A predictive score for progression of COVID-19 in hospitalized persons: a cohort study.
NPJ Prim Care Respir Med
; 31(1): 33, 2021 06 03.
Artículo
en Inglés
| MEDLINE | ID: covidwho-1258582
ABSTRACT
Accurate prediction of the risk of progression of coronavirus disease (COVID-19) is needed at the time of hospitalization. Logistic regression analyses are used to interrogate clinical and laboratory co-variates from every hospital admission from an area of 2 million people with sporadic cases. From a total of 98 subjects, 3 were severe COVID-19 on admission. From the remaining subjects, 24 developed severe/critical symptoms. The predictive model includes four co-variates age (>60 years; odds ratio [OR] = 12 [2.3, 62]); blood oxygen saturation (<97%; OR = 10.4 [2.04, 53]); C-reactive protein (>5.75 mg/L; OR = 9.3 [1.5, 58]); and prothrombin time (>12.3 s; OR = 6.7 [1.1, 41]). Cutoff value is two factors, and the sensitivity and specificity are 96% and 78% respectively. The area under the receiver-operator characteristic curve is 0.937. This model is suitable in predicting which unselected newly hospitalized persons are at-risk to develop severe/critical COVID-19.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
COVID-19
/
Hospitalización
Tipo de estudio:
Estudio de cohorte
/
Estudios diagnósticos
/
Estudio observacional
/
Estudio pronóstico
Límite:
Adolescente
/
Adulto
/
Anciano
/
Niño
/
Child, preschool
/
Femenino
/
Humanos
/
Lactante
/
Masculino
/
Middle aged
Idioma:
Inglés
Revista:
NPJ Prim Care Respir Med
Año:
2021
Tipo del documento:
Artículo
País de afiliación:
S41533-021-00244-w
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