334/en/main.assets" ] "en" => array:18 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCE</span>" "titulo" => "Ischemia-modified albumin in type 2 diabetic patients with and without peripheral arterial disease" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "1677" "paginaFinal" => "1680" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Shao-gang MA, Chun-ling WEI, Bing HONG, Wei-nan YU" "autores" => array:4 [ 0 => array:4 [ "nombre" => "Shao-gang" "apellidos" => "MA" "email" => array:1 [ 0 => "mashaogang@163.com" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "*" "identificador" => "cor1" ] ] ] 1 => array:2 [ "nombre" => "Chun-ling" "apellidos" => "WEI" ] 2 => array:2 [ "nombre" => "Bing" "apellidos" => "HONG" ] 3 => array:2 [ "nombre" => "Wei-nan" "apellidos" => "YU" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Department of Endocrinology and Metabolism, the Affiliated Huai'an Hospital of Xuzhou Medical College, Huai'an, China." "identificador" => "aff1" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor1" "etiqueta" => "*" "correspondencia" => "Tel.: 86 517 80871820" ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="cesec10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle60">INTRODUCTION</span><p id="para10" class="elsevierStylePara elsevierViewall">Peripheral arterial disease (PAD) is a clinical manifestation of atherosclerotic arterial occlusive disease that affects the lower extremities. It is also one of the most severe complications of type 2 diabetes mellitus (T2DM) and a major cause of morbidity and mortality; patients with PAD have an increased risk of vascular events.<a class="elsevierStyleCrossRefs" href="#bib1">1,2</a> Peripheral arterial disease affects 8 to 12 million individuals in the United States and is also prevalent in Europe and Asia.<a class="elsevierStyleCrossRefs" href="#bib3">3–5</a> A cluster of conditions that are associated with metabolic abnormality, such as smoking, advanced age, hypertension, dyslipidemia, and high levels of homocysteine, are important risk factors for PAD. More than 95% of persons with PAD have one or more cardiovascular disease risk factors.<a class="elsevierStyleCrossRefs" href="#bib6">6–8</a></p><p id="para20" class="elsevierStylePara elsevierViewall">In PAD, biomarkers are released into the circulation from lower extremity arterial beds vascular endothelium. A blood test for PAD that measures these biomarkers, if sufficiently sensitive and specific, would be expected to improve recognition and treatment of affected individuals. Biomarkers for PAD also might be useful in determining prognosis, the risk for progression. Both traditional and nontraditional risk biomarkers are independently associated with PAD,<a class="elsevierStyleCrossRef" href="#bib9">9</a> and monitoring nontraditional risk biomarkers of PAD in diabetes might be particularly important. Among persons with PAD, circulating levels of D-dimer is higher 1 to 2 years before death than in periods more remote from death. D-dimer levels increase is independently associated with higher mortality in persons with PAD.<a class="elsevierStyleCrossRef" href="#bib10">10</a> In comparison to D-dimer, ischemia-modified albumin is a relatively new and sensitive biomarker for evaluating patients with ischemic events, especially for the early diagnosis of myocardial ischemia.<a class="elsevierStyleCrossRefs" href="#bib11">11,12</a> Ischemia-modified albumin, also called cobalt-binding albumin, is produced as a result of serum albumin flowing through ischemic tissues and is a marker of oxidative stress and ischemia, as serum levels of modified albumin rise in many diseases accompanied by ischemia.</p><p id="para30" class="elsevierStylePara elsevierViewall">Whether the modified albumin is associated with systemic atherosclerotic burden is not known. Until now, few studies in the literature have evaluated ischemia-modified albumin levels in patients with PAD. We hypothesized that the modified albumin levels might be affected by ischemia occurring in PAD and that modified albumin levels could be useful for the evaluation of hypoxia associated with a low ankle-brachial pressure index (ABI; ratio of ankle blood pressure to brachial blood pressure). The ABI is a simple and reliable means of diagnosing PAD. In this study, we investigated whether serum ischemia-modified albumin is associated with the ABI and/or with atherosclerotic risk factors in T2DM. A secondary objective was to identify whether serum ischemia-modified albumin is a nontraditional risk marker for PAD.</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">METHODS</span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">Patients</span><p id="para40" class="elsevierStylePara elsevierViewall">This study was performed in the department of endocrinology of the Affiliated Huai'an Hospital of Xuzhou Medical College in Huai'an, P.R. China. All participants gave informed consent. The study was approved by the Ethics Committee of the hospital, in accordance with the Declaration of Helsinki. The study included 290 patients (35.2% women) with T2DM, 110 of whom had coexisting PAD. The diagnoses of PAD were confirmed by color Doppler ultrasonography, a diagnosis of PAD was based on an ABI <0.9 or ≥1.3 in either leg, as described in previous studies.<a class="elsevierStyleCrossRefs" href="#bib3">3–5</a></p><p id="para50" class="elsevierStylePara elsevierViewall">The PAD group consisted of 68 males and 42 females between 52 and 78 years old. The non-PAD group consisted of 120 males and 60 females between 50 and 77 years old. In addition to age and gender, for each patient we recorded the blood pressure, diabetes and hypertension duration and other clinical information. All selected patients were without liver and kidney dysfunction, ischemic events, infection, and corticosteroid therapy.</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">Measurements</span><p id="para60" class="elsevierStylePara elsevierViewall">Blood samples were drawn from all subjects into vacutainer tubes by venipuncture, centrifuged and stored at -20°C for a maximum of four weeks before measurement of ischemia-modified albumin and homocysteine levels. The level of modified albumin was measured as previously described,<a class="elsevierStyleCrossRefs" href="#bib13">13–15</a> and the results were reported in absorbance units. For the applied technique of manual ischemia-modified albumin determination, the intra- and inter-assay coefficient of variations (CV) were 2.37% and 4.12%, respectively.</p><p id="para70" class="elsevierStylePara elsevierViewall">The homocysteine concentration was measured by a competitive immunoassay kit (Changsha Yikang Institute of Biological Technology, Changsha, China). The intra- and inter-assay CVs were 2.68% and 3.32%, respectively. Urine albumin was measured using a radioimmunoassay kit (Beijing North Institute of Biological Technology, Beijing, China). The intra- and inter-assay CVs were 3.37% and 3.07%, respectively.</p><p id="para80" class="elsevierStylePara elsevierViewall">The HbA1c level was measured on a Bio-Rad Laboratories Ltd. (Shanghai, China) HbA1c meter. The final HbA1c test result was calculated from the HbA1c/Hb ratio.<a class="elsevierStyleCrossRef" href="#bib16">16</a> The intra- and inter-assay precisions were CV 2.4% and CV 1.7%, respectively, and the sensitivity was 0.68 μmol/l for hemoglobin and 0.71 μmol/l for HbA1c. Plasma glucose, creatinine, uric acid, total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were measured by standard procedures.</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">Statistical Analyses</span><p id="para90" class="elsevierStylePara elsevierViewall">Statistical analyses were conducted with Statistical Package for the Social Sciences 11.0 for Windows (SPSS Inc, Chicago, IL). All quantitative data were expressed as the mean ±standard deviation ($\overline x $ ± SD). Differences between groups were analyzed by unpaired Student's t-tests and Chi-squared tests. Linear correlation coefficients between the modified albumin and various parameters were calculated. The risk factors for PAD were examined by multiple logistic analyses. A two-tailed p<0.05 was considered statistically significant.</p></span></span><span id="cesec60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle110">RESULTS</span><p id="para100" class="elsevierStylePara elsevierViewall">The clinical results of the survey of the PAD and non-PAD groups are shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>. Indexes in the PAD group, including age, HbA1c, systolic blood pressure, low-density lipoprotein cholesterol, total cholesterol, urine albumin, homocysteine, and ischemia-modified albumin, were higher than those of the non-PAD group (p<0.05). ABI was lower (p = 0.023). There were no significant differences between the two groups with respect to gender, diastolic blood pressure, high-density lipoprotein cholesterol, triglycerides, and serum uric acid.</p><elsevierMultimedia ident="tbl1"></elsevierMultimedia><p id="para110" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a> shows the correlation between ischemia-modified albumin levels and age, ABI, and other variables in both groups. Modified albumin was positively associated with HbA1c and homocysteine (r = 0.220, p = 0.030; r = 0.446, p = 0.044, respectively), while no correlation was found with ABI or other variables.</p><elsevierMultimedia ident="tbl2"></elsevierMultimedia><p id="para120" class="elsevierStylePara elsevierViewall">To examine the risk factors to PAD, a multiple logistic regression analysis with the eight significant variables (age, HbA1c, systolic blood pressure, low-density lipoprotein cholesterol, total cholesterol, urine albumin, homocysteine, and ischemia-modified albumin) was performed. The results are shown in <a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>. The odds ratios and 95% confidence intervals for PAD were calculated. The levels of HbA1c, systolic blood pressure, homocysteine, and modified albumin were independent risk factors to PAD (p<0.05).</p><elsevierMultimedia ident="tbl3"></elsevierMultimedia></span><span id="cesec70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle120">DISCUSSION</span><p id="para130" class="elsevierStylePara elsevierViewall">Modified albumin is also a novel indicator of widespread endothelial damage and ischemia in diabetic patients.<a class="elsevierStyleCrossRef" href="#bib17">17</a> In this study, ischemia-modified albumin levels were measured, and correlations between the modified albumin and HbA1c and homocysteine were described. Subjects with PAD had higher modified albumin levels and lower ABIs than patients without PAD. The increase in modified albumin and ABI could indicate an important clinical anoxic condition.</p><p id="para140" class="elsevierStylePara elsevierViewall">Recent studies demonstrate that the atherosclerotic process in the lower extremities in PAD is not confined to conduit vessels but also affects skeletal muscle flow reserve, metabolism and endothelial cells.<a class="elsevierStyleCrossRef" href="#bib9">9</a> Microvascular endothelial activity and skeletal muscle microvascular flow are significantly reduced in both the upper and lower extremities of PAD patients.<a class="elsevierStyleCrossRefs" href="#bib18">18,19</a> The biological explanation of this association between PAD and ischemia-modified albumin is related to a decrease in lower extremity perfusion and oxygenation, thus triggering albumin modification. High plasma modified albumin levels in diabetic subjects might indicate subclinical vascular disease. Microvascular dysfunction is a potential pathophysiological mechanism of PAD in such cases.</p><p id="para150" class="elsevierStylePara elsevierViewall">There have been several studies on the modified albumin in T2DM, but none considered PAD.<a class="elsevierStyleCrossRefs" href="#bib20">20–22</a> These studies suggest that the ischemia-albumin molecule in the plasma of diabetic patients is modified by the chronic hypoxic conditions provoked mainly by hyperglycemia and oxidative stress. The HbA1c in T2DM is closely associated with complications, including PAD; higher HbA1c levels reflect a higher prevalence of severe PAD.<a class="elsevierStyleCrossRef" href="#bib23">23</a> Serum modified albumin in the PAD group was higher than in the non-PAD group. There was a significant correlation between modified albumin and HbA1c. When HbA1c increases and the ABI decreases, the modified albumin might increase at the same time. The elevated modified albumin levels could be related to the severity of PAD. Levels of HbA1c and ischemia-modified albumin might be biomarkers of developing PAD. Long-term testing and maintenance of HbA1c and blood pressure in the normal range are of great importance for the prevention and delay of vascular complications of T2DM.</p><p id="para160" class="elsevierStylePara elsevierViewall">Levels of modified albumin were positively correlated with HbA1c and homocysteine, while no correlative relationship was found with ABI. As a biochemical marker, ischemia-modified albumin could be influenced by metabolic factors. The finding of a lack of a correlation with ABI needs further investigation. The PAD group, which had higher modified albumin levels, also presented higher levels of atherosclerotic risk factors, such as poor long-term glycemic control, hypertension, homocysteine, and dyslipidemia. The duration of diabetes, aging, hypertension, dyslipidemia, and advanced hemoglobin glycosylation are known risk factors of PAD.<a class="elsevierStyleCrossRefs" href="#bib6">6–8</a></p><p id="para170" class="elsevierStylePara elsevierViewall">It has also been shown that homocysteine can cause endothelial cell damage and vascular disease; Homocysteine is considered a major independent risk factor for coronary artery disease, stroke, and PAD. An elevated plasma homocysteine level (>15 μmoL) was associated with an increased risk of PAD in a meta-analysis of 27 studies.<a class="elsevierStyleCrossRef" href="#bib24">24</a> Higher homocysteine levels were associated with a lower ABI, independent of conventional risk factors.<a class="elsevierStyleCrossRef" href="#bib25">25</a> Few studies to date have investigated the association of homocysteine levels with ischemia-modified albumin in PAD. We report here that homocysteine levels are positively correlated with ischemia-modified albumin, such that high amounts of modified albumin might be accompanied by high homocysteine levels. The biomarkers modified albumin could also help to identify individuals with complex metabolic conditions who have a higher risk of suffering from PAD.</p></span><span id="cesec80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle130">CONCLUSION</span><p id="para180" class="elsevierStylePara elsevierViewall">Measuring the biomarkers ischemia-modified albumin and homocystein, combined with using the ankle-brachial index, could be helpful in monitoring and early diagnosis peripheral arterial disease in T2DM.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:7 [ 0 => array:2 [ "identificador" => "xpalclavsec1582214" "titulo" => "KEYWORDS" ] 1 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 2 => array:3 [ "identificador" => "cesec20" "titulo" => "METHODS" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "cesec30" "titulo" => "Patients" ] 1 => array:2 [ "identificador" => "cesec40" "titulo" => "Measurements" ] 2 => array:2 [ "identificador" => "cesec50" "titulo" => "Statistical Analyses" ] ] ] 3 => array:2 [ "identificador" => "cesec60" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec70" "titulo" => "DISCUSSION" ] 5 => array:2 [ "identificador" => "cesec80" "titulo" => "CONCLUSION" ] 6 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2011-03-22" "fechaAceptado" => "2011-06-14" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1582214" "palabras" => array:5 [ 0 => "Diabetes mellitus" 1 => "Peripheral arterial disease" 2 => "Ischemia-modified albumin" 3 => "Risk factors" 4 => "Biomarker" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVE:</span><p id="spara40" class="elsevierStyleSimplePara elsevierViewall">To determine whether there is an association between serum ischemia-modified albumin and the risk factor profile in type 2 diabetic patients with peripheral arterial disease and to identify the risk markers for peripheral arterial disease.</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">METHODS:</span><p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Participants included 290 patients (35.2% women) with type 2 diabetes. The ankle-brachial pressure index was measured using a standard protocol, and peripheral arterial disease was defined as an ankle-brachial index <0.90 or ≥1.3. The basal ischemia-modified albumin levels and clinical parameters were measured and analyzed. The risk factors for peripheral arterial disease were examined by multiple logistic analyses.</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS:</span><p id="spara60" class="elsevierStyleSimplePara elsevierViewall">Age, systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, urine albumin, homocysteine, and ischemia-modified albumin were significantly higher in patients with peripheral arterial disease than in disease-free patients (<span class="elsevierStyleItalic">p</span><0.05), while ankle-brachial index was lower in the former group (<span class="elsevierStyleItalic">p</span><0.05). Ischemia-modified albumin was positively associated with HbA1c and homocysteine levels (r = 0.220, p = 0.030; r = 0.446, p = 0.044, respectively), while no correlation was found with ankle-brachial index. Multiple logistic analyses indicated that HbA1c, systolic blood pressure, homocysteine and ischemia-modified albumin were independent risk factors for peripheral arterial disease in the diabetic subjects.</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">CONCLUSION:</span><p id="spara70" class="elsevierStyleSimplePara elsevierViewall">The baseline ischemia-modified albumin levels were significantly higher and positively associated with HbA1c and homocysteine levels in type 2 diabetic patients with peripheral arterial disease. Ischemia-modified albumin was a risk marker for peripheral arterial disease. Taken together, these results might be helpful for monitoring diabetic peripheral arterial disease.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVE:" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "METHODS:" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "RESULTS:" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "CONCLUSION:" ] ] ] ] "NotaPie" => array:1 [ 0 => array:1 [ "nota" => "<p class="elsevierStyleNotepara" id="cenpara10">No potential conflict of interest was reported.</p>" ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "tbl1" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">Parameters \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">non-PAD group (N = 180) Mean ± SD \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">PAD group (N = 110) Mean ± SD \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></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="top">Gender (women/men) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">60/120 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">42/68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.157 \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="" valign="top">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="center" valign="top">55.2±9.2 \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="center" valign="top">62.1±7.9 \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="center" valign="top"><span class="elsevierStyleBold">0.015</span> \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="" valign="top">Ankle-brachial index \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">1.1±0.12 \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="center" valign="top">0.69±0.11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top"><span class="elsevierStyleBold">0.023</span> \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="" valign="top">Systolic blood pressure (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="center" valign="top">126.7±11.0 \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="center" valign="top">139.2±13.6 \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="center" valign="top"><span class="elsevierStyleBold">0.033</span> \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="" valign="top">Diastolic blood pressure (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="center" valign="top">82.8±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="center" valign="top">89.2±8.0 \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="center" valign="top">0.702 \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="" valign="top">HbA1c (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">7.6±0.3 \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="center" valign="top">9.1±0.3 \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="center" valign="top"><span class="elsevierStyleBold">0.043</span> \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="" valign="top">Serum creatinine (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">85.9±6.1 \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="center" valign="top">92.8±8.2 \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="center" valign="top">0.064 \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="" valign="top">Serum uric acid (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">311.5±93.0 \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="center" valign="top">341.7±112.0 \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="center" valign="top">0.657 \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="" valign="top">Urine albumin (mg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">23.1±10.0 \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="center" valign="top">120.1±21.1 \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="center" valign="top"><span class="elsevierStyleBold">0.032</span> \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="" valign="top">Serum albumin (g/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">45.1±1.1 \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="center" valign="top">44.2±1.2 \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="center" valign="top">0.171 \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="" valign="top">Total cholesterol (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.6±1.4 \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="center" valign="top">5.7±1.2 \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="center" valign="top"><span class="elsevierStyleBold">0.035</span> \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="" valign="top">Triglycerides (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.0±1.2 \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="center" valign="top">2.6±1.1 \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="center" valign="top">0.422 \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="" valign="top">High-density lipoprotein cholesterol (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">1.4±0.3 \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="center" valign="top">1.1±0.3 \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="center" valign="top">0.446 \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="" valign="top">Low-density lipoprotein cholesterol (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.9±0.8 \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="center" valign="top">4.3±1.0 \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="center" valign="top"><span class="elsevierStyleBold">0.036</span> \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="" valign="top">Homocysteine (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">7.4±1.3 \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="center" valign="top">11.8±1.0 \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="center" valign="top"><span class="elsevierStyleBold">0.025</span> \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="" valign="top" style="border-bottom: 2px solid black">Ischemia-modified albumin (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.351±0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.841±0.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">0.039</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Clinical parameters of non-PAD and PAD groups with T2DM.</p>" ] ] 1 => array:7 [ "identificador" => "tbl2" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">Parameters \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">non-PAD group</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">PAD group</th></tr><tr title="table-row"><th 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" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">r \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">r \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></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="top">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="top">0.001 \t\t\t\t\t\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="top">0.985 \t\t\t\t\t\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="top">0.006 \t\t\t\t\t\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="top">0.965 \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="" valign="top">Ankle-brachial index \t\t\t\t\t\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="top">-0.012 \t\t\t\t\t\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="top">0.405 \t\t\t\t\t\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="top">-0.022 \t\t\t\t\t\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="top">0.315 \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="" valign="top">Systolic blood pressure (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="" valign="top">0.063 \t\t\t\t\t\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="top">0.834 \t\t\t\t\t\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="top">0.051 \t\t\t\t\t\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="top">0.716 \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="" valign="top">Diastolic blood pressure (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="" valign="top">0.121 \t\t\t\t\t\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="top">0.092 \t\t\t\t\t\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="top">0.180 \t\t\t\t\t\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="top">0.192 \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="" valign="top">HbA1c (%) \t\t\t\t\t\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="top">0.082 \t\t\t\t\t\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="top">0.081 \t\t\t\t\t\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="top">0.220 \t\t\t\t\t\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="top"><span class="elsevierStyleBold">0.030</span> \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="" valign="top">Serum creatinine (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\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="top">0.056 \t\t\t\t\t\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="top">0.650 \t\t\t\t\t\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="top">0.158 \t\t\t\t\t\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="top">0.151 \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="" valign="top">Serum uric acid (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\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="top">0.118 \t\t\t\t\t\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="top">0.227 \t\t\t\t\t\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="top">0.208 \t\t\t\t\t\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="top">0.127 \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="" valign="top">Urine albumin (mg/L) \t\t\t\t\t\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="top">0.065 \t\t\t\t\t\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="top">0.893 \t\t\t\t\t\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="top">0.459 \t\t\t\t\t\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="top">0.696 \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="" valign="top">Serum albumin (g/L) \t\t\t\t\t\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="top">0.085 \t\t\t\t\t\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="top">0.562 \t\t\t\t\t\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="top">0.125 \t\t\t\t\t\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="top">0.365 \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="" valign="top">Total cholesterol (mmol/L) \t\t\t\t\t\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="top">0.130 \t\t\t\t\t\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="top">0.703 \t\t\t\t\t\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="top">0.031 \t\t\t\t\t\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="top">0.823 \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="" valign="top">Triglycerides (mmol/L) \t\t\t\t\t\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="top">0.067 \t\t\t\t\t\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="top">0.128 \t\t\t\t\t\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="top">0.165 \t\t\t\t\t\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="top">0.229 \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="" valign="top">High-density lipoprotein cholesterol (mmol/L) \t\t\t\t\t\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="top">0.013 \t\t\t\t\t\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="top">0.340 \t\t\t\t\t\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="top">0.053 \t\t\t\t\t\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="top">0.701 \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="" valign="top">Low-density lipoprotein cholesterol (mmol/L) \t\t\t\t\t\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="top">0.134 \t\t\t\t\t\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="top">0.280 \t\t\t\t\t\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="top">0.037 \t\t\t\t\t\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="top">0.786 \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="" valign="top" style="border-bottom: 2px solid black">Homocysteine (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">0.247 \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">0.108 \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">0.446 \t\t\t\t\t\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="top" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">0.044</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Correlations between the IMA and clinical parameters in the diabetic subjects.</p>" ] ] 2 => array:7 [ "identificador" => "tbl3" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">Parameters \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multiple logistic regression analysis</th></tr><tr title="table-row"><th 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" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">Wald \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">OR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th></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="top">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="top">0.725 \t\t\t\t\t\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="top">0.640 \t\t\t\t\t\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="top">0.502 \t\t\t\t\t\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="top">0.790 - 1.012 \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="" valign="top">Systolic blood pressure (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="" valign="top">4.850 \t\t\t\t\t\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="top">1.751 \t\t\t\t\t\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="top"><span class="elsevierStyleBold">0.023</span> \t\t\t\t\t\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="top">1.517 - 3.437 \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="" valign="top">HbA1c (%) \t\t\t\t\t\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="top">3.801 \t\t\t\t\t\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="top">1.682 \t\t\t\t\t\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="top"><span class="elsevierStyleBold">0.034</span> \t\t\t\t\t\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="top">1.867 - 3.640 \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="" valign="top">Urine albumin (mg/L) \t\t\t\t\t\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="top">1.471 \t\t\t\t\t\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="top">1.002 \t\t\t\t\t\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="top">0.093 \t\t\t\t\t\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="top">0.968 - 1.168 \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="" valign="top">Total cholesterol (mmol/L) \t\t\t\t\t\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="top">1.907 \t\t\t\t\t\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="top">1.196 \t\t\t\t\t\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="top">0.068 \t\t\t\t\t\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="top">1.714 - 2.223 \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="" valign="top">Low-density lipoprotein cholesterol (mmol/L) \t\t\t\t\t\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="top">1.273 \t\t\t\t\t\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="top">0.915 \t\t\t\t\t\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="top">0.541 \t\t\t\t\t\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="top">0.918 - 1.515 \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="" valign="top">Homocysteine (<span class="elsevierStyleItalic">μ</span>mol/L) \t\t\t\t\t\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="top">3.084 \t\t\t\t\t\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="top">1.250 \t\t\t\t\t\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="top"><span class="elsevierStyleBold">0.045</span> \t\t\t\t\t\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="top">1.016 - 2.215 \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="" valign="top" style="border-bottom: 2px solid black">Ischemia-modified albumin (U/L) \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">3.455 \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">1.516 \t\t\t\t\t\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="top" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">0.040</span> \t\t\t\t\t\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="top" style="border-bottom: 2px solid black">1.216 - 2.368 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara30" class="elsevierStyleSimplePara elsevierViewall">Multiple logistic regression analysis using PAD as a dependent variable with all subjects (n = 290).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Peripheral arterial disease: a missed opportunity to administer statins so as to reduce cardiac morbidity and mortality" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ SS Daskalopoulou \n \t\t\t\t\t\t\t\t """ 1 => """ ME Daskalopoulos \n \t\t\t\t\t\t\t\t """ 2 => """ CD Liapis \n \t\t\t\t\t\t\t\t """ 3 => """ DP Mikhailidis \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => 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