Purpose: 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.
Purpose: 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.
Authors: François Maltais; Marc Decramer; Richard Casaburi; Esther Barreiro; Yan Burelle; Richard Debigaré; P N Richard Dekhuijzen; Frits Franssen; Ghislaine Gayan-Ramirez; Joaquim Gea; Harry R Gosker; Rik Gosselink; Maurice Hayot; Sabah N A Hussain; Wim Janssens; Micheal I Polkey; Josep Roca; Didier Saey; Annemie M W J Schols; Martijn A Spruit; Michael Steiner; Tanja Taivassalo; Thierry Troosters; Ioannis Vogiatzis; Peter D Wagner Journal: Am J Respir Crit Care Med Date: 2014-05-01 Impact factor: 21.405
Authors: T O Awotidebe; O F Awopeju; L A Bisiriyu; R N Ativie; K I Oke; R A Adedoyin; O D Olusola; G E Erhabor Journal: Ann Phys Rehabil Med Date: 2017-08-07
Authors: Mehul S Patel; Jen Lee; Manuel Baz; Claire E Wells; Susannah Bloch; Amy Lewis; Anna V Donaldson; Benjamin E Garfield; Nicholas S Hopkinson; Amanda Natanek; William D-C Man; Dominic J Wells; Emma H Baker; Michael I Polkey; Paul R Kemp Journal: J Cachexia Sarcopenia Muscle Date: 2015-12-29 Impact factor: 12.910