Cargando…
Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis
INTRODUCTION: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624109/ https://www.ncbi.nlm.nih.gov/pubmed/37928474 http://dx.doi.org/10.3389/fmed.2023.1213077 |
_version_ | 1785130858076700672 |
---|---|
author | Birhanu, Molla Yigzaw Jemberie, Selamawit Shita |
author_facet | Birhanu, Molla Yigzaw Jemberie, Selamawit Shita |
author_sort | Birhanu, Molla Yigzaw |
collection | PubMed |
description | INTRODUCTION: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda. OBJECTIVE: This study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia. METHODS: Electronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to Stata(TM) version 17.0 for further analysis. The presence of heterogeneity was assessed and presented using a forest plot. The subgroup analysis, meta-regression, and publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and its predictors were calculated and identified using the random effects meta-analysis model, respectively. The significant predictors identified were reported using a relative risk ratio and 95% confidence interval (CI). RESULTS: Seven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73). CONCLUSION: COVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID-19 patients in Ethiopia. COVID-19 patients with chronic diseases and comorbidities need special attention, close follow-up, and care from all stakeholders. |
format | Online Article Text |
id | pubmed-10624109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106241092023-11-04 Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis Birhanu, Molla Yigzaw Jemberie, Selamawit Shita Front Med (Lausanne) Medicine INTRODUCTION: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda. OBJECTIVE: This study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia. METHODS: Electronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to Stata(TM) version 17.0 for further analysis. The presence of heterogeneity was assessed and presented using a forest plot. The subgroup analysis, meta-regression, and publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and its predictors were calculated and identified using the random effects meta-analysis model, respectively. The significant predictors identified were reported using a relative risk ratio and 95% confidence interval (CI). RESULTS: Seven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73). CONCLUSION: COVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID-19 patients in Ethiopia. COVID-19 patients with chronic diseases and comorbidities need special attention, close follow-up, and care from all stakeholders. Frontiers Media S.A. 2023-10-20 /pmc/articles/PMC10624109/ /pubmed/37928474 http://dx.doi.org/10.3389/fmed.2023.1213077 Text en Copyright © 2023 Birhanu and Jemberie. https://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 | Medicine Birhanu, Molla Yigzaw Jemberie, Selamawit Shita Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title | Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title_full | Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title_fullStr | Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title_full_unstemmed | Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title_short | Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis |
title_sort | mortality rate and predictors of covid-19 inpatients in ethiopia: a systematic review and meta-analysis |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624109/ https://www.ncbi.nlm.nih.gov/pubmed/37928474 http://dx.doi.org/10.3389/fmed.2023.1213077 |
work_keys_str_mv | AT birhanumollayigzaw mortalityrateandpredictorsofcovid19inpatientsinethiopiaasystematicreviewandmetaanalysis AT jemberieselamawitshita mortalityrateandpredictorsofcovid19inpatientsinethiopiaasystematicreviewandmetaanalysis |