1. Novel algorithm generating strategy to identify high fracture risk population using a hybrid intervention threshold
- Author
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Jia Feng Chen, Wen Chan Chiu, Yu-Jih Su, Han Ming Lai, Chih Hsing Wu, Chi Hua Ko, Ying Chou Chen, Chung-Yuan Hsu, Jung Fu Chen, Shan Fu Yu, and Tien Tsai Cheng
- Subjects
0301 basic medicine ,Male ,medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Osteoporosis ,Population ,Taiwan ,030209 endocrinology & metabolism ,Group B ,03 medical and health sciences ,Fractures, Bone ,0302 clinical medicine ,Endocrinology ,Bone Density ,Risk Factors ,medicine ,Cutoff ,Humans ,Orthopedics and Sports Medicine ,education ,Femoral neck ,Aged ,Probability ,Bone mineral ,Hip fracture ,education.field_of_study ,business.industry ,Hip Fractures ,General Medicine ,medicine.disease ,medicine.anatomical_structure ,Orthopedic surgery ,Female ,030101 anatomy & morphology ,business ,Algorithm ,Algorithms - Abstract
The aim of this study was to develop an algorithm to identify high-risk populations of fragility fractures in Taiwan. A total of 16,539 postmenopausal women and men (age ≥ 50 years) were identified from the Taiwan Osteoporosis Survey database. Using the Taiwan FRAX® tool, the 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) and the individual intervention threshold (IIT) of each participant were calculated. Subjects with either a probability above the IIT or those with MOF ≥ 20% or HF ≥ 9% were included as group A. Subjects with a bone mineral density (BMD) T-score at femoral neck based on healthy subjects of ≤ − 2.5 were included in group B. We tested several cutoff points for MOF and HF so that the number of patients in group A and group B were similar. A novel country-specific hybrid intervention threshold along with an algorithm was generated to identify high fracture risk individuals. 3173 (19.2%) and 3129 (18.9%) participants were categorized to groups A and B, respectively. Participants in group B had a significantly lower BMD (p
- Published
- 2019