Article: Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients.
2021 Volume 12, Issue 5, Page(s) 1065–1073
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 ... ...
| 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. |
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| MeSH term(s) | COVID-19 ; Comorbidity ; Frailty/diagnosis ; Humans ; Retrospective Studies ; SARS-CoV-2 |
| Language | English |
| Publishing date | 2021-06-04 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2556794-9 |
| ISSN | 1878-7657 ; 1878-7649 |
| ISSN (online) | 1878-7657 |
| ISSN | 1878-7649 |
| DOI | 10.1007/s41999-021-00508-1 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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