DOI 10.1016/j.bonr.2026.101919
Prior treatment, not vitamin D, predicts romosozumab response in 314 osteoporosis patients: A retrospective cohort study.
Аннотация
BACKGROUND
Although calcium and vitamin D supplementation is recommended with romosozumab therapy for postmenopausal osteoporosis, real-world evidence examining the impact of vitamin D formulation, dose, and prior treatment history on the treatment response remains limited.
METHODS
We conducted a retrospective cohort study of 314 osteoporotic patients who received romosozumab at a general hospital in northern Japan between April 2019 and April 2025. Patients were categorized according to vitamin D co-administration (none, eldecalcitol 0.5 μg, eldecalcitol 0.75 μg, alfacalcidol 0.5 μg, or alfacalcidol 1.0 μg) and prior treatment history. The primary outcome was the percentage change in the lumbar spine bone mineral density (BMD) at 12 months. Multivariate regression analysis was performed to identify predictors of treatment response.
RESULTS
Overall, the lumbar spine BMD increased by 8.90 ± 6.50% and the total hip BMD by 2.90 ± 3.80% at 12 months. Patients receiving vitamin D had lower baseline 25-hydroxyvitamin D levels (15.89 vs. 17.50 ng/mL, p = 0.035), indicating a prescription bias. In the multivariate analysis, prior osteoporosis treatment was the strongest negative predictor of romosozumab response (coefficient - 4.02%, p = 0.0007), whereas vitamin D co-administration did not significantly predict outcomes (p = 0.15). Among treatment-naïve patients, eldecalcitol 0.5 μg showed a superior lumbar spine BMD increase (14.36%) compared to alfacalcidol 1.0 μg (2.00%, p = 0.027). A significant treatment history × vitamin D interaction was observed (p = 0.014).
CONCLUSIONS
Prior treatment history, rather than vitamin D co-administration, was the dominant predictor of romosozumab response in patients with osteoporosis. Eldecalcitol 0.5 μg appears to be optimal for treatment-naïve patients with osteoporosis. Selection bias in vitamin D prescriptions must be considered when interpreting real-world treatment outcomes.
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