CLINICAL SCIENCE
Ankle-brachial index as a predictor of coronary disease events in elderly patients submitted to coronary angiography
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Papa, Izo Helber, Manes R. Ehrlichmann, Claudia Maria Rodrigues Alves, Marcia Makdisse, Livia N. Matos, Jairo Lins Borges, Renato D. Lopes, Edson Stefanini, Antonio Carlos Carvalho" "autores" => array:10 [ 0 => array:4 [ "nombre" => "Eduardo D.E." "apellidos" => "Papa" "email" => array:1 [ 0 => "eduardo.papa@yahoo.com.br" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">I</span>" "identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor1" ] ] ] 1 => array:3 [ "nombre" => "Izo" "apellidos" => "Helber" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">I</span>" "identificador" => "aff1" ] ] ] 2 => array:3 [ "nombre" => "Manes R." 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"apellidos" => "Lopes" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">III</span>" "identificador" => "aff3" ] ] ] 8 => array:3 [ "nombre" => "Edson" "apellidos" => "Stefanini" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">I</span>" "identificador" => "aff1" ] ] ] 9 => array:3 [ "nombre" => "Antonio Carlos" "apellidos" => "Carvalho" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">I</span>" "identificador" => "aff1" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Universidade Federal do Estado de São Paulo, Departamento de Cardiologia, São Paulo/SP, Brazil." "etiqueta" => "I" "identificador" => "aff1" ] 1 => array:3 [ "entidad" => "Hospital Israelita Albert Einstein, Departamento de Cardiologia, São Paulo/SP, Brazil." "etiqueta" => "II" "identificador" => "aff2" ] 2 => array:3 [ "entidad" => "Duke University School of Medicine, Department of Medicine, Durham/North Carolina, NC, USA." "etiqueta" => "III" "identificador" => "aff3" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor1" "etiqueta" => "*" "correspondencia" => "Tel.: 55 11 99963-5141" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 563 "Ancho" => 743 "Tamanyo" => 22330 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Event-free survival by ABI categories. Kaplan-Meier estimates showing MACE during the follow-up visit.</p>" ] ] ] "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 of the lower limbs (PAD) is a prevalent form of atherosclerotic disease. It has been estimated that in both North America and Europe, PAD affects approximately 27 million people, representing 16% of the North American population over 55 years of age (<a class="elsevierStyleCrossRef" href="#bib1">1</a>).</p><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">Longevity is a risk factor for the development of PAD</span><p id="para20" class="elsevierStylePara elsevierViewall">Data from the National Health and Nutrition Examination Survey (NHANES) indicate that PAD prevalence among people over 70 years of age is three times higher compared to patients 40–70 years of age (14.5% and 4.3%, respectively) (<a class="elsevierStyleCrossRef" href="#bib2">2</a>).</p><p id="para30" class="elsevierStylePara elsevierViewall">The coexistence of PAD with Coronary Arterial Disease (CAD) and cerebrovascular disease (CVD) is well known. The REACH trial, which involved elderly patients with CAD, CVD and symptomatic or asymptomatic PAD with three or more atherothrombotic risk factors, demonstrated that 70% of patients with PAD have atherosclerotic disease in other vascular beds (<a class="elsevierStyleCrossRef" href="#bib3">3</a>). According to Belch et al. (<a class="elsevierStyleCrossRef" href="#bib1">1</a>), individuals with low ankle-brachial indices (ABIs) have twice the chance of presenting CAD compared to subjects with normal ABIs and have increased risks of fatal and nonfatal myocardial infarctions, stroke and cardiovascular mortality as well as increased overall mortality.</p><p id="para40" class="elsevierStylePara elsevierViewall">The ABI is a simple, non-invasive method used to diagnose PAD. Compared to lower limb arterial angiography, an ABI <0.9 has been shown to have a sensitivity of 90–97% and a specificity of 98–100% for detecting stenosis that affects the lumen in more than 50% of one or more leg arteries (<a class="elsevierStyleCrossRef" href="#bib4">4</a>). Some studies have shown an association between the extent of CAD and PAD detected by ABI, regardless of the presence of symptoms (<a class="elsevierStyleCrossRef" href="#bib5">5</a>), and it is known that the association between PAD and CAD increases all-cause mortality and the cardiovascular risk of these patients two- to three-fold (<a class="elsevierStyleCrossRef" href="#bib6">6</a>). Additionally, in some cases, isolated PAD has been responsible for increased mortality compared to patients with isolated CAD or CVD (<a class="elsevierStyleCrossRef" href="#bib3">3</a>).</p><p id="para50" class="elsevierStylePara elsevierViewall">Data from patients with suspected CAD who have been referred for coronary angiography indicated that PAD prevalence is high when evaluated by ABI (<a class="elsevierStyleCrossRef" href="#bib6">6</a>,<a class="elsevierStyleCrossRef" href="#bib7">7</a>).</p><p id="para60" class="elsevierStylePara elsevierViewall">Therefore, although we have examined a high-risk group of patients, elderly patients with documented CAD and no PAD manifestations, this study aims to evaluate the impact of ABI as a marker of cardiovascular events in these patients and to evaluate the relationship between ABI and the extent of CAD as documented by coronary angiography.</p></span></span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">METHODS</span><p id="para70" class="elsevierStylePara elsevierViewall">During the study period, 425 coronary angiographies were performed in patients older than 65 years. Of these patients, 109 were evaluated, and 100 patients met the inclusion criteria. Therefore, we conducted a prospective observational cohort study of 100 consecutive patients aged ≥65 years who were asymptomatic for peripheral vascular disease and documented CAD by coronary angiography and who, immediately after hemodynamic investigation, were submitted to ABI determination and were followed for a mean period of 28.9±6.6 months by either medical care or telephonic contact. Angiographic inclusion criteria were defined as a stenosis that was ≥70% of the epicardial coronary artery in at least one vessel and/or greater than 50% of the left coronary branch. The extent of CAD was evaluated by the number of vessels involved: uniarterial when there was an isolated lesion in one coronary artery and multiarterial when evidence of CAD was present in two or more vessels. Hypertension was defined according to the criteria of the IV Brazilian Guidelines on Hypertension (a systolic blood pressure greater than or equal to 140 mmHg and a diastolic blood pressure greater than or equal to 90 mmHg with an associated cardiovascular risk factor) and/or use of antihypertensive medication (<a class="elsevierStyleCrossRef" href="#bib8">8</a>). Diabetes mellitus was diagnosed using the criteria of the American Diabetes Association: two fasting glucose measurements greater than or equal to 126 mg/dl, an oral glucose tolerance test with a post-load value within the 2 hours that was greater than or equal to 200 mg/dl or a casual plasma glucose greater than or equal to 200 mg/dl (<a class="elsevierStyleCrossRef" href="#bib9">9</a>). Dyslipidemia was defined as having plasma cholesterol levels greater than 240 mg/dl, low-density lipoprotein (LDL) cholesterol levels between 160 and 189 mg/dl and high-density lipoprotein (HDL) cholesterol levels <40 mg/dl, according to the III Brazilian Guidelines on Dyslipidemia and Atherosclerosis Prevention (<a class="elsevierStyleCrossRef" href="#bib10">10</a>). Smoking was assessed (current smoker or former) regardless of smoking history. We considered the following items as major cardiovascular events (MACE) to be prospectively studied: all-cause mortality, fatal and non-fatal myocardial infarction (MI) and stroke (transient or not).</p><p id="para80" class="elsevierStylePara elsevierViewall">All patients included in the study were outpatients who were cared for in the Cardiogeriatrics Center at UNIFESP, and the patients who agreed to take part in the study signed an informed consent document. This study was approved by the ethics and research committee of the Universidade Federal de São Paulo in accordance with the 1975 Helsinki Declaration and was registered as CEP 1254/09.</p><p id="para90" class="elsevierStylePara elsevierViewall">We excluded elderly patients with a clinical history of intermittent claudication, patients who had no significant coronary atherosclerotic disease after cardiac catheterization angiography, patients with an ABI ≥1.3 (non-compressible arteries), patients with decompensated heart failure and/or significant edema in their lower limbs, patients with amputation and patients who refused to participate in the study (<a class="elsevierStyleCrossRef" href="#bib11">11</a>)–(<a class="elsevierStyleCrossRef" href="#bib13">13</a>). The same physician (EDEP) performed all of the clinical evaluations and ABI measurements; at the inclusion of patients in the study, the physician did not know the specific results of the coronary angiography and the extent of coronary disease in each patient. However, the physician did know that all of the patients would have significant coronary disease.</p><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">Ankle-brachial index measurements</span><p id="para100" class="elsevierStylePara elsevierViewall">The ABI was measured using a portable vascular Doppler scanning MEDPEJ® (São Paulo, Brazil) 10 Mhz DV 2001 model and a BIC® aneroid sphygmomanometer (São Paulo, Brazil) with appropriate cuff inflators for brachial circumference, in accordance with international standards (<a class="elsevierStyleCrossRef" href="#bib11">11</a>).</p><p id="para110" class="elsevierStylePara elsevierViewall">During physical examination, the right arm circumference was measured at the mid-point between the acromion and the olecranon, and an appropriate cuff was selected. After a least a 5-minute rest, the systolic pressures of the upper (brachial) and lower (tibial posterior and dorsalis pedis) limbs were measured in the supine position, initially taking measures of the right superior member and, in sequence, the left superior member, left inferior member and right inferior member. The ABI of each inferior member was calculated by dividing the highest systolic pressure at the ankles by the highest systolic pressure of the upper arms. The lowest value obtained was validated for analysis, and according to the ABI value, PAD was classified as: severe (≤0.5), moderate (0.51–0.7), mild (0.71–0.9), and without PAD (greater than or equal to 0.9). A pathological ABI was considered to be a value <0.9 (<a class="elsevierStyleCrossRef" href="#bib11">11</a>,<a class="elsevierStyleCrossRef" href="#bib12">12</a>).</p><p id="para120" class="elsevierStylePara elsevierViewall">Patients with an ABI of 1.3 or more (noncompressible arteries) (<a class="elsevierStyleCrossRef" href="#bib13">13</a>), an acute decompensated heart failure and/or significant lower limb edema and an inferior member amputation as well as those who refused to participate in the study were not analyzed.</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">Statistical analysis and descriptive statistics</span><p id="para130" class="elsevierStylePara elsevierViewall">Quantitative data were described as the means and standard deviations (SD). The cutoff for the ABI was <0.9 for PAD diagnosis, taking into consideration values in the literature as references (<a class="elsevierStyleCrossRef" href="#bib11">11</a>,<a class="elsevierStyleCrossRef" href="#bib12">12</a>). Taking into account the characteristics of our sample, we assumed that we would have a 6% yearly event rate in patients with ABIs <0.9 and a 1% event rate in patients with normal ABIs.</p></span><span id="cesec60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle110">ABI analysis</span><p id="para140" class="elsevierStylePara elsevierViewall">We evaluated possible ABI predictors (as a dichotomized variable) with bivariate analysis using the chi-square test or Fisher test.</p><p id="para150" class="elsevierStylePara elsevierViewall">The continuous variable (age) in relation to ABI was evaluated using Student's t-test for independent samples and the Kolmogorov-Smirnov test when necessary to determine whether the age followed a normal distribution. The strength of association was measured using the Relative Risk (RR) with a 95% confidence interval (CI).</p><p id="para160" class="elsevierStylePara elsevierViewall">For the bivariate analysis, we considered a 10% significance level to be significant if more than one isolated tested variable was identified. A Poisson Regression model with an estimated RR was used to evaluate the combined occurrence of highest systolic blood pressure as a continuous variable and multiarterial disease events.</p></span><span id="cesec70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle120">Analysis of clinical events</span><p id="para170" class="elsevierStylePara elsevierViewall">We evaluated possible clinical event predictors (deaths, acute myocardial infarction [AMI], hospital admissions, MACE) with a bivariate analysis using the chi-square test or the Fisher Test.</p><p id="para180" class="elsevierStylePara elsevierViewall">The continuous variable (age) was evaluated in relation to the ABI using Student's t-test for independent samples and the Kolmogorov-Smirnov test when necessary.</p><p id="para190" class="elsevierStylePara elsevierViewall">Time elapsed between the PAD diagnosis and occurrence of MACE, and AMI was estimated calculating the last patient contact date minus the PAD diagnosis date for patients with no events. For patients with events, we determined the time considering the event occurrence date and the PAD diagnosis date. When the event date was uncertain, we considered the last patient contact date as the event date.</p><p id="para200" class="elsevierStylePara elsevierViewall">We used the time elapsed between the PAD diagnosis and the occurrence of MACE and AMI to obtain event-free survival curves using the Kaplan-Meier method. We compared the survival curves in relation to the ABI risk using the Log-Rank test.</p></span></span><span id="cesec80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle130">RESULTS</span><p id="para210" class="elsevierStylePara elsevierViewall">There were no significant hematomas or systemic complications after cardiac catheterization that would have interfered with the ABI measurements. In our sample (n = 100) there was a predominance of women (57%) and the average age was 77.4 years old (SD 6.7 years), ranging from 65 to 93 years, and the risk factor with the highest prevalence was hypertension (96%). The medium value for the ABI was 0.88 (SD 0.26), and we diagnosed PAD in 47% of the patients. The demographic characteristics of the population studied are presented in <a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>. The mean systolic blood pressure in the PAD group was higher than in the group without PAD (<span class="elsevierStyleItalic">p</span><0.001), and after applying two correlation coefficients, we noted a significant negative correlation between systolic blood pressure and ABI<0.9, which is expected because the calculation of ABI is always inversely proportional to the systolic blood pressure. The prevalence of hypertension was high in both groups, among both patients with PAD (100%) and those with a normal ABI (94.3%). The drugs that were used in this study are shown in <a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>. There was a higher proportion of patients without PAD using calcium blockers (32.2% and 13.3%, <span class="elsevierStyleItalic">p</span> = 0.024); Acetylsalicilic acid was the most frequently prescribed medication in both groups, followed by statins, beta blockers, ACE inhibitors, diuretics, oral hypoglycemics, ARBs, insulin, fibrates and antiplatelet agents, with no difference between groups with PAD and without PAD. Chronic renal failure, defined by a plasma creatinine level greater than 2.0, was not associated with reduced ABI, as shown in <a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>.</p><elsevierMultimedia ident="t1-cln_68p1481"></elsevierMultimedia><p id="para220" class="elsevierStylePara elsevierViewall">The extent of CAD was evaluated according the number of coronary arteries involved and revealed a high prevalence of multiarterial patients in the PAD group compared to uniarterial patients of the same group. However, there was a high prevalence of uniarterial patients without PAD (<a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>). Thus, we observed that the more severe the CAD, the lower the ABI with higher PAD prevalence. In fact, in multiarterial patients, the ABI medium value was significantly lower compared to uniarterial patients. (0.8±0.2 and 1.0±0.3, respectively, <span class="elsevierStyleItalic">p</span> = 0.047).</p><p id="para230" class="elsevierStylePara elsevierViewall">Data analysis indicated that the presence of multiarterial coronary disease is a risk factor for PAD development, with a two-fold increase (RR = 2.19, CI 95% = 1.27–3.77).</p><p id="para240" class="elsevierStylePara elsevierViewall">Over a mean period of 28.9 months (SD 6.6 months), we performed late follow-up assessments on all of the 100 patients who were part of the trial since the trial began. There were 17 major events with 11 deaths (11%), 9 by cardiovascular causes (8 by acute myocardial infarction [AMI], 1 by myocardial revascularization surgery complication), 1 by acute cholecystitis (sepsis) and 1 patient by an undetermined cause. Most deaths occurred in the PAD group. AMI was the main cause of death and was more frequent among patients with PAD, as demonstrated in <a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>.</p><p id="para250" class="elsevierStylePara elsevierViewall">The average annual event rate was greater than 10%. Mortality in the PAD group was higher for both overall and cardiovascular causes. There was also a higher incidence of stroke in this group (6%) compared to the normal ABI group, where there was no stroke. For non-fatal events, there was no significant difference between patients with or without PAD. However, MACE incidence was higher in PAD patients (<a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>).</p><p id="para260" class="elsevierStylePara elsevierViewall">An ABI<0.9 was the most important factor for all-cause mortality with a three-fold increased risk (RR 3.01; CI 95% 0.91–9.55). Additionally, a low ABI was a strong predictor for AMI and MACE, as shown in <a class="elsevierStyleCrossRef" href="#t2-cln_68p1481">Table 2</a>. Even correcting for the statistically significant difference between normal <span class="elsevierStyleItalic">versus</span> low ABI and the presence of multivessel coronary disease, the relationship between ABI and MACE remained. Thus, adjusting the analysis for single-vessel or multivessel disease did not significantly modify the RR (original RR 2.71 [95% CI 1.03 to 7.12] and corrected RR 2.90 [95% CI 1.11 to 7.62], as shown in <a class="elsevierStyleCrossRef" href="#t4-cln_68p1481">Table 4</a>).</p><elsevierMultimedia ident="t2-cln_68p1481"></elsevierMultimedia><elsevierMultimedia ident="t4-cln_68p1481"></elsevierMultimedia><p id="para270" class="elsevierStylePara elsevierViewall">An event-free survival curve analysis (MACE and AMI – <a class="elsevierStyleCrossRefs" href="#fig1">Figures 1 and 2</a>, respectively) indicated that the time elapsed between PAD diagnosis and the occurrence of MACE and AMI was shorter in the PAD group, as shown in <a class="elsevierStyleCrossRef" href="#t3-cln_68p1481">Table 3</a>.</p><elsevierMultimedia ident="fig1"></elsevierMultimedia><elsevierMultimedia ident="fig2"></elsevierMultimedia><elsevierMultimedia ident="t3-cln_68p1481"></elsevierMultimedia></span><span id="cesec90" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle140">DISCUSSION</span><p id="para280" class="elsevierStylePara elsevierViewall">In this study, which involved elderly patients consecutively selected accordingly to coronary cineangiography and with obstructive lesions greater than 70% in at least one epicardial vessel, we found that 47% of these patients had low ABIs. Similarly, a high prevalence of PAD measured by the ABI has been reported in studies focusing on both populations at high risk for PAD and primary care patients. Poredos and Jug (<a class="elsevierStyleCrossRef" href="#bib14">14</a>) correlated 42% of PAD prevalence in elderly patients (with an average age of 63.7 years) with CAD or cerebrovascular disease. In a study regarding acute coronary syndrome, Nuñez et al. (<a class="elsevierStyleCrossRef" href="#bib5">5</a>) reported that approximately 40% of the studied subjects (with an average age of 67.7 years) had an ABI≤0.9. The high average age of the patients included in our study (77.4 years) was higher than the described series and may partially explain the high prevalence of PAD we detected using the ABI, as this is a well-known correlation both in the general population and in patients with documented PAD (<a class="elsevierStyleCrossRef" href="#bib2">2</a>,<a class="elsevierStyleCrossRef" href="#bib3">3</a>,<a class="elsevierStyleCrossRef" href="#bib5">5</a>,<a class="elsevierStyleCrossRef" href="#bib20">20</a>).</p><p id="para290" class="elsevierStylePara elsevierViewall">Major cardiovascular risk factors for CAD are usually the same for PAD. Nonetheless, some authors suggest that there are more specific strong risk factors associated with atherosclerosis in certain vascular beds, such as smoking and PAD, hypertension and cerebrovascular disease as well as dyslipidemia associated with PAD (<a class="elsevierStyleCrossRef" href="#bib14">14</a>). In our study, there was no difference between the prevalence of risk factors in PAD patients and patients with CAD only (<a class="elsevierStyleCrossRef" href="#t1-cln_68p1481">Table 1</a>). This observation could be partially explained by the fact that we studied a group of patients with a high risk for cardiovascular events. Additionally, at the time of inclusion, all patients were adequately medicated, and any risk factors, such as smoking, were well controlled. As such, only 20% of the patients were smokers at the beginning of our study.</p><p id="para300" class="elsevierStylePara elsevierViewall">The evaluation of coronary cineangiography data from this study indicated that patients with a low ABI (<0.9) have a higher prevalence of multiarterial coronary disease compared to uniarterial patients. Additionally, an ABI<0.9 was independently related to the extent of CAD, as measured by the number of coronary arteries with obstructive CAD that were detected in the coronary angiography. Similarly, Sukhija et al. (<a class="elsevierStyleCrossRef" href="#bib7">7</a>,<a class="elsevierStyleCrossRef" href="#bib16">16</a>) analyzed patients with an average age of 71 years who were submitted to coronary angiography for suspicion of CAD and evaluated them for PAD using the ABI. Following their analysis, they reported a high prevalence of multiarterial patients (63%) in the PAD group and 11% of multiarterial patients without PAD (<span class="elsevierStyleItalic">p</span><0.001). Among patients in this same population, it was noted that the lower the ABI measurements, the higher the prevalence of multiarterial and the lower the prevalence of uniarterial patients (84% and 5%, respectively, <span class="elsevierStyleItalic">p</span><0.001).</p><p id="para310" class="elsevierStylePara elsevierViewall">Papamichael et al. (<a class="elsevierStyleCrossRef" href="#bib15">15</a>), in a study on asymptomatic PAD patients, with an average age of 60 years, evaluated by ABI and submitted to elective coronary angiography demonstrated that a low ABI (≤0.9) was related to a greater extension of CAD, evaluated according to the number of coronary arteries with obstructive CAD (variance analysis, <span class="elsevierStyleItalic">p</span> = 0.04) and to the Gensini score (<span class="elsevierStyleItalic">p</span> = 0.01).</p><p id="para320" class="elsevierStylePara elsevierViewall">A late follow-up analysis in our study revealed that only a low ABI (<0.9) was a strong predictor of all-cause death (RR 3.01; CI 95% = 0.91–9.95), AMI occurrence (RR 2.54; CI95% = 0.87–7.36) and MACE incidence (2.70; CI 95% = 1.08–6.77) when evaluated in relation to other risk factors.</p><p id="para330" class="elsevierStylePara elsevierViewall">In fact, Criqui et al. (<a class="elsevierStyleCrossRef" href="#bib17">17</a>) demonstrated, for the first time, a six-fold increase in CAD mortality in elderly patients (with an average age of 66 years) with reduced ABI compared to patients with normal ABI. Subsequently, Newman et al. (<a class="elsevierStyleCrossRef" href="#bib18">18</a>) also demonstrated an up to three-fold increase in CAD mortality in elderly individuals (with an average age of 77 years) with reduced ABI. Similarly, data from “The Cardiovascular Health Study” (<a class="elsevierStyleCrossRef" href="#bib19">19</a>), which involved 5,888 patients at over 65 years of age, demonstrated that, after a six-year follow up, patients with a low ABI and prevalent cardiovascular disease exhibited a 50% increase in all-cause mortality and up to a 61% increase in fatal and non-fatal AMI when gender and age were adjusted.</p><p id="para340" class="elsevierStylePara elsevierViewall">Papamichael et al. also evaluated the ABI as a prognostic factor in elderly patients who were submitted to elective coronary angiography and diagnosed with extracoronary atherosclerosis (carotid and/or femoral) (<a class="elsevierStyleCrossRef" href="#bib15">15</a>); they concluded that an ABI≤0.9 was the only predictor of major cardiovascular events and revascularization procedures when adjusted for age, LDL and cholesterol levels, intimal-medial thickness and CAD extent.</p><p id="para350" class="elsevierStylePara elsevierViewall">Diehn et al. (<a class="elsevierStyleCrossRef" href="#bib20">20</a>) concluded that symptomatic or asymptomatic PAD (ABI≤0.9) has been independently and significantly associated with mortality and major cardiovascular events, with an up to two-fold increase in their occurrences compared to elderly patients without PAD in primary care centers in Germany. Although we studied a group of patients with a high risk for cardiovascular events, that is, elderly patients with documented CAD, our conclusions were similar to those from the patients in primary care centers described in previous studies.</p><p id="para360" class="elsevierStylePara elsevierViewall">In our study, during late follow-up visits, we detected the presence of stroke in patients with low ABIs (6%); this pathology did not occur in patients with normal ABI. Murabito et al. (<a class="elsevierStyleCrossRef" href="#bib21">21</a>) evaluated patients from the Framingham study, with an average age of 80 years, who were tested for PAD by ABI; most were asymptomatic for the condition (82%). In these patients, the authors also observed a higher prevalence of stroke among persons with PAD compared to patients with normal ABI (13% and 5%, respectively), with a two-fold increased risk of stroke or transitory ischemic stroke compared to patients with normal ABI. In fact, elderly population-based studies revealed a positive correlation between reduced ABI and the presence of carotid atherosclerosis (carotid stenosis or medio-intimal thickness increase) in addition to an increased stiffness of the aorta and the carotid arteries, a common condition in elderly patients with PAD (<a class="elsevierStyleCrossRef" href="#bib22">22</a>).</p><p id="para370" class="elsevierStylePara elsevierViewall">This study had a few limitations, including the sample size and follow-up time. Although 100 elderly patients with PAD diagnosed by ABI and submitted to coronary angiography could not be regarded as a small casuistic, this sample size was not sufficient for more conclusive associations. In fact, the inclusion of patients after catheterization may have been a limiting factor for the evaluation of patients and may therefore have influenced the results. Furthermore, our follow-up time could have been longer; an increased follow-up time would contribute to an increased number of events and would strengthen our conclusions. However, we have not lost any patients to follow-up since their consecutive inclusion, which strengthens our sample power; additionally, we had more events than initially considered. Finally, the finding of an RR of 3.01 regarding the risk related to a low ABI was similar to findings reported in the literature, even though our starting point for patient selection was considerably different from previous studies.</p><p id="para380" class="elsevierStylePara elsevierViewall">In elderly patients with asymptomatic PAD and with documented CAD by coronary cineangiography, an ABI<0.9 proved to be a predictor of global and vascular mortality, fatal and non-fatal AMI and stroke, with an up to three-fold increase compared to individuals without PAD. We also demonstrated that, in this cohort of patients, the lower the ABI value, the more extensive the CAD. Therefore, ABI could be a useful tool not only for early detection of PAD, a condition frequently underdiagnosed on several levels of elderly care but also for the purpose of risk stratification among CAD patients. Those patients with reduced ABIs should undergo more aggressive cardiovascular management because these patients are part of a high-risk group for cardiovascular events and all-cause mortality.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:6 [ 0 => array:2 [ "identificador" => "xpalclavsec1582060" "titulo" => "KEYWORDS" ] 1 => array:3 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "cesec20" "titulo" => "Longevity is a risk factor for the development of PAD" ] ] ] 2 => array:3 [ "identificador" => "cesec30" "titulo" => "METHODS" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "cesec40" "titulo" => "Ankle-brachial index measurements" ] 1 => array:2 [ "identificador" => "cesec50" "titulo" => "Statistical analysis and descriptive statistics" ] 2 => array:2 [ "identificador" => "cesec60" "titulo" => "ABI analysis" ] 3 => array:2 [ "identificador" => "cesec70" "titulo" => "Analysis of clinical events" ] ] ] 3 => array:2 [ "identificador" => "cesec80" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec90" "titulo" => "DISCUSSION" ] 5 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2013-03-01" "fechaAceptado" => "2013-06-08" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1582060" "palabras" => array:5 [ 0 => "Peripheral Artery Disease" 1 => "Prognosis" 2 => "Coronary artery Disease" 3 => "Ankle Brachial Index" 4 => "Elderly" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVES:</span><p id="spara110" class="elsevierStyleSimplePara elsevierViewall">To correlate the importance of the ankle-brachial index in terms of cardiovascular morbimortality and the extent of coronary arterial disease amongst elderly patients without clinical manifestations of lower limb peripheral arterial disease.</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">METHODS:</span><p id="spara120" class="elsevierStyleSimplePara elsevierViewall">We analyzed prospective data from 100 patients over 65 years of age with coronary arterial disease, as confirmed by coronary angiography, and with over 70% stenosis of at least one sub-epicardial coronary artery. We measured the ankle-brachial index immediately after coronary angiography, and a value of <0.9 was used to diagnose peripheral arterial disease.</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS:</span><p id="spara130" class="elsevierStyleSimplePara elsevierViewall">The patients' average age was 77.4 years. The most prevalent risk factor was hypertension (96%), and the median late follow-up appointment was 28.9 months. The ankle-brachial index was <0.9 in 47% of the patients, and a low index was more prevalent in patients with multiarterial coronary disease compared to patients with uniarterial disease in the same group. Using a bivariate analysis, only an ankle-brachial index of <0.9 was a strong predictive factor for cardiovascular events, thereby increasing all-cause deaths and fatal and non-fatal acute myocardial infarctions two- to three-fold.</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">CONCLUSION:</span><p id="spara140" class="elsevierStyleSimplePara elsevierViewall">In elderly patients with documented coronary disease, a low ankle-brachial index (<0.9) was associated with the severity and extent of coronary arterial disease, and in late follow-up appointments, a low index was correlated with an increase in the occurrence of major cardiovascular events.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVES:" ] 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">Papa EDE conceived and designed the study, acquired data, analyzed and interpreted data and drafted the manuscript. Helber I, Erlichmann MR conceived and designed the study and analyzed data. Alves CM conceived and designed the study, analyzed data and performed coronary cineangiography. Makdisse M analyzed data. Mattos LN analyzed and interpreted data. Borges JL, Stefanini E analyzed data. Lopes RD critically reviewed the manuscript. Carvalho AC conceived and designed the study, analyzed and interpreted data and critically reviewed the manuscript.</p> <p class="elsevierStyleNotepara" id="cenpara20">No potential conflict of interest was reported.</p>" ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 563 "Ancho" => 743 "Tamanyo" => 22330 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Event-free survival by ABI categories. Kaplan-Meier estimates showing MACE during the follow-up visit.</p>" ] ] 1 => array:7 [ "identificador" => "fig2" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 457 "Ancho" => 743 "Tamanyo" => 18786 ] ] "descripcion" => array:1 [ "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Event-free survival by ABI categories. Kaplan-Meier estimates showing AMI during the follow-up visit.</p>" ] ] 2 => array:7 [ "identificador" => "t1-cln_68p1481" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spara40" class="elsevierStyleSimplePara elsevierViewall">Age (mean ± standard deviation) of patients with or without Peripheral Arterial Disease of the lower limbs (PAD). Major cardiovascular events (MACE); Coronary Arterial Disease (CAD). Student's t-test was used for the variable age (years). The chi-square test was used for the variables gender, diabetes mellitus, smoking, CAD extent (uniarterial or multiarterial), death, acute myocardial infarction, stroke and MACE. The Fisher test was used to analyze hypertension. The chi-square test was used to analyze chronic renal failure. Drugs were analyzed by the chi-square test or Fisher's exact test. Student's t-test was used to analyze blood pressure.</p>" "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="" 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PAD (ABI<0.9) \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">No PAD \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th 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" scope="col">Variables \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">(n = 47) \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">(n = 53) \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="" 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></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">Age, years (mean ± standard deviation) \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">77.8±6.6 \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="\n \t\t\t\t\ttop\n \t\t\t\t">77.1±8.1 \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.524 \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">Blood pressure, mmHg (mean ± standard deviation) \t\t\t\t\t\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><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><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">Systolic blood pressure \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">158.34±18.75 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">143.96±20.45 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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">Diastolic blood pressure \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">83.40±7.15 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">83.00±5.66 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.753 \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">Women, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (61.7%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (52.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.371 \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">Men, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (38.3%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">25 (47.2%) \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="" 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">Hypertension, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 (100%) \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">50 (94.3%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.245 \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">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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 (37.7%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (40.4%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.783 \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 (current or former) 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 (31.9%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">15 (28.3%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.694 \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">Chronic Renal failure (Creatinine > 2.0) \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="\n \t\t\t\t\ttop\n \t\t\t\t">6 (12.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">5 (9.4%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.595 \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">CAD extent – uniarterial, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 (43.4%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \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">CAD extent – multiarterial, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (83.0%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">30 (56.6%) \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="" 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">Drugs n (%) Nitrate \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">17 (32.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">16 (34.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.835 \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">Calcium antagonists \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">7 (13.3%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">15 (32.2%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.024 \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">Statins \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">44 (83.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">44 (93.7%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.104 \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">Beta-blockers \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">44 (83.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">35 (74.5%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.295 \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">Angiotensin (IECA) \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">37 (69.9%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">32 (68.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.852 \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">Diuretics \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">29 (54.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">32 (68.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Acetylsalicylic acid \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">49 (92.5%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">44 (93.7%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.000 \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">Oral hypoglycemic \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">11 (20.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">11 (23.5%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.750 \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 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">4 (7.6%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">6 (12.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.509 \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">ARBs \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">8 (15.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">11 (23.5%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.290 \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">Fibrates \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">2 (3.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">3 (6.4%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.664 \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">Antiplatelets \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">2 (3.8%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">3 (6.4%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">0.664 \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">Death, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.070 \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">Acute myocardial infarction, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (19.1%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">4 (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="\n \t\t\t\t\ttop\n \t\t\t\t">0.085 \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">Stroke, 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (6.4%) \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="\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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.100 \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">MACE 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (25.5%) \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="\n \t\t\t\t\ttop\n \t\t\t\t">5 (9.43%) \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.032 \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">Demographic and angiographic characteristics and the incidence of cardiovascular events in patients with and without PAD.</p>" ] ] 3 => array:7 [ "identificador" => "t2-cln_68p1481" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spara60" class="elsevierStyleSimplePara elsevierViewall">Relative risk values (RR), confidence interval (CI) and p-value. The chi-square test was used for the variables gender, diabetes mellitus and smoking. The presence of Peripheral Arterial Disease (PAD) was considered to have an ankle-brachial index of <0.9. Bivariate analysis was performed using the chi-square test or Fisher's exact test to evaluate possible ABI predictors.</p>" "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="" 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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">RR \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">CI 95% \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Death</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="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\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><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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PAD (ABI<0.9) \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.91–9.55 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.070 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender (female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.41–4.22 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.637 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43–3.98 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.642 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Smoking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.42–4.26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.625 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Fatal and non-fatal AMI</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="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\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><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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PAD (ABI<0.9) \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.87–7.36 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.085 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender (female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.21 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.42–3.44 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.723 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.34 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.48–3.71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.571 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Smoking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.51–4.13 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.475 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">MACE</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="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\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><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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PAD (ABI<0.9) \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.08–6.77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.032 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender (female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.55–3.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.481 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.09 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.45–2.65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.840 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Smoking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.27 \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="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.51–3.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="justify" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.601 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Analysis of the incidence of death, fatal and non-fatal acute myocardial infarction and major cardiovascular events related to cardiovascular risk factors and the presence of peripheral arterial disease (PAD) evaluated by the ankle-brachial index.</p>" ] ] 4 => array:7 [ "identificador" => "t3-cln_68p1481" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spara80" class="elsevierStyleSimplePara elsevierViewall">Time (average, years); Major cardiovascular events (MACE); Ankle-brachial index (ABI); Confidence interval (CI); Acute myocardial infarction (AMI). Average time was estimated by the Kaplan-Meier method. The <span class="elsevierStyleItalic">p</span>-value was calculated by the Log-Rank test.</p>" "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="" 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Time (years) \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">CI 95% \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-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="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">MACE</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="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\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><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">ABI≥0.9 \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">3.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(2.94–3.16) \t\t\t\t\t\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">0.022 \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">ABI<0.9 \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">2.73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(2.51–2.94) \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="" 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"><span class="elsevierStyleBold">AMI</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="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\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><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">ABI≥0.9 \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">3.07 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(2.97–3.17) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.082 \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">ABI<0.9 \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">2.83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(2.63–3.03) \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="" 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> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara70" class="elsevierStyleSimplePara elsevierViewall">Time elapsed between the PAD diagnosis and the occurrence of major cardiovascular events (MACE) and acute myocardial infarction (AMI).</p>" ] ] 5 => array:7 [ "identificador" => "t4-cln_68p1481" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spara100" class="elsevierStyleSimplePara elsevierViewall">Relative risk values (RR), confidence interval (CI) and p-value. The confounding effect was assessed by regression models considering the Poisson distribution and Robust estimation, considering the RR (relative risk) given the study design. The p-value was estimated using the Poisson regression model.</p>" "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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Variable \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Crude Analysis</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Multivariate 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">RR \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">CI (95%)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">RR \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="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">CI (95%)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Multiarterial \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">1.078 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">(0.416 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">2.797) \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.877 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.775 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.302 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align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.043 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">2.90 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">1.11 \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="\n \t\t\t\t\ttop\n \t\t\t\t">7.62 \t\t\t\t\t\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="\n \t\t\t\t\ttop\n \t\t\t\t">0.030 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara90" class="elsevierStyleSimplePara elsevierViewall">MACE analysis adjusting for confounding factors (ABI and multiarterial coronary disease).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 4 | 3 | 7 |
| 2024 October | 18 | 27 | 45 |
| 2024 September | 22 | 20 | 42 |
| 2024 August | 18 | 12 | 30 |
| 2024 July | 25 | 21 | 46 |
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| 2024 May | 21 | 10 | 31 |
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| 2024 March | 26 | 11 | 37 |
| 2024 February | 27 | 12 | 39 |
| 2024 January | 9 | 13 | 22 |
| 2023 December | 8 | 15 | 23 |
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| 2023 May | 32 | 0 | 32 |
| 2023 April | 35 | 0 | 35 |
| 2023 March | 6 | 1 | 7 |
| 2023 February | 0 | 1 | 1 |
| 2023 January | 1 | 2 | 3 |
| 2022 December | 44 | 3 | 47 |
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