Prediction of COVID-19-related Mortality and 30-Day and 60-Day Survival Probabilities Using a Nomogram.

Moon, Hui Jeong; Kim, Kyunghoon; Kang, Eun Kyeong; Yang, Hyeon-Jong; Lee, Eun

Moon, Hui Jeong; Kim, Kyunghoon; Kang, Eun Kyeong; Yang, Hyeon-Jong; Lee, Eun.

Afiliación

Moon HJ; SCH Biomedical Informatics Research Unit, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Kim K; STAT Team, C&R Research Inc., Seoul, Korea.
Kang EK; Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yang HJ; Department of Pediatrics, Dongguk University Ilsan Hospital, Goyang, Korea.
Lee E; Department of Pediatrics, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea. pedyang@schmc.ac.kr.

J Korean Med Sci ; 36(35): e248, 2021 Sep 06.

Article en En | MEDLINE | ID: mdl-34490756

Asunto(s)

COVID-19/mortalidad; Nomogramas; SARS-CoV-2; Adolescente; Adulto; Anciano; Anciano de 80 o más Años; Niño; Preescolar; Femenino; Humanos; Lactante; Recién Nacido; Modelos Logísticos; Masculino; Persona de Mediana Edad; Probabilidad; Modelos de Riesgos Proporcionales; Índice de Severidad de la Enfermedad; Adulto Joven

Palabras clave

COVID-19; Mortality; Nomogram; Underlying Diseases

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nomogramas / SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Año: 2021 Tipo del documento: Article

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