Abstract
Comparison of methods to improve fracture risk assessment in Chinese diabetic postmenopausal women: A case-control study
Highlights
Osteoporosis is a systemic skeletal disease characterized by low bone mass and microarchitectural deterioration of bone tissue that leads to increased fracture risk [1], disability, financial burden, and mortality [2,3,4,5]
Femoral neck T-score adjustment might be the preferred method for predicting major osteoporotic fractures (MOF) and osteoporotic hip fractures (OHF) in Chinese diabetic postmenopausal women, while Rheumatoid arthritis (RA) adjustment only effectively predicted HF risk
The probability of fractures is based on the anamnestic, clinical factors, and anthropometric parameters, and considers, when available, the femoral neck bone mineral density (BMD) that can improve the accuracy of the fracture risk assessment [6]
Summary
Osteoporosis is a systemic skeletal disease characterized by low bone mass and microarchitectural deterioration of bone tissue that leads to increased fracture risk [1], disability, financial burden, and mortality [2,3,4,5]. The most widely used assessment instrument is the Fracture Risk Assessment Tool (FRAX®) This computer-based algorithm predicts the 10-year probability of major osteoporotic fractures (MOF) (hip, clinical spine, forearm, and humerus fracture) and osteoporotic hip fractures (OHF) in the presence of competing mortality. Menopause is a risk factor for diabetes and osteoporosis [8,9], and diabetes mellitus, type 2 diabetes mellitus (T2DM), is a common disease in China. It was estimated in 2017 that the T2DM incidence in China was 10.4% [10]. Evidence suggests that the FRAX algorithm does not reflect the risk of fractures in T2DM patients correctly [16]
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