<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1560-4381</journal-id>
<journal-title><![CDATA[Correo Científico Médico]]></journal-title>
<abbrev-journal-title><![CDATA[ccm]]></abbrev-journal-title>
<issn>1560-4381</issn>
<publisher>
<publisher-name><![CDATA[Universidad Ciencias Médicas de Holguín]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1560-43812017000100007</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Beyond the Definition of Metabolic Syndrome: Uric Acid, High Sensitivity C Reactive Protein and Global Cardiovascular Risk]]></article-title>
<article-title xml:lang="es"><![CDATA[Más allá de la definición de síndrome metabólico: ácido úrico, proteína c reactiva de alta sensibilidad y riesgo cardiovascular global]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega Abascal]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guimara Mosqueda]]></surname>
<given-names><![CDATA[Mayra Rosa]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega Abascal]]></surname>
<given-names><![CDATA[Luis]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Jose Avila Serrano Teaching Polyclinic. Velasco  ]]></institution>
<addr-line><![CDATA[Holguin ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2017</year>
</pub-date>
<volume>21</volume>
<numero>1</numero>
<fpage>70</fpage>
<lpage>86</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1560-43812017000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1560-43812017000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1560-43812017000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Introduction: the metabolic syndrome is becoming one of the main problems in public health. Objective: to evaluate the relation between metabolic syndrome and uric acid, high sensitivity c reactive protein, total cardiovascular risk and cardiovascular events. Methods: a study of cases controls nested in a dynamic cohort was carried out in Velasco Teaching Polyclinic from 2010 to 2015, the cases were 67 patients that developed metabolic syndrome during the period and the control group were 67 patients matched by sex and age ± 5 years. The participants underwent a physical examination, anthropometry, laboratory test; all the study participants were under continuous surveillance during 4.5 years for development of cardiovascular events. Results: the waist circumference (p = 0.000), systolic (p= 0.0042) and diastolic blood pressure (p= 0.0298), high sensitivity c reactive protein (p= 0.0039) and uric acid (p= 0.0283) were significantly associate in both groups. The body mass index was higher than 30 kg/m2 (OR 7.54; CI95%:3.35-16.9), LDL cholesterol greater than 4.16 mmol/l (OR 3.49; CI 95%:1.58-7.70) and hs CRP higher than 1 mg/dl (OR 3.59; CI 95%:1.51-8.51) showed statistically significant differences according to groups of studies. Global cardiovascular risk greater 20%, it was 3.84 times higher in the group with metabolic syndrome (CI 95%:1.67-8.82), 13.4% of the patients with metabolic syndrome developed a cardiovascular event during the period in comparison with the 2.9% in the group without metabolic syndrome (OR= 5.04; CI 95%: 1.04-24.3). Conclusions: metabolic syndrome was significantly associated with mean level of uric acid, high sensitivity c reactive protein, total cardiovascular risk and cardiovascular events.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Introducción: el síndrome metabólico se está convirtiendo en uno de los principales problemas de salud pública Objetivo: evaluar la relación entre el síndrome metabólico y el ácido úrico, la proteína c reactiva de alta sensibilidad, el riesgo cardiovascular global y la incidencia de eventos cardiovasculares. Métodos: se realizó un estudio de casos controles anidados en una cohorte dinámica en el Policlínico Docente de Velasco desde 2010 a 2015, los casos fueron 67 pacientes que desarrollaron síndrome metabólico en el periodo y 67 controles que fueron apareados por sexo y edad de ± 5 años en relación con los casos, los participantes fueron sometidos a un examen físico, determinaciones antropométricas y de laboratorio, fueron sometidos a seguimiento durante 4,5 años para la aparición de eventos cardiovasculares. Resultados: mostraron que la circunferencia abdominal (p 0,000), la presión arterial sistólica (p 0,0042) y diastólica (p 0,0298), la proteína c reactiva de alta sensibilidad (p 0,0039) y el ácido úrico (p 0,0283) mostraron asociación estadísticamente significativa en ambos grupos. El índice de masa corporal mayor de 30 kg/m2 (OR 7,54; IC 95%: 3,35-16,9), LDL colesterol mayor de 4,16 mmol/l (OR 3,49; IC 95%:1,58-7,70) y proteína c reactiva de alta sensibilidad mayor de 1 mg/dl (OR=3,59; IC 95%:1,51-8,51) mostraron asociación estadísticamente significativa de acuerdo con los grupos de estudio. El riesgo cardiovascular global mayor de 20% fue 3,84 veces mayor en el grupo con síndrome metabólico (IC 95 %: 1,67-8,82), el 13,4% de los pacientes con síndrome metabólico desarrollaron un evento cardiovascular durante el periodo de seguimiento en comparación con el 2,9% en el grupo sin síndrome metabólico (OR= 5,04; IC 95%: 1,04-24,3). Conclusiones: el síndrome metabólico se asoció significativamente con la concentración media de ácido úrico, con la proteína c reactiva de alta sensibilidad, el riesgo cardiovascular global y el desarrollo de eventos cardiovasculares.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[metabolic syndrome]]></kwd>
<kwd lng="en"><![CDATA[high sensitivity c reactive protein]]></kwd>
<kwd lng="en"><![CDATA[uric acid]]></kwd>
<kwd lng="en"><![CDATA[total cardiovascular risk]]></kwd>
<kwd lng="en"><![CDATA[primary health care]]></kwd>
<kwd lng="es"><![CDATA[síndrome metabólico]]></kwd>
<kwd lng="es"><![CDATA[proteína c reactiva de alta sensibilidad]]></kwd>
<kwd lng="es"><![CDATA[ácido úrico]]></kwd>
<kwd lng="es"><![CDATA[riesgo cardiovascular total]]></kwd>
<kwd lng="es"><![CDATA[atención primaria de salud]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  <font face="Verdana, Arial, Helvetica, sans-serif" size="2"></font>     <p align="right"><strong><font size="2" face="Verdana, Arial, Helvetica, sans-serif">ORIGINAL  RESEARCH</font></strong></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="4" face="Verdana, Arial, Helvetica, sans-serif"><strong>Beyond  the Definition of Metabolic Syndrome: Uric Acid, High Sensitivity C Reactive  Protein and Global Cardiovascular Risk</strong></font></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>M&aacute;s all&aacute; de la definici&oacute;n de s&iacute;ndrome metab&oacute;lico:  &aacute;cido &uacute;rico, prote&iacute;na c reactiva de alta sensibilidad y riesgo cardiovascular  global</strong></font></p>     <p align="justify">&nbsp;</p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>Jorge Vega Abascal<sup> 1</sup>,&nbsp; Mayra Rosa Guimara Mosqueda<sup> 2</sup>, Luis  Vega Abascal<sup> 3</sup></strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1. Master  degree in Medical Urgencies. Specialist in Internal Medicine. Associate  Professor. Jose Avila Serrano &nbsp;Teaching  Polyclinic.&nbsp; Velasco. Holguin, Cuba. <br />   2. Master  degree in Medical Urgencies. Specialist in Community Medicine and Second degree  Specialist in Cardiology. Associate Professor. Jose Avila Serrano Teaching  Polyclinic.&nbsp; Velasco. Holguin, Cuba.<br />   3. Master  degree in Medical Urgencies. Specialist in Surgery. Associate Professor.&nbsp; Jose Avila Serrano Teaching Polyclinic.&nbsp; Velasco. Holguin, Cuba.</font></p>     ]]></body>
<body><![CDATA[<p align="justify">&nbsp;</p>     <p align="justify">&nbsp;</p>   <hr size="2" width="100%" align="JUSTIFY" />     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>ABSTRACT</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>Introduction</strong>: the metabolic syndrome is becoming one of the  main problems in public health. <br />   <strong>Objective:</strong> to evaluate the relation between metabolic syndrome  and uric acid, high sensitivity c reactive protein, total cardiovascular risk  and cardiovascular events. <strong><br />   Methods:</strong> a study of cases controls nested in  a dynamic cohort was carried out in Velasco Teaching Polyclinic from 2010 to  2015, the cases were 67 patients that developed metabolic syndrome during the  period and the control group&nbsp; were 67  patients matched by sex and age &plusmn; 5 years. The participants underwent a  physical examination, anthropometry, laboratory test; all the study  participants were under continuous surveillance during 4.5 years for  development of cardiovascular events.<br />   <strong>Results:</strong> the waist circumference (p = 0.000), systolic (p=  0.0042) and diastolic blood pressure (p= 0.0298), high sensitivity c reactive  protein (p= 0.0039) and uric acid (p= 0.0283)&nbsp;&nbsp;  were significantly associate in both groups. The body mass index &nbsp;was higher than 30 kg/m2 (OR 7.54;  CI95%:3.35-16.9), LDL cholesterol greater than 4.16 mmol/l (OR 3.49; CI 95%:1.58-7.70)  and hs CRP higher than 1 mg/dl (OR 3.59; CI 95%:1.51-8.51) showed statistically  significant differences according to groups of studies. Global cardiovascular  risk greater 20%, it was 3.84 times higher in the group with metabolic syndrome  (CI 95%:1.67-8.82), 13.4% of the patients with metabolic syndrome developed a  cardiovascular event during the period in comparison with the 2.9% in the group  without metabolic syndrome (OR= 5.04; CI 95%: 1.04-24.3). <br /> <strong>Conclusions: </strong>metabolic  syndrome was significantly associated with mean level of uric acid, high  sensitivity c reactive protein, total cardiovascular risk and cardiovascular  events.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>Keywords:</strong> metabolic syndrome, high sensitivity c reactive  protein, uric acid, total cardiovascular risk, primary health care</font></p>   <hr size="2" width="100%" align="JUSTIFY" />     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>RESUMEN</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>Introducci&oacute;n</strong>: el s&iacute;ndrome metab&oacute;lico se  est&aacute; convirtiendo en uno de los principales problemas de salud p&uacute;blica <br />   <strong>Objetivo: </strong>evaluar la relaci&oacute;n entre el s&iacute;ndrome metab&oacute;lico y el &aacute;cido &uacute;rico, la  prote&iacute;na c reactiva de alta sensibilidad, el riesgo cardiovascular global y la  incidencia de eventos cardiovasculares. <br />   <strong>M&eacute;todos:</strong> se realiz&oacute; un estudio de casos controles anidados en una cohorte din&aacute;mica  en el Policl&iacute;nico Docente de Velasco desde 2010 a 2015, los casos  fueron 67 pacientes que desarrollaron s&iacute;ndrome metab&oacute;lico en el periodo y 67  controles que fueron apareados por sexo y edad de &plusmn; 5 a&ntilde;os en relaci&oacute;n con los  casos, los participantes fueron sometidos a&nbsp;  un examen f&iacute;sico, determinaciones antropom&eacute;tricas y de laboratorio,  fueron sometidos a seguimiento durante 4,5 a&ntilde;os para la aparici&oacute;n de eventos  cardiovasculares. <br />   <strong>Resultados: </strong>mostraron que la circunferencia abdominal (p 0,000), la presi&oacute;n arterial  sist&oacute;lica (p 0,0042) y diast&oacute;lica (p 0,0298), la prote&iacute;na c reactiva de alta  sensibilidad (p 0,0039) y el &aacute;cido &uacute;rico (p 0,0283) mostraron asociaci&oacute;n  estad&iacute;sticamente significativa en ambos grupos. El&nbsp; &iacute;ndice de masa corporal mayor de&nbsp; 30 kg/m2 (OR 7,54;&nbsp; IC 95%: 3,35-16,9), LDL colesterol&nbsp; mayor de 4,16 mmol/l (OR 3,49; IC 95%:1,58-7,70)&nbsp; y prote&iacute;na c reactiva de alta sensibilidad  mayor de&nbsp; 1 mg/dl (OR=3,59; IC 95%:1,51-8,51)  mostraron asociaci&oacute;n estad&iacute;sticamente significativa de acuerdo con los  grupos&nbsp; de estudio. El riesgo  cardiovascular global mayor de&nbsp; 20% fue&nbsp; 3,84 veces mayor en el grupo con s&iacute;ndrome  metab&oacute;lico (IC 95 %: 1,67-8,82), el&nbsp; 13,4%&nbsp; de los pacientes con &nbsp;s&iacute;ndrome metab&oacute;lico desarrollaron un evento  cardiovascular durante el periodo de seguimiento en comparaci&oacute;n con el&nbsp; 2,9% en el grupo sin s&iacute;ndrome metab&oacute;lico (OR=  5,04; IC 95%: 1,04-24,3). <br /> <strong>Conclusiones: </strong>el s&iacute;ndrome metab&oacute;lico se asoci&oacute; significativamente con la concentraci&oacute;n  media de &aacute;cido &uacute;rico, con la prote&iacute;na c reactiva de alta sensibilidad, el  riesgo cardiovascular global y el desarrollo de eventos cardiovasculares.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong>Palabras clave:</strong> s&iacute;ndrome metab&oacute;lico, prote&iacute;na c reactiva de alta sensibilidad, &aacute;cido  &uacute;rico, riesgo cardiovascular total, atenci&oacute;n primaria de salud.</font></p>   <hr size="2" width="100%" align="JUSTIFY" />       <p>&nbsp;</p>       <p>&nbsp;</p>       ]]></body>
<body><![CDATA[<p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>INTRODUCTION</strong></font>      </p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Metabolic  syndrome (MetS) is a combination of medical disorders that, including obesity,  insulin resistance, impaired glucose metabolism, dyslipidemia of high triglycerides,  low level of high density lipoprotein cholesterol (HDLc) and elevated blood  pressure, when occurring together, increase the risk of developing  cardiovascular disease and diabetes. It has become a major public health  challenge worldwide<sup> 1, 2</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Since the  first official definition of the MetS by a World Health Organization Working  Group in 1999, a  number of alternative definitions have been proposed. The most widely accepted  of these have been produced by the European Group for the Study of Insulin  Resistance (EGIR), International Diabetes Federation (IDF) and the National  Cholesterol Education Program Adult Treatment Panel III (ATP III)<sup> 3</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Although a  consensus criterion has not been reached for diagnosing MetS, it is recommended  that screening should consider central obesity, insulin resistance;  dyslipidemia (elevated triglycerides and low density lipoprotein cholesterol  (LDLc)) and decreased high density lipoprotein cholesterol (HDLc), and high  blood pressure. Other factors such as proinflammatory and prothrombotic states  have also been associated with MetS<sup> 4</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">These  various definitions differed not only in the proposed components but also in  the cut-off points used for each component, leading to considerable confusion,  the confusion relates not only to the usefulness in the clinical setting but  also was apparent in attempts to compare the burden of the MetS in different  populations<sup> 3, 5</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">There is an  abundance of widely varying data comparing prevalence using different criteria  and this only served to reinforce the need for a standardized definition  internationally.&nbsp; There is an urgent need  to rationalize the variety of definitions that had been developed for the MetS.  This need should be extended from clinical practice through to research<sup> 5</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The  construct of the MetS diagnostic criteria has inherent limitations which impact  on &nbsp;its clinical usefulness, it does not  include other important risk factors for predicting diabetes or cardiovascular  disease (CVD), such as age, sex, family history socioeconomic status,  ethnicity, current treatment, previous CVD events and LDLc, C reactive protein,  uric acid or important behavioral variables such as smoking and physical  activity<sup> 5, 6</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The MetS has  proposed as a means to identify people with increased risk of cardiovascular  disease and type 2 diabetes mellitus (T2DM) and to guide the clinical decisions  and it has shown its utility to predict the morbidity and mortality for  cardiovascular diseases and diabetes.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Cardiovascular  disease often occurs in people with considered acceptable or average risk  factors values, this suggests that there are other risk factors that must be  the cause of this disease. If these factors were considered to the present set  of CVD risk factors, it would improve risk estimation. A number of risk  factors, some of them new and often called novel risk factors, have been  proposed: &nbsp;inflammatory markers such as  C-reactive protein, coronary calcium, lipoprotein (a), interleukin-6,  fibrinogen, homocysteine, insulin resistance, MetS, platelet function, and  genetic scores<sup> 7</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The aim of  this study was to evaluate the relation between MetS and uric acid, high  sensitivity c reactive protein, global cardiovascular risk and cardiovascular  events.</font></p>     ]]></body>
<body><![CDATA[<p align="justify">&nbsp;</p>     <p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>METHODS</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">A nested  case control study in a dynamic cohort of 309 patients was carried out, the  sample were &nbsp;134 patients, with age  between 35 to 74 years, without cardiovascular disease at baseline, of the Jose  Avila Serrano Teaching Polyclinic, from Velasco, Holguin, during January 2010  to December 2015.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The cases  were 67 patients that developed MetS during the period, according to definition  of the ATP III proposed in 2005 by American Heart Association y and the&nbsp; National Heart, Lung, and Blood Institute3  and the controls were 67 patients matched by sex and age &plusmn; 5 years, MetS was &nbsp;considered if  the patients have three of&nbsp; the five  criteria: abdominal obesity (waist circumference &ge; 102 cm&nbsp; in male and&nbsp;  &ge; 88 cm  in female), elevated triglycerides &ge; 1.70 mmol/l, decreased high-density  lipoprotein cholesterol &lt; 0.9 mmol/l in male&nbsp;  y&nbsp;&nbsp; &lt; 1.1 mmol/l in female,  elevated blood pressure &ge; 130 mmHg for systolic or&nbsp; &ge; 85 mmHg for diastolic blood pressure or  blood pressure treatment,&nbsp; and fasting  glucose level &ge; &nbsp;5.55 mmol/l (100&nbsp; mg/dl) or T2DM previously diagnosed3.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The  participants underwent a physical examination, anthropometry, blood pressure  determination, blood pressure measurements were made on the right arm of the  seated participants with a aneroid sphygmomanometer and an appropriately sized  cuff; the average of two physician-obtained measures constituted the  examination blood pressure; waist circumference was measured (cm) at level of  the navel; cigarette smoking status was ascertained if the patients smokes or  had smokes &nbsp;in the last six months, past  history of diabetes and hypertension was ascertained by the physician; serum  total cholesterol and HDLc, LDLc, calculated according to Friedewald formula. &nbsp;Uric acid, glycaemia, high sensitivity c  reactive protein (hs CRP) levels were determined with standardized enzymatic  methods; hs CRP were determined in two times with an interval of 15 days, being  used the value average of both measurements.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The global  cardiovascular risk to the ten years was stratified using Framingham -  D&acute;Agostino (2008)<sup> 8</sup> risk table, that it use for the calculation of  the risk: age, sex, smoking, diabetes mellitus, treated or untreated systolic blood  pressure, total cholesterol and HDLc, classifying the patients as low risk  (&lt; 10%), among 10-20% as intermediate risk and &gt; 20% as high risk.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">All the  study participants were under continuous surveillance during 4.5 years; for  development of cardiovascular events or death. Study defines hard  cardiovascular events if the patients developed a myocardial infarction,  ischemic stroke, hemorrhagic stroke mortal or no, and coronary death, and it  was considered all cardiovascular events if the patient developed hard events  plus coronary angina, transitory ischemic attack and peripheral arterial  disease.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The means,  standard deviation and percentages were calculated. Student t test was used to  compare mean of the independent samples with significant value of p&lt; 0.05  and Odd Ratio (OR) with 95% confidence intervals, the data was coded and  processed using the Statistical Package for Social Sciences (SPSS, version 15)  and Med Calc software (version 4.16g). </font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">All  participants provided written informed consent, and the study protocol was  approved by the Institutional Review Ethics Committee at the Jose Avila Serrano  Teaching Polyclinic.</font></p>     <p align="justify">&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>RESULTS</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In the  cases and controls groups there were 49 women (73.1%) and 18 men (26.9%). The results showed that in the studied population the  waist circumference, systolic and diastolic blood pressure, level of high  sensitivity c reactive protein and mean uric acid levels were significantly  associated in both groups (<a href="#t1">table I</a>)</font></p>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><a name="t1" id="t1"></a><strong>Table I. </strong>Characteristic of the study population.</font></p>   <table width="580" border="1" align="center" cellpadding="0" cellspacing="0">     <tr>       <td width="28%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">        Variable </font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Metabolic<br />         Syndrome</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">n</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Means</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Standart<br />         Deviation</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Difference<br />           Between<br />         means</font></p></td>       <td width="13%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">95%<br />           Confidence<br />         Interval</font></p></td>       <td width="9%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">P<br />         value</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Age<br />         (years)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">56.2</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;    11.8</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1,8</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">-2.15-5.75</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.3688</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">54.4</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;11.3</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Waist    Circumference (cm)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">104.3</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;11.7</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">15.1</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">11.44-18.76</font></p></td>       <td width="9%" rowspan="2">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0000</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">89.2</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;9.6</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Systolic    Blood Pressure&nbsp; (mmHg)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">142</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;23.2</font></p></td>       <td width="12%" rowspan="2">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">10.8</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.48-18.12</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0042</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">131.2</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;19.5</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Diastolic    Blood<br />       Pressure&nbsp; (mmHg)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">86.9</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;12.3</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4.5</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.45-8.55</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0298</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">82.4</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">11.4</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Total    Cholesterol<br />         (mmol/l)</font></p></td>       <td width="12%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5.54</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;1.31</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.38</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">-0.06-0,82</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0968</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5.16</font></p></td>       <td width="11%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;1.32</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">LDL    cholesterol<br />         (mmol/l)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.22</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;1.39</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.23</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">-0.23-0.69</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.3261</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2.99</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;1.31</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Uric    Acid ( &mu;mol/l)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">348.6</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;166.3</font></p></td>       <td width="12%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">59.7</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">6.47-112.9</font></p></td>       <td width="9%" rowspan="2">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0283</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">288.9</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;144.5</font></p></td>     </tr>     <tr>       <td width="28%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Hs CRP<br />         (mg/dl)</font></p></td>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="4%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.8</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;2.8</font></p></td>       <td width="12%" rowspan="2">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.3</font></p></td>       <td width="13%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.42-2.18</font></p></td>       <td width="9%" rowspan="2">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.0039</font></p></td>     </tr>     <tr>       <td width="12%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="4%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">67</font></p></td>       <td width="8%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2.5</font></p></td>       <td width="11%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&plusmn;2.3</font></p></td>     </tr>   </table>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">LDLc:  Low density lipoprotein cholesterol<br />   Hs  CRP: High sensitivity c reactive protein</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The proposed components&nbsp;&nbsp; of MetS according to the ATPIII definition (<a href="#t2">table II</a>) showed statistically significant differences between  both groups.</font></p>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong><a name="t2" id="t2"></a>Table II. </strong>Factors considered as identifying abnormalities of  metabolic syndrome<br />  according to ATP III definition.</font></p>   <table width="580" border="1" align="center" cellpadding="0" cellspacing="0">     <tr>       <td width="27%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">        Factors </font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Metabolic Syndrome* n=67 n (%)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No Metabolic Syndrome n=67 n (%)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">OR</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&nbsp;95 %    CI</font></p></td>     </tr>     <tr>       <td width="27%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Waist    Circumference</font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">48(71.6)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">15(22.4)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">7.54</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.35-16.9</font></p></td>     </tr>     <tr>       <td width="27%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Increase    BP or Past history HBP</font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">50(74.6)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">27(40.3)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4.35</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2.08-9.09</font></p></td>     </tr>     <tr>       <td width="27%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Increase fasting glucose or Diabetes Mellitus</font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">26(38.8)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4(5.9)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9.98</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.24-30.7</font></p></td>     </tr>     <tr>       <td width="27%">    ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Triglycerides</font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">54(70.1)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">28(41.8)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5.78</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2.66-12.57</font></p></td>     </tr>     <tr>       <td width="27%">    <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">HDL    cholesterol</font></p></td>       <td width="24%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">37(55.2)</font></p></td>       <td width="26%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">14(20.9)</font></p></td>       <td width="7%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4.67</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2.18-9.99</font></p></td>     </tr>   </table>     ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Met  S: Metabolic Syndrome<br />   HBP:  High Blood Pressure<br />   HDLc:  High- density lipoprotein cholesterol</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">  *  Diagnosis of metabolic syndrome according to ATP III, 2005 (Adult Treatment  Panel III)<sup> 3</sup></font></p>   <ul>         <li>           <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Elevated  waist circumference: &ge; 102 cm  in men&nbsp; and&nbsp; &ge; 88 cm in women</font></p>     </li>         <li>           <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Elevated  blood pressure: 130 mm  Hg systolic BP or 85 mm  Hg diastolic BP or, drug treatment for hypertension.</font></p>     </li>         <li>           <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Elevated  fasting glucose 100 mg/dl or drug treatment for elevated glucose</font></p>     </li>         <li>           <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Elevated  triglycerides:&gt; 1.70 mmol/l</font></p>     </li>         ]]></body>
<body><![CDATA[<li>           <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Reduced&nbsp;&nbsp; HDL cholesterol: &lt;0.9 mmol/l in men and  &lt;1.1 mmol/l in women</font></p>     </li>       </ul>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Other  factors that increased the probability of MetS were body mass index more than  30 kg/m<sup>2</sup>, LDL cholesterol level more than 4.16 mmol/l&nbsp;&nbsp; and level of hs CRP higher than 1 mg/dl  showed statistically significant differences according to groups of study (<a href="#t3">table III</a>).</font></p>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><strong><a name="t3" id="t3"></a>Table III.&nbsp; </strong>Factors that increased probability of the metabolic  syndrome.</font></p>   <table width="580" border="1" align="center" cellpadding="0" cellspacing="0">     <tr>       <td width="35%" colspan="2">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">        Factors </font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Metabolic Syndrome n=67 n (%)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No Metabolic Syndrome    n=67 n (%)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">OR</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">95 % CI</font></p></td>     </tr>     <tr>       <td width="19%" rowspan="2">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Smoking</font></p></td>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Yes</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">19(28.4)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">20(29.8)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.93</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.44-1.96</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">48(71.6)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">47(70.1)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.07</font></p></td>       <td width="14%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.51-2.26</font></p></td>     </tr>     <tr>       <td width="19%" rowspan="3">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Body Mass Index (kg/m2)</font></p></td>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&lt; 24.9</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9(13.4)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">32(47.8)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.16</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.07-0.39</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">25-29.9</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">20(29.8)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">24(35.8)</font></p></td>       <td width="8%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.76</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.36-1.57</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 30</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">40(59.7)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">11(16.4)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">7.54</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.35-16.9</font></p></td>     </tr>     <tr>       <td width="19%" rowspan="3">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Total Cholesterol (mmol/l)</font></p></td>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&lt; 6</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">44(65.7)</font></p></td>       <td width="19%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">52(77.6)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.55</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.65-1.18</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">6-7.2</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">14(20.9)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9(13.4)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.70</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.68-4.25</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 7.2</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9(13.4)</font></p></td>       <td width="19%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">6(8.9)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.57</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.52-4.70</font></p></td>     </tr>     <tr>       <td width="19%" rowspan="3">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">LDL Cholesterol (mmol/l)</font></p></td>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&lt; 3.37</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">25(37.3)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">40(59.7)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.40</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.20-0.80</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.38-4.13</font></p></td>       <td width="22%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">13(19.4)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">15(22.4)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.83</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.36-1.92</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 4.16</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">29(43.3)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">12(17.9)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.49</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.58-7.70</font></p></td>     </tr>     <tr>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Uric acid (&mu;mol/l)</font></p></td>       <td width="15%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 440(Male)<br />       &gt;350(Female)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">27(40.3)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">20(29.8)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.58</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.77-3.24</font></p></td>     </tr>     <tr>       <td width="19%" rowspan="2">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Hs CRP (mg/dl)</font></p></td>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&lt; 1</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9(13.4)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">24(35.8)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.27</font></p></td>       <td width="14%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.12-0.66</font></p></td>     </tr>     <tr>       <td width="15%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 1</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">58(86.6)</font></p></td>       <td width="19%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">43(64.2)</font></p></td>       <td width="8%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.59</font></p></td>       <td width="14%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.51-8.51</font></p></td>     </tr>   </table>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">LDLc:  Low-density lipoprotein cholesterol<br />   Hs  CRP: High sensitivity c reactive protein</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Total  cardiovascular risk greater 20% was 3.84 times higher in the group with MetS  (95 % CI: 1.67-8.82) and 13.4% of the patients with MetS developed a  cardiovascular event during the period in comparison with 2.9% of patients in  the group without MetS (OR= 5.4; 95% CI: 1.04-24.3) (<a href="#t4">table IV</a>)</font></p>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><a name="t4" id="t4"></a><strong>Table IV. </strong>Global cardiovascular risk and cardiovascular  events according<br />  to study groups.</font></p>   <table width="580" border="1" align="center" cellpadding="0" cellspacing="0">     <tr>       <td width="32%" colspan="2">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">        Variable </font></p></td>       <td width="21%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Metabolic Syndrome n (%)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">No Metabolic Syndrome n (%)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">OR</font></p></td>       <td width="12%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&nbsp;95 %    CI</font></p></td>     </tr>     <tr>       <td width="22%" rowspan="3">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Global Cardiovascular Risk</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&lt; 10 %</font></p></td>       <td width="21%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">19(28.4)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">29(43.3)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.51</font></p></td>       <td width="12%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.25-1.06</font></p></td>     </tr>     <tr>       <td width="10%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">10-20 %</font></p></td>       <td width="21%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">21(31.3)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">28(41.8)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.63</font></p></td>       <td width="12%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.31-1.29</font></p></td>     </tr>     <tr>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&gt; 20 %</font></p></td>       <td width="21%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">27(40.3)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">10(14.9)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3.84</font></p></td>       <td width="12%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.67-8.82</font></p></td>     </tr>     <tr>       <td width="22%" rowspan="2">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Cardiovascular Events*</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Hard</font></p></td>       <td width="21%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5(7.5)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1(1.5)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5.32</font></p></td>       <td width="12%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">0.60-46.8</font></p></td>     </tr>     <tr>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">All</font></p></td>       <td width="21%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9(13.4)</font></p></td>       <td width="22%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2(2.9)</font></p></td>       <td width="10%">    <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5.04</font></p></td>       <td width="12%">    ]]></body>
<body><![CDATA[<p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1.04-24.3</font></p></td>     </tr>   </table>     <p align="center"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">*  Followed by 4.5 years</font></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>DISCUSSION </strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Among the  contributing major cardiovascular risk factors, an increased waistline,  elevated triglycerides, impaired fasting plasma glucose, high systolic blood  pressure and low levels of HDL cholesterol are referred to as MetS<sup> 3, 9</sup>.  Obesity is a growing burden worldwide; hence, forecasts predict an increase in  prevalence from 35%, to&nbsp; 51% by 2030 in US Americans<sup> 9</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In this  research the waist circumference (p 0.0000) was significantly associated in  both groups (<a href="#t1">table I</a>) and the BMI &gt; 30 kg/m<sup>2</sup> showed  significantly statistical differences (OR 7.54; 95 % CI: 3.35-16.9) (<a href="#t3">table III</a>). </font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In spite of the fact that high BMI values are associated with  adverse risk profiles for morbidity and mortality, particularly in relation to T2DM  and atherothrombotic cardiovascular disease, various sub-types of obesity have  been described which complement the apparent dose-response relationship between  BMI and its impact on health. The most classic sub-types are android obesity  (abdominal) and gynoid obesity (gluteal obesity)<sup> 10</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Less  well-known sub-types are, however, also of interest. For example, a phenotype  corresponding to metabolically obese normal-weight (MONW) individuals has been  reported, these individuals have a normal BMI together with some of the  characteristics of obese individuals such as insulin resistance, central  adiposity, low levels of HDL and high levels of triglycerides, and high blood  pressure. At the same time, metabolically healthy obese (MHO) individuals have  also been identified. These individuals have BMI&gt;30, but none of the  metabolic alterations which are typical of obese individuals<sup> 10</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The  existence of these 2 &quot;paradoxical&quot; sub-types led to several studies  over the last 2 decades which contributed to metabolically characterization and  quantify visceral adipose tissue as opposed to subcutaneous adipose tissue.  These studies showed that the quantity of visceral adipose tissue is directly  correlated in both men and women with a seriously altered metabolic risk  profile which leads the development of T2DM and cardiovascular disease.  Therefore, although it is true that obesity increases the risk of chronic  disease, it seems clear that patients with visceral obesity constitute a sub-group  of individuals with the most serious metabolic alterations<sup> 10</sup>. </font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Indeed,  adipose tissue is no longer regarded as a simple long-term storage organ for  fatty acids but rather appreciated as an important role in the metabolism of  lipids and glucose, since numerous hormones and proinflammatory cytokines are  released from adipocytes themselves, macrophages, fibroblasts and endothelial  cells, early, primary inflammatory changes in adipose tissue have consequently  been identified to play a key role in systemic inflammation, atherosclerosis  and cardiovascular death<sup> 9, 11</sup>.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">It has been  demonstrated that excess body fat, abdominal visceral fat, and larger waist  circumference have been associated with accelerated arterial stiffening.  Abdominal obesity has been associated with an adverse effect on blood vessels,  independently of age, sex, blood pressure, fasting glucose and BMI. Combination  of diabetes mellitus and abdominal obesity, but not overall obesity, has been  associated with significant deterioration in terms of arterial stiffness  parameters. Body fat distribution is one of the major determinants of metabolic  health, and visceral adiposity has a stronger correlation with metabolic  abnormalities and cardiovascular disease than subcutaneous adipose tissue<sup> 11</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The mean  level of uric acid was significantly associated in both groups (<a href="#t1">table  I</a>) but the level more than 440 and 350 &mu;mol/l in male and female  respectively were not significantly associated in the groups with and without MetS  (<a href="#t3">table III</a>). </font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Serum uric  acid (UA) is a strong predictor of stroke, coronary artery disease, and MetS,  however, the definite role of uric acid in these diseases is still the subject  of much discussion and debate because it is always accompanied with other risk  factors such as diet, obesity, and dyslipidemia. Specifically, disputation  exists about whether serum uric acid is a causative risk factor or only a  coexisting marker of those pathologic processes<sup> 12</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">However,  few studies have investigated the predictive role of UA levels, and studies  that investigate the relation between UA and MetS criteria in patients  previously detected with cardiovascular risk are still scarce<sup> 13</sup>.  Abreu da Silva, et al found&nbsp;&nbsp; higher UA  levels in subjects showing MetS when compared to those who did not<sup> 13</sup> ,  previous epidemiologic studies have also shown increased serum UA levels in  adults with MetS, as well as an association between increased UA levels  and&nbsp; oxidative stress, endothelial  dysfunction, inflammation,&nbsp;  atherosclerosis, and increased risk of cardiovascular events<sup> 13-15</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">BMI and  total body fat, indicators of total adiposity; and waist circumference,  indicator of central adiposity, showed an association with UA levels<sup> 13</sup>,  therefore, the independence of the associations of hyperuricaemia with  atherosclerosis and CVD has remained controversial<sup> 15</sup>, given that  low-grade inflammation and insulin resistance are two important risks factors  for MetS, uric acid may play a key role in the pathogenesis of MetS that is  partially mediated by an inflammatory pathway, additionally,&nbsp; uric acid might play a causal pathogenic role  in the cause of MetS that could possibly be mediated by the inhibition of  endothelial function<sup> 14, 15</sup> .</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">  Evidence  from prospective and interventional studies of various populations suggests  that gout and hyperuricaemia are independent risk factors for cardiovascular  diseases, the mechanisms linking hyperuricaemia and gout with cardiovascular  events are unclear but may include oxidative stress generated by xanthine  oxidase (XO), the enzyme that catalyses the formation of urate, other  explanations are a direct contribution to endothelial dysfunction and low-grade  inflammation associated with increased urate levels and tophi<sup> 16</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">During the  recent years, an increasing number of publications have supported that  allopurinol might have a benefit effect in a variety of cardiovascular  diseases, and may provide a survival benefit among patients with  hyperuricaemia. Indeed, allopurinol, a free radical scavenger, was found to  improve both endothelial dysfunction and levels of some markers of oxidative  stress<sup> 16</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The precise  mechanism by which allopurinol exerts a beneficial effect on the cardiovascular  system is poorly known, the drug is thought to act mainly through an increase  in the bioavailability of endothelium derived nitric oxide, presumably by  blocking the production of reactive oxygen species generated by the XO activity<sup> 16</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Recent data  have also suggested that the cardiovascular benefit of allopurinol in patients  with heart failure might be due to its urate lowering property, although this  point is a matter of debate. Indeed, post hoc analyses of clinical trials have  suggested that the reduced vascular risk afforded by therapeutics, such as  atorvastatin and losartan which are not XOs, was due to their urate lowering  property<sup> 16</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The  pathophysiological mechanism by which the MetS increases cardiovascular risk  remains under debate; earlier definitions by the World Health Organization and  the EGIR emphasize the independent role of insulin resistance as the underlying  component of the MetS. Insulin resistance progresses toward hyperinsulinemia  and hyperglycemia, thus triggering peripheral vasoconstriction and sodium  retention. Hepatic production of very low-density lipoprotein also increases,  leading to hypertriglyceridemia, low HDL cholesterol, elevated apolipoprotein  B, elevated small LDL cholesterol, and consequently, atherosclerosis, as a  result of these lipid imbalances, individuals with the MetS typically exhibit a  prothrombotic and proinflammatory state<sup> 17, 18</sup>.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Adipocytes  secrete mediators including Tumor Necrotic Factor (TNF), leptin, adiponectin,  and resistin, which lead to insulin resistance, it is postulated that central  obesity causes systemic hypertension and dyslipidemia independently and through  the induction of insulin resistance<sup> 18</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">&nbsp;At least half of the attributable risk in  patients who end up with a thrombus or atherosclerosis is caused by this  inflammatory response, major meta-analyses have shown that if you measure  inflammation using the high-sensitivity C-reactive protein (hs-CRP) test, the  magnitude of risk associated with hs-CRP is larger than the magnitude of risk  of high blood pressure or high cholesterol<sup> 19, 20</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">However,  all of these parameters are associated with elevated levels of hs-CRP, an  easily measured inflammatory biomarker that has proven to be a strong,  independent predictor of both incident diabetes and incident cardiovascular  disease, CRP levels also correlate with several other components such as  fasting insulin, microalbuminuria, and impaired fibrinolysis that are not  easily evaluated in usual clinical practice<sup> 19-21</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Rapidly  evolving work now demonstrates that in addition to being a marker of innate  immunity, CRP also has several direct effects at the level of the vessel wall,  these observations, along with basic research into the inflammatory mechanisms  of both diabetes and vascular dysfunction, provide strong evidence that insulin  resistance and atherosclerosis share a common inflammatory basis, CRP, however,  is also associated with several aspects of the MetS not easily ascertained in  usual clinical practice, including fasting insulin, hypofibrinolysis, and  microalbuminuria<sup> 19</sup></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">MetS is  associated with increased oxidative stress, furthermore, it appears that some  component pathologies of the MetS contribute to a higher percentage of total  oxidative stress than others; however, additional studies are needed to  determine the exact contribution of individual components to total oxidative  stress<sup> 4</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In this study no differences in the smoker in the groups  were found, this can be explained by the prevalence of women in both groups, smoking  and air pollution interact with the MetS which are not insufficiently assumed, but  they clearly combined to deliver a cardiovascular risk factor which is greater  than the sum of each of them.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Smokers and  ex-smokers are more likely to have MetS than nonsmokers, both cigarette smoking  and the MetS are strong independent risk factors for cardiovascular disease;  however, smoking also potentiates the negative cardiovascular effects of the MetS.  For example, MetS is associated with higher rates of cardiac events after acute  myocardial infarction and smoking has an additive effect. These effects are  largely mediated via Reactive Oxygen Species (ROS) generation<sup> 4</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">There is an  increasing interest in the development of novel biomarkers and imaging methods  to refine CV risk prediction, The Emerging Risk Factors Collaboration has  explored the benefit of including lipid-related markers [i.e. apolipoprotein B,  apo-lipoprotein A-I, lipoprotein (a), or lipoprotein-associated phospholipase  A2] in prognostic models for CV disease risk prediction<sup> 22-25</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">  MetS was  commonly defined by the presence of obesity, diabetes, hypertension, and  dyslipidemia, and these factors were involved in the mechanisms of insulin  resistance, inflammation, and atherosclerosis, but does not&nbsp; include other novel risk factor, the tools  for prediction of cardiovascular risk include other different risk factors and  both (MetS and scores for cardiovascular risk prediction) do not include other  risk factors, with the improving of knowledge on &nbsp;metabolic syndrome and the&nbsp; prediction of cardiovascular risk the  investigators have opportunities for the certain identification of novel  biomarkers or risk factors that could be considered for&nbsp; cardiovascular disease and the prevention of  the cardiovascular diseases is based in the opportune identification in the  primary health care with the biggest precision possible of the people with risk  of developed cardiovascular disease<sup> 26-28</sup>.</font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Specific  strengths of the present study were the use of nested case control study in a  dynamic cohort design tended to results in estimated with lower bias and  greater precision, controls matched to cases on classical matching factors (eg,  age, sex); a limitation of this study was its small sample due to lack of  laboratory reagents and suitable technology that did not allow to investigate  more people. </font></p>     ]]></body>
<body><![CDATA[<p align="justify">&nbsp;</p>     <p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>CONCLUSIONS</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In  conclusion, this research showed relation statistically significant&nbsp; between the MetS and the mean level of uric  acid, the level of hs CRP higher than 1 mgl/dl, level of LDLc greater than 4.16  mmol/l, the global cardiovascular risk higher than 20% and the incidence of all  cardiovascular events.</font></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><strong>REFERENCES</strong></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1. Zhou H,&nbsp; Guo Zr,&nbsp;  Hu Xs , Yu Lg,&nbsp; Xu Bx , Wu M, et  al. An exploratory  analysis of dynamic change of metabolic syndrome in relation to the risk of  developing cardiovascular disease in a chinese cohort. Iranian J Publ Health.  2012[cited 2013 Jan 14]; 41(4):26-34. Available in: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481612/pdf/ijph-41-26.pdf" target="_blank">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481612/pdf/ijph-41-26.pdf </a></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2. Zhu Z, Liu Y, Zhang C,  Yuan Z, Zhang Q, Tang Fang, et al. Identification of cardiovascular risk  components in urban chinese with metabolic syndrome and application to coronary  heart disease prediction: A longitudinal study. PLoS ONE. 2013[cited 2014 Jul  10]; 8(12): 1-10. Available in: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866125/pdf/pone.0084204.pdf" target="_blank">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866125/pdf/pone.0084204.pdf </a></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3. Zimmer P, George K,  Alberti M, Serrano M. A new international diabetes federation worldwide  definition of the metabolic syndrome: the rationale and the results. Rev Esp Cardiol.  2005[cited 6 Oct 2006]; 58(12):1371-1375. Available in: &nbsp;<a href="http://www.revespcardiol.org/es/content/articulo/13082533/" target="_blank">http://www.revespcardiol.org/es/content/articulo/13082533/</a></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4. Hutcheson R, Rocic P. The  metabolic syndrome, oxidative stress, environment, and cardiovascular disease:  The great exploration. Exp Diabetes Res. 2012[cited 27&nbsp; Jun 2013];2012(2012):1-13. Available in: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3399393/" target="_blank">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3399393/ </a></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5. Simmons RK, Alberti KG,  Gale EA, .Colagiuri S, Tuomilehto J, Qiao Q, et al. The metabolic syndrome:  useful concept or clinical tool? Report of a WHO expert Consultation . Diabetologia.  2010. [cited 14 Jan 2011];53(4):600&ndash;605. Available in: <a href="http://link.springer.com/article/10.1007/s00125-009-1620-4" target="_blank">http://link.springer.com/article/10.1007/s00125-009-1620-4</a></font></p>     ]]></body>
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<body><![CDATA[<p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">26. Vega J, Guimara M, Garces Y, Vega L, Rivas M. Predicci&oacute;n del riesgo  coronario y cardiovascular global en atenci&oacute;n primaria de salud. CCM. 2015  [cited 2015 Nov 27] 19(2):202-211. Available in: <a href="http://www.revcocmed.sld.cu/index.php/cocmed/article/download/979/622" target="_blank">http://www.revcocmed.sld.cu/index.php/cocmed/article/download/979/622</a></font></p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">27. Tarrag&oacute; E, Miguel Soca PE, Cruz L, Santiesteban Y. &nbsp;Factores de riesgo y prevenci&oacute;n de la  enfermedad isqu&eacute;mica. CCM. 2012 [cited 2014 Nov 20]; 16(2). Disponible en: <a href="http://www.revcocmed.sld.cu/index.php/cocmed/article/view/505" target="_blank">http://www.revcocmed.sld.cu/index.php/cocmed/article/view/505</a></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">  28. Rivas V&aacute;zquez D, Miguel Soca PE, Llorente Columbi&eacute; Y, Marrero Ram&iacute;rez  GM. Comportamiento cl&iacute;nico y epidemiol&oacute;gico del s&iacute;ndrome metab&oacute;lico en adultos.  Rev Cubana Med Gen Integr. 2015&nbsp; [citado&nbsp; 2016&nbsp; Mar&nbsp; 09];&nbsp;  31(3). Available in: <a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-21252015000300001&amp;lng=es" target="_blank">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-21252015000300001&amp;lng=es</a></font><p align="justify">&nbsp;</p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Recibido: 15 de julio de 2015<br />   Aprobado: 14 de marzo de 2016</font></p>     <p align="justify">&nbsp;</p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Jorge  Vega Abascal, MD, Msc. Jose Avila Serrano Teaching  Polyclinic.&nbsp; Velasco. Holguin, Cuba<br />   Email: <a href="mailto:vegabascal@gibara.hlg.sld.cu">vegabascal@gibara.hlg.sld.cu</a></font></p>      ]]></body><back>
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