Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

DataLoch COVID-19 Collaboration, Callum P Mutch, Daniella A Ross, Anda Bularga, Roo Nicola Rose Cave, Margo E Chase-Topping, Atul Anand, Nicholas L Mills, Oliver Koch, Claire L Mackintosh, Meghan R Perry

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.

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.

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.

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.
Original languageEnglish
JournalJournal of the Royal College of Physicians of Edinburgh
Publication statusPublished - 22 Aug 2022

Keywords / Materials (for Non-textual outputs)

  • COVID-19
  • frailty
  • clinical scores
  • mortality
  • SARS-CoV2


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