Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivariate Joint Model and Machine Learning Study

<b>Background/Objective:</b> Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red blood cell distribution width (RDW) is recognized as a potential prognostic biomarker, its variations during ICU admission and its interaction with treatments s...

Full description

Saved in:

Bibliographic Details
Main Authors:	Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Diagnostics
Subjects:	cardiomyopathy ICU mortality red blood cell distribution width β-blockers dynamic monitoring Bayesian multivariate joint model
Online Access:	https://www.mdpi.com/2075-4418/15/10/1236
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivariate Joint Model and Machine Learning Study

Similar Items