Development and Validation of a Nomogram Prediction Model for In-hospital Mortality in Patients with Cardiac Arrest: A Retrospective Study

Development and Validation of a Nomogram Prediction Model for In-hospital Mortality in Patients with Cardiac Arrest: A Retrospective Study

Background: Cardiac arrest (CA) is associated with high incidence and mortality rates. Hence, assessing the prognosis of CA patients is crucial for optimizing clinical treatment. This study aimed to develop and validate a clinically applicable nomogram for predicting the risk of i...

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Bibliographic Details
Main Authors: Peifeng Ni, Shurui Xu, Weidong Zhang, Chenxi Wu, Gensheng Zhang, Qiao Gu, Xin Hu, Ying Zhu, Wei Hu, Mengyuan Diao
Format: Article
Language:English
Published: IMR Press 2025-04-01
Series:Reviews in Cardiovascular Medicine
Subjects:
cardiac arrest
mortality
nomogram
prediction model
lasso regression
machine learning
Online Access:https://www.imrpress.com/journal/RCM/26/4/10.31083/RCM33387
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