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Differential predictive value of FRAX Hip and major osteoporotic fracture probabilities for denosumab response
Wei-Cheng Huang1, Chao-Tung Chen1, Jia-Feng Chen2
1Department of Family Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; Department of Geriatric, Chang Gung Memorial Hospital Chiayi Branch, Puzi 61363, Taiwan.
Introduction:
The Fracture Risk Assessment Tool (FRAX) estimates 10-year probabilities of major osteoporotic fracture (MOF) and hip fracture. Whether these two components differentially predict response to denosumab remains unclear.
Objectives:
To determine whether baseline FRAX-MOF and FRAX-hip probabilities show opposing associations with 1-year bone mineral density (BMD) improvement after denosumab.
Methods:
Patients with osteoporosis who had BMD measured at baseline and 12 months after initiating denosumab were enrolled. Clinical risk factors were obtained by structured interview, and Taiwan-specific FRAX probabilities for MOF and hip fracture were calculated. Logistic regression examined the association between each FRAX probability and BMD improvement (primary outcome).
Results:
Among 150 denosumab-treated patients, a higher FRAX-MOF probability was associated with a lower likelihood of BMD improvement (P = 0.011; OR 0.81; 95% CI 0.68-0.95), whereas a higher FRAX-hip probability was associated with a greater likelihood of improvement (P < 0.001; OR 1.74; 95% CI 1.30-2.34).
Conclusion:
FRAX components convey differential predictive information for denosumab response: higher FRAX-hip probability predicts benefit, while higher FRAX-MOF probability predicts attenuated BMD gain. Recognizing these opposing directions may refine patient selection and expectation-setting for denosumab in osteoporosis care.
Mini-Abstract:
This study shows that fracture risk scores predict denosumab response differently: hip fracture risk predicts stronger bone density gains, while major osteoporotic fracture risk predicts weaker gains. Recognizing these opposing signals can improve patient selection and treatment expectations in osteoporosis management.
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