Fracture Risk Prediction Using FRAX®: a 10-year Follow-up Survey of the Japanese Population-Based Osteoporosis (JPOS) Cohort Study
Overview
Orthopedics
Affiliations
Unlabelled: We evaluated the predictive ability of FRAX® in a cohort of 815 Japanese women. The observed 10-year fracture rate did not differ significantly from that predicted by FRAX®. The predictive ability of FRAX® without femoral neck bone mineral density (BMD) was similar to that with femoral neck BMD.
Introduction: We evaluated the ability of the Japanese version of FRAX®, a World Health Organization fracture risk assessment tool, to predict the 10-year probability of osteoporotic fracture.
Methods: Self-reported major osteoporotic fracture (N = 43) and hip fracture (N = 4) events were ascertained in the 10-year follow-up survey of the Japanese Population-Based Osteoporosis Cohort Study. Participants were 815 women aged 40-74 years at the baseline survey. Receiver operating characteristic curve analysis compared FRAX® with multiple logistic models based on age, body weight, and femoral neck BMD.
Results: The number of observed major osteoporotic or hip fracture events did not differ significantly from the number of events predicted by the FRAX® model (with or without BMD). The area under the curve (AUC) value for FRAX® with BMD for predicting major osteoporotic fractures was similar to that of a logistic model with age, body weight, and BMD (0.69 vs. 0.71, respectively; p = 0.198); the AUC of FRAX® with BMD for predicting hip fractures was similar to that of a model based on age and BMD (0.88 vs. 0.89, respectively; p = 0.164). The AUCs of FRAX® without BMD for predicting major osteoporotic and hip fractures were similar to those with BMD (0.69 vs. 0.67, respectively; p = 0.121; 0.88 vs. 0.86, respectively; p = 0.445).
Conclusions: The Japanese version of FRAX® without BMD estimated the 10-year probability of osteoporotic fracture in this population with few clinical risk factors as similar to that of FRAX® with BMD.
Jha D, Chandran M, Hong N, Rhee Y, Baek S, Ferguson S J Bone Metab. 2024; 31(4):296-315.
PMID: 39701109 PMC: 11658842. DOI: 10.11005/jbm.24.781.
Lin S, Luo Y, Xie Y, Liao Y, Niu S, Zheng Y Eur Spine J. 2024; .
PMID: 38844587 DOI: 10.1007/s00586-024-08333-3.
Ratnasingam J, Niyaz M, Mariyappan S, Ong T, Chan S, Hew F Arch Osteoporos. 2024; 19(1):18.
PMID: 38503995 DOI: 10.1007/s11657-024-01371-w.
Kristensen S, Clausen A, Skjodt M, Sondergaard J, Abrahamsen B, Moller S Diagn Progn Res. 2023; 7(1):19.
PMID: 37784165 PMC: 10546772. DOI: 10.1186/s41512-023-00158-w.
Corrao G, Biffi A, Porcu G, Ronco R, Adami G, Alvaro R Front Endocrinol (Lausanne). 2023; 14:1137671.
PMID: 37143730 PMC: 10151776. DOI: 10.3389/fendo.2023.1137671.