Development of a Nomogram for Predicting Mortality Risk in Sepsis Patients During Hospitalization: A Retrospective Study.

Lu, Bin; Pan, Xinling; Wang, Bin; Jin, Chenyuan; Liu, Chenxin; Wang, Mengqi; Shi, Yunzhen

Lu, Bin; Pan, Xinling; Wang, Bin; Jin, Chenyuan; Liu, Chenxin; Wang, Mengqi; Shi, Yunzhen.

Afiliación

Lu B; Department of Infectious Diseases, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Pan X; Department of Biomedical Sciences Laboratory, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, People's Republic of China.
Wang B; Department of Emergency, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Jin C; Department of Infectious Diseases, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Liu C; Department of Infectious Diseases, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Wang M; Department of Neurology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Shi Y; Department of Infectious Diseases, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.

Infect Drug Resist ; 16: 2311-2320, 2023.

Article en En | MEDLINE | ID: mdl-37155474

Palabras clave

SOFA; mortality risk prediction; nomogram; random forest; severe sepsis; stacking

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Infect Drug Resist Año: 2023 Tipo del documento: Article

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