Evidence map›Paper›PMID 42404998›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Prognostic Value of Chest CT-Derived Pectoralis Muscle Metrics for In-Hospital Mortality and Invasive Mechanical Ventilation in AECOPD.

Yu Zhang, Naer An, Yiteng Zhang, Zejun Liang, Jianrong He, Zhenlin Li, Yongchun Shen, Jing Tang

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2026. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu Zhang *Department of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Naer An *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0009-0002-7484-5965
Yiteng ZhangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Zejun LiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Jianrong HeDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Zhenlin LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yongchun ShenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0002-8142-1792
Jing TangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The clinical significance of pectoralis muscle depletion during acute exacerbations of chronic obstructive pulmonary disease (AECOPD) remains unclear. This study investigated the independent prognostic value of computed tomography (CT)-derived pectoralis muscle metrics for in-hospital mortality and invasive mechanical ventilation (IMV) in AECOPD. Patients and Methods: This retrospective study included 464 consecutive AECOPD patients who underwent chest CT within 48 hours of admission. Pectoralis muscle area and muscle density (PMD) were quantified from CT. The pectoralis muscle index (PMI) was calculated by normalizing muscle area to height squared. Multivariable Cox regression models evaluated associations between these indices and adverse outcomes. The incremental predictive value of adding muscle indices to DECAF and BAP-65 scores was assessed using the area under the curve (AUC). Results: Among 464 patients, 44 (9.5%) died and 86 (18.5%) required IMV during hospitalization. Both PMI and PMD were significantly lower in non-survivors and IMV patients (all P<0.001). In fully adjusted models, each 1 cm Conclusion: CT-derived pectoralis muscle mass and quality are independent and incremental predictors of in-hospital mortality and IMV in AECOPD. Opportunistic muscle assessment from routine chest CT may enhance early risk stratification and inform clinical decision-making.

Indexed as

Hospital MortalityPectoralis MusclesPulmonary Disease, Chronic ObstructiveRespiration, ArtificialSarcopeniaTomography, X-Ray ComputedAgedAged, 80 and overArea Under CurveDisease ProgressionFemaleHumansMaleMiddle AgedMultivariate AnalysisPredictive Value of Testsacute exacerbation of chronic obstructive pulmonary diseasebody compositionopportunistic assessmentrisk stratification

Identifiers

PMID42404998
PMCPMC13332735

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.