Chest CT-derived body composition parameters for outcome prediction in sepsis patients with pneumonia.

ABSTRACT:

Objective

We aim to evaluate the potential contribution of chest computed tomography (CT)-derived body composition parameters in predicting adverse events in sepsis patients with pneumonia.

Methods

A retrospective study was conducted on sepsis with pneumonia cases who visited Shengjing Hospital of China Medical University from January 2023 to September 2024. We used chest CT scans to quantify skeletal muscle area (SMA) at the fourth thoracic vertebra (T4) and the first lumbar vertebra (L1) levels, as well as abdominal circumference (AC), subcutaneous adipose tissue (SAT), and intramuscular adipose tissue (IMAT) at the L1 level.

Results

A total of 303 patients (203 men; median age 70 years, interquartile range 63-79) were included in the study. Fully adjusted models id

SUBMITTER: Qiao X 

PROVIDER: S-EPMC12604109 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature