Shu-Ying Liu1,2,3,4, Meng Huang1,2,3,4, Rong Chen1,2,3,4,5, Na Ding1,2,3,4, Hong Liu5, Zhong-Jian Xie1,2,3,4, Zhi-Feng Sheng6,7,8,9, Bi-Hua Luo10,11,12,13, Yang-Na Ou14. 1. Department of Metabolism & Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 2. National Clinical Research Center for Metabolic Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 3. Institute of Metabolism and Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 4. Hunan Provincial Key Laboratory of Metabolic Bone Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 5. Department of Metabolism & Endocrinology, Zhuzhou Central Hospital, Central South University, Zhuzhou, 412000, Hunan, PR China. 6. Department of Metabolism & Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. shengzhifeng@csu.edu.cn. 7. National Clinical Research Center for Metabolic Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. shengzhifeng@csu.edu.cn. 8. Institute of Metabolism and Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. shengzhifeng@csu.edu.cn. 9. Hunan Provincial Key Laboratory of Metabolic Bone Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. shengzhifeng@csu.edu.cn. 10. Department of Metabolism & Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 58526229@qq.com. 11. National Clinical Research Center for Metabolic Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 58526229@qq.com. 12. Institute of Metabolism and Endocrinology, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 58526229@qq.com. 13. Hunan Provincial Key Laboratory of Metabolic Bone Diseases, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. 58526229@qq.com. 14. Hospital Infection Control Center, The 2nd Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, PR China. Oyn99@126.com.
Abstract
PURPOSE: The two main strategies for managing osteoporosis using the Fracture Risk Assessment (FRAX®) are the fixed-probability threshold of the National Osteoporosis Foundation (NOF) and the age-dependent-probability threshold of the National Osteoporosis Guideline Group (NOGG), but there are no FRAX® Chinese-specific thresholds. This study examined the NOF and NOGG strategies for intervention thresholds using the Chinese FRAX® model for their appropriateness for Chinese postmenopausal women, and explored Chinese-specific thresholds. METHODS: Postmenopausal women (N = 264) >50 years old from community-medical centers in China were randomly selected. They completed a self-report questionnaire and underwent bone mineral density measurements and spinal X-rays. The 10-year risks for a major osteoporosis fracture and hip fracture were calculated using the Chinese FRAX® model. Using an osteoporosis diagnosis as the gold standard, we compared the abilities of the NOF and NOGG thresholds to detect osteoporosis by analyzing their sensitivity, specificity, accuracy, and positive and negative likelihood ratios. RESULTS: The 10-year risks for hip fracture and a major osteoporotic fracture increased with age. The NOF's accuracy in detecting osteoporosis was 83.33% and the NOGG's was 74.24%. The NOF thresholds showed higher accuracy and specificity than the NOGG thresholds. CONCLUSION: NOF thresholds are more appropriate for Chinese menopausal women.
PURPOSE: The two main strategies for managing osteoporosis using the Fracture Risk Assessment (FRAX®) are the fixed-probability threshold of the National Osteoporosis Foundation (NOF) and the age-dependent-probability threshold of the National Osteoporosis Guideline Group (NOGG), but there are no FRAX® Chinese-specific thresholds. This study examined the NOF and NOGG strategies for intervention thresholds using the Chinese FRAX® model for their appropriateness for Chinese postmenopausal women, and explored Chinese-specific thresholds. METHODS: Postmenopausal women (N = 264) >50 years old from community-medical centers in China were randomly selected. They completed a self-report questionnaire and underwent bone mineral density measurements and spinal X-rays. The 10-year risks for a major osteoporosis fracture and hip fracture were calculated using the Chinese FRAX® model. Using an osteoporosis diagnosis as the gold standard, we compared the abilities of the NOF and NOGG thresholds to detect osteoporosis by analyzing their sensitivity, specificity, accuracy, and positive and negative likelihood ratios. RESULTS: The 10-year risks for hip fracture and a major osteoporotic fracture increased with age. The NOF's accuracy in detecting osteoporosis was 83.33% and the NOGG's was 74.24%. The NOF thresholds showed higher accuracy and specificity than the NOGG thresholds. CONCLUSION: NOF thresholds are more appropriate for Chinese menopausal women.
Entities:
Keywords:
China; FRAX; Osteoporosis; Osteoporotic fracture; Postmenopausal women
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