ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2026
External validation of a novel HR-pQCT based fracture risk assessment tool (μFRAC) in a male cohort: the osteoporotic fractures in men (MrOS) study.
Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Fracture risk estimates can be used clinically to inform treatment decision-making in osteoporosis. Current fracture risk assessment tools have a low sensitivity in predicting fractures in males. This study aims to evaluate and validate the performance of a new fracture prediction tool-the Microarchitecture Fracture Risk Assessment Calculator ($\mu $FRAC)-in a multicentre cohort (MrOS) of older community-dwelling men. The performance of $\mu $FRAC was assessed in a population of 1586 men aged $\geq 77$ years in the United States. All participants underwent HR-pQCT scanning (61 $\mu $m) of the distal radius and distal tibia. Incident fracture information was collected every 4 months from the study visit. The $\mu $FRAC 5-year and 10-year risk of major osteoporotic fracture and any osteoporotic fracture were calculated for all participants. The model calibration was assessed by fitting fine-gray competing risk regression models. The model discrimination was assessed using receiver operator characteristic curves and area under the curve (AUCs). Over the 10-year follow-up period, 129 men experienced an incident major osteoporotic fracture. The $\mu $FRAC models showed good generalizability of the 5-year risk estimates (regression slope 0.8-1.1) to MrOS cohort. The $\mu $FRAC models displayed an improved model performance (AUC = 0.685-0.703) relative to reference models of FRAX (AUC = 0.641) and FN aBMD alone (AUC = 0.636) for the 5-year major osteoporotic fracture (MOF) risk estimates. A sub-analysis on individuals classified as moderate risk by FRAX (10%-20% MOF risk) found that $\mu $FRAC aided in stratifying risk, particularly for the 5-year risk estimates ($\mu $FRAC AUC = 0.691-0.706). The $\mu $FRAC models demonstrated strong performance and generalizability to an external cohort of older men. This validation of $\mu $FRAC suggests its potential use as an alternate assessment tool for osteoporotic fracture risk and may have value in targeting moderate-risk subgroups to aid treatment decisions.
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