Evidence map›Paper›PMID 41267088›Full record

ArticleRespiratory research2025

CT-assessed thoracic sarcopenia as an independent prognostic marker in patients with pleural infections: a retrospective cohort study.

Jimi Oh, Chul Park, Yunho Kang, Seung Won Ra

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Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Jimi Oh *Department of Anesthesiology and Pain Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Chul Park *Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, 25 Daehakbyeongwon-ro, Ulsan, 44033, Republic of Korea.
Yunho KangDepartment of Anesthesiology and Pain Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Seung Won RaDepartment of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, 25 Daehakbyeongwon-ro, Ulsan, 44033, Republic of Korea. docra@uuh.ulsan.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is associated with poor clinical outcomes in patients with pleural infections. Body composition, measured using computed tomography (CT), is an objective, patient-specific factor in the frailty index and a strong predictor of mortality in critically ill patients. Therefore, this study aimed to investigate the association between body composition and 1-year mortality in patients with pleural infections.

methodsWe retrospectively reviewed the medical records of patients with pleural infections between January 2010 and December 2019. Chest CT scans at the fourth (T4) vertebra level were analyzed using SliceOmatic software to measure the cross-sectional skeletal muscle area and the intramuscular fat area. The skeletal muscle index (SMI) and the intramuscular fat index (IMFI) were calculated by normalizing muscle and fat areas to height squared. The fat-to-muscle ratio (FMR) was derived by dividing the IMFI by the SMI. Sex-specific cutoffs for low SMI or high FMR were used to define thoracic sarcopenia. Time to death was compared between patients with and without thoracic sarcopenia using Kaplan - Meier survival analysis and log-rank tests. Cox regression was used to evaluate independent predictors of 1-year mortality.

resultsIn total, 303 patients hospitalized for pleural infections were included. The 1-year mortality rate was higher in patients with thoracic sarcopenia than in those without sarcopenia. Multivariable Cox regression analyses revealed an independent association between thoracic sarcopenia and 1-year mortality rate (low SMI: hazard ratio [HR], 6.04; 95% confidence interval [CI], 3.65 - 11.25; P = 0.001; high FMR: HR, 2.30; 95% CI, 1.45 - 3.66; P = 0.001).

conclusionsThoracic sarcopenia is independently associated with an increased risk of 1-year mortality in patients with pleural infection. Therefore, evaluating thoracic sarcopenia on admission for patients with pleural infection is crucial.

Indexed as

SarcopeniaTomography, X-Ray ComputedAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesBody compositionComputed tomographyPleural infectionPrognosisSarcopenia

Identifiers

PMID41267088
PMCPMC12636218

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