Author: Sun, Haoqi; Jain, Aayushee; Leone, Michael J; Alabsi, Haitham S; Brenner, Laura N; Ye, Elissa; Ge, Wendong; Shao, Yu-Ping; Boutros, Christine L; Wang, Ruopeng; Tesh, Ryan A; Magdamo, Colin; Collens, Sarah I; Ganglberger, Wolfgang; Bassett, Ingrid V; Meigs, James B; Kalpathy-Cramer, Jayashree; Li, Matthew D; Chu, Jacqueline T; Dougan, Michael L; Stratton, Lawrence W; Rosand, Jonathan; Fischl, Bruce; Das, Sudeshna; Mukerji, Shibani S; Robbins, Gregory K; Westover, M Brandon
Title: CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis Cord-id: r7o1q6nk Document date: 2020_10_24
ID: r7o1q6nk
Snippet: 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 prospe
Document: 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.
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