Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Frequency of underlying diseases, symptoms and mortality rate of COVID-19: a systematic review and meta-analysis

Fri Apr 26 06:48:53 2024

(2022) Frequency of underlying diseases, symptoms and mortality rate of COVID-19: a systematic review and meta-analysis. Reviews in Medical Microbiology. E189-E197. ISSN 0954-139X

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Abstract

Coronavirus disease 2019 (COVID-19) is known to be affected by underlying diseases of the respiratory system. In this meta-analysis, the keywords of COVID-19, underlying diseases, symptoms, and mortality were searched in national and international databases to obtain the related studies. The inclusion criteria were as follows: interventional, clinical, descriptive and cross-sectional, and studies focusing on COVID-19. This study was conducted based on Preferred Reporting Items for Systematic Reviews and MetaAnalyses protocol. Eighteen studies were selected to be finally analyzed. The mean percentage of mortality was 14 (I-2 = 98.9, P< 0.001). The most common symptoms were fever (91, I-2 = 88.5, P< 0.001) and cough (71, I-2= 84.5, P< 0.001), and the most frequent underlying diseases were hypertension (41, I-2 = 98.9, P<0.001), diabetes mellitus (18, I-2 = 88.7, P< 0.001) and cardiovascular disease (11, I-2 = 87.7, P< 0.001). Findings of present study suggest that individuals with underlying diseases have a higher rate of mortality following COVID-19 infection. Copyright (C) 2021 Wolters Kluwer Health, Inc. All rights reserved.

Item Type: Article
Creators:
CreatorsEmail
Shams, M.UNSPECIFIED
Basati, G.UNSPECIFIED
Kalvandi, G.UNSPECIFIED
Abdoli, A.UNSPECIFIED
Tavan, H.UNSPECIFIED
Keywords: COVID-19 meta-analysis SARS-CoV-2 underlying diseases comorbidities mers Microbiology
Divisions:
Page Range: E189-E197
Journal or Publication Title: Reviews in Medical Microbiology
Journal Index: ISI
Volume: 33
Number: 1
Identification Number: https://doi.org/10.1097/mrm.0000000000000262
ISSN: 0954-139X
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/3826

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