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Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review
A better understanding of the SARS-CoV-2 virus behavior and possible risk factors implicated in poor outcome has become an urgent need. We performed a systematic review in order to investigate a possible association between body weight and prognosis among patients diagnosed with COVID-19. We searche...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456965/ https://www.ncbi.nlm.nih.gov/pubmed/32922366 http://dx.doi.org/10.3389/fendo.2020.00562 |
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author | Peres, Karina Colombera Riera, Rachel Martimbianco, Ana Luiza Cabrera Ward, Laura Sterian Cunha, Lucas Leite |
author_facet | Peres, Karina Colombera Riera, Rachel Martimbianco, Ana Luiza Cabrera Ward, Laura Sterian Cunha, Lucas Leite |
author_sort | Peres, Karina Colombera |
collection | PubMed |
description | A better understanding of the SARS-CoV-2 virus behavior and possible risk factors implicated in poor outcome has become an urgent need. We performed a systematic review in order to investigate a possible association between body weight and prognosis among patients diagnosed with COVID-19. We searched in Cochrane Library, EMBASE, MEDLINE, WHO-Global Literature on Coronavirus Disease, OpenGrey, and Medrxiv. We used the ROBINS-I tool or Cross-Sectional/Prevalence Study Quality tool from AHRQ, to evaluate the methodological quality of included studies. Nine studies (two prospective cohorts, four retrospective cohorts and three cross-sectional) were included and assessed the relationship between obesity and COVID-19 prognosis. Risk of bias of the included studies ranged from moderate to critical. Clinical and methodological heterogeneity among them precluded meta-analyses. Most of the included studies showed some degree of association to: (a) higher BMI and worse clinical presentation and (b) obesity and need of hospitalization. The results were inconsistent about the impact of obesity on mortality. Based on limited methodological quality studies, obesity seems to predict poor clinical evolution in patients with COVID-19. Further studies with appropriate prospective design are needed to reduce the uncertainty on this evidence. |
format | Online Article Text |
id | pubmed-7456965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74569652020-09-11 Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review Peres, Karina Colombera Riera, Rachel Martimbianco, Ana Luiza Cabrera Ward, Laura Sterian Cunha, Lucas Leite Front Endocrinol (Lausanne) Endocrinology A better understanding of the SARS-CoV-2 virus behavior and possible risk factors implicated in poor outcome has become an urgent need. We performed a systematic review in order to investigate a possible association between body weight and prognosis among patients diagnosed with COVID-19. We searched in Cochrane Library, EMBASE, MEDLINE, WHO-Global Literature on Coronavirus Disease, OpenGrey, and Medrxiv. We used the ROBINS-I tool or Cross-Sectional/Prevalence Study Quality tool from AHRQ, to evaluate the methodological quality of included studies. Nine studies (two prospective cohorts, four retrospective cohorts and three cross-sectional) were included and assessed the relationship between obesity and COVID-19 prognosis. Risk of bias of the included studies ranged from moderate to critical. Clinical and methodological heterogeneity among them precluded meta-analyses. Most of the included studies showed some degree of association to: (a) higher BMI and worse clinical presentation and (b) obesity and need of hospitalization. The results were inconsistent about the impact of obesity on mortality. Based on limited methodological quality studies, obesity seems to predict poor clinical evolution in patients with COVID-19. Further studies with appropriate prospective design are needed to reduce the uncertainty on this evidence. Frontiers Media S.A. 2020-08-14 /pmc/articles/PMC7456965/ /pubmed/32922366 http://dx.doi.org/10.3389/fendo.2020.00562 Text en Copyright © 2020 Peres, Riera, Martimbianco, Ward and Cunha. 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) and the copyright owner(s) 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 | Endocrinology Peres, Karina Colombera Riera, Rachel Martimbianco, Ana Luiza Cabrera Ward, Laura Sterian Cunha, Lucas Leite Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title | Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title_full | Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title_fullStr | Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title_full_unstemmed | Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title_short | Body Mass Index and Prognosis of COVID-19 Infection. A Systematic Review |
title_sort | body mass index and prognosis of covid-19 infection. a systematic review |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456965/ https://www.ncbi.nlm.nih.gov/pubmed/32922366 http://dx.doi.org/10.3389/fendo.2020.00562 |
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