Proximal femur geometry to detect and distinguish @entity2249 from @entity173 in postmenopausal XXXX .

@entity1 @entity2249 @entity174 @entity173 @entity79 @entity572 @entity2246
Some proximal femur geometry (PFG) parameters, measured by dual-energy X-ray absorptiometry (DXA), have been reported to discriminate subjects with @entity173 . Relatively few studies have tested their ability to discriminate @entity2249 from those of the trochanter. To this end we performed a cross-sectional study in a population of 547 menopausal @entity1 over 69 years of age with @entity2249 (n = 88), @entity173 (n = 93) or controls (n = 366). @entity572 length (HAL), neck-shaft angle (NSA), @entity2249 ( @entity2249 ) and femoral shaft diameter (FSD) were measured by DXA, as well as the @entity79 ( @entity79 ) of the nonfractured hip at the femoral neck, trochanter and Ward's triangle. In fractured subjects, @entity79 was lower at each measurement site. HAL was longer and NSA wider in those with @entity2249 . With logistic regression the age-adjusted odds ratio (OR) for a 1 standard deviation (SD) decrease in @entity79 was significantly associated at each measurement site with @entity2249 (femoral neck @entity79 : OR 1.9, 95% confidence interval (95% CI): 1.4-2.5; trochanter @entity79 : OR 1.6, 95% CI 1.2-2.0; Ward's triangle @entity79 : OR 1.7, 95% CI 1.3-2.2) and trochanteric @entity174 (femoral neck @entity79 : OR 2.6, 95% CI 1.9-3.6; trochanter @entity79 : OR 3.0, 95% CI 2.2-4.1; Ward's triangle @entity79 : OR 1.8, 95% CI 1.4-2.3). Age-adjusted OR for 1 SD increases in NSA (OR 2.2, 95% CI 1.7-2.8) and HAL (OR 1.3, 95% CI 1.1-1.6) was significantly associated with the @entity174 risk only for @entity2249 . In the best predictive model the strongest predictors were site-matched @entity79 for both @entity174 types and NSA for neck @entity174 . Trochanteric @entity79 had the greatest area (0.78, @entity2246 ( @entity2246 ) 0.02) under the receiver operating characteristic curve in @entity173 , whereas for NSA (0.72, @entity2246 0.03) this area was greatest in @entity2249 . These results confirm the association of @entity79 with @entity174 and support the evidence that PFG plays a significant role only in neck @entity174 prediction, since NSA is the best predictive parameter among those tested.
