Predictive modeling assesses fracture risk in osteoporosis, suggesting new strategies for prevention.
Elevated L₂ FF measured by lumbar IDEAL-IQ and reduced 25(OH)D levels are both independently associated with high fracture risk. Their combined model significantly improves the predictive accuracy for osteoporotic vertebral fractures. Early risk stratification assessment using combined biomarkers may provide a novel approach for clinical fracture risk management and preventive intervention, though further validation is required.
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Rao et al. (2026) studied this question.
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