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External validation of a clinical risk score to predict hospital admission and in-hospital mortality in COVID-19 patients.
Halalau, Alexandra; Imam, Zaid; Karabon, Patrick; Mankuzhy, Nikhil; Shaheen, Aciel; Tu, John; Carpenter, Christopher.
  • Halalau A; Internal Medicine Department, Beaumont Health, Royal Oak, MI, USA.
  • Imam Z; Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
  • Karabon P; Internal Medicine Department, Beaumont Health, Royal Oak, MI, USA.
  • Mankuzhy N; Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
  • Shaheen A; Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
  • Tu J; Internal Medicine Department, Beaumont Health, Royal Oak, MI, USA.
  • Carpenter C; Internal Medicine Department, Beaumont Health, Royal Oak, MI, USA.
Ann Med ; 53(1): 78-86, 2021 12.
Artículo en Inglés | MEDLINE | ID: covidwho-804912
ABSTRACT

BACKGROUND:

Identification of patients with novel coronavirus disease 2019 (COVID-19) requiring hospital admission or at high-risk of in-hospital mortality is essential to guide patient triage and to provide timely treatment for higher risk hospitalized patients.

METHODS:

A retrospective multi-centre (8 hospital) cohort at Beaumont Health, Michigan, USA, reporting on COVID-19 patients diagnosed between 1 March and 1 April 2020 was used for score validation. The COVID-19 Risk of Complications Score was automatically computed by the EHR. Multivariate logistic regression models were built to predict hospital admission and in-hospital mortality using individual variables constituting the score. Validation was performed using both discrimination and calibration.

RESULTS:

Compared to Green scores, Yellow Scores (OR 5.72) and Red Scores (OR 19.1) had significantly higher odds of admission (both p < .0001). Similarly, Yellow Scores (OR 4.73) and Red Scores (OR 13.3) had significantly higher odds of in-hospital mortality than Green Scores (both p < .0001). The cross-validated C-Statistics for the external validation cohort showed good discrimination for both hospital admission (C = 0.79 (95% CI 0.77-0.81)) and in-hospital mortality (C = 0.75 (95% CI 0.71-0.78)).

CONCLUSIONS:

The COVID-19 Risk of Complications Score predicts the need for hospital admission and in-hospital mortality patients with COVID-19. Key points Can an electronic health record generated risk score predict the risk of hospital admission and in-hospital mortality in patients diagnosed with coronavirus disease 2019 (COVID-19)? In both validation cohorts of 2,025 and 1,290 COVID-19, the cross-validated C-Statistics showed good discrimination for both hospital admission (C = 0.79 (95% CI 0.77-0.81)) and in-hospital mortality (C = 0.75 (95% CI 0.71-0.78)), respectively. The COVID-19 Risk of Complications Score may help predict the need for hospital admission if a patient contracts SARS-CoV-2 infection and in-hospital mortality for a hospitalized patient with COVID-19.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Mortalidad Hospitalaria / Enfermedad Crítica / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Adulto / Anciano / Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: Ann Med Asunto de la revista: Medicina Año: 2021 Tipo del documento: Artículo País de afiliación: 07853890.2020.1828616

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Mortalidad Hospitalaria / Enfermedad Crítica / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Adulto / Anciano / Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: Ann Med Asunto de la revista: Medicina Año: 2021 Tipo del documento: Artículo País de afiliación: 07853890.2020.1828616