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Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence

BACKGROUND: This study applies an umbrella review approach to summarise the global evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health conditions. METHODS: Systematic reviews (SRs) were identified in PubMed, Embase/Medline and seven pre-print servers until December...

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Autores principales: Treskova-Schwarzbach, Marina, Haas, Laura, Reda, Sarah, Pilic, Antonia, Borodova, Anna, Karimi, Kasra, Koch, Judith, Nygren, Teresa, Scholz, Stefan, Schönfeld, Viktoria, Vygen-Bonnet, Sabine, Wichmann, Ole, Harder, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390115/
https://www.ncbi.nlm.nih.gov/pubmed/34446016
http://dx.doi.org/10.1186/s12916-021-02058-6
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author Treskova-Schwarzbach, Marina
Haas, Laura
Reda, Sarah
Pilic, Antonia
Borodova, Anna
Karimi, Kasra
Koch, Judith
Nygren, Teresa
Scholz, Stefan
Schönfeld, Viktoria
Vygen-Bonnet, Sabine
Wichmann, Ole
Harder, Thomas
author_facet Treskova-Schwarzbach, Marina
Haas, Laura
Reda, Sarah
Pilic, Antonia
Borodova, Anna
Karimi, Kasra
Koch, Judith
Nygren, Teresa
Scholz, Stefan
Schönfeld, Viktoria
Vygen-Bonnet, Sabine
Wichmann, Ole
Harder, Thomas
author_sort Treskova-Schwarzbach, Marina
collection PubMed
description BACKGROUND: This study applies an umbrella review approach to summarise the global evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health conditions. METHODS: Systematic reviews (SRs) were identified in PubMed, Embase/Medline and seven pre-print servers until December 11, 2020. Due to the absence of age-adjusted risk effects stratified by geographical regions, a re-analysis of the evidence was conducted. Primary studies were extracted from SRs and evaluated for inclusion in the re-analysis. Studies were included if they reported risk estimates (odds ratio (OR), hazard ratio (HR), relative risk (RR)) for hospitalisation, intensive care unit admission, intubation or death. Estimated associations were extracted from the primary studies for reported pre-existing conditions. Meta-analyses were performed stratified for each outcome by regions of the World Health Organization. The evidence certainty was assessed using GRADE. Registration number CRD42020215846. RESULTS: In total, 160 primary studies from 120 SRs contributed 464 estimates for 42 pre-existing conditions. Most studies were conducted in North America, European, and Western Pacific regions. Evidence from Africa, South/Latin America, and the Eastern Mediterranean region was scarce. No evidence was available from the South-East Asia region. Diabetes (HR range 1.2–2.0 (CI range 1.1–2.8)), obesity (OR range 1.5–1.75 (CI range 1.1–2.3)), heart failure (HR range 1.3–3.3 (CI range 0.9–8.2)), COPD (HR range 1.12–2.2 (CI range 1.1–3.2)) and dementia (HR range 1.4–7.7 (CI range 1.2–39.6)) were associated with fatal COVID-19 in different regions, although the estimates varied. Evidence from Europe and North America showed that liver cirrhosis (OR range 3.2–5.9 (CI range 0.9–27.7)) and active cancer (OR range 1.6–4.7 (CI range 0.5–14.9)) were also associated with increased risk of death. Association between HIV and undesirable COVID-19 outcomes showed regional heterogeneity, with an increased risk of death in Africa (HR 1.7 (CI 1.3–2.2)). GRADE certainty was moderate to high for most associations. CONCLUSION: Risk of undesirable COVID-19 health outcomes is consistently increased in certain patient subgroups across geographical regions, showing high variability in others. The results can be used to inform COVID-19 vaccine prioritisation or other intervention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02058-6.
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spelling pubmed-83901152021-08-27 Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence Treskova-Schwarzbach, Marina Haas, Laura Reda, Sarah Pilic, Antonia Borodova, Anna Karimi, Kasra Koch, Judith Nygren, Teresa Scholz, Stefan Schönfeld, Viktoria Vygen-Bonnet, Sabine Wichmann, Ole Harder, Thomas BMC Med Research Article BACKGROUND: This study applies an umbrella review approach to summarise the global evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health conditions. METHODS: Systematic reviews (SRs) were identified in PubMed, Embase/Medline and seven pre-print servers until December 11, 2020. Due to the absence of age-adjusted risk effects stratified by geographical regions, a re-analysis of the evidence was conducted. Primary studies were extracted from SRs and evaluated for inclusion in the re-analysis. Studies were included if they reported risk estimates (odds ratio (OR), hazard ratio (HR), relative risk (RR)) for hospitalisation, intensive care unit admission, intubation or death. Estimated associations were extracted from the primary studies for reported pre-existing conditions. Meta-analyses were performed stratified for each outcome by regions of the World Health Organization. The evidence certainty was assessed using GRADE. Registration number CRD42020215846. RESULTS: In total, 160 primary studies from 120 SRs contributed 464 estimates for 42 pre-existing conditions. Most studies were conducted in North America, European, and Western Pacific regions. Evidence from Africa, South/Latin America, and the Eastern Mediterranean region was scarce. No evidence was available from the South-East Asia region. Diabetes (HR range 1.2–2.0 (CI range 1.1–2.8)), obesity (OR range 1.5–1.75 (CI range 1.1–2.3)), heart failure (HR range 1.3–3.3 (CI range 0.9–8.2)), COPD (HR range 1.12–2.2 (CI range 1.1–3.2)) and dementia (HR range 1.4–7.7 (CI range 1.2–39.6)) were associated with fatal COVID-19 in different regions, although the estimates varied. Evidence from Europe and North America showed that liver cirrhosis (OR range 3.2–5.9 (CI range 0.9–27.7)) and active cancer (OR range 1.6–4.7 (CI range 0.5–14.9)) were also associated with increased risk of death. Association between HIV and undesirable COVID-19 outcomes showed regional heterogeneity, with an increased risk of death in Africa (HR 1.7 (CI 1.3–2.2)). GRADE certainty was moderate to high for most associations. CONCLUSION: Risk of undesirable COVID-19 health outcomes is consistently increased in certain patient subgroups across geographical regions, showing high variability in others. The results can be used to inform COVID-19 vaccine prioritisation or other intervention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02058-6. BioMed Central 2021-08-27 /pmc/articles/PMC8390115/ /pubmed/34446016 http://dx.doi.org/10.1186/s12916-021-02058-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research Article
Treskova-Schwarzbach, Marina
Haas, Laura
Reda, Sarah
Pilic, Antonia
Borodova, Anna
Karimi, Kasra
Koch, Judith
Nygren, Teresa
Scholz, Stefan
Schönfeld, Viktoria
Vygen-Bonnet, Sabine
Wichmann, Ole
Harder, Thomas
Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title_full Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title_fullStr Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title_full_unstemmed Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title_short Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence
title_sort pre-existing health conditions and severe covid-19 outcomes: an umbrella review approach and meta-analysis of global evidence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390115/
https://www.ncbi.nlm.nih.gov/pubmed/34446016
http://dx.doi.org/10.1186/s12916-021-02058-6
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