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Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy

INTRODUCTION: 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 ep...

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Autores principales: Cabral, Lucas Scotta, Cherubini, Pedro Abrahim, de Oliveira, Marina Amaral, Bianchini, Larissa, Torres, Carolina Machado, Bianchin, Marino Muxfeldt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595158/
https://www.ncbi.nlm.nih.gov/pubmed/28936195
http://dx.doi.org/10.3389/fneur.2017.00460
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author Cabral, Lucas Scotta
Cherubini, Pedro Abrahim
de Oliveira, Marina Amaral
Bianchini, Larissa
Torres, Carolina Machado
Bianchin, Marino Muxfeldt
author_facet Cabral, Lucas Scotta
Cherubini, Pedro Abrahim
de Oliveira, Marina Amaral
Bianchini, Larissa
Torres, Carolina Machado
Bianchin, Marino Muxfeldt
author_sort Cabral, Lucas Scotta
collection PubMed
description INTRODUCTION: 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. MATERIALS AND METHODS: Ninety-five epileptic adults from a tertiary epilepsy reference center were prospectively recruited over 22 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. RESULTS: 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 (p < 0.005). IDF criteria showed the highest sensitivity [S = 95.5% (95% CI 84.5–99.4), p < 0.05] and AACE criteria showed the lowest sensitivity and NPV [S = 68.2% (95% CI 52.4–81.4), p < 0.05; NPV = 75.8% (95% CI 62.3–86.1), p < 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 (p = 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 = 0.920 (p = 0.0147), NCEP/ATP3 = 0.898 (p = 0.0067), AACE = 0.830 (p = 0.00059). CONCLUSION: 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.
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spelling pubmed-55951582017-09-21 Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy Cabral, Lucas Scotta Cherubini, Pedro Abrahim de Oliveira, Marina Amaral Bianchini, Larissa Torres, Carolina Machado Bianchin, Marino Muxfeldt Front Neurol Neuroscience INTRODUCTION: 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. MATERIALS AND METHODS: Ninety-five epileptic adults from a tertiary epilepsy reference center were prospectively recruited over 22 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. RESULTS: 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 (p < 0.005). IDF criteria showed the highest sensitivity [S = 95.5% (95% CI 84.5–99.4), p < 0.05] and AACE criteria showed the lowest sensitivity and NPV [S = 68.2% (95% CI 52.4–81.4), p < 0.05; NPV = 75.8% (95% CI 62.3–86.1), p < 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 (p = 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 = 0.920 (p = 0.0147), NCEP/ATP3 = 0.898 (p = 0.0067), AACE = 0.830 (p = 0.00059). CONCLUSION: 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. Frontiers Media S.A. 2017-09-01 /pmc/articles/PMC5595158/ /pubmed/28936195 http://dx.doi.org/10.3389/fneur.2017.00460 Text en Copyright © 2017 Cabral, Cherubini, de Oliveira, Bianchini, Torres and Bianchin. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Neuroscience
Cabral, Lucas Scotta
Cherubini, Pedro Abrahim
de Oliveira, Marina Amaral
Bianchini, Larissa
Torres, Carolina Machado
Bianchin, Marino Muxfeldt
Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title_full Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title_fullStr Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title_full_unstemmed Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title_short Diagnostic Yield and Accuracy of Different Metabolic Syndrome Criteria in Adult Patients with Epilepsy
title_sort diagnostic yield and accuracy of different metabolic syndrome criteria in adult patients with epilepsy
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595158/
https://www.ncbi.nlm.nih.gov/pubmed/28936195
http://dx.doi.org/10.3389/fneur.2017.00460
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