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Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis
BACKGROUND: A large number of studies have explored the association between frailty and mortality among COVID-19 patients, with inconsistent results. The aim of this meta-analysis was to synthesize the evidence on this issue. METHODS: Three databases, PubMed, Embase, and Cochrane Library, from incep...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968577/ https://www.ncbi.nlm.nih.gov/pubmed/33731018 http://dx.doi.org/10.1186/s12877-021-02138-5 |
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author | Zhang, Xiao-Ming Jiao, Jing Cao, Jing Huo, Xiao-Peng Zhu, Chen Wu, Xin-Juan Xie, Xiao-Hua |
author_facet | Zhang, Xiao-Ming Jiao, Jing Cao, Jing Huo, Xiao-Peng Zhu, Chen Wu, Xin-Juan Xie, Xiao-Hua |
author_sort | Zhang, Xiao-Ming |
collection | PubMed |
description | BACKGROUND: A large number of studies have explored the association between frailty and mortality among COVID-19 patients, with inconsistent results. The aim of this meta-analysis was to synthesize the evidence on this issue. METHODS: Three databases, PubMed, Embase, and Cochrane Library, from inception to 20th January 2021 were searched for relevant literature. The Newcastle–Ottawa Scale (NOS) was used to assess quality bias, and STATA was employed to pool the effect size by a random effects model. Additionally, potential publication bias and sensitivity analyses were performed. RESULTS: Fifteen studies were included, with a total of 23,944 COVID-19 patients, for quantitative analysis. Overall, the pooled prevalence of frailty was 51% (95% CI: 44–59%). Patients with frailty who were infected with COVID-19 had an increased risk of mortality compared to those without frailty, and the pooled hazard ratio (HR) and odds ratio (OR) were 1.99 (95% CI: 1.66–2.38) and 2.48 (95% CI: 1.78–3.46), respectively. In addition, subgroup analysis based on population showed that the pooled ORs for hospitalized patients in eight studies and nursing home residents in two studies were 2.62 (95% CI: 1.68–4.07) and 2.09 (95% CI: 1.40–3.11), respectively. Subgroup analysis using the frailty assessment tool indicated that this association still existed when using the clinical frailty scale (CFS) (assessed in 6 studies, pooled OR = 2.88, 95% CI: 1.52–5.45; assessed in 5 studies, pooled HR = 1.99, 95% CI: 1.66–2.38) and other frailty tools (assessed in 4 studies, pooled OR = 1.98, 95% CI: 1.81–2.16). In addition, these significant positive associations still existed in the subgroup analysis based on study design and geographic region. CONCLUSION: Our study indicates that frailty is an independent predictor of mortality among patients with COVID-19. Thus, frailty could be a prognostic factor for clinicians to stratify high-risk groups and remind doctors and nurses to perform early screening and corresponding interventions urgently needed to reduce mortality rates in patients infected by SARS-CoV-2. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02138-5. |
format | Online Article Text |
id | pubmed-7968577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79685772021-03-18 Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis Zhang, Xiao-Ming Jiao, Jing Cao, Jing Huo, Xiao-Peng Zhu, Chen Wu, Xin-Juan Xie, Xiao-Hua BMC Geriatr Research Article BACKGROUND: A large number of studies have explored the association between frailty and mortality among COVID-19 patients, with inconsistent results. The aim of this meta-analysis was to synthesize the evidence on this issue. METHODS: Three databases, PubMed, Embase, and Cochrane Library, from inception to 20th January 2021 were searched for relevant literature. The Newcastle–Ottawa Scale (NOS) was used to assess quality bias, and STATA was employed to pool the effect size by a random effects model. Additionally, potential publication bias and sensitivity analyses were performed. RESULTS: Fifteen studies were included, with a total of 23,944 COVID-19 patients, for quantitative analysis. Overall, the pooled prevalence of frailty was 51% (95% CI: 44–59%). Patients with frailty who were infected with COVID-19 had an increased risk of mortality compared to those without frailty, and the pooled hazard ratio (HR) and odds ratio (OR) were 1.99 (95% CI: 1.66–2.38) and 2.48 (95% CI: 1.78–3.46), respectively. In addition, subgroup analysis based on population showed that the pooled ORs for hospitalized patients in eight studies and nursing home residents in two studies were 2.62 (95% CI: 1.68–4.07) and 2.09 (95% CI: 1.40–3.11), respectively. Subgroup analysis using the frailty assessment tool indicated that this association still existed when using the clinical frailty scale (CFS) (assessed in 6 studies, pooled OR = 2.88, 95% CI: 1.52–5.45; assessed in 5 studies, pooled HR = 1.99, 95% CI: 1.66–2.38) and other frailty tools (assessed in 4 studies, pooled OR = 1.98, 95% CI: 1.81–2.16). In addition, these significant positive associations still existed in the subgroup analysis based on study design and geographic region. CONCLUSION: Our study indicates that frailty is an independent predictor of mortality among patients with COVID-19. Thus, frailty could be a prognostic factor for clinicians to stratify high-risk groups and remind doctors and nurses to perform early screening and corresponding interventions urgently needed to reduce mortality rates in patients infected by SARS-CoV-2. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02138-5. BioMed Central 2021-03-17 /pmc/articles/PMC7968577/ /pubmed/33731018 http://dx.doi.org/10.1186/s12877-021-02138-5 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 | Research Article Zhang, Xiao-Ming Jiao, Jing Cao, Jing Huo, Xiao-Peng Zhu, Chen Wu, Xin-Juan Xie, Xiao-Hua Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title | Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title_full | Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title_fullStr | Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title_full_unstemmed | Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title_short | Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis |
title_sort | frailty as a predictor of mortality among patients with covid-19: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968577/ https://www.ncbi.nlm.nih.gov/pubmed/33731018 http://dx.doi.org/10.1186/s12877-021-02138-5 |
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