Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland
- PMID: 36369813
- PMCID: PMC9659484
- DOI: 10.1177/14782715221120137
Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland
Abstract
Background: COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.
Methods: We performed multivariable logistic regression to identify factors associated with in-patient mortality and intensive care unit (ICU) admission in symptomatic COVID-19 patients admitted to hospitals in South-East Scotland from 1st March to 30th June 2020. One-year mortality was reviewed.
Results: Of 726 patients (median age 72; interquartile range: 58-83 years, 55% male), 104 (14%) required ICU admission and 199 (27%) died in hospital. A further 64 died between discharge and 30th June 2021 (36% overall 1-year mortality). Stepwise logistic regression identified age >79 (odds ratio (OR), 4.77 (95% confidence interval (CI), 1.96-12.75)), male sex (OR, 1.83 (95% CI, 1.21-2.80)) and higher European Cooperative Oncology Group/World Health Organization performance status as associated with higher mortality risk.
Discussion: Poor functional baseline was the predominant independent risk factor for mortality in COVID-19. More than one-third of individuals had died by 1 year following admission.
Keywords: COVID-19; SARS-CoV2; clinical scores; frailty; mortality.
Conflict of interest statement
The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.
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- Williamson E, Walker AJ, Bhaskaran K, et al. OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients. medRxiv 2020.
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