• Minerva medica · Feb 2021

    Clinical stability and in-hospital mortality prediction in COVID-19 patients presenting to the Emergency Department.

    • Francesco Gavelli, Luigi M Castello, Mattia Bellan, Danila Azzolina, Eyal Hayden, Michela Beltrame, Alessandra Galbiati, Clara A Gardino, Maria L Gastaldello, Francesca Giolitti, Emanuela Labella, Filippo Patrucco, Pier P Sainaghi, and Gian C Avanzi.
    • Department of Translational Medicine, Eastern Piedmont University, Novara, Italy - francesco.gavelli@uniupo.it.
    • Minerva Med. 2021 Feb 1; 112 (1): 118-123.

    BackgroundThe Novara-COVID score was developed to help the emergency physician to decide which Coronavirus disease (COVID) patient required hospitalization at Emergency Department (ED) presentation and to which intensity of care. We aimed at evaluating its prognostic role.MethodsWe retrospectively collected data of COVID patients admitted to our ED between March 16 and April 22, 2020. The Novara-COVID score was systematically applied to all COVID patients since its introduction in clinical practice and adopted to decide patients' destination. The ability of the Novara-COVID score to predict in-hospital clinical stability and in-hospital mortality were evaluated through multivariable logistic regression and cox regression hazard models, respectively.ResultsAmong the 480 COVID patients admitted to the ED, 338 were hospitalized: the Novara-COVID score was 0-1 in 49.7%, 2 in 24.6%, 3 in 15.4% and 4-5 in 10.3% of patients. Novara-COVID score values of 3 and 4-5 were associated with lower clinical stability with adjusted odds ratios of 0.28 (0.13-0.59) and 0.03 (0.01-0.12), respectively. When in-hospital mortality was evaluated, a significant difference emerged between scores of 0-1 and 2 vs. 3 and 4-5. In particular, the death adjusted hazard ratio for Novara-COVID scores of 3 and 4-5 were 2.6 (1.4-4.8) and 8.4 (4.7-15.2), respectively.ConclusionsThe Novara-COVID score reliably predicts in-hospital clinical instability and mortality of COVID patients at ED presentation. This tool allows the emergency physician to detect patients at higher risk of clinical deterioration, suggesting a more aggressive therapeutic management from the beginning.

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