Article Document Academic Article Information Content Entity Continuant Continuant Journal Article Entity Entity Generically Dependent Continuant 2025-05-11T07:09:24 RDF description of Prediction models of prevalent radiographic vertebral fractures among older men - http://repository.healthpartners.com/individual/document-rn26485 Risk Factors Fractures Smoking Osteoporosis Radiography document-rn26485 Body Mass Index public Spinal Cord Models 18700 Bone Density Back Pain Forecasting 10.1016/j.jocd.2013.09.020 Prediction models of prevalent radiographic vertebral fractures among older men 17 2022-02-21T22:48:57.408-06:00 <p>No studies have compared how well different prediction models discriminate older men who have a radiographic prevalent vertebral fracture (PVFx) from those who do not. We used area under receiver operating characteristic curves and a net reclassification index to compare how well regression-derived prediction models and nonregression prediction tools identify PVFx among men age �65 yr with femoral neck T-score of -1.0 or less enrolled in the Osteoporotic Fractures in Men Study. The area under receiver operating characteristic for a model with age, bone mineral density, and historical height loss (HHL) was 0.682 compared with 0.692 for a complex model with age, bone mineral density, HHL, prior non-spine fracture, body mass index, back pain, grip strength, smoking, and glucocorticoid use (p values for difference in 5 bootstrapped samples 0.14-0.92). This complex model, using a cutpoint prevalence of 5%, correctly reclassified only a net 5.7% (p = 0.13) of men as having or not having a PVFx compared with a simple criteria list (age � 80 yr, HHL >4 cm, or glucocorticoid use). In conclusion, simple criteria identify older men with PVFx and regression-based models. Future research to identify additional risk factors that more accurately identify older men with PVFx is needed.<p> 31700 Journal of Clinical Densitometry 4