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Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients

BACKGROUND: Highly active antiretroviral therapy (HAART) can cause side effects in HIV patients, as the metabolic syndrome. Early identification of risk for development of cardiovascular diseases using available reliable and practical methods is fundamental. On this basis, the aim of this study was...

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Autores principales: Beraldo, Rebeca Antunes, Meliscki, Gabriela Cristina, Silva, Bruna Ramos, Navarro, Anderson Marliere, Bollela, Valdes Roberto, Schmidt, André, Foss-Freitas, Maria Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769013/
https://www.ncbi.nlm.nih.gov/pubmed/26919174
http://dx.doi.org/10.1371/journal.pone.0149905
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author Beraldo, Rebeca Antunes
Meliscki, Gabriela Cristina
Silva, Bruna Ramos
Navarro, Anderson Marliere
Bollela, Valdes Roberto
Schmidt, André
Foss-Freitas, Maria Cristina
author_facet Beraldo, Rebeca Antunes
Meliscki, Gabriela Cristina
Silva, Bruna Ramos
Navarro, Anderson Marliere
Bollela, Valdes Roberto
Schmidt, André
Foss-Freitas, Maria Cristina
author_sort Beraldo, Rebeca Antunes
collection PubMed
description BACKGROUND: Highly active antiretroviral therapy (HAART) can cause side effects in HIV patients, as the metabolic syndrome. Early identification of risk for development of cardiovascular diseases using available reliable and practical methods is fundamental. On this basis, the aim of this study was to compare the effectiveness of anthropometric indicators to identify metabolic syndrome in HIV patients on HAART. METHODS: It is a cross-sectional study. A number of 280 stable HIV patients were studied. It measured weight, height, waist circumference (WC), hip circumference (HP), thigh circumference (TC) and calculated body mass index (BMI), body adiposity index (BAI), waist to hip ratio (WHR) and waist to thigh ratio (WTR). There was also a performance of biochemical tests of lipid profile and fasting glucose. Systemic blood pressure was measured. The criteria proposed by the National Cholesterol Education Program III (NCEP-ATP III) to metabolic syndrome classification was used. Individuals were divided in groups with or without metabolic alterations and their anthropometric indicators were compared. Receiver operating characteristic (ROC) curves were designed for each anthropometric indicator using the metabolic syndrome classification to identify sensitivity and specificity. RESULTS: WC was a good tool to identify each metabolic disorder separately: total cholesterol (only females, p<0.05), triglycerides (only males, p<0.001), HDL cholesterol (p<0.05), LDL cholesterol (p<005) and fasting glycemic (p<005). WC also showed the best performance to identify metabolic syndrome in both genders (areas under the curve (AUCs): 0.79 and 0.76 for male and female, respectively), while BAI proved to be an inadequate indicator (AUCs: 0.63 and 0.67 for males and females), respectively, in this population. CONCLUSIONS: The central adiposity measure (WC) had the best performance to identify metabolic syndrome, and it is a convenient, cheap and reliable tool that can be used in clinical practice routinely to prevent cardiovascular complications in HIV patients.
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spelling pubmed-47690132016-03-09 Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients Beraldo, Rebeca Antunes Meliscki, Gabriela Cristina Silva, Bruna Ramos Navarro, Anderson Marliere Bollela, Valdes Roberto Schmidt, André Foss-Freitas, Maria Cristina PLoS One Research Article BACKGROUND: Highly active antiretroviral therapy (HAART) can cause side effects in HIV patients, as the metabolic syndrome. Early identification of risk for development of cardiovascular diseases using available reliable and practical methods is fundamental. On this basis, the aim of this study was to compare the effectiveness of anthropometric indicators to identify metabolic syndrome in HIV patients on HAART. METHODS: It is a cross-sectional study. A number of 280 stable HIV patients were studied. It measured weight, height, waist circumference (WC), hip circumference (HP), thigh circumference (TC) and calculated body mass index (BMI), body adiposity index (BAI), waist to hip ratio (WHR) and waist to thigh ratio (WTR). There was also a performance of biochemical tests of lipid profile and fasting glucose. Systemic blood pressure was measured. The criteria proposed by the National Cholesterol Education Program III (NCEP-ATP III) to metabolic syndrome classification was used. Individuals were divided in groups with or without metabolic alterations and their anthropometric indicators were compared. Receiver operating characteristic (ROC) curves were designed for each anthropometric indicator using the metabolic syndrome classification to identify sensitivity and specificity. RESULTS: WC was a good tool to identify each metabolic disorder separately: total cholesterol (only females, p<0.05), triglycerides (only males, p<0.001), HDL cholesterol (p<0.05), LDL cholesterol (p<005) and fasting glycemic (p<005). WC also showed the best performance to identify metabolic syndrome in both genders (areas under the curve (AUCs): 0.79 and 0.76 for male and female, respectively), while BAI proved to be an inadequate indicator (AUCs: 0.63 and 0.67 for males and females), respectively, in this population. CONCLUSIONS: The central adiposity measure (WC) had the best performance to identify metabolic syndrome, and it is a convenient, cheap and reliable tool that can be used in clinical practice routinely to prevent cardiovascular complications in HIV patients. Public Library of Science 2016-02-26 /pmc/articles/PMC4769013/ /pubmed/26919174 http://dx.doi.org/10.1371/journal.pone.0149905 Text en © 2016 Beraldo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Beraldo, Rebeca Antunes
Meliscki, Gabriela Cristina
Silva, Bruna Ramos
Navarro, Anderson Marliere
Bollela, Valdes Roberto
Schmidt, André
Foss-Freitas, Maria Cristina
Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title_full Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title_fullStr Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title_full_unstemmed Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title_short Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients
title_sort comparing the ability of anthropometric indicators in identifying metabolic syndrome in hiv patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769013/
https://www.ncbi.nlm.nih.gov/pubmed/26919174
http://dx.doi.org/10.1371/journal.pone.0149905
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