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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2017.00460</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cabral</surname> <given-names>Lucas Scotta</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cherubini</surname> <given-names>Pedro Abrahim</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>de Oliveira</surname> <given-names>Marina Amaral</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bianchini</surname> <given-names>Larissa</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Torres</surname> <given-names>Carolina Machado</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bianchin</surname> <given-names>Marino Muxfeldt</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/15249"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Basic Research and Advanced Investigations in Neurology (BRAIN), Experimental Research Centre, Hospital de Cl&#x000ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Neurology Division, Hospital de Cl&#x000ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Centro de Tratamento de Epilepsia Refrat&#x000E1;ria (CETER), Department of Neurology, Hospital de Cl&#x000ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Fernando Cendes, Universidade Estadual de Campinas, Brazil</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Luiz Eduardo Betting, Universidade Estadual Paulista J&#x000FA;lio Mesquita Filho, Brazil; Marco Mula, St George&#x02019;s, University of London, United Kingdom</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Marino Muxfeldt Bianchin, <email>mbianchin&#x00040;hcpa.edu.br</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Epilepsy, a section of the journal Frontiers in Neurology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>460</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>03</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Cabral, Cherubini, de Oliveira, Bianchini, Torres and Bianchin.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Cabral, Cherubini, de Oliveira, Bianchini, Torres and Bianchin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract abstract-type="executive-summary">
<sec id="ST1">
<title>Introduction</title>
<p>Metabolic syndrome (MetS) is an emergent problem among patients with epilepsy. Here, we evaluate and compare the diagnostic yield and accuracy of different MetS criteria among adult patients with epilepsy to further explore the best strategy for diagnosis of MetS among patients with epilepsy.</p>
</sec>
<sec id="ST2">
<title>Materials and methods</title>
<p>Ninety-five epileptic adults from a tertiary epilepsy reference center were prospectively recruited over 22&#x02009;weeks in a cross-sectional study. MetS was defined according to five international criteria used for the diagnosis of the condition [ATP3, American Association of Clinical Endocrinologists (AACE), International Diabetes Federation (IDF), AHA/NHLBI, and harmonized criteria]. Sensitivity, specificity, positive and negative predictive values (NPVs), and area under the receiver operating characteristic curve (ROC) curve were estimated for each criterion.</p>
</sec>
<sec id="ST3">
<title>Results</title>
<p>In our sample, adult patients with epilepsy showed a high prevalence of obesity, hypertension, and diabetes. However, the prevalence of MetS was significantly different according to each criterion used, ranging from 33.7%, as defined by AACE, to 49.4%, as defined by the harmonized criteria (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.005). IDF criteria showed the highest sensitivity [<italic>S</italic>&#x02009;&#x0003D;&#x02009;95.5% (95% CI 84.5&#x02013;99.4), <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05] and AACE criteria showed the lowest sensitivity and NPV [<italic>S</italic>&#x02009;&#x0003D;&#x02009;68.2% (95% CI 52.4&#x02013;81.4), <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05; NPV&#x02009;&#x0003D;&#x02009;75.8% (95% CI 62.3&#x02013;86.1), <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05]. ROC curve for all criteria studied showed that area under curve (AUC) for IDF criterion was 0.966, and it was not different from AUC of harmonized criterion (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.092) that was used as reference. On the other hand, the use of the other three criteria for MetS resulted in significantly lower performance, with AUC for AHA/NHLBI&#x02009;&#x0003D;&#x02009;0.920 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0147), NCEP/ATP3&#x02009;&#x0003D;&#x02009;0.898 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0067), AACE&#x02009;&#x0003D;&#x02009;0.830 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.00059).</p>
</sec>
<sec id="ST4">
<title>Conclusion</title>
<p>Our findings suggest that MetS might be highly prevalent among adult patients with epilepsy. Despite significant variations in the yield of different criteria, the harmonized definition produced the highest prevalence rates and perhaps should be preferred. Correct evaluation of these patients might improve the rates of detection of MetS and foster primary prevention of cardiovascular events in this population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>metabolic syndrome</kwd>
<kwd>comorbidities in epilepsy</kwd>
<kwd>general medical conditions</kwd>
<kwd>risk factors</kwd>
<kwd>cardiovascular risk</kwd>
</kwd-group>
<contract-num rid="cn01">&#x00023;485423/2012-0, &#x00023;307084/2014-0, &#x00023;11/2043.0</contract-num>
<contract-sponsor id="cn01">Conselho Nacional de Desenvolvimento Cient&#x000ED;fico e Tecnol&#x000F3;gico<named-content content-type="fundref-id">10.13039/501100003593</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="11"/>
<word-count count="6803"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Epilepsy is a common serious chronic neurologic disorder, affecting about 50 million people worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Data from 2000 estimated the world&#x02019;s epilepsy-related burden of disease as 6,223,000 disability-adjusted life years (<xref ref-type="bibr" rid="B2">2</xref>), and ILAE/IBE/WHO Global Campaign against Epilepsy reaffirmed the prediction that the global burden of this disease will rise 14.7% in the next decade (<xref ref-type="bibr" rid="B3">3</xref>). Although epidemiological studies have pointed out that treatment success rates, public health policies, education, and psychosocial issues are key factors in Health-Related Quality of Life of patients with epilepsy, they have hardly addressed the impact of some common general medical conditions in patients with epilepsy (<xref ref-type="bibr" rid="B4">4</xref>). There is, indeed, growing concern regarding comorbidity management in epilepsy and the overall impact that they play in the global quality of life of patients with epilepsy.</p>
<p>Cardiovascular disease (CVD) has become the leading cause of death and has lifetime prevalence greater than 70% in western civilizations (<xref ref-type="bibr" rid="B5">5</xref>). In a cohort of 9,061 adult patients hospitalized due to epilepsy, estimated coronary heart disease mortality was 2.5 times the predicted rate; even greater rates were observed regarding stroke (<xref ref-type="bibr" rid="B6">6</xref>). A cross-sectional population-based study showed 34% increase in risk of coronary heart disease and 68% increase in risk of fatal CVD among patients with epilepsy (<xref ref-type="bibr" rid="B7">7</xref>). Also, a Swedish case&#x02013;control study linked epilepsy to a significantly higher incidence of myocardial infarction and worse cardiovascular outcomes (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Among the clinical tools for prediction of future CVD, the concept of metabolic syndrome (MetS) is well accepted. MetS is defined as a cluster of metabolic risk factors that include central obesity, dyslipidemia, insulin resistance, and/or glucose intolerance, and abnormally high blood pressure, in variable associations that increases the risk to develop CVD and diabetes (<xref ref-type="bibr" rid="B9">9</xref>). The occurrence and relevance of MetS in patients with epilepsy has been gaining growing emphasis in the neurological literature (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>). These studies are resumed in Table <xref ref-type="table" rid="T1">1</xref>, and they focused mainly on prevalence and metabolic aspects of MetS, but the definitions used were heterogeneous and data not readily comparable. In fact, various medical societies had published their own criteria for the MetS diagnosis, but how these criteria correlate, and more importantly, which is the one that best fits the epileptic population, is currently unknown. The objective of our study is to report the prevalence of MetS in patients with epilepsy in a cohort of an outpatient clinic of a tertiary hospital and evaluate diagnostic yield and accuracy of five different internationally accepted MetS criteria in these patients. We hope our work can drive attention to an underestimated health problem in patients with epilepsy, perhaps helping to improve care of these patients in near future.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of published studies evaluating metabolic syndrome (MetS) occurrence in epilepsy patients.</p></caption>
<table frame="hsides" rules="rows">
<thead>
<tr>
<th valign="top" align="left">Reference</th>
<th valign="top" align="left">Study design</th>
<th valign="top" align="left">Patients</th>
<th valign="top" align="left">Criteria for MetS</th>
<th valign="top" align="left">MetS occurence</th>
<th valign="top" align="left">Comments</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Pylv&#x000E4;nen et al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td align="left" valign="top">Case&#x02013;control</td>
<td align="left" valign="top">51 epileptic adults 45 healthy controls</td>
<td align="left" valign="top">ATP3</td>
<td align="left" valign="top">17.6%</td>
<td align="left" valign="top">All cases in monotherapy with valproate</td>
</tr>
<tr>
<td align="left" valign="top">Kim and Lee (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="left" valign="top">54 adult women with epilepsy</td>
<td align="left" valign="top">AHA/NHLBI</td>
<td align="left" valign="top">41.7% in patients on valproate<break/>5.3% in patients on carbamazepine</td>
<td align="left" valign="top">Small number of patients in each antiepileptic drug group</td>
</tr>
<tr>
<td align="left" valign="top">Verrotti et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">114 children and adolescents with epilepsy</td>
<td align="left" valign="top">&#x0201C;Age-adapted&#x0201D; ATP3</td>
<td align="left" valign="top">43.5% in obese patients<break/>Overall (obese&#x02009;&#x0002B;&#x02009;non-obese): 17.5%</td>
<td align="left" valign="top">Follow-up: 24&#x02009;months<break/>Results valid for overweight or obese</td>
</tr>
<tr>
<td align="left" valign="top">Fang et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td align="left" valign="top">Case&#x02013;control</td>
<td align="left" valign="top">36 epileptic adults, 26 obese non-epileptic controls</td>
<td align="left" valign="top">AHA/NHLBI</td>
<td align="left" valign="top">47.2% in epileptic patients, 32.1% in controls</td>
<td align="left" valign="top">All cases in monotherapy with valproate</td>
</tr>
<tr>
<td align="left" valign="top">Rakitin et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="left" valign="top">213 epileptic adults</td>
<td align="left" valign="top">ATP3</td>
<td align="left" valign="top">20.3% in patients on valproate<break/>40% in patients on carbamazepine</td>
<td align="left" valign="top">Imbalance of severe physical or mental disability between groups</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>This study aimed to determine the prevalence of MetS in a cohort of patients with epilepsy in an outpatient clinic of a tertiary hospital and to determine the general and specific performance of five international criteria used for the diagnosis of MetS. For this, we investigated National Cholesterol Education Program&#x02019;s Adult Treatment Panel III (NCEP ATP3) (<xref ref-type="bibr" rid="B16">16</xref>), American Association of Clinical Endocrinologists (AACE) (<xref ref-type="bibr" rid="B17">17</xref>), American Heart Association/National Heart, Lung and Blood Institute (AHA/NHLBI) (<xref ref-type="bibr" rid="B18">18</xref>), International Diabetes Federation (IDF) (<xref ref-type="bibr" rid="B19">19</xref>), and the harmonized criteria (IDF/NHLBI/AHA/WHF/IAS/IASO) (<xref ref-type="bibr" rid="B20">20</xref>). Harmonized criterion was used as gold standard to compare other criteria. Each criterion is composed of five specific subsets of criteria [obesity, high-density lipoprotein (HDL) cholesterol, triglycerides, dysglycemia, hypertension], each one with variable cutoffs. Table <xref ref-type="table" rid="T2">2</xref> presents a comparative view of components of five internationally accepted criteria for MetS diagnosis used in this study. Table <xref ref-type="table" rid="T3">3</xref> is revising cutoff values for waist circumference, by ethnic group, for the definition of central obesity in the IDF criteria. Table <xref ref-type="table" rid="T4">4</xref> is revising the cutoff values for waist circumference, by ethnic group, for the definition of central obesity in the harmonized criteria for comparison (IDF/NHLBI/AHA/WHF/IAS/IASO, 2009).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparative view of components of five accepted criteria for metabolic syndrome diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" rowspan="2"/>
<th valign="top" align="center" colspan="5">Criteria<hr/></th>
</tr>
<tr>
<th valign="top" align="left">ATP3 2002</th>
<th valign="top" align="left">American Association of Clinical Endocrinologists 2003</th>
<th valign="top" align="left">AHA/NHLBI 2005</th>
<th valign="top" align="left">International Diabetes Federation (IDF) 2005</th>
<th valign="top" align="left">IDF/NHLBI/AHA/WHF/IAS/IASO(harmonized) 2009</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Reference</td>
<td align="left" valign="top">National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td align="left" valign="top">Einhorn et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td align="left" valign="top">Grundy et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td align="left" valign="top">Alberti et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td align="left" valign="top">Alberti et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Conditions for diagnosis</td>
<td align="left" valign="top">Three or more</td>
<td align="left" valign="top">High risk of insulin resistance OR BMI &#x02265;25&#x02009;kg/m<sup>2</sup> OR &#x02191;waist circumference (males: &#x02265;102&#x02009;cm/females: &#x02265;88&#x02009;cm) PLUS two or more</td>
<td align="left" valign="top">Three or more</td>
<td align="left" valign="top">Increased waist circumference [according to ethnic group&#x02014;See Ref. (<xref ref-type="bibr" rid="B19">19</xref>)] PLUS two or more</td>
<td align="left" valign="top">Three or more</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Component</bold></td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Obesity</td>
<td align="left" valign="top">Waist circumference males: &#x02265;102&#x02009;cm, females: &#x02265;88&#x02009;cm</td>
<td align="center" valign="top">&#x02013;</td>
<td align="left" valign="top">Waist circumference males: &#x02265;102&#x02009;cm, females: &#x02265;88&#x02009;cm</td>
<td align="center" valign="top">&#x02013;</td>
<td align="left" valign="top">Increased waist circumference [according to ethnic group&#x02014;See Ref. (<xref ref-type="bibr" rid="B20">20</xref>)]</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Low high-density lipoprotein cholesterol</td>
<td align="center" valign="top">Males: &#x0003C;40&#x02009;mg/dL, females: &#x0003C;50&#x02009;mg/dL</td>
<td align="left" valign="top">Males: &#x0003C;40&#x02009;mg/dL, females: &#x0003C;50&#x02009;mg/dL</td>
<td align="left" valign="top">Males: &#x0003C;40&#x02009;mg/dL, females: &#x0003C;50&#x02009;mg/dL OR on specific antilipemic drug(s)</td>
<td align="left" valign="top">Males: &#x0003C;40&#x02009;mg/dL, females: &#x0003C;50&#x02009;mg/dL</td>
<td align="left" valign="top">Males: &#x0003C;40&#x02009;mg/dL, females: &#x0003C;50&#x02009;mg/dL OR on specific antilipemic drug(s)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Elevated triglycerides</td>
<td align="left" valign="top">&#x02265;150&#x02009;mg/dL</td>
<td align="left" valign="top">&#x02265;150&#x02009;mg/dL</td>
<td align="left" valign="top">&#x02265;150&#x02009;mg/dL OR on specific antilipemic drug(s)</td>
<td align="left" valign="top">&#x02265;150&#x02009;mg/dL</td>
<td align="left" valign="top">&#x02265;150&#x02009;mg/dL OR on specific antilipemic drug(s)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Dysglycemia</td>
<td align="left" valign="top">FBG&#x02009;&#x02265;&#x02009;110&#x02009;mg/dL</td>
<td align="left" valign="top">FBG &#x02265;110&#x02009;mg/dL OR 2&#x02009;h oral glucose tolerance test &#x02265;140&#x02009;mg/dL</td>
<td align="left" valign="top">FBG &#x02265;100&#x02009;mg/dL OR on antihyperglycemic drug(s)</td>
<td align="left" valign="top">FBG&#x02009;&#x02265;&#x02009;100&#x02009;mg/dL OR previous T2DM diagnosis</td>
<td align="left" valign="top">FBG&#x02009;&#x02265;&#x02009;100&#x02009;mg/dL OR on antihyperglycemic drug(s)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">High blood pressure</td>
<td align="left" valign="top">&#x02265;130/85&#x02009;mmHg OR on antihypertensive drug(s)</td>
<td align="left" valign="top">&#x02265;130/85&#x02009;mmHg</td>
<td align="left" valign="top">&#x02265;130/85&#x02009;mmHg OR on antihypertensive drug(s)</td>
<td align="left" valign="top">&#x02265;130/85&#x02009;mmHg OR on antihypertensive drug(s) WITH previous hypertension diagnosis</td>
<td align="left" valign="top">130/85&#x02009;mmHg OR on antihypertensive drug(s) WITH previous hypertension diagnosis</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Cutoff values for waist circumference, by ethnic group, for the definition of central obesity in the International Diabetes Federation criteria (2005) (<xref ref-type="bibr" rid="B19">19</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Ethnic group</th>
<th valign="top" align="left">Waist circumference cutoff</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>Europoids</bold></td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Males</td>
<td align="left" valign="top">&#x02265;94&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top">Females</td>
<td align="left" valign="top">&#x02265;80&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top"><bold>South Asians and Chineses</bold></td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Males</td>
<td align="left" valign="top">&#x02265;90&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top">Females</td>
<td align="left" valign="top">&#x02265;80&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Japaneses</bold></td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Males</td>
<td align="left" valign="top">&#x02265;85&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top">Females</td>
<td align="left" valign="top">&#x02265;90&#x02009;cm</td>
</tr>
<tr>
<td align="left" valign="top">South and Central Americans</td>
<td align="left" valign="top">Use South Asian data when local cutoffs unknown</td>
</tr>
<tr>
<td align="left" valign="top">Sub-Saharan Africans</td>
<td align="left" valign="top">Use Europoids data when local cutoffs unknown</td>
</tr>
<tr>
<td align="left" valign="top">Mediterranean and Arab populations</td>
<td align="left" valign="top">Use Europoids data when local cutoffs unknown</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Cutoff values for waist circumference, by ethnic group, for the definition of central obesity in the harmonized criteria (International Diabetes Federation/NHLBI/AHA/WHF/IAS/IASO, 2009) (<xref ref-type="bibr" rid="B20">20</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Population</th>
<th valign="top" align="center" colspan="2">Waist circumference cutoff<hr/></th>
</tr>
<tr>
<th valign="top" align="center">Males (cm)</th>
<th valign="top" align="center">Females (cm)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Europoid</td>
<td align="center" valign="top">&#x02265;94</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Caucasian</td>
<td align="center" valign="top">&#x02265;94 (high risk)</td>
<td align="center" valign="top">&#x02265;80 (high risk)</td>
</tr>
<tr>
<td align="center" valign="top">&#x02265;102 (even higher risk)</td>
<td align="center" valign="top">&#x02265;88 (even higher)</td>
</tr>
<tr>
<td align="left" valign="top">United States of America</td>
<td align="center" valign="top">&#x02265;102</td>
<td align="center" valign="top">&#x02265;88</td>
</tr>
<tr>
<td align="left" valign="top">Canada</td>
<td align="center" valign="top">&#x02265;102</td>
<td align="center" valign="top">&#x02265;88</td>
</tr>
<tr>
<td align="left" valign="top">European</td>
<td align="center" valign="top">&#x02265;102</td>
<td align="center" valign="top">&#x02265;88</td>
</tr>
<tr>
<td align="left" valign="top">Asia (including Japan)</td>
<td align="center" valign="top">&#x02265;90</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top">Asia (excluding Japan)</td>
<td align="center" valign="top">&#x02265;90</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top">Japaneses</td>
<td align="center" valign="top">&#x02265;85</td>
<td align="center" valign="top">&#x02265;90</td>
</tr>
<tr>
<td align="left" valign="top">Chineses</td>
<td align="center" valign="top">&#x02265;85</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top">Middle East, Mediterranean</td>
<td align="center" valign="top">&#x02265;94</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top">Sub-Saharan Africa</td>
<td align="center" valign="top">&#x02265;94</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
<tr>
<td align="left" valign="top">Central and South America</td>
<td align="center" valign="top">&#x02265;90</td>
<td align="center" valign="top">&#x02265;80</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="S2-1">
<title>Study Design and Patient Population</title>
<p>A cross-sectional, consecutive, single-center study was carried out at the Epilepsy Outpatient Clinic, Hospital de Cl&#x000ED;nicas de Porto Alegre. This is a tertiary hospital located in the Southern region of Brazil. Porto Alegre is the capital of Rio Grande do Sul State, with a population of 1,416,735 individuals distributed in an area of 496.8&#x02009;km<sup>2</sup>. A large fraction of the State population consists of Caucasian European immigrants, e.g., German, Italian, and Portuguese ones.</p>
<p>Patients were eligible if older than 18&#x02009;years of age, received a definite diagnosis of epilepsy, attended to the center for 6&#x02009;months or more and had used antiepileptic drugs (AEDs) for at least 1&#x02009;year. We excluded patients with major adverse cardiovascular events (myocardial infarction, ischemic stroke, revascularization procedures) since, by definition, these patients had high cardiovascular risk (<xref ref-type="bibr" rid="B21">21</xref>). Patients with cerebrovascular disorders presumed to be of atherosclerotic origin (i.e., asymptomatic carotid stenosis) were also excluded. Other kinds of cerebrovascular disorders (e.g., arteriovenous malformations, aneurysms) were included. The inability to obtain accurate biometrical data was also an exclusion criterion. Personal demographic data (age, sex, ethnicity, disability) were derived from medical records, and when unavailable, from clinical interview with patients or their proxies. Electronic medical records were reviewed on a weekly basis. Subjects were recruited by phone or personal contact before routine medical visits. The study was approved by the Ethics Committee of our Institutional Review Board (GPPG-HCPA; Approval Protocol Number: 110311) and is fully compliant with the Declaration of Helsinki. All individuals enrolled in the study, or their legal proxies, gave written informed consent prior to their inclusion, and were free to withdraw such consent at any given time.</p>
</sec>
<sec id="S2-2">
<title>Variables and Clinical Assessments</title>
<p>All clinical assessments were performed as recommended elsewhere (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). After data collection, the investigators were blinded to the results and then received anonymous data to classify the patients according to the five MetS criteria. Diagnostic yield and accuracy parameters were estimated for each criterion. Epilepsy syndromes were classified according to ILAE recommendations (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Epilepsy cause, treatment, control, and duration were also investigated. Electronic medical records were reviewed for EEGs and neuroimaging studies. Seizures were deemed controlled if the current interictal period was greater than 1&#x02009;year. Population-specific thresholds for increased waist circumference were set at 80&#x02009;cm for females and 90&#x02009;cm for males (<xref ref-type="bibr" rid="B19">19</xref>). Anthropometric measuring devices and sphygmomanometers were checked biweekly and calibrated as needed. Regular physical exercise was defined as at least 12 MET-hours per week (<xref ref-type="bibr" rid="B26">26</xref>). All blood samples were obtained at 8:00 a.m. after an overnight fasting, and handled independently by the central laboratory. Missing data were handled by deleting the given case from final analysis.</p>
</sec>
<sec id="S2-3">
<title>Sample Size Determination and Statistical Analysis</title>
<p>We used as gold standard the harmonized criteria to perform diagnostic of MetS in patients with epilepsy (IDF/NHLBI/AHA/WHF/IAS/IASO) (<xref ref-type="bibr" rid="B20">20</xref>). We hypothesized that at least one criteria would show significantly different sensitivity, specificity, or predictive values from harmonized criteria. Based on data from previous reports, we estimated a sample size of at least 88 participants to reject the null hypothesis with 0.8 probability (<xref ref-type="bibr" rid="B27">27</xref>). Categorical data were expressed as counts (%), and continuous data as mean (&#x000B1;SD). Since MetS is a clinical diagnosis, the harmonized criterion was elected as the reference standard, in accordance to previous recommendations (<xref ref-type="bibr" rid="B28">28</xref>); unadjusted and adjusted sensitivities, specificities, and predictive values were plotted using the random effects model. Specific reporting are in agreement with Standards for Reporting Diagnostic Accuracy (STARD) statement when applicable (<xref ref-type="bibr" rid="B29">29</xref>). The area under the receiver operating characteristic curve (ROC curve) was estimated to further compare MetS criteria other than harmonized criteria (<xref ref-type="bibr" rid="B30">30</xref>). Cohen&#x02019;s kappa or McNemar test was used to evaluate concordance of different MetS criteria with the harmonized reference, when appropriate. Other categorical variables were compared using the chi-square or Fisher&#x02019;s exact test, and continuous data were compared using one-way ANOVA or the Kruskal&#x02013;Wallis test (with subsequent <italic>post hoc</italic> tests). All tests were two-sided and all statistics were performed using SPSS Statistics 19.0 and MedCalc 16.4. A <italic>p-</italic>value less than 0.05 was considered significant.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<p>A total of 752 patients with epilepsy attended the outpatient clinic over a period of 22&#x02009;weeks (from February to July 2011). Ninety-five patients fulfilled the inclusion criteria and agreed to participate in the study. In five cases, the laboratory samples were not handled properly, so part of their data were unavailable for analysis. One patient withdrew consent to the use of his biochemical data, totaling 89 patients available for MetS evaluation (Figure <xref ref-type="fig" rid="F1">1</xref>). No adverse effects were noted during data collection. Clinical and demographic characteristics of the patients are presented in Table <xref ref-type="table" rid="T5">5</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flowcharts of the selection of patients and classification according with different metabolic syndrome (MetS) criteria.</p></caption>
<graphic xlink:href="fneur-08-00460-g001.tif"/>
</fig>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Demographic and clinical characteristics of the patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">All subjects (<italic>n</italic>&#x02009;&#x0003D;&#x02009;95)<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></th>
<th valign="top" align="center" colspan="2">Patients evaluated with harmonized criteria (<italic>n</italic>&#x02009;&#x0003D;&#x02009;89)<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref><hr/></th>
<th valign="top" align="center"><italic>p-</italic>Value</th>
</tr>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">With MetS (<italic>n</italic>&#x02009;&#x0003D;&#x02009;44)</th>
<th valign="top" align="center">Without MetS (<italic>n</italic>&#x02009;&#x0003D;&#x02009;45)</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">45.9&#x02009;&#x000B1;&#x02009;15.3</td>
<td align="center" valign="top">50.41&#x02009;&#x0002B;&#x02009;15.4</td>
<td align="center" valign="top">43.04&#x02009;&#x000B1;&#x02009;14.3</td>
<td align="center" valign="top">0.022</td>
</tr>
<tr>
<td align="left" valign="top">Sex ratio (M/F)</td>
<td align="center" valign="top">35/60</td>
<td align="center" valign="top">16/28</td>
<td align="center" valign="top">16/29</td>
<td align="center" valign="top">0.937</td>
</tr>
<tr>
<td align="left" valign="top">Caucasians</td>
<td align="center" valign="top">86 (90.5%)</td>
<td align="center" valign="top">40 (90.5%)</td>
<td align="center" valign="top">41 (91.1%)</td>
<td align="center" valign="top">0.973</td>
</tr>
<tr>
<td align="left" valign="top">Current smoker</td>
<td align="center" valign="top">15 (15.8%)</td>
<td align="center" valign="top">8 (18.2%)</td>
<td align="center" valign="top">7 (15.6%)</td>
<td align="center" valign="top">0.784</td>
</tr>
<tr>
<td align="left" valign="top">Regular alcohol intake</td>
<td align="center" valign="top">24 (25.3%)</td>
<td align="center" valign="top">13 (29.5%)</td>
<td align="center" valign="top">9 (20.0%)</td>
<td align="center" valign="top">0.334</td>
</tr>
<tr>
<td align="left" valign="top">Regular physical exercise</td>
<td align="center" valign="top">37 (38.9%)</td>
<td align="center" valign="top">21 (47.7%)</td>
<td align="center" valign="top">14 (31.1%)</td>
<td align="center" valign="top">0.132</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Major epileptic syndrome</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Generalized</td>
<td align="center" valign="top">8 (8.4%)</td>
<td align="center" valign="top">5 (11.4%)</td>
<td align="center" valign="top">3 (6.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Focal</td>
<td align="center" valign="top">84 (88.4%)</td>
<td align="center" valign="top">38 (86.4%)</td>
<td align="center" valign="top">40 (88.9%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Unknown</td>
<td align="center" valign="top">3 (3.2%)</td>
<td align="center" valign="top">1 (2.2%)</td>
<td align="center" valign="top">2 (4.4%)</td>
<td align="center" valign="top">0.646</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Epilepsy etiology</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Unknown</td>
<td align="center" valign="top">46 (48.4%)</td>
<td align="center" valign="top">22 (50.0%)</td>
<td align="center" valign="top">23 (51.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">CNS infections</td>
<td align="center" valign="top">17 (17.9%)</td>
<td align="center" valign="top">6 (13.6%)</td>
<td align="center" valign="top">10 (22.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Cerebrovascular diseases<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">16 (16.8%)</td>
<td align="center" valign="top">10 (22.7%)</td>
<td align="center" valign="top">5 (11.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Brain trauma</td>
<td align="center" valign="top">5 (5.3%)</td>
<td align="center" valign="top">2 (4.5%)</td>
<td align="center" valign="top">2 (4.4%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Mesial hippocampal sclerosis</td>
<td align="center" valign="top">5 (5.3%)</td>
<td align="center" valign="top">2 (4.5%)</td>
<td align="center" valign="top">2 (4.4%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">CNS neoplasms</td>
<td align="center" valign="top">2 (2.1%)</td>
<td align="center" valign="top">1 (2.3%)</td>
<td align="center" valign="top">1 (2.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Other disorders<xref ref-type="table-fn" rid="tfn3"><sup>c</sup></xref></td>
<td align="center" valign="top">4 (4.2%)</td>
<td align="center" valign="top">1 (2.3%)</td>
<td align="center" valign="top">2 (4.4%)</td>
<td align="center" valign="top">0.807</td>
</tr>
<tr>
<td align="left" valign="top">Epilepsy duration (years)</td>
<td align="center" valign="top">25.5&#x02009;&#x000B1;&#x02009;16.2</td>
<td align="center" valign="top">26.4&#x02009;&#x0002B;&#x02009;17.1</td>
<td align="center" valign="top">25.3&#x02009;&#x000B1;&#x02009;15.5</td>
<td align="center" valign="top">0.766</td>
</tr>
<tr>
<td align="left" valign="top">Seizure freedom</td>
<td align="center" valign="top">45 (47.4%)</td>
<td align="center" valign="top">20 (45.5%)</td>
<td align="center" valign="top">22 (48.5%)</td>
<td align="center" valign="top">0.833</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Current pharmacotherapy</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Monotherapy</td>
<td align="center" valign="top">52 (54.7%)</td>
<td align="center" valign="top">26 (59.1%)</td>
<td align="center" valign="top">23 (51.1%)</td>
<td align="center" valign="top">0.525</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Time on antiepileptic drug (AED)</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x0003E;120&#x02009;months</td>
<td align="center" valign="top">75 (78.9%)</td>
<td align="center" valign="top">35 (79.5%)</td>
<td align="center" valign="top">36 (80.0%)</td>
<td align="center" valign="top">0.957</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Specific AED info</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">On carbamazepine</td>
<td align="center" valign="top">67 (70.5%)</td>
<td align="center" valign="top">27 (61.4%)</td>
<td align="center" valign="top">34 (75.6%)</td>
<td align="center" valign="top">0.175</td>
</tr>
<tr>
<td align="left" valign="top">Mean dose (mg/day)</td>
<td align="center" valign="top">900.0&#x02009;&#x000B1;&#x02009;371.3</td>
<td align="center" valign="top">940.8&#x02009;&#x000B1;&#x02009;322.5</td>
<td align="center" valign="top">879.4&#x02009;&#x000B1;&#x02009;416/2</td>
<td align="center" valign="top">0.531</td>
</tr>
<tr>
<td align="left" valign="top">On valproic acid</td>
<td align="center" valign="top">15 (15.8%)</td>
<td align="center" valign="top">8 (18.2%)</td>
<td align="center" valign="top">7 (15.6%)</td>
<td align="center" valign="top">0.784</td>
</tr>
<tr>
<td align="left" valign="top">Mean dose (mg/day)</td>
<td align="center" valign="top">983.3&#x02009;&#x000B1;&#x02009;258.2</td>
<td align="center" valign="top">968.8&#x02009;&#x000B1;&#x02009;160.2</td>
<td align="center" valign="top">1,000.0&#x02009;&#x000B1;&#x02009;353.5</td>
<td align="center" valign="top">0.825</td>
</tr>
<tr>
<td align="left" valign="top">On phenytoin</td>
<td align="center" valign="top">13 (13.7%)</td>
<td align="center" valign="top">4 (9.1%)</td>
<td align="center" valign="top">9 (20.0%)</td>
<td align="center" valign="top">0.230</td>
</tr>
<tr>
<td align="left" valign="top">Mean dose (mg/day)</td>
<td align="center" valign="top">303.9&#x02009;&#x000B1;&#x02009;43.1</td>
<td align="center" valign="top">275.0&#x02009;&#x000B1;&#x02009;50.0</td>
<td align="center" valign="top">316.7&#x02009;&#x000B1;&#x02009;35.3</td>
<td align="center" valign="top">0.110</td>
</tr>
<tr>
<td align="left" valign="top">On phenobarbital</td>
<td align="center" valign="top">26 (27.4%)</td>
<td align="center" valign="top">10 (43.5%)</td>
<td align="center" valign="top">13 (56.5%)</td>
<td align="center" valign="top">0.629</td>
</tr>
<tr>
<td align="left" valign="top">Mean dose (mg/day)</td>
<td align="center" valign="top">130&#x02009;&#x000B1;&#x02009;54</td>
<td align="center" valign="top">150.0&#x02009;&#x000B1;&#x02009;75</td>
<td align="center" valign="top">123.1&#x02009;&#x000B1;&#x02009;38.8</td>
<td align="center" valign="top">0.282</td>
</tr>
<tr>
<td align="left" valign="top">On other AED<xref ref-type="table-fn" rid="tfn4"><sup>d</sup></xref></td>
<td align="center" valign="top">8 (8.4%)</td>
<td align="center" valign="top">5 (11.4%)</td>
<td align="center" valign="top">3 (6.7%)</td>
<td align="center" valign="top">0.048</td>
</tr>
<tr>
<td align="left" valign="top">On any benzodiazepine</td>
<td align="center" valign="top">21 (22.1)</td>
<td align="center" valign="top">11 (25.0%)</td>
<td align="center" valign="top">10 (22.2%)</td>
<td align="center" valign="top">0.807</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Other medical disorders</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Any chronic disorder<xref ref-type="table-fn" rid="tfn5"><sup>e</sup></xref></td>
<td align="center" valign="top">45 (47.4%)</td>
<td align="center" valign="top">26 (59.1%)</td>
<td align="center" valign="top">18 (40%)</td>
<td align="center" valign="top">0.091</td>
</tr>
<tr>
<td align="left" valign="top">On antihypertensives</td>
<td align="center" valign="top">28 (29.5%)</td>
<td align="center" valign="top">20 (45.5%)</td>
<td align="center" valign="top">7 (15/6%)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">On antidiabetics</td>
<td align="center" valign="top">5 (5.3%)</td>
<td align="center" valign="top">5 (11.4%)</td>
<td align="center" valign="top">0 (0%)</td>
<td align="center" valign="top">0.026</td>
</tr>
<tr>
<td align="left" valign="top">On statins</td>
<td align="center" valign="top">17 (17.9%)</td>
<td align="center" valign="top">15 (34.1%)</td>
<td align="center" valign="top">2 (4.4%)</td>
<td align="center" valign="top">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Psychiatric comorbidities</bold></td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Any psychiatric disorder</td>
<td align="center" valign="top">41 (43.2%)</td>
<td align="center" valign="top">23 (52.3%)</td>
<td align="center" valign="top">15 (33.3%)</td>
<td align="center" valign="top">0.088</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>CNS, central nervous system; AED, antiepileptic drug(s)</italic>.</p>
<fn id="tfn1"><p><italic><sup>a</sup>Laboratory data unavailable for six patients</italic>.</p></fn>
<fn id="tfn2"><p><italic><sup>b</sup>Excluding ischemic stroke of definite or presumed atherosclerotic etiology</italic>.</p></fn>
<fn id="tfn3"><p><italic><sup>c</sup>Single cases of cerebral lipomatosis, toluene-induced brain damage, non-ketotic hyperhyperglucemia</italic>.</p></fn>
<fn id="tfn4"><p><italic><sup>d</sup>Lamotrigine, oxcarbazepine, primidone, topiramate</italic>.</p></fn>
<fn id="tfn5"><p><italic><sup>e</sup>Excluding hypertension, elevated fasting glucose, impaired glucose tolerance, dyslipidemia, obesity, smoking and alcohol abuse</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3-1">
<title>Epilepsy-Related Features</title>
<p>In our sample, 88.4% of patients presented focal epilepsy, with a mean duration of approximately 25&#x02009;years. A composite of unknown causes (48.4%), infections (17.9%), and cerebrovascular disorders (16.8%) accounted for most causes of epilepsy. Neurocysticercosis (<italic>n</italic>&#x02009;&#x0003D;&#x02009;12) and pneumococcal meningitis (<italic>n</italic>&#x02009;&#x0003D;&#x02009;2) were the most common infectious causes. In line with the predominance of focal epilepsy, more individuals were on carbamazepine than on valproic acid (70.1 vs 15.8%, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.02). About half of the patients were seizure-free at the study time. Patients on monotherapy showed statistical trend for seizure control when compared with patients on polytherapy (55.8 vs 37.2%, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.055).</p>
</sec>
<sec id="S3-2">
<title>General Medical Conditions</title>
<p>The average occurrence of general medical and psychiatric comorbidities was 50% each. Hypertension (40%) was significantly more prevalent than any other comorbidity. Diabetes was detected in 8 (8.4%) patients, and all of them were in the MetS group, as expected. The use of antihypertensive (45.5 vs 15.6%, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.003), antidiabetics (11.4 vs 0%, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.026), and statins (34.1 vs 4.4%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001) were more common in the MetS group. Overall, psychiatric comorbidities were observed in 41 (43.2%) of patients, with no differences between patients with MetS and without MetS (52.3 vs 33.3%, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.088).</p>
</sec>
<sec id="S3-3">
<title>Diagnostic Yield and Accuracy</title>
<p>The reference criterion, the harmonized criterion, identified 44 individuals with MetS. MetS prevalence ranged from 33.7% (AACE) to 49.4% (harmonized criterion), a statistically significant difference (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.005) (Table <xref ref-type="table" rid="T6">6</xref>). It is of note that even ATP3 or AHA/NHLBI criteria also were unable to identify 9 and 7 MetS cases each, and so disclosed significantly lower prevalence of MetS than the reference harmonized criterion (39.3 vs 49.4%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.005 and 41.6 vs 49.4%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.02, respectively).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Diagnostic accuracy of different metabolic syndrome criteria in 89 patients with epilepsy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center" colspan="4">Accuracy, % (95% CI)<hr/></th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Criteria</th>
<th valign="top" align="center">TP</th>
<th valign="top" align="center">FP</th>
<th valign="top" align="center">FN</th>
<th valign="top" align="center">TN</th>
<th valign="top" align="center">Sensitivity</th>
<th valign="top" align="center">Specificity</th>
<th valign="top" align="center">PPV</th>
<th valign="top" align="center">NPV</th>
<th valign="top" align="center">AUC (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ATP3 2002</td>
<td align="center" valign="top">35 (39.3)<xref ref-type="table-fn" rid="tfn6"><sup>a</sup></xref></td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">79.5 (64.7&#x02013;90.2)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">100 (92.1&#x02013;100)</td>
<td align="center" valign="top">98.6 (88.2&#x02013;100)</td>
<td align="center" valign="top">82.7 (75.9&#x02013;83.6)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">0.89 (0.82&#x02013;0.97)</td>
</tr>
<tr>
<td align="left" valign="top">American Association of Clinical Endocrinologists 2003</td>
<td align="center" valign="top">30 (33.7)<xref ref-type="table-fn" rid="tfn6"><sup>a</sup></xref></td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">68.2 (52.4&#x02013;81.4)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">97.8 (88.2&#x02013;99.9)</td>
<td align="center" valign="top">96.7 (83.3&#x02013;99.9)</td>
<td align="center" valign="top">75.8 (62.3&#x02013;86.1)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">0.83 (0.73&#x02013;0.92)</td>
</tr>
<tr>
<td align="left" valign="top">International Diabetes Federation 2005</td>
<td align="center" valign="top">42 (47.2)</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">95.5 (84.5&#x02013;99.4)</td>
<td align="center" valign="top">97.8 (88.2&#x02013;99.9)</td>
<td align="center" valign="top">96.6 (87.7&#x02013;99.9)</td>
<td align="center" valign="top">95.7 (85.2&#x02013;99.5)</td>
<td align="center" valign="top">0.96 (0.86&#x02013;1.0)</td>
</tr>
<tr>
<td align="left" valign="top">AHA/NHLBI 2005</td>
<td align="center" valign="top">37 (41.6)<xref ref-type="table-fn" rid="tfn7"><sup>b</sup></xref></td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">84.1 (69.9&#x02013;93.4)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">100 (92.1&#x02013;100)</td>
<td align="center" valign="top">100 (90.5&#x02013;100)</td>
<td align="center" valign="top">86.6 (74.2&#x02013;94.4)<xref ref-type="table-fn" rid="tfn8"><sup>c</sup></xref></td>
<td align="center" valign="top">0.92 (0.85&#x02013;0.98)</td>
</tr>
<tr>
<td align="left" valign="top">Harmonized</td>
<td align="center" valign="top">44 (49.4)</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
<td align="center" valign="top">&#x02013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>TP, true positives; FP, false positives; FN, false negatives; TN, true negatives; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the receiver operating characteristic curve</italic>.</p>
<fn id="tfn6"><p><italic><sup>a</sup>p&#x02009;&#x0003C;&#x02009;0.005</italic>.</p></fn>
<fn id="tfn7"><p><italic><sup>b</sup>p&#x02009;&#x0003C;&#x02009;0.02</italic>.</p></fn>
<fn id="tfn8"><p><italic><sup>c</sup>p&#x02009;&#x0003C;&#x02009;0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Figure <xref ref-type="fig" rid="F2">2</xref> is showing tabulation and graphical plots of sensitivities and specificities for different criteria analyzed. Regarding sensitivity, the IDF criterion showed the highest value [<italic>S</italic>&#x02009;&#x0003D;&#x02009;95.5% (95% CI) 84.5&#x02013;99.4%], and all criteria showed significantly lower sensitivities when compared to the harmonized one. On further analysis, the IDF criterion also showed a significantly higher sensitivity than the AACE criterion (95.5 vs 68.2%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05). Unadjusted analysis showed that both the ATP3 (79.5%) and AHA/NHLBI (84.1%) criteria had significantly higher sensitivities than the AACE criterion (68.2%), but this significance was lost after adjustment. All criteria showed similarly high specificities and positive predictive values (<italic>p</italic>&#x02009;&#x0003E;&#x02009;0.5).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Tabulation and graphical plot of sensitivities and specificities.</p></caption>
<graphic xlink:href="fneur-08-00460-g002.tif"/>
</fig>
<p>The negative predictive value (NPV) of IDF (94.7%) outperformed all other definitions (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05). IDF and AHA/NHLBI definition also showed higher NPV than AACE (95.7 and 85.8 vs 75.8%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05), but again, significance was lost after adjustment. In terms of overall performance of the definitions, the area under the ROC curve (AUC) varied from 0.83 (0.73&#x02013;0.92) in the AACE definition to 0.96 (0.86&#x02013;1.0) in the IDF definition. Further exploratory analysis showed that when diabetic patients were not excluded in the AACE definition (as default), the NPV overlapped with all others (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.65). The inter-definition agreement was more robust for the IDF criterion, but remained significant for all definitions, as can be seen on Table <xref ref-type="table" rid="T7">7</xref>. Figure <xref ref-type="fig" rid="F3">3</xref> is showing ROC curve for all criteria studied, and we performed a statistical analysis comparing all AUC with the AUC for harmonized criterion used as reference. This analysis showed that AUC for IDF criterion was 0.966, and it was not different from AUC of harmonized criterion (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.092). On the other hand, the use of the other three criteria for MetS resulted in significantly lower performance, with AUC for AHA/NHLBI&#x02009;&#x0003D;&#x02009;0.920 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0147), NCEP/ATP3&#x02009;&#x0003D;&#x02009;0.898 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0067), AACE&#x02009;&#x0003D;&#x02009;0.830 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.00059) when compared with harmonized criterion.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Inter-definition agreement for metabolic syndrome diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Criteria</th>
<th valign="top" align="center">Kappa</th>
<th valign="top" align="center"><italic>p-</italic>Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ATP3 2002</td>
<td align="center" valign="top">0.797</td>
<td align="center" valign="top">&#x0003C;0.001<xref ref-type="table-fn" rid="tfn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">American Association of Clinical Endocrinologists 2003</td>
<td align="center" valign="top">0.662</td>
<td align="center" valign="top">&#x0003C;0.001<xref ref-type="table-fn" rid="tfn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">International Diabetes Federation 2005</td>
<td align="center" valign="top">0.933</td>
<td align="center" valign="top">&#x0003C;0.001<xref ref-type="table-fn" rid="tfn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">AHA/NHLBI 2005</td>
<td align="center" valign="top">0.842</td>
<td align="center" valign="top">&#x0003C;0.001<xref ref-type="table-fn" rid="tfn9"><sup>a</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn9"><p><italic><sup>a</sup>All comparisons with harmonized criteria</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Receiver operating characteristic curve for all criteria studied. Statistical analysis comparing all area under curve (AUC) with the AUC for harmonized criterion, used as reference. AUC for International Diabetes Federation (IDF) criterion was 0.966, and it was not different from AUC of harmonized criterion (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.092). On the other hand, the use of the other three criteria for MetS resulted in significantly lower performance, with AUC for AHA/NHLBI&#x02009;&#x0003D;&#x02009;0.920 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0147), NCEP/ATP3&#x02009;&#x0003D;&#x02009;0.898 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0067), American Association of Clinical Endocrinologists (AACE)&#x02009;&#x0003D;&#x02009;0.830 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.00059) when compared with harmonized criterion.</p></caption>
<graphic xlink:href="fneur-08-00460-g003.tif"/>
</fig>
</sec>
<sec id="S3-4">
<title>MetS Individual Components Analysis</title>
<p>In our patients, the prevalence of obesity ranged from 53.9% (according to ATP3 and AHA/NHLBI criterion) to 79.8% (according to the IDF criterion) (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). Fewer individuals fulfilled the ATP3 dysglycemia criterion (12.4%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001) and AACE (16.9%, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.02) when compared with the harmonized definition (30.3%) (Table <xref ref-type="table" rid="T8">8</xref>). The oral glucose tolerance test (OGTT) was necessary to correctly classify six patients, but it changed AACE classification in only three patients. Additional analyses of selected anthropometric and biochemical are shown in Table <xref ref-type="table" rid="T9">9</xref>.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Individual component prevalence analysis for different metabolic syndrome (MetS) criteria.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" rowspan="2"/>
<th valign="top" align="center" colspan="5">Criteria for MetS<hr/></th>
</tr>
<tr>
<th valign="top" align="center">ATP3, 2002</th>
<th valign="top" align="center">International Diabetes Federation, 2005</th>
<th valign="top" align="center">American Association of Clinical Endocrinologists, 2003</th>
<th valign="top" align="center">AHA/NHLBI, 2005</th>
<th valign="top" align="center">Harmonized, 2009</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6"><bold>Specific component</bold></td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">Obesity</td>
<td align="center" valign="top">48 (53.9%)<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">71 (79.8%)</td>
<td align="center" valign="top">62 (69.7%)</td>
<td align="center" valign="top">48 (53.9%)<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">70 (78.7%)</td>
</tr>
<tr>
<td align="left" valign="top">HDL-C</td>
<td align="center" valign="top">38 (42.7%)</td>
<td align="center" valign="top">38 (42.7%)</td>
<td align="center" valign="top">38 (42.7%)</td>
<td align="center" valign="top">38 (42.7%)</td>
<td align="center" valign="top">38 (42.7%)</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides</td>
<td align="center" valign="top">31 (34.8%)</td>
<td align="center" valign="top">31 (34.8%)</td>
<td align="center" valign="top">31 (34.8%)</td>
<td align="center" valign="top">31 (34.8%)</td>
<td align="center" valign="top">31 (34.8%)</td>
</tr>
<tr>
<td align="left" valign="top">Dysglycemia</td>
<td align="center" valign="top">11 (12.4%)<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">28 (31.5%)</td>
<td align="center" valign="top">15 (16.9%)<xref ref-type="table-fn" rid="tfn11"><sup>b</sup></xref></td>
<td align="center" valign="top">27 (30.3%)</td>
<td align="center" valign="top">27 (30.3%)</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="center" valign="top">63 (70.8%)</td>
<td align="center" valign="top">62 (69.7%)</td>
<td align="center" valign="top">58 (65.2%)</td>
<td align="center" valign="top">63 (70.8%)</td>
<td align="center" valign="top">62 (69.7%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Partial analysis of metabolic syndrome diagnosis</bold></td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top">No component</td>
<td align="center" valign="top">12 (13.5%)</td>
<td align="center" valign="top">9 (10.1%)</td>
<td align="center" valign="top">9 (10.1%)</td>
<td align="center" valign="top">11 (12.4%)</td>
<td align="center" valign="top">11 (12.4%)</td>
</tr>
<tr>
<td align="left" valign="top">One component</td>
<td align="center" valign="top">22 (24.7%)<xref ref-type="table-fn" rid="tfn12"><sup>c</sup></xref></td>
<td align="center" valign="top">12 (13.5%)</td>
<td align="center" valign="top">16 (18%)</td>
<td align="center" valign="top">21 (23.6%)<xref ref-type="table-fn" rid="tfn12"><sup>c</sup></xref></td>
<td align="center" valign="top">10 (11.2%)</td>
</tr>
<tr>
<td align="left" valign="top">Two components</td>
<td align="center" valign="top">20 (22.5%)</td>
<td align="center" valign="top">25 (28.1%)</td>
<td align="center" valign="top">26 (29.2%)</td>
<td align="center" valign="top">20 (22.5%)</td>
<td align="center" valign="top">24 (27%)</td>
</tr>
<tr>
<td align="left" valign="top">Mean number of components</td>
<td align="center" valign="top">2.13&#x02009;&#x000B1;&#x02009;1.43<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">2.57&#x02009;&#x000B1;&#x02009;1.5</td>
<td align="center" valign="top">2.28&#x02009;&#x000B1;&#x02009;1.34<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">2.32&#x02009;&#x000B1;&#x02009;1.58<xref ref-type="table-fn" rid="tfn10"><sup>a</sup></xref></td>
<td align="center" valign="top">2.56&#x02009;&#x000B1;&#x02009;1.52</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>HDL-C, high-density lipoprotein cholesterol</italic>.</p>
<p><italic>All comparisons related to the harmonized criteria</italic>.</p>
<fn id="tfn10"><p><italic><sup>a</sup>p&#x02009;&#x0003C;&#x02009;0.001</italic>.</p></fn>
<fn id="tfn11"><p><italic><sup>b</sup>p&#x02009;&#x0003C;&#x02009;0.02</italic>.</p></fn>
<fn id="tfn12"><p><italic><sup>c</sup>p&#x02009;&#x0003C;&#x02009;0.005</italic>.</p></fn></table-wrap-foot></table-wrap>
<table-wrap position="float" id="T9">
<label>Table 9</label>
<caption><p>Selected clinical and laboratory measurements for cardiovascular assessment.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center" colspan="3">Weight classification<hr/></th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">SBP (mmHg)</th>
<th valign="top" align="center">DBP (mmHg)</th>
<th valign="top" align="center">T2DM (%)</th>
<th valign="top" align="center">IFG (%)</th>
<th valign="top" align="center">Fasting glucose (mg/dL)</th>
<th valign="top" align="center">BMI (kg/m<sup>2</sup>)</th>
<th valign="top" align="center">Normal weight</th>
<th valign="top" align="center">OW</th>
<th valign="top" align="center">Obesity class I/II</th>
<th valign="top" align="center">Waist (cm)</th>
<th valign="top" align="center">TG (mg/dL)</th>
<th valign="top" align="center">Total-C (mg/dL)</th>
<th valign="top" align="center">HDL-C (mg/dL)</th>
<th valign="top" align="center">LDL-C (mg/dL)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">All patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;95)</td>
<td align="center" valign="top">135.4&#x02009;&#x000B1;&#x02009;21.8</td>
<td align="center" valign="top">87&#x02009;&#x000B1;&#x02009;14.1</td>
<td align="center" valign="top">8.4</td>
<td align="center" valign="top">22.2</td>
<td align="center" valign="top">100.8&#x02009;&#x000B1;&#x02009;32.7</td>
<td align="center" valign="top">27&#x02009;&#x000B1;&#x02009;5.1</td>
<td align="center" valign="top">41.1</td>
<td align="center" valign="top">33.7</td>
<td align="center" valign="top">25.2</td>
<td align="center" valign="top">95.3&#x02009;&#x000B1;&#x02009;14.3</td>
<td align="center" valign="top">149.3&#x02009;&#x000B1;&#x02009;112.7</td>
<td align="center" valign="top">197.5&#x02009;&#x000B1;&#x02009;40</td>
<td align="center" valign="top">53.5&#x02009;&#x000B1;&#x02009;18.4</td>
<td align="center" valign="top">113.7&#x02009;&#x000B1;&#x02009;33.6</td>
</tr>
<tr>
<td align="left" valign="top">Females (<italic>n</italic>&#x02009;&#x0003D;&#x02009;60)</td>
<td align="center" valign="top">137.6&#x02009;&#x000B1;&#x02009;21.4</td>
<td align="center" valign="top">86.8&#x02009;&#x000B1;&#x02009;13.6</td>
<td align="center" valign="top">6.7</td>
<td align="center" valign="top">22.4</td>
<td align="center" valign="top">97.3&#x02009;&#x000B1;&#x02009;27.4</td>
<td align="center" valign="top">27.3&#x02009;&#x000B1;&#x02009;5.75</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">26.7</td>
<td align="center" valign="top">28.4</td>
<td align="center" valign="top">95.3&#x02009;&#x000B1;&#x02009;15.3</td>
<td align="center" valign="top">141.3&#x02009;&#x000B1;&#x02009;97.4</td>
<td align="center" valign="top">197.6&#x02009;&#x000B1;&#x02009;41.1</td>
<td align="center" valign="top">56.3&#x02009;&#x000B1;&#x02009;20</td>
<td align="center" valign="top">112.5&#x02009;&#x000B1;&#x02009;36.6</td>
</tr>
<tr>
<td align="left" valign="top">Males (<italic>n</italic>&#x02009;&#x0003D;&#x02009;35)</td>
<td align="center" valign="top">131.7&#x02009;&#x000B1;&#x02009;22.3</td>
<td align="center" valign="top">87.3&#x02009;&#x000B1;&#x02009;15.1</td>
<td align="center" valign="top">11.4</td>
<td align="center" valign="top">21.9</td>
<td align="center" valign="top">106&#x02009;&#x000B1;&#x02009;40.3</td>
<td align="center" valign="top">26.5&#x02009;&#x000B1;&#x02009;3.8</td>
<td align="center" valign="top">34.3</td>
<td align="center" valign="top">45.7</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">95.1&#x02009;&#x000B1;&#x02009;12.65</td>
<td align="center" valign="top">163.7&#x02009;&#x000B1;&#x02009;136.3</td>
<td align="center" valign="top">198.7&#x02009;&#x000B1;&#x02009;38.6</td>
<td align="center" valign="top">48.5&#x02009;&#x000B1;&#x02009;14.1<xref ref-type="table-fn" rid="tfn13"><sup>a</sup></xref></td>
<td align="center" valign="top">115.9&#x02009;&#x000B1;&#x02009;27.9</td>
</tr>
<tr>
<td align="left" valign="top">MetS (<italic>n</italic>&#x02009;&#x0003D;&#x02009;44)</td>
<td align="center" valign="top">140.3&#x02009;&#x000B1;&#x02009;23.8</td>
<td align="center" valign="top">89.8&#x02009;&#x000B1;&#x02009;14.5</td>
<td align="center" valign="top">18.2</td>
<td align="center" valign="top">54.5</td>
<td align="center" valign="top">112.7&#x02009;&#x000B1;&#x02009;43</td>
<td align="center" valign="top">29.4&#x02009;&#x000B1;&#x02009;5.1</td>
<td align="center" valign="top">20.5</td>
<td align="center" valign="top">36.4</td>
<td align="center" valign="top">43.2</td>
<td align="center" valign="top">102.5&#x02009;&#x000B1;&#x02009;14.7</td>
<td align="center" valign="top">212.6&#x02009;&#x000B1;&#x02009;119.3</td>
<td align="center" valign="top">206.8&#x02009;&#x000B1;&#x02009;37</td>
<td align="center" valign="top">44.2&#x02009;&#x000B1;&#x02009;15.2</td>
<td align="center" valign="top">119.5&#x02009;&#x000B1;&#x02009;27.7</td>
</tr>
<tr>
<td align="left" valign="top">No MetS (<italic>n</italic>&#x02009;&#x0003D;&#x02009;45)</td>
<td align="center" valign="top">132.4&#x02009;&#x000B1;&#x02009;19.5</td>
<td align="center" valign="top">85&#x02009;&#x000B1;&#x02009;12.9</td>
<td align="center" valign="top">Zero<xref ref-type="table-fn" rid="tfn14"><sup>b</sup></xref></td>
<td align="center" valign="top">2.2<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">89.1&#x02009;&#x000B1;&#x02009;7.1<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">24.9&#x02009;&#x000B1;&#x02009;4.1</td>
<td align="center" valign="top">57.8</td>
<td align="center" valign="top">33.3</td>
<td align="center" valign="top">8.8<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">88.7&#x02009;&#x000B1;&#x02009;10.6<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">87.4&#x02009;&#x000B1;&#x02009;59.7<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">189.3&#x02009;&#x000B1;&#x02009;41.2<xref ref-type="table-fn" rid="tfn16"><sup>d</sup></xref></td>
<td align="center" valign="top">62.6&#x02009;&#x000B1;&#x02009;16.7<xref ref-type="table-fn" rid="tfn15"><sup>c</sup></xref></td>
<td align="center" valign="top">108&#x02009;&#x000B1;&#x02009;37.9</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>SBP, systolic blood pressure; DBP, diastolic blood pressure; T2DM, type 2 dianbetes mellitus; IFG, impaired fasting glucose; BMI, body mass index; OW, overweight; TG, triglycerides; T-C, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol</italic>.</p>
<p><italic>For weight classification, values are expressed in percentage</italic>.</p>
<fn id="tfn13"><p><italic><sup>a</sup>p&#x02009;&#x0003D;&#x02009;0.049 vs females</italic>.</p></fn>
<fn id="tfn14"><p><italic><sup>b</sup><italic>p</italic>&#x02009;&#x0003D;&#x02009;0.003 vs patients with metabolic syndrome (MetS)</italic>.</p></fn>
<fn id="tfn15"><p><italic><sup>c</sup>p&#x02009;&#x0003C;&#x02009;0.001 vs patients with MetS</italic>.</p></fn>
<fn id="tfn16"><p><italic><sup>d</sup>p&#x02009;&#x0003D;&#x02009;0.039 vs patients with MetS</italic>.</p></fn></table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we estimated the prevalence of MetS according to five internationally accepted criteria and their diagnostic performance in a cohort of adult patients with epilepsy without previous major cardiovascular events. In these patients, we observed high rates of MetS, obesity, hypertension, and diabetes. Also, the AUC using IDF criterion was not different from AUC of harmonized criterion. On the other hand, the use of the other evaluated criteria for MetS resulted in significantly lower diagnostic performance. Thus, our findings suggest that the use of the harmonized or IDF criteria might result in higher detection rates of MetS in adult patients with epilepsy.</p>
<p>The present data showed that MetS prevalence varied between 33.7 and 49.4%, and it is variable according to the used criteria. Unadjusted prevalence in unselected adults vary between 34.8 and 45.9% (<xref ref-type="bibr" rid="B19">19</xref>). Neurologic publications found rates like 11.1% in a selected population of Korean women (<xref ref-type="bibr" rid="B11">11</xref>), 29.5% in an Indian population with higher valproate exposure and adapted ATP-3 criteria (<xref ref-type="bibr" rid="B14">14</xref>), and up to 43.5% in a highly selected cohort of overweight youngster using valproate evaluated by another adaptation of ATP3 criteria (<xref ref-type="bibr" rid="B12">12</xref>). As one struggles to draw valid conclusions when summarizing these studies, the strengths of our work start to become clear. First, it provides a common framework for comparison of different findings by diverse criteria and their inherent relationship. In fact, as far as we can track, the IDF and AACE definitions had not been formally applied in medical studies in patients with epilepsy, yet, and perhaps our data are able support the use of IDF definition better than AACE definition. Second, most patients included in our study were adults with focal epilepsies and most patients were using sodium channel inhibitors. Accordingly, TIGER team reports in the VA study showed that up to 80% of those who had epilepsy at age 65 or greater were on a similar therapeutic regimen, and that remained stable (<xref ref-type="bibr" rid="B31">31</xref>), an observation in line with our findings. Third, the underrepresentation of valproic acid in the sample helps to minimize potential bias for drug-induced metabolic changes. Fourth, we purposefully excluded patients with defined major adverse cardiovascular events or known high cardiovascular risk. Therefore, our findings might be more representative of the general epileptic population that would benefit from screening regarding MetS.</p>
<p>Our diagnostic accuracy analysis showed better performance of harmonized or IDF criteria for patients with epilepsy. In this venue, some observations are possible and need to be pointed out. The sensitivities observed varied from 68 to 95%; this implies that for each four given patients with MetS screened with the harmonized or IDF definitions, one would be missed by the AACE criteria. Besides that, in our study, IDF criteria showed the highest sensitivity and inter-definition agreement with the harmonized criteria. This is possibly related to the tighter cut offs for waist circumference (<xref ref-type="bibr" rid="B32">32</xref>), and a closer look at our population showed higher than expected values, especially in females. Lofgren and coworkers also found that epileptic women had higher risk of obesity, and that sedentarism and long-term use of AED were linked to higher BMI (<xref ref-type="bibr" rid="B33">33</xref>). Furthermore, the AACE criterion showed a low NPV (about 75%) in our population, which may hinder its clinical applicability. One possible explanation is the fact the AACE does not accept the coexistence of MetS and diabetes (<xref ref-type="bibr" rid="B17">17</xref>); the exploratory analysis showed above corroborates this proposition, and points out that OGTT adds little to the diagnosis. Taken together, these findings suggest that in patients with epilepsy, the AACE criterion should be used with more caution, especially in females, while the harmonized (and secondarily IDF) might be more suitable for the diagnosis of MetS.</p>
<p>The prevalence of MetS in Brazilian population is variable, and it has been underreported. In a recent systematic review, de Carvalho Vidigal et al. revised 10 cross sectional studies that reported a prevalence of MetS of 29.6%, ranging from 14.9 to 65.3% (<xref ref-type="bibr" rid="B34">34</xref>). In this study, the highest prevalence of MetS (65.3%) was found in an indigenous population, whereas the lowest prevalence of MS (14.9%) was reported in a rural area. The most frequent MetS components were low HDL-cholesterol (59.3%) and hypertension (52.5%). The two studies that evaluated urban population closer to our sample showed a prevalence of MetS that was variable from 35.9 to 43.2%. Silva et al. evaluated the prevalence of MetS in 287 adults from the urban region of the city of S&#x000E3;o Paulo using IDF criterion and observed an overall prevalence of 36.6% of MetS (<xref ref-type="bibr" rid="B35">35</xref>). In its turn, Gronner et al. evaluated 1,116 adults from S&#x000E3;o Carlos, a medium-size city in the State of Sao Paulo, using NCEP-ATPIII and IDF and observed an overall prevalence of 35.9 and 43.2%, respectively (<xref ref-type="bibr" rid="B36">36</xref>). These results overlap with our observations in patients with epilepsy and suggest that MetS is highly prevalent in Brazilian population and that might be also true for adult patients with epilepsy in Brazil. At this point, we cannot conclude that MetS is more prevalent in patients with epilepsy, when compared with controls without epilepsy. However, our results might suggest that MetS can be highly prevalent in adult patients with epilepsy, especially those living in developing regions of the world, and it might have impact in the health conditions of these patients. Further studies are clearly needed to evaluate the prevalence of MetS in patients with epilepsy, its variability according to world region, and its impact in health quality of these individuals.</p>
<p>Our study had methodological limitations that should be addressed. Besides those inherent to cross-sectional studies, the population characteristics hinder the applicability of our conclusions to youngsters and to those who already had their first atherothrombotic event. The absence of a control group also limits generalization of our findings and forbid any speculation how MetS might differ between epileptic and healthy subjects. We cannot firmly exclude that differences in etiologic evaluation could have led to some misclassification. Newer AEDs were underrepresented in out sample. Insulin kinetics parameters, as basal insulin levels and HOMA-IR, were not assessed. Diabetes was not exhaustively screened in all patients, a situation that may have changed since the recommendations for using HBA1C in routine practice (<xref ref-type="bibr" rid="B23">23</xref>). Finally, reference center selection bias and the lack of a control group preclude a definitive conclusion that all adult patients with epilepsy are at increased risk for MetS. Said that, it is worthwhile to mention that our work aimed primarily at providing answers for implementing future actions in clinical grounds. In that matter, it was not only successful but also the first study to provide a structured comparison of MetS criteria in the very special population of patients with epilepsy.</p>
</sec>
<sec id="S5">
<title>Conclusion</title>
<p>Our study was not adequate to access the real prevalence of MetS in all adult patients with epilepsy. As consequence, our data do not provide sufficient evidence to support the general incorporation of protocols for evaluating MetS in patients with epilepsy. However, we observed a higher prevalence of MetS and cardiovascular risk, irrespective of VPA use, in our cohort. Moreover, our study might suggest that harmonized or IDF criteria could present better sensitivity/specificity for evaluating these patients. However, further studies with large group of patients and adequate controls are necessary to evaluate the real prevalence of MetS in adult patients with epilepsy. For now, we believe that it is reasonable to alert physicians about the possibility of occurrence of MetS in patients with epilepsy and suggest that these patients should receive adequate evaluations, recommendations, and treatments. Additional prospective studies are necessary to confirm our preliminary observations as well as to broadly assess the clinical implications of our findings.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The study was approved by the Ethics Committee of our Institutional Review Board (GPPG-HCPA; Approval Protocol Number: 110311) and is fully compliant with the Declaration of Helsinki. All individuals enrolled in the study, or their legal proxies, gave written informed consent prior to their inclusion, and were free to withdraw such consent at any given time.</p>
</sec>
<sec id="S7" sec-type="author-contributor">
<title>Author Contributions</title>
<p>Conception and design of the work: LC, PC, MO, LB, CT, and MB. Acquisition, analysis, and interpretation of data for the work: LC, PC, MO, LB, CT, and MB. Drafting the work and revising the manuscript: LC, PC, MO, LB, CT, and MB. Final approval of the version to be published: LC, PC, MO, LB, CT, and MB.</p>
</sec>
<sec id="S8">
<title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was fully supported by the Brazilian Government research grant agencies CNPq, and FAPERGS. MB is further supported by CNPq (&#x00023;485423/2012-0, &#x00023;307084/2014-0) and PRONEM-FAPERGS/CNPq (&#x00023;11/2043.0). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1"><label>1</label><citation citation-type="book"><collab>WHO</collab>. <source>WHO Fact Sheet Epilepsy</source>. <publisher-name>WHO Media Centre</publisher-name> (<year>2009</year>). Available from: <uri xlink:href="http://www.who.int/mediacentre/factsheets/fs999/en">http://www.who.int/mediacentre/factsheets/fs999/en</uri></citation></ref>
<ref id="B2"><label>2</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lopez</surname> <given-names>AD</given-names></name> <name><surname>Mathers</surname> <given-names>CD</given-names></name> <name><surname>Ezzati</surname> <given-names>M</given-names></name> <name><surname>Jamison</surname> <given-names>DT</given-names></name> <name><surname>Murray</surname> <given-names>CJL</given-names></name></person-group>. <article-title>Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data</article-title>. <source>Lancet</source> (<year>2006</year>) <volume>367</volume>:<fpage>1754</fpage>&#x02013;<lpage>7</lpage>.<pub-id pub-id-type="doi">10.1016/S0140-6736(06)68770-9</pub-id></citation></ref>
<ref id="B3"><label>3</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reynolds</surname> <given-names>EH</given-names></name></person-group>. <article-title>The ILAE/IBE/WHO epilepsy global campaign history. International League Against Epilepsy. International Bureau for Epilepsy</article-title>. <source>Epilepsia</source> (<year>2002</year>) <volume>43</volume>(<issue>Suppl 6</issue>):<fpage>9</fpage>&#x02013;<lpage>11</lpage>.<pub-id pub-id-type="doi">10.1046/j.1528-1157.43.s.6.5.x</pub-id></citation></ref>
<ref id="B4"><label>4</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stavem</surname> <given-names>K</given-names></name> <name><surname>Bjornaes</surname> <given-names>H</given-names></name> <name><surname>Langmoen</surname> <given-names>IA</given-names></name></person-group>. <article-title>Long-term seizures and quality of life after epilepsy surgery compared with matched controls</article-title>. <source>Neurosurgery</source> (<year>2008</year>) <volume>62</volume>:<fpage>326</fpage>&#x02013;<lpage>34</lpage>.<pub-id pub-id-type="doi">10.1227/01.neu.0000315999.58022.1c</pub-id><pub-id pub-id-type="pmid">18382310</pub-id></citation></ref>
<ref id="B5"><label>5</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mcneill</surname> <given-names>AM</given-names></name> <name><surname>Rosamond</surname> <given-names>WD</given-names></name> <name><surname>Girman</surname> <given-names>CJ</given-names></name> <name><surname>Heiss</surname> <given-names>G</given-names></name> <name><surname>Golden</surname> <given-names>SH</given-names></name> <name><surname>Duncan</surname> <given-names>BB</given-names></name> <etal/></person-group> <article-title>Prevalence of coronary heart disease and carotid arterial thickening in patients with the metabolic syndrome (The ARIC Study)</article-title>. <source>Am J Cardiol</source> (<year>2004</year>) <volume>94</volume>:<fpage>1249</fpage>&#x02013;<lpage>54</lpage>.<pub-id pub-id-type="doi">10.1016/j.amjcard.2004.07.107</pub-id><pub-id pub-id-type="pmid">15541239</pub-id></citation></ref>
<ref id="B6"><label>6</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nilsson</surname> <given-names>L</given-names></name> <name><surname>Tomsom</surname> <given-names>T</given-names></name> <name><surname>Farahmand</surname> <given-names>BY</given-names></name> <name><surname>Diwan</surname> <given-names>V</given-names></name> <name><surname>Persson</surname> <given-names>PG</given-names></name></person-group>. <article-title>Cause-specific mortality in epilepsy: a cohort study of more than 9,000 patients once hospitalized for epilepsy</article-title>. <source>Epilepsia</source> (<year>1997</year>) <volume>38</volume>:<fpage>1062</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="doi">10.1111/j.1528-1157.1997.tb01194.x</pub-id><pub-id pub-id-type="pmid">9579951</pub-id></citation></ref>
<ref id="B7"><label>7</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gaitatzis</surname> <given-names>A</given-names></name> <name><surname>Carrol</surname> <given-names>K</given-names></name> <name><surname>Majeed</surname> <given-names>A</given-names></name> <name><surname>W Sander</surname> <given-names>J</given-names></name></person-group>. <article-title>The epidemiology of the comorbidity of epilepsy in the general population</article-title>. <source>Epilepsia</source> (<year>2004</year>) <volume>45</volume>:<fpage>1613</fpage>&#x02013;<lpage>22</lpage>.<pub-id pub-id-type="doi">10.1111/j.0013-9580.2004.17504.x</pub-id><pub-id pub-id-type="pmid">15571520</pub-id></citation></ref>
<ref id="B8"><label>8</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jansky</surname> <given-names>I</given-names></name> <name><surname>Hallqvist</surname> <given-names>J</given-names></name> <name><surname>Tomson</surname> <given-names>T</given-names></name> <name><surname>Ahlbom</surname> <given-names>A</given-names></name> <name><surname>Mukamal</surname> <given-names>KJ</given-names></name> <name><surname>Ahvne</surname> <given-names>S</given-names></name></person-group>. <article-title>Increased risk and worse prognosis of myocardial infarction in patients with prior hospitalization for epilepsy &#x02013; The Stockholm Heart Epidemiology Program</article-title>. <source>Brain</source> (<year>2009</year>) <volume>132</volume>:<fpage>2798</fpage>&#x02013;<lpage>804</lpage>.<pub-id pub-id-type="doi">10.1093/brain/awp216</pub-id></citation></ref>
<ref id="B9"><label>9</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lakka</surname> <given-names>HM</given-names></name> <name><surname>Laaksonen</surname> <given-names>DE</given-names></name> <name><surname>Lakka</surname> <given-names>TA</given-names></name> <name><surname>Niskanen</surname> <given-names>LK</given-names></name> <name><surname>Kumpusalo</surname> <given-names>E</given-names></name> <name><surname>Tuomilehto</surname> <given-names>J</given-names></name> <etal/></person-group> <article-title>The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men</article-title>. <source>JAMA</source> (<year>2002</year>) <volume>288</volume>:<fpage>2709</fpage>&#x02013;<lpage>16</lpage>.<pub-id pub-id-type="doi">10.1001/jama.288.21.2709</pub-id></citation></ref>
<ref id="B10"><label>10</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pylv&#x000E4;nen</surname> <given-names>V</given-names></name> <name><surname>Pakarinen</surname> <given-names>A</given-names></name> <name><surname>Knip</surname> <given-names>M</given-names></name> <name><surname>Isojarvi</surname> <given-names>J</given-names></name></person-group>. <article-title>Insulin-related metabolic changes during treatment with valproate in patients with epilepsy</article-title>. <source>Epilepsy Behav</source> (<year>2006</year>) <volume>8</volume>:<fpage>643</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="doi">10.1016/j.yebeh.2006.02.008</pub-id><pub-id pub-id-type="pmid">16600693</pub-id></citation></ref>
<ref id="B11"><label>11</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>JY</given-names></name> <name><surname>Lee</surname> <given-names>HW</given-names></name></person-group>. <article-title>Metabolic and hormonal disturbances in women with epilepsy on antiepileptic drug monotherapy</article-title>. <source>Epilepsia</source> (<year>2007</year>) <volume>48</volume>:<fpage>1366</fpage>&#x02013;<lpage>70</lpage>.<pub-id pub-id-type="doi">10.1111/j.1528-1167.2007.01052.x</pub-id><pub-id pub-id-type="pmid">17565596</pub-id></citation></ref>
<ref id="B12"><label>12</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Verrotti</surname> <given-names>A</given-names></name> <name><surname>Manco</surname> <given-names>R</given-names></name> <name><surname>Agostinelli</surname> <given-names>S</given-names></name> <name><surname>Coppola</surname> <given-names>G</given-names></name> <name><surname>Chiarelli</surname> <given-names>F</given-names></name></person-group>. <article-title>The metabolic syndrome in overweight epileptic patients treated with valproic acid</article-title>. <source>Epilepsia</source> (<year>2010</year>) <volume>51</volume>:<fpage>268</fpage>&#x02013;<lpage>73</lpage>.<pub-id pub-id-type="doi">10.1111/j.1528-1167.2009.02206.x</pub-id><pub-id pub-id-type="pmid">19682024</pub-id></citation></ref>
<ref id="B13"><label>13</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>S</given-names></name> <name><surname>Tong</surname> <given-names>N</given-names></name> <name><surname>Chen</surname> <given-names>L</given-names></name> <name><surname>An</surname> <given-names>D</given-names></name> <name><surname>Mu</surname> <given-names>J</given-names></name> <etal/></person-group> <article-title>Metabolic syndrome among Chinese obese patients with epilepsy on sodium valproate</article-title>. <source>Seizure</source> (<year>2012</year>) <volume>21</volume>:<fpage>578</fpage>&#x02013;<lpage>82</lpage>.<pub-id pub-id-type="doi">10.1016/j.seizure.2012.06.001</pub-id><pub-id pub-id-type="pmid">22743100</pub-id></citation></ref>
<ref id="B14"><label>14</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nair</surname> <given-names>SS</given-names></name> <name><surname>Harikrishnan</surname> <given-names>S</given-names></name> <name><surname>Sankara Sarma</surname> <given-names>P</given-names></name> <name><surname>Thomas</surname> <given-names>SV</given-names></name></person-group>. <article-title>Metabolic syndrome in young adults with epilepsy</article-title>. <source>Seizure</source> (<year>2016</year>) <volume>37</volume>:<fpage>61</fpage>&#x02013;<lpage>4</lpage>.<pub-id pub-id-type="doi">10.1016/j.seizure.2016.03.002</pub-id></citation></ref>
<ref id="B15"><label>15</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rakitin</surname> <given-names>A</given-names></name> <name><surname>K&#x000F5;ks</surname> <given-names>S</given-names></name> <name><surname>Haldre</surname> <given-names>S</given-names></name></person-group>. <article-title>Metabolic syndrome and anticonvulsants: a comparative study of valproic acid and carbamazepine</article-title>. <source>Seizure</source> (<year>2016</year>) <volume>38</volume>:<fpage>11</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="doi">10.1016/j.seizure.2016.03.008</pub-id><pub-id pub-id-type="pmid">27061880</pub-id></citation></ref>
<ref id="B16"><label>16</label><citation citation-type="journal"><collab>National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III)</collab>. <article-title>Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III): final report</article-title>. <source>Circulation</source> (<year>2002</year>) <volume>106</volume>:<fpage>3143</fpage>&#x02013;<lpage>421</lpage>.</citation></ref>
<ref id="B17"><label>17</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Einhorn</surname> <given-names>D</given-names></name> <name><surname>Reaven</surname> <given-names>GM</given-names></name> <name><surname>Cobin</surname> <given-names>RH</given-names></name> <name><surname>Ford</surname> <given-names>E</given-names></name> <name><surname>Ganada</surname> <given-names>OP</given-names></name> <name><surname>Handelsman</surname> <given-names>YM</given-names></name> <etal/></person-group> <article-title>American College of Endocrinology position statement on the insulin resistance syndrome</article-title>. <source>Endocr Pract</source> (<year>2003</year>) <volume>9</volume>:<fpage>237</fpage>&#x02013;<lpage>52</lpage>.<pub-id pub-id-type="doi">10.4158/EP.9.S2.5</pub-id></citation></ref>
<ref id="B18"><label>18</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grundy</surname> <given-names>SM</given-names></name> <name><surname>Cleeman</surname> <given-names>JI</given-names></name> <name><surname>Daniels</surname> <given-names>SR</given-names></name> <name><surname>Donato</surname> <given-names>KA</given-names></name> <name><surname>Eckel</surname> <given-names>RH</given-names></name> <name><surname>Franklin</surname> <given-names>BA</given-names></name> <etal/></person-group> <article-title>Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement</article-title>. <source>Circulation</source> (<year>2005</year>) <volume>112</volume>:<fpage>2735</fpage>&#x02013;<lpage>52</lpage>.<pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.105.169404</pub-id></citation></ref>
<ref id="B19"><label>19</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alberti</surname> <given-names>KG</given-names></name> <name><surname>Zimmet</surname> <given-names>P</given-names></name> <name><surname>Shaw</surname> <given-names>J</given-names></name></person-group>. <article-title>The metabolic syndrome &#x02013; a new worldwide definition</article-title>. <source>Lancet</source> (<year>2005</year>) <volume>366</volume>:<fpage>1059</fpage>&#x02013;<lpage>62</lpage>.<pub-id pub-id-type="doi">10.1016/S0140-6736(05)67402-8</pub-id></citation></ref>
<ref id="B20"><label>20</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alberti</surname> <given-names>KG</given-names></name> <name><surname>Eckel</surname> <given-names>RH</given-names></name> <name><surname>Grundy</surname> <given-names>SM</given-names></name> <name><surname>Zimmet</surname> <given-names>PZ</given-names></name> <name><surname>Cleeman</surname> <given-names>JI</given-names></name> <name><surname>Donato</surname> <given-names>KA</given-names></name> <etal/></person-group> <article-title>Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity</article-title>. <source>Circulation</source> (<year>2009</year>) <volume>120</volume>:<fpage>1640</fpage>&#x02013;<lpage>5</lpage>.<pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.109.192644</pub-id><pub-id pub-id-type="pmid">19805654</pub-id></citation></ref>
<ref id="B21"><label>21</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Law</surname> <given-names>MR</given-names></name> <name><surname>Watt</surname> <given-names>HC</given-names></name> <name><surname>Wald</surname> <given-names>NJ</given-names></name></person-group>. <article-title>The underlying risk of death after myocardial infarction in the absence of treatment</article-title>. <source>Arch Intern Med</source> (<year>2002</year>) <volume>162</volume>:<fpage>2405</fpage>&#x02013;<lpage>10</lpage>.<pub-id pub-id-type="doi">10.1001/archinte.162.21.2405</pub-id><pub-id pub-id-type="pmid">12437397</pub-id></citation></ref>
<ref id="B22"><label>22</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>James</surname> <given-names>PA</given-names></name> <name><surname>Oparil</surname> <given-names>S</given-names></name> <name><surname>Carter</surname> <given-names>BL</given-names></name> <name><surname>Cushman</surname> <given-names>WC</given-names></name> <name><surname>Dennison-Himmelfarb</surname> <given-names>C</given-names></name> <name><surname>Handler</surname> <given-names>J</given-names></name> <etal/></person-group> <article-title>2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8)</article-title>. <source>JAMA</source> (<year>2014</year>) <volume>311</volume>:<fpage>507</fpage>&#x02013;<lpage>20</lpage>.<pub-id pub-id-type="doi">10.1001/jama.2013.284427</pub-id><pub-id pub-id-type="pmid">24352797</pub-id></citation></ref>
<ref id="B23"><label>23</label><citation citation-type="journal"><collab>American Diabetes Association</collab>. <article-title>Standards of medical care in diabetes &#x02013; 2011</article-title>. <source>Diabetes Care</source> (<year>2011</year>) <volume>34</volume>(<issue>Suppl 1</issue>):<fpage>S11</fpage>&#x02013;<lpage>61</lpage>.<pub-id pub-id-type="doi">10.2337/dc11-S011</pub-id></citation></ref>
<ref id="B24"><label>24</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scheffer</surname> <given-names>IE</given-names></name> <name><surname>French</surname> <given-names>J</given-names></name> <name><surname>Hirsch</surname> <given-names>E</given-names></name> <name><surname>Jain</surname> <given-names>S</given-names></name> <name><surname>Mathern</surname> <given-names>GW</given-names></name> <name><surname>Mosh&#x000E9;</surname> <given-names>SL</given-names></name> <etal/></person-group> <article-title>Classification of the epilepsies: new concepts for discussion and debate&#x02014;special report of the ILAE Classification Task Force of the Commission for Classification and Terminology</article-title>. <source>Epilepsia Open</source> (<year>2016</year>) <volume>1</volume>:<fpage>37</fpage>&#x02013;<lpage>44</lpage>.<pub-id pub-id-type="doi">10.1002/epi4.5</pub-id></citation></ref>
<ref id="B25"><label>25</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Trinka</surname> <given-names>E</given-names></name> <name><surname>Cock</surname> <given-names>H</given-names></name> <name><surname>Hesdorffer</surname> <given-names>D</given-names></name> <name><surname>Rossetti</surname> <given-names>AO</given-names></name> <name><surname>Scheffer</surname> <given-names>IE</given-names></name> <name><surname>Shinnar</surname> <given-names>S</given-names></name> <etal/></person-group> <article-title>A definition and classification of status epilepticus &#x02013; report of the ILAE Task Force on Classification of Status Epilepticus</article-title>. <source>Epilepsia</source> (<year>2015</year>) <volume>56</volume>:<fpage>1515</fpage>&#x02013;<lpage>23</lpage>.<pub-id pub-id-type="doi">10.1111/epi.13121</pub-id></citation></ref>
<ref id="B26"><label>26</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nelson</surname> <given-names>ME</given-names></name> <name><surname>Rejeski</surname> <given-names>WJ</given-names></name> <name><surname>Blair</surname> <given-names>SN</given-names></name> <name><surname>Duncan</surname> <given-names>PW</given-names></name> <name><surname>Judge</surname> <given-names>JO</given-names></name> <name><surname>King</surname> <given-names>A</given-names></name> <etal/></person-group> <article-title>Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association</article-title>. <source>Circulation</source> (<year>2007</year>) <volume>116</volume>:<fpage>1094</fpage>&#x02013;<lpage>105</lpage>.<pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.107.185650</pub-id></citation></ref>
<ref id="B27"><label>27</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dupont</surname> <given-names>WD</given-names></name> <name><surname>Plummer</surname> <given-names>WD</given-names> <suffix>Jr</suffix></name></person-group>. <article-title>Power and sample size calculations for studies involving linear regression</article-title>. <source>Control Clin Trials</source> (<year>1998</year>) <volume>19</volume>:<fpage>589</fpage>&#x02013;<lpage>601</lpage>.<pub-id pub-id-type="doi">10.1016/S0197-2456(98)00037-3</pub-id><pub-id pub-id-type="pmid">9875838</pub-id></citation></ref>
<ref id="B28"><label>28</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rutjes</surname> <given-names>AW</given-names></name> <name><surname>Reitsma</surname> <given-names>JB</given-names></name> <name><surname>Coormarasamy</surname> <given-names>A</given-names></name> <name><surname>Khan</surname> <given-names>KS</given-names></name> <name><surname>Bossuyt</surname> <given-names>PM</given-names></name></person-group>. <article-title>Evaluation of diagnostic tests when there is no gold standard. A review of methods</article-title>. <source>Health Technol Assess</source> (<year>2007</year>) <volume>11</volume>:<fpage>iii</fpage>&#x02013;<lpage>ix,51</lpage>.<pub-id pub-id-type="doi">10.3310/hta11500</pub-id><pub-id pub-id-type="pmid">18021577</pub-id></citation></ref>
<ref id="B29"><label>29</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bossuyt</surname> <given-names>PM</given-names></name> <name><surname>Reitsma</surname> <given-names>JB</given-names></name> <name><surname>Bruns</surname> <given-names>DE</given-names></name> <name><surname>Gatsonis</surname> <given-names>CA</given-names></name> <name><surname>Glasziou</surname> <given-names>PP</given-names></name> <name><surname>Irwig</surname> <given-names>L</given-names></name> <etal/></person-group> <article-title>STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies</article-title>. <source>BMJ</source> (<year>2015</year>) <volume>351</volume>:<fpage>h5527</fpage>.<pub-id pub-id-type="doi">10.1136/bmj.h5527</pub-id></citation></ref>
<ref id="B30"><label>30</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Stevens</surname> <given-names>J</given-names></name></person-group>. <source>Applied Multivariate Statistics for the Social Sciences</source>. <edition>4th ed</edition>. <publisher-loc>Mahwah, NJ</publisher-loc>: <publisher-name>Lawrence Erlbaum Associates</publisher-name> (<year>2002</year>).</citation></ref>
<ref id="B31"><label>31</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pugh</surname> <given-names>MJ</given-names></name> <name><surname>Van Cott</surname> <given-names>AC</given-names></name> <name><surname>Cramer</surname> <given-names>KA</given-names></name> <name><surname>Knoefel</surname> <given-names>JE</given-names></name> <name><surname>Amuan</surname> <given-names>ME</given-names></name> <name><surname>Tabares</surname> <given-names>J</given-names></name> <etal/></person-group> <article-title>Trends in antiepileptic drug prescribing for older patients with new-onset epilepsy: 2000-2004</article-title>. <source>Neurology</source> (<year>2008</year>) <volume>70</volume>:<fpage>2171</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="doi">10.1212/01.wnl.0000313157.15089.e6</pub-id><pub-id pub-id-type="pmid">18505996</pub-id></citation></ref>
<ref id="B32"><label>32</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>CE</given-names></name> <name><surname>Ma</surname> <given-names>S</given-names></name> <name><surname>Wai</surname> <given-names>D</given-names></name> <name><surname>Chew</surname> <given-names>SK</given-names></name> <name><surname>Tai</surname> <given-names>ES</given-names></name></person-group>. <article-title>Can we apply the National Cholesterol Education Program Adult Treatment Panel definition of the metabolic syndrome to Asians?</article-title> <source>Diabetes Care</source> (<year>2004</year>) <volume>27</volume>:<fpage>1182</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="doi">10.2337/diacare.27.5.1182</pub-id><pub-id pub-id-type="pmid">15111542</pub-id></citation></ref>
<ref id="B33"><label>33</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lofgren</surname> <given-names>E</given-names></name> <name><surname>Mikkonen</surname> <given-names>K</given-names></name> <name><surname>Tolonen</surname> <given-names>U</given-names></name> <name><surname>Pakarinen</surname> <given-names>A</given-names></name> <name><surname>Koivunen</surname> <given-names>R</given-names></name> <name><surname>Myllyla</surname> <given-names>VV</given-names></name> <etal/></person-group> <article-title>Reproductive endocrine function in women with epilepsy: the role of epilepsy type and medication</article-title>. <source>Epilepsy Behav</source> (<year>2007</year>) <volume>10</volume>:<fpage>77</fpage>&#x02013;<lpage>83</lpage>.<pub-id pub-id-type="doi">10.1016/j.yebeh.2006.09.011</pub-id><pub-id pub-id-type="pmid">17098479</pub-id></citation></ref>
<ref id="B34"><label>34</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Carvalho Vidigal</surname> <given-names>F</given-names></name> <name><surname>Bressan</surname> <given-names>J</given-names></name> <name><surname>Babio</surname> <given-names>N</given-names></name> <name><surname>Salas-Salvad&#x000F3;</surname> <given-names>J</given-names></name></person-group>. <article-title>Prevalence of metabolic syndrome in Brazilian adults: a systematic review</article-title>. <source>BMC Public Health</source> (<year>2013</year>) <volume>13</volume>:<fpage>1198</fpage>.<pub-id pub-id-type="doi">10.1186/1471-2458-13-1198</pub-id><pub-id pub-id-type="pmid">24350922</pub-id></citation></ref>
<ref id="B35"><label>35</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Silva</surname> <given-names>EC</given-names></name> <name><surname>Martins</surname> <given-names>IS</given-names></name> <name><surname>de Ara&#x000FA;jo</surname> <given-names>EA</given-names></name></person-group>. <article-title>Metabolic syndrome and short stature in adults from the metropolitan area of S&#x000E3;o Paulo city (SP, Brazil)</article-title>. <source>Cien Saude Colet</source> (<year>2011</year>) <volume>16</volume>:<fpage>663</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="doi">10.1590/S1413-81232011000200030</pub-id></citation></ref>
<ref id="B36"><label>36</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gronner</surname> <given-names>MF</given-names></name> <name><surname>Bosi</surname> <given-names>PL</given-names></name> <name><surname>Carvalho</surname> <given-names>AM</given-names></name> <name><surname>Casale</surname> <given-names>G</given-names></name> <name><surname>Contrera</surname> <given-names>D</given-names></name> <name><surname>Pereira</surname> <given-names>MA</given-names></name> <etal/></person-group> <article-title>Prevalence of metabolic syndrome and its association with educational inequalities among Brazilian adults: a population-based study</article-title>. <source>Braz J Med Biol Res</source> (<year>2011</year>) <volume>44</volume>:<fpage>713</fpage>&#x02013;<lpage>9</lpage>.<pub-id pub-id-type="doi">10.1590/S0100-879X2011000700016</pub-id><pub-id pub-id-type="pmid">21755260</pub-id></citation></ref>
</ref-list>
</back>
</article>