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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41999-021-00508-1.
Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients