Development and validation of a predictive model for continuous renal replacement therapy in sepsis patients using the MIMIC-IV database

Development and validation of a predictive model for continuous renal replacement therapy in sepsis patients using the MIMIC-IV database

Abstract To develop and validate a dynamic nomogram for predicting the need for continuous renal replacement therapy (CRRT) in septic patients in the intensive care unit (ICU). Data were extracted from the MIMIC-IV 3.0 database and divided into a training set and a validation set in a 7:3 ratio. Rel...

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Bibliographic Details
Main Authors: Binglin Song, Ping Liu, Chun Liu, Kangrui Fu, Xiangde Zheng, Ying Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Intensive care unit
Sepsis
Continuous renal replacement therapy
Prediction
Dynamic nomogram
Online Access:https://doi.org/10.1038/s41598-025-07647-6
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