Literature DB >> 11878458

Proximal femur geometry to detect and distinguish femoral neck fractures from trochanteric fractures in postmenopausal women.

S Gnudi1, C Ripamonti, L Lisi, M Fini, R Giardino, G Giavaresi.   

Abstract

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

Entities:  

Mesh:

Year:  2002        PMID: 11878458     DOI: 10.1007/s198-002-8340-2

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  55 in total

1.  Combination of bone mineral density and upper femur geometry improves the prediction of hip fracture.

Authors:  Pasi Pulkkinen; Juha Partanen; Pekka Jalovaara; Timo Jämsä
Journal:  Osteoporos Int       Date:  2004-02-03       Impact factor: 4.507

2.  To what degree is digital imaging reliable? Validation of femoral neck shaft angle measurement in the era of picture archiving and communication systems.

Authors:  J D Wilson; W Eardley; S Odak; A Jennings
Journal:  Br J Radiol       Date:  2010-12-15       Impact factor: 3.039

3.  Age-specific reference values of hip geometric indices from a representative sample of the Japanese female population: Japanese Population-based Osteoporosis (JPOS) Study.

Authors:  M Iki; N DongMei; J Tamaki; Y Sato; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2010-09-30       Impact factor: 4.507

4.  Comparison of femoral morphology and bone mineral density between femoral neck fractures and trochanteric fractures.

Authors:  Yuki Maeda; Nobuhiko Sugano; Masanobu Saito; Kazuo Yonenobu
Journal:  Clin Orthop Relat Res       Date:  2010-08-20       Impact factor: 4.176

5.  Potential of P40 plastination for morphometric hip measurements.

Authors:  B Genser-Strobl; M C Sora
Journal:  Surg Radiol Anat       Date:  2005-01-12       Impact factor: 1.246

Review 6.  Bone geometry and skeletal fragility.

Authors:  Mary L Bouxsein; David Karasik
Journal:  Curr Osteoporos Rep       Date:  2006-06       Impact factor: 5.096

7.  Femoral neck cortical geometry measured with magnetic resonance imaging is associated with proximal femur strength.

Authors:  S L Manske; T Liu-Ambrose; P M de Bakker; D Liu; S Kontulainen; P Guy; T R Oxland; H A McKay
Journal:  Osteoporos Int       Date:  2006-07-18       Impact factor: 4.507

8.  Bivariate linkage study of proximal hip geometry and body size indices: the Framingham study.

Authors:  D Karasik; J Dupuis; L A Cupples; T J Beck; M C Mahaney; L M Havill; D P Kiel; S Demissie
Journal:  Calcif Tissue Int       Date:  2007-08-03       Impact factor: 4.333

9.  Overweight postmenopausal women lose bone with moderate weight reduction and 1 g/day calcium intake.

Authors:  Claudia S Riedt; Mariana Cifuentes; Theodore Stahl; Hasina A Chowdhury; Yvette Schlussel; Sue A Shapses
Journal:  J Bone Miner Res       Date:  2004-11-29       Impact factor: 6.741

10.  Influence of physical activity and skeleton geometry on bone mass at the proximal femur in 10- to 12-year-old children--a longitudinal study.

Authors:  G Cardadeiro; F Baptista; N Rosati; V Zymbal; K F Janz; L B Sardinha
Journal:  Osteoporos Int       Date:  2014-05-09       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.