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The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis
BACKGROUND: The coronavirus (COVID-19) pandemic was reported from Wuhan, China, on December 31, 2019, and the pandemic was spread to more than 212 countries in the globe. This meta-analysis aimed to assess the pooled incidence of COVID-19 complications and to identify the association between the inc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980104/ https://www.ncbi.nlm.nih.gov/pubmed/33743821 http://dx.doi.org/10.1186/s13643-021-01636-2 |
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author | Tiruneh, Sofonyas Abebaw Tesema, Zemenu Tadese Azanaw, Melkalem Mamuye Angaw, Dessie Abebaw |
author_facet | Tiruneh, Sofonyas Abebaw Tesema, Zemenu Tadese Azanaw, Melkalem Mamuye Angaw, Dessie Abebaw |
author_sort | Tiruneh, Sofonyas Abebaw |
collection | PubMed |
description | BACKGROUND: The coronavirus (COVID-19) pandemic was reported from Wuhan, China, on December 31, 2019, and the pandemic was spread to more than 212 countries in the globe. This meta-analysis aimed to assess the pooled incidence of COVID-19 complications and to identify the association between the incidence of complications and age. METHODS: Comprehensive databases, PubMed, Hinari, and Google Scholar, were used to locate potential articles for this review. Data were extracted using Microsoft Excel and imported to the STATA/MP version 16.0 software for analysis. Heterogeneity between studies was assessed using the Cochrane Q test statistics and I(2) test, and small study effect was checked using Egger’s statistical test at 5% significant level. Sensitivity analysis was checked. A random-effects model was conducted to estimate the pooled incidence of COVID-19 complications. Univariate meta-regression was conducted to identify the association between the mean ages with each complication. RESULTS: From the total of 1237 studies, 12 studies were included with a total of 3064 COVID-19 patients. The most complications were acute respiratory distress syndrome (30.93%, 95%CI 21.3–40.6%) followed by acute liver injury (22.8%, 95%CI 14–31.5%), shock (10.9%, 95%CI 7.4–14.4%), acute kidney injury (7%, 95%CI 3.8–10.4%), and acute cardiac injury (6.4%, 95%CI 2.8–15.6%). Univariate meta-regression revealed that as the mean age increased by 1 year, the incidence of acute respiratory distress syndrome, acute kidney injury, acute cardiac injury, and shock increased by a factor of 2.9 (β = 2.9, 95%CI 2.4–3.4, adjusted R(2) = 88), 0.4 (β = 0.4, 95%CI 0.04–0.72, adjusted R(2) = 54), 1.6 (β = 1.6, 95%CI 1.1–2.1, adjusted R(2) = 85), and 1.1 (β = 1.1, 95%CI 0.8–1.5, adjusted R(2) = 26) times respectively. CONCLUSION: Significant complications of COVID-19 viral infections were reported. Older populations were a high-risk group of developing adverse complications as compared to their counterparts. Health care professionals should give primary attention to those risk group individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-021-01636-2. |
format | Online Article Text |
id | pubmed-7980104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79801042021-03-22 The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis Tiruneh, Sofonyas Abebaw Tesema, Zemenu Tadese Azanaw, Melkalem Mamuye Angaw, Dessie Abebaw Syst Rev Systematic Review Update BACKGROUND: The coronavirus (COVID-19) pandemic was reported from Wuhan, China, on December 31, 2019, and the pandemic was spread to more than 212 countries in the globe. This meta-analysis aimed to assess the pooled incidence of COVID-19 complications and to identify the association between the incidence of complications and age. METHODS: Comprehensive databases, PubMed, Hinari, and Google Scholar, were used to locate potential articles for this review. Data were extracted using Microsoft Excel and imported to the STATA/MP version 16.0 software for analysis. Heterogeneity between studies was assessed using the Cochrane Q test statistics and I(2) test, and small study effect was checked using Egger’s statistical test at 5% significant level. Sensitivity analysis was checked. A random-effects model was conducted to estimate the pooled incidence of COVID-19 complications. Univariate meta-regression was conducted to identify the association between the mean ages with each complication. RESULTS: From the total of 1237 studies, 12 studies were included with a total of 3064 COVID-19 patients. The most complications were acute respiratory distress syndrome (30.93%, 95%CI 21.3–40.6%) followed by acute liver injury (22.8%, 95%CI 14–31.5%), shock (10.9%, 95%CI 7.4–14.4%), acute kidney injury (7%, 95%CI 3.8–10.4%), and acute cardiac injury (6.4%, 95%CI 2.8–15.6%). Univariate meta-regression revealed that as the mean age increased by 1 year, the incidence of acute respiratory distress syndrome, acute kidney injury, acute cardiac injury, and shock increased by a factor of 2.9 (β = 2.9, 95%CI 2.4–3.4, adjusted R(2) = 88), 0.4 (β = 0.4, 95%CI 0.04–0.72, adjusted R(2) = 54), 1.6 (β = 1.6, 95%CI 1.1–2.1, adjusted R(2) = 85), and 1.1 (β = 1.1, 95%CI 0.8–1.5, adjusted R(2) = 26) times respectively. CONCLUSION: Significant complications of COVID-19 viral infections were reported. Older populations were a high-risk group of developing adverse complications as compared to their counterparts. Health care professionals should give primary attention to those risk group individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-021-01636-2. BioMed Central 2021-03-20 /pmc/articles/PMC7980104/ /pubmed/33743821 http://dx.doi.org/10.1186/s13643-021-01636-2 Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Systematic Review Update Tiruneh, Sofonyas Abebaw Tesema, Zemenu Tadese Azanaw, Melkalem Mamuye Angaw, Dessie Abebaw The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title | The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title_full | The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title_fullStr | The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title_full_unstemmed | The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title_short | The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis |
title_sort | effect of age on the incidence of covid-19 complications: a systematic review and meta-analysis |
topic | Systematic Review Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980104/ https://www.ncbi.nlm.nih.gov/pubmed/33743821 http://dx.doi.org/10.1186/s13643-021-01636-2 |
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