Early prediction of survival at different time intervals in sepsis patients: A visualized prediction model with nomogram and observation study

Early prediction of survival at different time intervals in sepsis patients: A visualized prediction model with nomogram and observation study

Objectives: Sepsis is a major cause of death around the world. Complicated scoring systems require time to have data to predict short-term survival. Intensivists need a tool to predict survival in sepsis patients easily and quickly. Materials and Methods: This retrospective study reviewed the medica...

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Bibliographic Details
Main Authors: Shih-Hong Chen, Yi-Chia Wang, Anne Chao, Chih-Min Liu, Ching-Tang Chiu, Ming-Jiuh Wang, Yu-Chang Yeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Tzu Chi Medical Journal
Subjects:
cox proportion hazard model
nomogram
sepsis
survival
Online Access:http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2022;volume=34;issue=1;spage=55;epage=61;aulast=Chen
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http://www.tcmjmed.com/article.asp?issn=1016-3190;year=2022;volume=34;issue=1;spage=55;epage=61;aulast=Chen

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