RT Journal Article
SR Electronic
T1 Utility of severity assessment tools in COVID-19 pneumonia: a multicentre observational study
JF Clinical Medicine
JO Clin Med
FD Royal College of Physicians
SP 63
OP 70
DO 10.7861/clinmed.2020-1107
VO 22
IS 1
A1 Asim Ahmed
A1 Sayed A Alderazi
A1 Rumaisa Aslam
A1 Barooq Barkat
A1 Bethan L Barker
A1 Rahul Bhat
A1 Samuel Cassidy
A1 Louise E Crowley
A1 Davinder PS Dosanjh
A1 Hussain Ebrahim
A1 Najla Elndari
A1 Claudia Gardiner
A1 Atena Gogokhia
A1 Frances S Grudzinska
A1 Megha T Gurung
A1 Terry Hughes
A1 Iyad Ismail
A1 Natasha Iredale
A1 Sannaan Irshad
A1 Sarah Johnson
A1 Diana Kavanagh
A1 Thomas Knight
A1 Alana Livesey
A1 Sebastian T Lugg
A1 Manoj Marathe
A1 Andrew McDougall
A1 Wasim Nawaz
A1 Kimberly Nettleton
A1 Lauren O’Flynn
A1 Kelvin Okoth
A1 Dhruv Parekh
A1 Rita Perry
A1 Elizabeth J Pudney
A1 Ambreen Sadiq
A1 Olutobi Soge
A1 Rhania Soloman
A1 Marina Soltan
A1 Martin Strecker
A1 Onn S Thein
A1 David Thickett
A1 Ajit Thomas
A1 Riah Thornton
YR 2022
UL http://www.rcpjournals.org/content/22/1/63.abstract
AB Background Severity scores in pneumonia and sepsis are being applied to SARS-CoV-2 infection. We aimed to assess whether these severity scores are accurate predictors of early adverse outcomes in COVID-19.Methods We conducted a multicentre observational study of hospitalised SARS-CoV-2 infection. We assessed risk scores (CURB65, qSOFA, Lac-CURB65, MuLBSTA and NEWS2) in relation to admission to intensive care or death within 7 days of admission, defined as early severe adverse events (ESAE). The 4C Mortality Score was also assessed in a sub-cohort of patients.Findings In 2,387 participants, the overall mortality was 18%. In all scores examined, increasing score was associated with increased risk of ESAE. Area under the curve (AUC) to predict ESAE for CURB65, qSOFA, Lac-CURB65, MuLBSTA and NEWS2 were 0.61, 0.62, 0.59, 0.59 and 0.68, respectively. AUC to predict ESAE was 0.60 with ISARIC 4C Mortality Score.Conclusion None of the scores examined accurately predicted ESAE in SARS-CoV-2 infection. Non-validated scores should not be used to inform clinical decision making in COVID-19.