摘要

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.
原文英語
頁(從 - 到)2075-2080
頁數6
期刊International Journal of COPD
11
發行號1
DOIs
出版狀態已發佈 - 2016

指紋

Chronic Obstructive Pulmonary Disease
Body Mass Index
Mortality
Confidence Intervals
Geriatric Assessment
Forced Expiratory Volume
Kaplan-Meier Estimate
Taiwan
Proportional Hazards Models
General Hospitals
Comorbidity
Weight Loss
Cause of Death
Skeletal Muscle
Interviews
Survival

引用此文

@article{cf59671b69a74bacb6c1b33e051bf813,
title = "Mid-arm and calf circumferences are stronger mortality predictors than body mass index for patients with chronic obstructive pulmonary disease",
abstract = "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. {\circledC} 2016 Ho et al.",
keywords = "Anthropometric indicator, BMI, Calf circumference, COPD, Mid-arm circumference, Mortality",
author = "Shu-Chuan Ho and Wang, {Jiun Yi} and Kuo, {Han Pin} and Huang, {Chien Da} and Kang-Yun Lee and Hsiao-Chi Chuang and Po-Hao Feng and Chen, {Tzu Tao} and Hsu, {Min Fang}",
note = "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: 09330@s.tmu.edu.tw 參考文獻: Lozano, R., Naghavi, M., Foreman, K., Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380 (9859), pp. 2095-2128; Mattila, T., Vasankari, T., Kanervisto, M., Association between all-cause and cause-specific mortality and the GOLD stages 1–4: A 30-year follow-up among Finnish adults (2015) Respir Med, 109 (8), pp. 1012-1018; Criner, G.J., Bourbeau, J., Diekemper, R.L., Executive summary: Prevention of acute exacerbation of COPD: American College of Chest Physicians and Canadian Thoracic Society Guideline (2015) Chest, 147 (4), pp. 883-893; Cazzola, M., Bettoncelli, G., Sessa, E., Cricelli, C., Biscione, G., Prevalence of comorbidities in patients with chronic obstructive pulmonary disease (2010) Respiration, 80 (2), pp. 112-119; Almagro, P., Cabrera, F.J., Diez, J., Comorbidities and short-term prognosis in patients hospitalized for acute exacerbation of COPD: The EPOC en Servicios de medicina interna (ESMI) study (2012) Chest, 142 (5), pp. 1126-1133; Hsu, M.F., Ho, S.C., Kuo, H.P., Wang, J.Y., Tsai, A.C., Mini-nutritional assessment (MNA) is useful for assessing the nutritional status of patients with chronic obstructive pulmonary disease: A cross-sectional study (2014) COPD, 11 (3), pp. 325-332; Seidell, J.C., Visscher, T.L., Body weight and weight change and their health implications for the elderly (2000) Eur J Clin Nutr, 54, pp. S33-S39; Tsai, A.C., Lai, M.C., Chang, T.L., Mid-arm and calf circumferences (MAC and CC) are better than body mass index (BMI) in predicting health status and mortality risk in institutionalized elderly Taiwanese (2012) Arch Gerontol Geriatr, 54 (3), pp. 443-447; Ho, S.C., Hsu, M.F., Kuo, H.P., The relationship between anthropometric indicators and walking distance in patients with chronic obstructive pulmonary disease (2015) Int J Chron Obstruct Pulmon Dis, 10, pp. 1857-1862; Corrada, M.M., Kawas, C.H., Mozaffar, F., Paganini-Hill, A., Association of body mass index and weight change with all-cause mortality in the elderly (2006) Am J Epidemiol, 163 (10), pp. 938-949; Thinggaard, M., Jacobsen, R., Jeune, B., Martinussen, T., Christensen, K.I., Is the relationship between BMI and mortality increasingly U-shaped with advancing age? A 10-year follow-up of persons aged 70–95 years (2010) J Gerontol a Biol Sci Med Sci, 65 (5), pp. 526-531; Cao, C., Wang, R., Wang, J., Bunjhoo, H., Xu, Y., Xiong, W., Body mass index and mortality in chronic obstructive pulmonary disease: A meta-analysis (2012) Plos One, 7 (8); Marquis, K., Debigare, R., Lacasse, Y., Midthigh muscle cross-sectional area is a better predictor of mortality than body mass index in patients with chronic obstructive pulmonary disease (2002) Am J Respir Crit Care Med, 166 (6), pp. 809-813; Soler-Cataluna, J.J., Sanchez-Sanchez, L., Martinez-Garcia, M.A., Sanchez, P.R., Salcedo, E., Navarro, M., Mid-arm muscle area is a better predictor of mortality than body mass index in COPD (2005) Chest, 128 (4), pp. 2108-2115; Chumlea, W.C., Guo, S.S., Vellas, B., Guigoz, Y., Techniques of assessing muscle mass and function (Sarcopenia) for epidemiological studies of the elderly (1995) J Gerontol a Biol Sci Med Sci, 50, pp. 45-51; Bigaard, J., Frederiksen, K., Tjonneland, A., Body fat and fat-free mass and all-cause mortality (2004) Obesity Res, 12 (7), pp. 1042-1049; Rabe, K.F., Hurd, S., Anzueto, A., Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary (2007) Am J Respir Crit Care Med, 176 (6), pp. 532-555; Lee, R.D., Nieman, D.C., Assessment of the hospitalized patient (2003) Nutritional Assessment, , Lee RD, Nieman DC, editors, New York: McGraw Hill; Tsai, A.C., Chang, T.L., The effectiveness of BMI, calf circumference and mid-arm circumference in predicting subsequent mortality risk in elderly Taiwanese (2011) Br J Nutr, 105 (2), pp. 275-281; Raftery, A.E., Bayesian model selection in social research (1995) Sociol Methodol, 25, pp. 111-163; Tsai, H.J., Tsai, A.C., Nriagu, J., Ghosh, D., Gong, M., Sandretto, A., Associations of BMI, TV-watching time, and physical activity on respiratory symptoms and asthma in 5th grade schoolchildren in Taipei, Taiwan (2007) J Asthma, 44 (5), pp. 397-401; Roubenoff, R., Sarcopenia and its implications for the elderly (2000) Eur J Clin Nutr, 54, pp. S40-S47; Whitlock, G., Lewington, S., Sherliker, P., Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900,000 adults: Collaborative analyses of 57 prospective studies (2009) Lancet, 373 (9669), pp. 1083-1096; Bonnefoy, M., Jauffret, M., Kostka, T., Jusot, J.F., Usefulness of calf circumference measurement in assessing the nutritional state of hospitalized elderly people (2002) Gerontology, 48 (3), pp. 162-169; Wijnhoven, H.A., Van Bokhorst-De Van Der Schueren, M.A., Heymans, M.W., Low mid-upper arm circumference, calf circumference, and body mass index and mortality in older persons (2010) J Gerontol a Biol Sci Med Sci, 65 (10), pp. 1107-1114; Miranda, E.F., Malaguti, C., Corso, S.D., Peripheral muscle dysfunction in COPD: Lower limbs versus upper limbs (2011) J Bras Pneumol, 37 (3), pp. 380-388; Esteban, C., Quintana, J.M., Aburto, M., Predictors of mortality in patients with stable COPD (2008) J Gen Intern Med, 23 (11), pp. 1829-1834; Celli, B.R., Predictors of mortality in COPD (2010) Respir Med, 104 (6), pp. 773-779; Anthonisen, N.R., Wright, E.C., Hodgkin, J.E., Prognosis in chronic obstructive pulmonary disease (1986) Am Rev Respir Dis, 133 (1), pp. 14-20",
year = "2016",
doi = "10.2147/COPD.S107326",
language = "English",
volume = "11",
pages = "2075--2080",
journal = "International Journal of COPD",
issn = "1176-9106",
publisher = "Dove Medical Press Ltd.",
number = "1",

}

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: 09330@s.tmu.edu.tw 參考文獻: Lozano, R., Naghavi, M., Foreman, K., Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380 (9859), pp. 2095-2128; Mattila, T., Vasankari, T., Kanervisto, M., Association between all-cause and cause-specific mortality and the GOLD stages 1–4: A 30-year follow-up among Finnish adults (2015) Respir Med, 109 (8), pp. 1012-1018; Criner, G.J., Bourbeau, J., Diekemper, R.L., Executive summary: Prevention of acute exacerbation of COPD: American College of Chest Physicians and Canadian Thoracic Society Guideline (2015) Chest, 147 (4), pp. 883-893; Cazzola, M., Bettoncelli, G., Sessa, E., Cricelli, C., Biscione, G., Prevalence of comorbidities in patients with chronic obstructive pulmonary disease (2010) Respiration, 80 (2), pp. 112-119; Almagro, P., Cabrera, F.J., Diez, J., Comorbidities and short-term prognosis in patients hospitalized for acute exacerbation of COPD: The EPOC en Servicios de medicina interna (ESMI) study (2012) Chest, 142 (5), pp. 1126-1133; Hsu, M.F., Ho, S.C., Kuo, H.P., Wang, J.Y., Tsai, A.C., Mini-nutritional assessment (MNA) is useful for assessing the nutritional status of patients with chronic obstructive pulmonary disease: A cross-sectional study (2014) COPD, 11 (3), pp. 325-332; Seidell, J.C., Visscher, T.L., Body weight and weight change and their health implications for the elderly (2000) Eur J Clin Nutr, 54, pp. S33-S39; Tsai, A.C., Lai, M.C., Chang, T.L., Mid-arm and calf circumferences (MAC and CC) are better than body mass index (BMI) in predicting health status and mortality risk in institutionalized elderly Taiwanese (2012) Arch Gerontol Geriatr, 54 (3), pp. 443-447; Ho, S.C., Hsu, M.F., Kuo, H.P., The relationship between anthropometric indicators and walking distance in patients with chronic obstructive pulmonary disease (2015) Int J Chron Obstruct Pulmon Dis, 10, pp. 1857-1862; Corrada, M.M., Kawas, C.H., Mozaffar, F., Paganini-Hill, A., Association of body mass index and weight change with all-cause mortality in the elderly (2006) Am J Epidemiol, 163 (10), pp. 938-949; Thinggaard, M., Jacobsen, R., Jeune, B., Martinussen, T., Christensen, K.I., Is the relationship between BMI and mortality increasingly U-shaped with advancing age? A 10-year follow-up of persons aged 70–95 years (2010) J Gerontol a Biol Sci Med Sci, 65 (5), pp. 526-531; Cao, C., Wang, R., Wang, J., Bunjhoo, H., Xu, Y., Xiong, W., Body mass index and mortality in chronic obstructive pulmonary disease: A meta-analysis (2012) Plos One, 7 (8); Marquis, K., Debigare, R., Lacasse, Y., Midthigh muscle cross-sectional area is a better predictor of mortality than body mass index in patients with chronic obstructive pulmonary disease (2002) Am J Respir Crit Care Med, 166 (6), pp. 809-813; Soler-Cataluna, J.J., Sanchez-Sanchez, L., Martinez-Garcia, M.A., Sanchez, P.R., Salcedo, E., Navarro, M., Mid-arm muscle area is a better predictor of mortality than body mass index in COPD (2005) Chest, 128 (4), pp. 2108-2115; Chumlea, W.C., Guo, S.S., Vellas, B., Guigoz, Y., Techniques of assessing muscle mass and function (Sarcopenia) for epidemiological studies of the elderly (1995) J Gerontol a Biol Sci Med Sci, 50, pp. 45-51; Bigaard, J., Frederiksen, K., Tjonneland, A., Body fat and fat-free mass and all-cause mortality (2004) Obesity Res, 12 (7), pp. 1042-1049; Rabe, K.F., Hurd, S., Anzueto, A., Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary (2007) Am J Respir Crit Care Med, 176 (6), pp. 532-555; Lee, R.D., Nieman, D.C., Assessment of the hospitalized patient (2003) Nutritional Assessment, , Lee RD, Nieman DC, editors, New York: McGraw Hill; Tsai, A.C., Chang, T.L., The effectiveness of BMI, calf circumference and mid-arm circumference in predicting subsequent mortality risk in elderly Taiwanese (2011) Br J Nutr, 105 (2), pp. 275-281; Raftery, A.E., Bayesian model selection in social research (1995) Sociol Methodol, 25, pp. 111-163; Tsai, H.J., Tsai, A.C., Nriagu, J., Ghosh, D., Gong, M., Sandretto, A., Associations of BMI, TV-watching time, and physical activity on respiratory symptoms and asthma in 5th grade schoolchildren in Taipei, Taiwan (2007) J Asthma, 44 (5), pp. 397-401; Roubenoff, R., Sarcopenia and its implications for the elderly (2000) Eur J Clin Nutr, 54, pp. S40-S47; Whitlock, G., Lewington, S., Sherliker, P., Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900,000 adults: Collaborative analyses of 57 prospective studies (2009) Lancet, 373 (9669), pp. 1083-1096; Bonnefoy, M., Jauffret, M., Kostka, T., Jusot, J.F., Usefulness of calf circumference measurement in assessing the nutritional state of hospitalized elderly people (2002) Gerontology, 48 (3), pp. 162-169; Wijnhoven, H.A., Van Bokhorst-De Van Der Schueren, M.A., Heymans, M.W., Low mid-upper arm circumference, calf circumference, and body mass index and mortality in older persons (2010) J Gerontol a Biol Sci Med Sci, 65 (10), pp. 1107-1114; Miranda, E.F., Malaguti, C., Corso, S.D., Peripheral muscle dysfunction in COPD: Lower limbs versus upper limbs (2011) J Bras Pneumol, 37 (3), pp. 380-388; Esteban, C., Quintana, J.M., Aburto, M., Predictors of mortality in patients with stable COPD (2008) J Gen Intern Med, 23 (11), pp. 1829-1834; Celli, B.R., Predictors of mortality in COPD (2010) Respir Med, 104 (6), pp. 773-779; Anthonisen, N.R., Wright, E.C., Hodgkin, J.E., Prognosis in chronic obstructive pulmonary disease (1986) Am Rev Respir Dis, 133 (1), pp. 14-20

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

VL - 11

SP - 2075

EP - 2080

JO - International Journal of COPD

JF - International Journal of COPD

SN - 1176-9106

IS - 1

ER -