ABC2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores

COVID-19 (Malaltia) - Mortalitat Infectious and parasitic diseases RC109-216 Article 03 medical and health sciences 0302 clinical medicine SDG 3 - Good Health and Well-being Risk Factors Mortalitat - Estadístiques :Other subheadings::Other subheadings::Other subheadings::/mortality [Other subheadings] :virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES] :técnicas de investigación::métodos epidemiológicos::recopilación de datos::estadísticas vitales::mortalidad::mortalidad hospitalaria [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS] Humans Hospital Mortality Mortality :Diagnosis::Prognosis [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT] :Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Mortality::Hospital Mortality [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT] :diagnóstico::pronóstico [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS] Aged Retrospective Studies Hospitalizations COVID-19 (Malaltia) - Prognosi :Otros calificadores::Otros calificadores::Otros calificadores::/mortalidad [Otros calificadores] SARS-CoV-2 Score COVID-19 :Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES] Middle Aged Prognosis 3. Good health Hospitalization Risk factors
DOI: 10.1016/j.ijid.2021.07.049 Publication Date: 2021-07-24T05:33:50Z
AUTHORS (118)
ABSTRACT
The majority of available scores to assess mortality risk of coronavirus disease 2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore, this cohort aimed to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients and to compare this score with other existing ones.Consecutive patients (≥ 18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March-July, 2020. The model was validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients.Median (25-75th percentile) age of the model-derivation cohort was 60 (48-72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO2/FiO2 ratio, platelet count, and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829-0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833-0.885]) and Spanish (0.894 [95% CI 0.870-0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/).An easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation was designed and validated for early stratification of in-hospital mortality risk of patients with COVID-19.
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