Back to Journals » International Journal of Chronic Obstructive Pulmonary Disease » Volume 11 » Issue 1

Mid-arm and calf circumferences are stronger mortality predictors than body mass index for patients with chronic obstructive pulmonary disease

Authors Ho S, Wang J, Kuo H, Huang C, Lee K, Chuang H, Feng P, Chen T, Hsu M

Received 27 February 2016

Accepted for publication 8 May 2016

Published 31 August 2016 Volume 2016:11(1) Pages 2075—2080

DOI https://doi.org/10.2147/COPD.S107326

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Richard Russell


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 [<21 kg/m2], hazard ratio [HR] =2.78, 95% confidence interval [CI] =1.10–7.10; low MAC [<23.5 cm], HR =3.09, 95% CI =1.30–7.38; low CC [<30 cm], HR =4.40, 95% CI =1.82–10.63). CC showed the strongest potential in predicting the mortality risk, followed by MAC and BMI.
Conclusion: Among the three anthropometric variables examined, CC can be considered a strong predictor of mortality risk in patients with COPD.

Keywords: anthropometric indicator, BMI, calf circumference, COPD, mid-arm circumference, mortality

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]