CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis
Haoqi Sun, Aayushee Jain, Michael J. Leone, Haitham Alabsi, Laura Brenner, Elissa Ye, Wendong Ge, Yu-Ping Shao, Christine L. Boutros, Ruopeng Wang, Ryan A. Tesh, Colin Magdamo, Sarah Isabel Collens, Wolfgang Ganglberger, Ingrid V. Bassett, James B. Meigs, Jayashree Kalpathy–Cramer, Matthew Li, Jacqueline T. Chu, Michael Dougan, Lawrence W. Stratton, Jonathan Rosand, Bruce Fischl, Sudeshna Das, Shibani S. Mukerji, Gregory K. Robbins, M. Brandon Westover
Abstract
BACKGROUND: We sought to develop an automatable score to predict hospitalization, critical illness, or death for patients at risk for coronavirus disease 2019 (COVID-19) presenting for urgent care. METHODS: We developed the COVID-19 Acuity Score (CoVA) based on a single-center study of adult outpatients seen in respiratory illness clinics or the emergency department. Data were extracted from the Partners Enterprise Data Warehouse, and split into development (n = 9381, 7 March-2 May) and prospective (n = 2205, 3-14 May) cohorts. Outcomes were hospitalization, critical illness (intensive care unit or ventilation), or death within 7 days. Calibration was assessed using the expected-to-observed event ratio (E/O). Discrimination was assessed by area under the receiver operating curve (AUC). RESULTS: In the prospective cohort, 26.1%, 6.3%, and 0.5% of patients experienced hospitalization, critical illness, or death, respectively. CoVA showed excellent performance in prospective validation for hospitalization (expected-to-observed ratio [E/O]: 1.01; AUC: 0.76), for critical illness (E/O: 1.03; AUC: 0.79), and for death (E/O: 1.63; AUC: 0.93). Among 30 predictors, the top 5 were age, diastolic blood pressure, blood oxygen saturation, COVID-19 testing status, and respiratory rate. CONCLUSIONS: CoVA is a prospectively validated automatable score for the outpatient setting to predict adverse events related to COVID-19 infection.