TY - JOUR
T1 - Mid-arm and calf circumferences are stronger mortality predictors than body mass index for patients with chronic obstructive pulmonary disease
AU - Ho, Shu-Chuan
AU - Wang, Jiun Yi
AU - Kuo, Han Pin
AU - Huang, Chien Da
AU - Lee, Kang-Yun
AU - Chuang, Hsiao-Chi
AU - Feng, Po-Hao
AU - Chen, Tzu Tao
AU - Hsu, Min Fang
N1 - Export Date: 22 December 2016
通訊地址: Chen, T.-T.; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, No 291, Zhongzheng Rd., Zhonghe District, Taiwan; 電子郵件： [email protected]
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PY - 2016
Y1 - 2016
N2 - 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. © 2016 Ho et al.
AB - 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. © 2016 Ho et al.
KW - Anthropometric indicator
KW - BMI
KW - Calf circumference
KW - COPD
KW - Mid-arm circumference
KW - Mortality
U2 - 10.2147/COPD.S107326
DO - 10.2147/COPD.S107326
M3 - Article
SN - 1176-9106
VL - 11
SP - 2075
EP - 2080
JO - International Journal of COPD
JF - International Journal of COPD
IS - 1
ER -