Open AccessEarly prediction of survival at different time intervals in sepsis patients: A visualized prediction model with nomogram and observation study
Author(s) -
Yu-Chang Yeh,
Shih-Hong Chen,
Yi-Chia Wang,
Anne Chao,
Chih-Min Liu,
Ching-Tang Chiu,
Shuo-Meng Wang
Publication year - 2022
Publication title -
tzu-chi medical journal/cí-jì yīxué
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.343
H-Index - 15
eISSN - 2223-8956
pISSN - 1016-3190
DOI - 10.4103/tcmj.tcmj_3_21
Subject(s) - medicine , nomogram , sepsis , glasgow coma scale , proportional hazards model , concordance , hazard ratio , retrospective cohort study , emergency medicine , survival analysis , medical record , intensive care medicine , surgery , confidence interval
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.