• Lauren J Scott, Alison Tavaré, Elizabeth M Hill, Lesley Jordan, Mark Juniper, Seema Srivastava, Emma Redfern, Hannah Little, and Anne Pullyblank.
• NIHR ARC West, University Hospitals Bristol NHS Foundation Trust, Bristol, UK Lauren.Scott@bristol.ac.uk.
• Emerg Med J. 2022 Aug 1; 39 (8): 589-594.

BackgroundNational Early Warning Scores (NEWS2) are used to detect all-cause deterioration. While studies have looked at NEWS2, the use of virtual consultation and remote monitoring of patients with COVID-19 mean there is a need to know which physiological observations are important.AimTo investigate the relationship between outcome and NEWS2, change in NEWS2 and component physiology in COVID-19 inpatients.MethodsA multi-centre retrospective study of electronically recorded, routinely collected physiological measurements between March and June 2020. First and maximum NEWS2, component scores and outcomes were recorded. Areas under the curve (AUCs) for 2-day, 7-day and 30-day mortality were calculated.ResultsOf 1263 patients, 26% died, 7% were admitted to intensive care units (ICUs) before discharge and 67% were discharged without ICU. Of 1071 patients with initial NEWS2, most values were low: 50% NEWS2=0-2, 27% NEWS2=3-4, 14% NEWS2=5-6 and 9% NEWS2=7+. Maximum scores were: 14% NEWS2=0-2, 22% NEWS2=3-4, 17% NEWS2=5-6 and 47% NEWS2=7+. Higher first and maximum scores were predictive of mortality, ICU admission and longer length of stay. AUCs based on 2-day, 7-day, 30-day and any hospital mortality were 0.77 (95% CI 0.70 to 0.84), 0.70 (0.65 to 0.74), 0.65 (0.61 to 0.68) and 0.65 (0.61 to 0.68), respectively. The AUCs for 2-day mortality were 0.71 (0.65 to 0.77) for supplemental oxygen, 0.65 (0.56 to 0.73) oxygen saturation and 0.64 (0.56 to 0.73) respiratory rate.ConclusionWhile respiratory parameters were most predictive, no individual parameter was as good as a full NEWS2, which is an acceptable predictor of short-term mortality in patients with COVID-19. This supports recommendation to use NEWS2 alongside clinical judgement to assess patients with COVID-19.© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

11 keywords...

hide…