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Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis

BACKGROUND: Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of p...

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Autores principales: Khan, Md Mostaured Ali, Khan, Md Nuruzzaman, Mustagir, Md Golam, Rana, Juwel, Islam, Md Saiful, Kabir, Md Iqbal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567434/
https://www.ncbi.nlm.nih.gov/pubmed/33110586
http://dx.doi.org/10.7189/jogh.10.020503
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author Khan, Md Mostaured Ali
Khan, Md Nuruzzaman
Mustagir, Md Golam
Rana, Juwel
Islam, Md Saiful
Kabir, Md Iqbal
author_facet Khan, Md Mostaured Ali
Khan, Md Nuruzzaman
Mustagir, Md Golam
Rana, Juwel
Islam, Md Saiful
Kabir, Md Iqbal
author_sort Khan, Md Mostaured Ali
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity. METHODS: To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals’ websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger’s regression test. Trim and Fill method was used if there any publication bias was found. RESULTS: A total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69). CONCLUSIONS: This study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.
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spelling pubmed-75674342020-10-21 Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis Khan, Md Mostaured Ali Khan, Md Nuruzzaman Mustagir, Md Golam Rana, Juwel Islam, Md Saiful Kabir, Md Iqbal J Glob Health Research Theme 1: COVID-19 Pandemic BACKGROUND: Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity. METHODS: To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals’ websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger’s regression test. Trim and Fill method was used if there any publication bias was found. RESULTS: A total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69). CONCLUSIONS: This study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19. International Society of Global Health 2020-12 2020-08-18 /pmc/articles/PMC7567434/ /pubmed/33110586 http://dx.doi.org/10.7189/jogh.10.020503 Text en Copyright © 2020 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Research Theme 1: COVID-19 Pandemic
Khan, Md Mostaured Ali
Khan, Md Nuruzzaman
Mustagir, Md Golam
Rana, Juwel
Islam, Md Saiful
Kabir, Md Iqbal
Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title_full Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title_fullStr Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title_full_unstemmed Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title_short Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis
title_sort effects of underlying morbidities on the occurrence of deaths in covid-19 patients: a systematic review and meta-analysis
topic Research Theme 1: COVID-19 Pandemic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567434/
https://www.ncbi.nlm.nih.gov/pubmed/33110586
http://dx.doi.org/10.7189/jogh.10.020503
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