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

The assessment of frailty status and visceral obesity, determined by chest CT measurements of low thoracic muscle mass and elevated AC, is independently correlated with an increased risk of admission to the MICU and mortality among sepsis patients with pneumonia. This underscores the significance of CT-derived body composition as a critical imaging biomarker that reflects the physiological reserve of sepsis patients and their associated risk of adverse events.

Authors

Institutions

Publication Details

Journal
Annals of Medicine
Published
2025-11-10
DOI
https://doi.org/10.1080/07853890.2025.2584421
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Xinyu Li, Qiuyue Wang, Rui Zheng, Xin Qiao
Annals of Medicine
Sepsis Diagnosis and Treatment
article

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

Xinyu Li, Qiuyue Wang, Rui Zheng, Xin Qiao
article en

Abstract

The assessment of frailty status and visceral obesity, determined by chest CT measurements of low thoracic muscle mass and elevated AC, is independently correlated with an increased risk of admission to the MICU and mortality among sepsis patients with pneumonia. This underscores the significance of CT-derived body composition as a critical imaging biomarker that reflects the physiological reserve of sepsis patients and their associated risk of adverse events.

Annals of MedicineVol. 57(1)
First Hospital of China Medical University (CN), China Medical University (CN)
Openalex Percentile: Top 56%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.