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Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
BACKGROUND: This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients. METHODS: We followed the recommended PRISMA guidelines. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published l...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132271/ https://www.ncbi.nlm.nih.gov/pubmed/34013296 http://dx.doi.org/10.1101/2020.11.27.20239616 |
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author | Das, Pranta Samad, Nandeeta Seidu, Abdul-Aziz Aboagye, Richard Gyan Tetteh, Justice Kanor Ahinkorah, Bright Opoku |
author_facet | Das, Pranta Samad, Nandeeta Seidu, Abdul-Aziz Aboagye, Richard Gyan Tetteh, Justice Kanor Ahinkorah, Bright Opoku |
author_sort | Das, Pranta |
collection | PubMed |
description | BACKGROUND: This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients. METHODS: We followed the recommended PRISMA guidelines. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published literature between December 1, 2019, and October 2, 2020. The data for the study were pooled from studies that contained the search terms “Obesity” AND (COVID-19 or 2019-nCoV or Coronavirus or SARS-CoV-2) AND (“ICU admission” OR “Hospitalization” OR “Disease severity” OR “Invasive mechanical ventilator” OR “Death” OR “Mortality”). All the online searches were supplemented by reference screening of retrieved studies for additional literature. The pooled odds ratio (OR) and confidence intervals (CI) from the retrieved studies were calculated using the random effect model (Inverse-Variance method). FINDINGS: Five studies with a combined sample size of 335,192 patients were included in the meta-analysis. The pooled OR from the final analysis showed that patients who are severely obese were more likely to experience adverse outcome (death or ICU admission or needing IMV or hospitalization) compared to the normal patients [OR = 2.81, 95% CI = 2.33 – 3.40, I (2) = 29%]. CONCLUSION: Severe obesity is a risk factor in developing adverse outcomes among COVID-19 patients. The finding of the study signifies promotive, preventive, and curative attention to be accorded patients diagnosed with severe obesity and COVID-19. |
format | Online Article Text |
id | pubmed-8132271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-81322712021-05-20 Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis Das, Pranta Samad, Nandeeta Seidu, Abdul-Aziz Aboagye, Richard Gyan Tetteh, Justice Kanor Ahinkorah, Bright Opoku medRxiv Article BACKGROUND: This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients. METHODS: We followed the recommended PRISMA guidelines. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published literature between December 1, 2019, and October 2, 2020. The data for the study were pooled from studies that contained the search terms “Obesity” AND (COVID-19 or 2019-nCoV or Coronavirus or SARS-CoV-2) AND (“ICU admission” OR “Hospitalization” OR “Disease severity” OR “Invasive mechanical ventilator” OR “Death” OR “Mortality”). All the online searches were supplemented by reference screening of retrieved studies for additional literature. The pooled odds ratio (OR) and confidence intervals (CI) from the retrieved studies were calculated using the random effect model (Inverse-Variance method). FINDINGS: Five studies with a combined sample size of 335,192 patients were included in the meta-analysis. The pooled OR from the final analysis showed that patients who are severely obese were more likely to experience adverse outcome (death or ICU admission or needing IMV or hospitalization) compared to the normal patients [OR = 2.81, 95% CI = 2.33 – 3.40, I (2) = 29%]. CONCLUSION: Severe obesity is a risk factor in developing adverse outcomes among COVID-19 patients. The finding of the study signifies promotive, preventive, and curative attention to be accorded patients diagnosed with severe obesity and COVID-19. Cold Spring Harbor Laboratory 2020-11-30 /pmc/articles/PMC8132271/ /pubmed/34013296 http://dx.doi.org/10.1101/2020.11.27.20239616 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Das, Pranta Samad, Nandeeta Seidu, Abdul-Aziz Aboagye, Richard Gyan Tetteh, Justice Kanor Ahinkorah, Bright Opoku Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis |
title |
Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
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title_full |
Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
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title_fullStr |
Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
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title_full_unstemmed |
Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
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title_short |
Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis
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title_sort | obesity as a predictor for adverse outcomes among covid-19 patients: a meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132271/ https://www.ncbi.nlm.nih.gov/pubmed/34013296 http://dx.doi.org/10.1101/2020.11.27.20239616 |
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