Open AccessComparison of Two Predictive Models of Sepsis in Critically Ill Patients Based on the Combined Use of Inflammatory Markers
Author(s) -
Xiaoming Li,
Chao Liu,
Xiaoli Wang,
Min Zhi,
Haiyang Yi,
Feihu Zhou
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s348797
Subject(s) - medicine , nomogram , procalcitonin , sepsis , logistic regression , receiver operating characteristic , systemic inflammatory response syndrome , area under the curve , odds ratio , intensive care unit , cohort , intensive care medicine
Sepsis is a systemic inflammatory response due to infection, resulting in organ dysfunction. Timely targeted interventions can improve prognosis. Inflammation plays a crucial role in the process of sepsis. To identify potential sepsis early, we developed and validated a nomogram model and a simple risk scoring model for predicting sepsis in critically ill patients.