Contribution of clinical risk factors to bone density-based absolute @entity174 risk assessment in postmenopausal XXXX .

@entity1 @entity174 @entity173 @entity79 @entity6192
@entity173 are independently associated with advancing age, specific clinical risk factors (CRFs), and low @entity79 ( @entity79 ). The use of @entity79 T-scores for quantifying @entity174 risk ignores the contribution of age and CRFs. We previously developed a mathematical model of @entity173 risk that incorporates @entity1 age, @entity79 , and the results of eleven specific CRFs. The purpose of this study was to compare the contribution of an approach to @entity174 risk stratification using the full model (age, CRFs and @entity79 ) with that of a unidimensional @entity79 -only model. We selected 213 consecutive postmenopausal females (mean age 65.3, range 50-87.9) with @entity6192 data referred for @entity79 assessment of @entity174 risk. Absolute @entity173 risk (over the next 5 years and remaining lifetime) was estimated using both the full and @entity79 -only models. The mean ratio of @entity173 risks ( @entity79 -only/full model) derived for each @entity1 was 0.8 (95% CI, 0.16-4.0) for @entity173 in the next 5 years and 1.1 (CI, 0.1-7.6) for remaining lifetime. The wide confidence intervals indicate a large contribution of age and CRFs to @entity174 risk stratification. Categorization of @entity1 as "high risk" was frequently discordant for the two models. One-half of the @entity1 designated "high risk" under the full model were classified as "low risk" based upon @entity79 alone. In conclusion, we have shown that a multidimensional approach to @entity173 risk stratification is feasible, and greatly modifies risk stratification based on @entity79 alone.
