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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4769013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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