A novel clinical prediction model for in-hospital mortality in sepsis patients complicated by ARDS: A MIMIC IV database and external validation study

Background: Sepsis complicated by ARDS significantly increases morbidity and mortality, underscoring the need for robust predictive models to enhance patient management. Methods: We collected data on 6390 patients with ARDS-complicated sepsis from the MIMIC IV database. Following rigorous data clean...

Full description

Bibliographic Details

Published in:	Heliyon
Main Authors:	Ying Chen, Chengzhu Zong, Linxuan Zou, Zhe Zhang, Tianke Yang, Junwei Zong, Xianyao Wan
Format:	Article
Language:	English
Published:	Elsevier 2024-07-01
Subjects:	Sepsis ARDS Clinical prediction model Mortality
Online Access:	http://www.sciencedirect.com/science/article/pii/S240584402409368X