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A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19

Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This...

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Autores principales: Thakur, Bhaskar, Dubey, Pallavi, Benitez, Joseph, Torres, Joshua P., Reddy, Sireesha, Shokar, Navkiran, Aung, Koko, Mukherjee, Debabrata, Dwivedi, Alok Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058064/
https://www.ncbi.nlm.nih.gov/pubmed/33879826
http://dx.doi.org/10.1038/s41598-021-88130-w
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author Thakur, Bhaskar
Dubey, Pallavi
Benitez, Joseph
Torres, Joshua P.
Reddy, Sireesha
Shokar, Navkiran
Aung, Koko
Mukherjee, Debabrata
Dwivedi, Alok Kumar
author_facet Thakur, Bhaskar
Dubey, Pallavi
Benitez, Joseph
Torres, Joshua P.
Reddy, Sireesha
Shokar, Navkiran
Aung, Koko
Mukherjee, Debabrata
Dwivedi, Alok Kumar
author_sort Thakur, Bhaskar
collection PubMed
description Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location.
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spelling pubmed-80580642021-04-22 A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19 Thakur, Bhaskar Dubey, Pallavi Benitez, Joseph Torres, Joshua P. Reddy, Sireesha Shokar, Navkiran Aung, Koko Mukherjee, Debabrata Dwivedi, Alok Kumar Sci Rep Article Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location. Nature Publishing Group UK 2021-04-20 /pmc/articles/PMC8058064/ /pubmed/33879826 http://dx.doi.org/10.1038/s41598-021-88130-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Thakur, Bhaskar
Dubey, Pallavi
Benitez, Joseph
Torres, Joshua P.
Reddy, Sireesha
Shokar, Navkiran
Aung, Koko
Mukherjee, Debabrata
Dwivedi, Alok Kumar
A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title_full A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title_fullStr A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title_full_unstemmed A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title_short A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19
title_sort systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058064/
https://www.ncbi.nlm.nih.gov/pubmed/33879826
http://dx.doi.org/10.1038/s41598-021-88130-w
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