International Journal of COPD (Oct 2022)

Association Between Anthropometric Indices and Skeletal-Muscle Atrophy in Chinese Patients with Stable Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study

  • Han Y,
  • Wu Z,
  • Zhao Q,
  • Jiang B,
  • Miao X,
  • Lu X,
  • Qian H,
  • Niu M

Journal volume & issue
Vol. Volume 17
pp. 2529 – 2539

Abstract

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Yanxia Han,1,* Zhenyun Wu,1,* Qian Zhao,1 Bo Jiang,2 Xiaolang Miao,2 Xiangmin Lu,2 Hongying Qian,1 Meie Niu1 1Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China; 2School of Nursing, Soochow University, Suzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Meie Niu, Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, 188th, Shizi Street, Suzhou, 215006, People’s Republic of China, Tel +86 13812671786, Email [email protected]: Anthropometric indices are simple indicators of patient nutritional status. However, the association between these indices and skeletal-muscle atrophy in patients with stable chronic obstructive pulmonary disease (COPD) has not been fully investigated. In this study, we evaluated this association.Patients and Methods: We recruited 123 outpatients with stable COPD from a general hospital in China from 2020 to 2021. We recorded their demographic characteristics, including age, sex, course of illness, dyspnea score, body mass index (BMI), force expiratory volume in 1 second (FEV1), forced vital capacity (FVC), smoking status, and severity grading. In addition, patients’ anthropometric indices, including fat-free mass index (FFMI) and appendicular skeletal-muscle mass index (ASMI), were measured using a body composition analyzer, and measurements were taken of the triceps skinfold (TSF), midarm circumference (MAC), and calf circumference (CC). We drew and analyzed a receiver operating characteristic (ROC) curve to identify the best intercept point value for the assessment of skeletal-muscle atrophy.Results: The TSF, MAC, CC, FFMI, and ASMI of COPD patients were 1.08 ± 0.44 cm, 26.39 ± 2.92 cm, 34.5 ± 3.06 cm, 17.49 ± 1.86 kg/m2, and 8.17 ± 0.90 kg/m2, respectively. These anthropometric indices had a significant positive correlation with skeletal-muscle mass (correlation values, 0.481– 0.820). CC was strongly correlated with both FFMI and ASMI. The ROC curve showed an area-under-the-curve (AUC) value of 0.873– 0.959.Conclusion: Anthropometric indices were correlated with skeletal-muscle mass. CC showed the best diagnostic value in COPD patients, suggesting its effectiveness as a simple method for assessing skeletal-muscle atrophy and identifying patients with a noticeable reduction in muscle mass. Such patients require early, multidisciplinary intervention.Keywords: fat-free mass, skeletal-muscle mass, chronic obstructive pulmonary disease, anthropometric index, muscle atrophy

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