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Meta-Analysis
. 2021 Sep;69(9):2419-2429.
doi: 10.1111/jgs.17299. Epub 2021 Jun 5.

Association of frailty with outcomes in individuals with COVID-19: A living review and meta-analysis

Flavia Dumitrascu  1 , Karina E Branje  2   3 , Emily S Hladkowicz  2   3   4 , Manoj Lalu  2   3   5 , Daniel I McIsaac  2   3   5   6
Affiliations
Meta-Analysis

Association of frailty with outcomes in individuals with COVID-19: A living review and meta-analysis

Flavia Dumitrascu et al. J Am Geriatr Soc. 2021 Sep.

Abstract

Background and objectives: Frailty leaves older adults vulnerable to adverse health outcomes. Frailty assessment is recommended by multiple COVID-19 guidelines to inform care and resource allocation. We aimed to identify, describe, and synthesize studies reporting the association of frailty with outcomes (informed by the Institute for Healthcare Improvement's Triple Aim [health, resource use, and experience]) in individuals with COVID-19.

Design: Systematic review and meta-analysis.

Setting: Studies reporting associations between frailty and outcomes in the setting of COVID-19 diagnosis.

Participants: Adults with COVID-19.

Measurements: Following review of titles, abstracts and full text, we included 52 studies that contained 118,373 participants with COVID-19. Risk of bias was assessed using the Quality in Prognostic studies tool. Our primary outcome was mortality, secondary outcomes included delirium, intensive care unit admission, need for ventilation and discharge location. Where appropriate, random-effects meta-analysis was used to pool adjusted and unadjusted effect measures by frailty instrument.

Results: The Clinical Frailty Scale (CFS) was the most used frailty instrument. Mortality was reported in 37 studies. After confounder adjustment, frailty identified using the CFS was significantly associated with mortality in COVID-19 positive patients (odds ratio 1.79, 95% confidence interval [CI] 1.49-2.14; hazard ratio 1.87, 95% CI 1.33-2.61). On an unadjusted basis, frailty identified using the CFS was significantly associated with increased odds of delirium and reduced odds of intensive care unit admission. Results were generally consistent using other frailty instruments. Patient-reported, cost and experience outcomes were rarely reported.

Conclusion: Frailty is associated with a substantial increase in mortality risk in COVID-19 patients, even after adjustment. Delirium risk is also increased. Frailty assessment may help to guide prognosis and individualized care planning, but data relating frailty status to patient-reported outcomes are urgently needed to provide a more comprehensive overview of outcomes relevant to older adults.

Keywords: COVID-19; frailty; living review; outcomes.

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Conflict of interest statement

The authors report no relevant conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Preferred Reporting Items for Systematic reviews and Meta‐Analyses flow diagram for study selection and inclusion
FIGURE 2
FIGURE 2
(A) Forest plot of adjusted odds ratio (OR) mortality data for frailty based on the Clinical Frailty Scale. Confidence interval (CI) indicates confidence interval. (B) Forest plot of adjusted hazard ratio (HR) mortality data for frailty based on the Clinical Frailty Scale. CI indicates confidence interval
FIGURE 3
FIGURE 3
Summary of pooled, unadjusted odds ratios for frailty based on the Clinical Frailty Scale
See this image and copyright information in PMC

References

    1. Centers for Disease Control and Prevention . Severe outcomes among patients with coronavirus disease 2019 (COVID‐19)—United States, February 12–March 16, 2020. MMWR Morb Mortal Wkly Rep. 2020;69:343‐346. 10.15585/mmwr.mm6912e2 - DOI - PMC - PubMed
    1. Onder G, Rezza G, Brusaferro S. Case‐fatality rate and characteristics of patients dying in relation to COVID‐19 in Italy. JAMA. 2020;323(18):1775‐1776. 10.1001/jama.2020.4683 - DOI - PubMed
    1. Ma C, Gu J, Hou P, et al. Incidence, clinical characteristics and prognostic factor of patients with COVID‐19: a systematic review and meta‐analysis. medRxiv. 2020;1‐22.
    1. Nickel CH, Rueegg M, Pargger H, Bingisser R. Age, comorbidity, frailty status: effects on disposition and resource allocation during the COVID‐19 pandemic. Swiss Med Wkly. 2020;150(April):w20269. 10.4414/smw.2020.20269 - DOI - PubMed
    1. Rockwood K, Song X, MacKnight C, et al. A global clinical measure of fitness and frailty in elderly people. Can Med Assoc J. 2005;173(5):489‐495. 10.1503/cmaj.050051 - DOI - PMC - PubMed

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