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Clinical Risk Prediction Scores in Coronavirus Disease 2019: Beware of Low Validity and Clinical Utility

Haamed Al Hassan, Eve Cocks, Lara Jesani, Sally Lewis, Tamás Szakmány

2020Critical Care Explorations14 citationsDOIOpen Access PDF

Abstract

Several risk stratification tools were developed to predict disease progression in coronavirus disease 2019, with no external validation to date. We attempted to validate three previously published risk-stratification tools in a multicenter study. Primary outcome was a composite outcome of development of severe coronavirus disease 2019 disease leading to ICU admission or death censored at hospital discharge or 30 days. We collected data from 169 patients. Patients were 73 years old (59-82 yr old), 66 of 169 (39.1%) were female, 57 (33.7%) had one comorbidity, and 80 (47.3%) had two or more comorbidities. Area under the receiver operating characteristic curve (95% CI) for the COVID-GRAM score was 0.636 (0.550-0.722), for the CALL score 0.500 (0.411-0.589), and for the nomogram 0.628 (0.543-0.714).

Topics & Concepts

NomogramMedicineComorbidityCoronavirus disease 2019 (COVID-19)Receiver operating characteristicRisk stratificationCoronavirusDiseaseInternal medicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Risk assessmentEmergency medicineSeverity of illnessInfectious disease (medical specialty)Computer securityComputer scienceCOVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 ResearchCOVID-19 and healthcare impacts
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