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Dataset Information

Association between body temperature and all-cause mortality in patients with sepsis: analysis of the MIMIC-IV database.


ABSTRACT:

Background

Abnormal body temperature (fever or hypothermia) is a critical symptom in sepsis and is strongly associated with clinical prognosis and disease progression. Given the duality and variability of body temperature fluctuations throughout the disease course, further research is essential to refine clinical strategies for temperature management in sepsis patients.

Methods

We extracted clinical data of sepsis patients from the MIMIC-IV database. A restricted cubic spline (RCS) curve was employed to describe the non-linear relationship between body temperature and clinical outcomes. Based on peak temperature within the first 24 h after admission, patients were categorized into three groups: < 36 °C, 36-38 °C, and > 38 °C. We subsequently matched patients one-to-one into

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC11673708 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature