Development of a nomogram to predict in-hospital mortality of trauma patients in the ICU: an analysis of the MIMIC-IV database

Abstract Treatment of patients with severe trauma remains challenging. This study aimed to identify risk factors for all-cause mortality in ICU trauma patients to construct a predictive model. 2205 trauma patients were selected from the MIMIC-IV database, and 49 ICU indicators were obtained. All tra...

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Hauptverfasser:	Yiqian Zeng, Nieqiong Tan, Xiaoyan He, Suna Peng, Eryue Qiu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-01-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Trauma patients Intensive care unit indicators Nomogram model MIMIC-IV database
Online-Zugang:	https://doi.org/10.1038/s41598-026-38251-x
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