Evidence map›Paper›PMID 42761895›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Screening Utility of Lower Limb Muscle Ultrasound for Sarcopenia in COPD Patients.

Jing Huang, Fei Guo, Li Jiang, Jierong Quan, Lu Yu, Xiao Nie, Huaicong Long

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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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

7 authors.

Jing Huang *Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.
Fei Guo *Department of Radiotherapy Oncology, Nanchong Hospital of Traditional Chinese Medicine Affiliated to North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0009-0000-6591-4493
Li JiangDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.
Jierong QuanDepartment of Medical Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.
Lu YuDepartment of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.
Xiao NieDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0009-0000-5226-9069
Huaicong LongDepartment of Geriatric Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0002-1718-426X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sarcopenia is a common but underdiagnosed extrapulmonary complication in patients with chronic obstructive pulmonary disease (COPD) and contributes to poor clinical outcomes. This study aimed to investigate the screening utility of rectus femoris cross-sectional area (RFCSA), femoral muscle thickness (FMT), and quadriceps femoris muscle thickness (QFMT) for sarcopenia in COPD patients. Patients and Methods: This single-center cross-sectional study enrolled 61 COPD patients. According to the sarcopenia criteria, patients were classified into sarcopenia group (n=24) and non-sarcopenia group (n=37). All participants underwent pulmonary function tests, grip strength measurement, 6-meter walk test, 5-repetition sit-to-stand test, and bioelectrical impedance analysis. QFMT, FMT, and RFCSA were measured by a single experienced sonographer using a standardized protocol. Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed. Results: The proportion of participants with sarcopenia in this COPD cohort was 39.34% (24/61). All ultrasound parameters were significantly reduced in the sarcopenia group: QFMT (2.28 cm vs 2.57 cm, p<0.001), FMT (1.30±0.21 cm vs 1.43±0.23 cm, p=0.033), and RFCSA (4.25±0.75 cm Conclusion: Lower limb muscle ultrasound parameters, particularly QFMT, are significantly reduced in COPD patients with sarcopenia. Ultrasound appears promising as a screening tool but requires validation in larger, prospective, multicenter studies.

Indexed as

Pulmonary Disease, Chronic ObstructiveQuadriceps MuscleSarcopeniaAgedArea Under CurveChi-Square DistributionCross-Sectional StudiesElectric ImpedanceFemaleHand StrengthHumansLogistic ModelsLungMaleMiddle AgedMultivariate Analysischronic obstructive pulmonary diseasequadriceps femoris musclerectus femorissarcopenia screeningultrasound

Identifiers

PMID42761895
PMCPMC13588127

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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 OpenQuestion graph.