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Shu-Chuan Ho,1,2 Jiun-Yi Wang,3,4 Han-Pin Kuo,5 Chien-Da Huang,5 Kang-Yun Lee,2,6 Hsiao-Chi Chuang,1,2 Po-Hao Feng,2,6 Tzu-Tao Chen,2,* Min-Fang Hsu7,* 1School of Respiratory Therapy, College of Medicine, 2Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 3Department of Healthcare Administration, Asia University, Wufeng, 4Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 5Department of Thoracic Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 6Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, 7Department of Nursing, Yuanpei University of Medical Technology, Hsinchu City, Taiwan *These authors contributed equally to this work Background: Chronic obstructive pulmonary disease (COPD) is currently the third most common cause of death in the world. Patients with COPD experience airflow obstruction, weight loss, skeletal muscle dysfunction, and comorbidities. Anthropometric indicators are risk factors for mortality in geriatric assessment. Purpose: This study examined and compared the associations of anthropometric indicators, such as low body mass index (BMI), low mid-arm circumference (MAC), and low calf circumference (CC), with the prediction of a 3-year follow-up mortality risk in patients with COPD. Methods: We recruited nonhospitalized patients with COPD without acute conditions from a general hospital in Taiwan. The BMI, MAC, and CC of all patients were measured, and they were followed for 3 years through telephone interviews and chart reviews. The Kaplan–Meier survival curves stratified by BMI, MAC, and CC were analyzed. Variables univariately associated with survival were entered into a multivariate Cox regression model. The Bayesian information criterion was used to compare the predictive ability of the three anthropometric indicators to predict mortality rate. Results: In total, 104 patients were included (mean ± standard deviation age, 74.2±6.9 years; forced expiratory volume in 1 second [%], 58.4±20.4 predicted; males, 94.2%); 22 patients (21.2%) died during the 36-month follow-up. During this long-term follow-up, the three anthropometric indicators could predict mortality risk in patients with COPD (low BMI [ |
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