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. 2021 Oct;12(5):1065-1073.
doi: 10.1007/s41999-021-00508-1. Epub 2021 Jun 4.

Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients

Gouri Koduri  1 , Sriya Gokaraju  2 , Maria Darda  2 , Vinod Warrier  3 , Irina Duta  3 , Fiona Hayes  1 , Iman El Sayed  4 , Yasser Noeman-Ahmed  5   6   7
Affiliations

Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients

Gouri Koduri et al. Eur Geriatr Med. 2021 Oct.

Abstract

Purpose of the study: We explored potential predictive variables associated with outcomes using baseline clinical parameters of 500 hospitalised patients with COVID -19 in a single centre, UK.

Methods: Retrospective study collecting demographic and clinical characteristics of patients admitted at Southend University Hospital from 20th February to 7th May 2020.

Results: The mean age of the cohort admitted to hospital with Covid-19 was 69.4 and 58% were over 70. Comorbidities were more frequently observed in non-survivors, whose mean Clinical Frailty Scale was significantly higher (5 vs 3) than survivors, p < 0.001. In addition, mean C-reactive protein was significantly higher.

Conclusion: Older and frailer patients with high inflammatory markers were at risk of poor outcomes. Integrated frailty and age-based risk stratification is essential, in addition to monitoring saturation /FiO2 ratio (SFR) and inflammatory markers throughout the disease course to allow for early intervention to improve patient outcomes. A frailty-based risk-stratification approach, rather than age may prove more valuable when considering interventions in patients with multiple comorbidities.

Keywords: COVID-19; Epidemiological characteristics; Prognostic factors; Sars-Cov-2.

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Conflict of interest statement

Dr. GK, SG, MD, VW, FH, ID and YA have nothing to disclose.

All authors had no competing interests.

References

    1. Who.int (2020) WHO Situation Report—163. Available at: <https://www.who.int/docs/default-source/coronaviruse/situation-reports/2...>. Accessed 2 July 2020.
    1. Yang J, Zheng Y, Gou X, et al. Prevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–95. doi: 10.1016/j.ijid.2020.03.017. - DOI - PMC - PubMed
    1. Grasselli G, Zangrillo A, Zanella A et al. Baseline characteristics and outcomes of 1591 patients infected with SARS- CoV-2 admitted to ICUs of the Lombardy Region, Italy. JAMA doi: 10.1001/jama.2020.5394. Accessed 7 Apr 2020 - PMC - PubMed
    1. Petrilli CM, Jones SA, Yang J et al. Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City [e-pub ahead of print]. medRxiv. Doi: 10.1101/2020.04.08.20057794. Accessed 14 Apr 2020
    1. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–1062. doi: 10.1016/S0140-6736(20)30566-3. - DOI - PMC - PubMed