Ruby Yu1, Jason Leung2, Jean Woo3. 1. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: rubyyu@cuhk.edu.hk. 2. Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China. 3. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Abstract
OBJECTIVES: We examined whether sarcopenia is predictive of incident fractures among older men, whether the inclusion of sarcopenia in models adds any incremental value to bone mineral density (BMD), and whether sarcopenia is associated with a higher risk of fractures in elderly with osteoporosis. METHODS: A cohort of 2000 community-dwelling men aged ≥65 years were examined for which detailed information regarding demographics, socioeconomic, medical history, clinical, and lifestyle factors were documented. Body composition and BMD were measured using dual energy X-ray absorptiometry. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) algorithm. Incident fractures were documented during the follow-up period from 2001 to 2013, and related to sarcopenia and its component measures using Cox proportional hazard regressions. The contribution of sarcopenia for predicting fracture risk was evaluated by receiver operating characteristic analysis, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: During an average of 11.3 years of follow-up, 226 (11.3%) men sustained at least 1 incident fracture, making the incidence of fractures 1200.6/100,000 person-years. After multivariate adjustments, sarcopenia was associated with increased fracture risk (hazard ratio [HR], 1.87, 95% confidence interval [CI], 1.26-2.79) independent of BMD and other clinical risk factors. The addition of sarcopenia did not significantly increase area under curve or IDI but significantly improved the predictive ability on fracture risk over BMD and other clinical risk factors by 5.12% (P < .05) using the NRI approach. In addition, the combination of osteoporosis and sarcopenia (sarco-osteoporosis) resulted in a significantly increased risk of fractures (HR, 3.49, 95% CI, 1.76-6.90) compared with those with normal BMD and without sarcopenia. CONCLUSIONS: This study confirms that sarcopenia is a predictor of fracture risk in this elderly men cohort, establishes that sarcopenia provides incremental predictive value for fractures over the integration of BMD and other clinical risk factors, and suggests that the combination of osteoporosis and sarcopenia could identify a subgroup with a particularly high fracture risk.
OBJECTIVES: We examined whether sarcopenia is predictive of incident fractures among older men, whether the inclusion of sarcopenia in models adds any incremental value to bone mineral density (BMD), and whether sarcopenia is associated with a higher risk of fractures in elderly with osteoporosis. METHODS: A cohort of 2000 community-dwelling men aged ≥65 years were examined for which detailed information regarding demographics, socioeconomic, medical history, clinical, and lifestyle factors were documented. Body composition and BMD were measured using dual energy X-ray absorptiometry. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) algorithm. Incident fractures were documented during the follow-up period from 2001 to 2013, and related to sarcopenia and its component measures using Cox proportional hazard regressions. The contribution of sarcopenia for predicting fracture risk was evaluated by receiver operating characteristic analysis, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: During an average of 11.3 years of follow-up, 226 (11.3%) men sustained at least 1 incident fracture, making the incidence of fractures 1200.6/100,000 person-years. After multivariate adjustments, sarcopenia was associated with increased fracture risk (hazard ratio [HR], 1.87, 95% confidence interval [CI], 1.26-2.79) independent of BMD and other clinical risk factors. The addition of sarcopenia did not significantly increase area under curve or IDI but significantly improved the predictive ability on fracture risk over BMD and other clinical risk factors by 5.12% (P < .05) using the NRI approach. In addition, the combination of osteoporosis and sarcopenia (sarco-osteoporosis) resulted in a significantly increased risk of fractures (HR, 3.49, 95% CI, 1.76-6.90) compared with those with normal BMD and without sarcopenia. CONCLUSIONS: This study confirms that sarcopenia is a predictor of fracture risk in this elderly men cohort, establishes that sarcopenia provides incremental predictive value for fractures over the integration of BMD and other clinical risk factors, and suggests that the combination of osteoporosis and sarcopenia could identify a subgroup with a particularly high fracture risk.
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