Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the Intensive Care Unit.

Zou, Kang; Huang, Shu; Ren, Wensen; Xu, Huan; Zhang, Wei; Shi, Xiaomin; Shi, Lei; Zhong, Xiaolin; Peng, Yan; Lü, Muhan; Tang, Xiaowei

Zou, Kang; Huang, Shu; Ren, Wensen; Xu, Huan; Zhang, Wei; Shi, Xiaomin; Shi, Lei; Zhong, Xiaolin; Peng, Yan; Lü, Muhan; Tang, Xiaowei.

Afiliación

Zou K; Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.
Huang S; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, People's Republic of China.
Ren W; Department of Gastroenterology, Lianshui County People' Hospital, Huaian, People's Republic of China.
Xu H; Department of Gastroenterology, Lianshui People' Hospital of Kangda College Affiliated to Nanjing Medical University, Huaian, People's Republic of China.
Zhang W; Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.
Shi X; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, People's Republic of China.
Shi L; Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.
Zhong X; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, People's Republic of China.
Peng Y; Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.
Lü M; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, People's Republic of China.
Tang X; Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.

Int J Gen Med ; 16: 2541-2553, 2023.

Article en En | MEDLINE | ID: mdl-37351008

Palabras clave

MIMIC-IV; acute pancreatitis; dynamic nomogram; eICU-CRD; electronic intensive care unit collaborative research database; medical information mart for intensive care-IV

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Gen Med Año: 2023 Tipo del documento: Article Pais de publicación: Nueva Zelanda

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