scholarly journals Difference in the trajectory of change in bone geometry as measured by hip structural analysis in the narrow neck, intertrochanteric region, and femoral shaft between men and women following hip fracture

Bone ◽  
2016 ◽  
Vol 92 ◽  
pp. 124-131 ◽  
Author(s):  
Alan M. Rathbun ◽  
Michelle Shardell ◽  
Denise Orwig ◽  
J. Richard Hebel ◽  
Gregory E. Hicks ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Structural Analysis ◽  
Bone Geometry ◽  
Femoral Shaft ◽  
Hip Structural Analysis ◽  
Men And Women ◽  
Narrow Neck

scholarly journals Hip Structural Analysis Reveals Impaired Hip Geometry in Girls With Type 1 Diabetes

2020 ◽  
Vol 105 (12) ◽  
pp. e4848-e4856
Author(s):  
Taïsha V Joseph ◽  
Signe Caksa ◽  
Madhusmita Misra ◽  
Deborah M Mitchell
Keyword(s):  
Type 1 Diabetes ◽  
Hip Fracture ◽  
Structural Analysis ◽  
Bone Age ◽  
Sectional Area ◽  
Hip Structural Analysis ◽  
Hip Geometry ◽  
Cross Sectional ◽  
Skeletal Fragility

Abstract Context Among patients with type 1 diabetes (T1D), the risk of hip fracture is up to 6-fold greater than that of the general population. However, the cause of this skeletal fragility remains poorly understood. Objective To assess differences in hip geometry and imaging-based estimates of bone strength between youth with and without T1D using dual-energy x-ray absorptiometry (DXA)-based hip structural analysis. Design Cross-sectional comparison. Participants Girls ages 10 to 16 years, including n = 62 with T1D and n = 61 controls. Results The groups had similar age, bone age, pubertal stage, height, lean mass, and physical activity. Bone mineral density at the femoral neck and total hip did not differ in univariate comparisons but was lower at the femoral neck in T1D after adjusting for bone age, height, and lean mass. Subjects with T1D had significantly lower cross-sectional area, cross-sectional moment of inertia, section modulus, and cortical thickness at the narrow neck, with deficits of 5.7% to 10.3%. Cross-sectional area was also lower at the intertrochanteric region in girls with T1D. Among those T1D subjects with HbA1c greater than the cohort median of 8.5%, deficits in hip geometry and strength estimates were more pronounced. Conclusions DXA-based hip structural analysis revealed that girls with T1D have unfavorable geometry and lower estimates of bone strength at the hip, which may contribute to skeletal fragility and excess hip fracture risk in adulthood. Higher average glycemia may exacerbate effects of T1D on hip geometry.

Osteoporotic Hip Fracture Prediction: Is T-Score-Based Criterion Enough? A Hip Structural Analysis-Based Model

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Alessandra Aldieri ◽  
Mara Terzini ◽  
Giangiacomo Osella ◽  
Adriano M. Priola ◽  
Alberto Angeli ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Structural Analysis ◽  
Fracture Risk ◽  
Proximal Femur ◽  
Patient Specific ◽  
Multivariate Linear Regression Analysis ◽  
Hip Structural Analysis ◽  
Mineral Density ◽  
Neck Shaft Angle ◽  
Adopted Model

At present, the current gold-standard for osteoporosis diagnosis is based on bone mineral density (BMD) measurement, which, however, has been demonstrated to poorly estimate fracture risk. Further parameters in the hands of the clinicians are represented by the hip structural analysis (HSA) variables, which include geometric information of the proximal femur cross section. The purpose of this study was to investigate the suitability of HSA parameters as additional hip fracture risk predictors. With this aim, twenty-eight three-dimensional patient-specific models of the proximal femur were built from computed tomography (CT) images and a sideways fall condition was reproduced by finite element (FE) analyses. A tensile or compressive predominance based on minimum and maximum principal strains was determined at each volume element and a risk factor (RF) was calculated. The power of HSA variables combinations to predict the maximum superficial RF values was assessed by multivariate linear regression analysis. The optimal regression model, identified through the Akaike information criterion (AIC), only comprises two variables: the buckling ratio (BR) and the neck-shaft angle (NSA). In order to validate the study, the model was tested on two additional patients who suffered a hip fracture after a fall. The results classified the patients in the high risk level, confirming the prediction power of the adopted model.

Proximal femur geometry assessed by hip structural analysis in hip fracture in women

2015 ◽  
Vol 27 (S1) ◽  
pp. 17-21 ◽  
Author(s):  
Giovanni Iolascon ◽  
Antimo Moretti ◽  
Giovanni Cannaviello ◽  
Giuseppina Resmini ◽  
Francesca Gimigliano
Keyword(s):  
Hip Fracture ◽  
Structural Analysis ◽  
Proximal Femur ◽  
Hip Structural Analysis ◽  
Femur Geometry

scholarly journals Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures

2008 ◽  
Vol 23 (12) ◽  
pp. 1892-1904 ◽  
Author(s):  
Stephen Kaptoge ◽  
Thomas J Beck ◽  
Jonathan Reeve ◽  
Katie L Stone ◽  
Teresa A Hillier ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Structural Analysis ◽  
Fracture Risk ◽  
Osteoporotic Fractures ◽  
Hip Structural Analysis ◽  
Hip Fracture Risk ◽  
Femur Geometry

scholarly journals Vertebral Fractures in Ireland: A Sub-analysis of the DXA HIP Project

2021 ◽  
Author(s):  
John J Carey ◽  
Lan Yang ◽  
E. Erjiang ◽  
Tingyan Wang ◽  
Kelly Gorham ◽  
...  
Keyword(s):  
Hip Fracture ◽  
High Risk ◽  
Vertebral Fractures ◽  
Fragility Fractures ◽  
Vertebral Fracture Assessment ◽  
International Studies ◽  
Men And Women ◽  
Women Subjects ◽  
The World ◽  
High Risk Populations

AbstractOsteoporosis is an important global health problem resulting in fragility fractures. The vertebrae are the commonest site of fracture resulting in extreme illness burden, and having the highest associated mortality. International studies show that vertebral fractures (VF) increase in prevalence with age, similarly in men and women, but differ across different regions of the world. Ireland has one of the highest rates of hip fracture in the world but data on vertebral fractures are limited. In this study we examined the prevalence of VF and associated major risk factors, using a sample of subjects who underwent vertebral fracture assessment (VFA) performed on 2 dual-energy X-ray absorptiometry (DXA) machines. A total of 1296 subjects aged 40 years and older had a valid VFA report and DXA information available, including 254 men and 1042 women. Subjects had a mean age of 70 years, 805 (62%) had prior fractures, mean spine T-score was − 1.4 and mean total hip T-scores was − 1.2, while mean FRAX scores were 15.4% and 4.8% for major osteoporotic fracture and hip fracture, respectively. Although 95 (7%) had a known VF prior to scanning, 283 (22%) patients had at least 1 VF on their scan: 161 had 1, 61 had 2, and 61 had 3 or more. The prevalence of VF increased with age from 11.5% in those aged 40–49 years to > 33% among those aged ≥ 80 years. Both men and women with VF had significantly lower BMD at each measured site, and significantly higher FRAX scores, P < 0.01. These data suggest VF are common in high risk populations, particularly older men and women with low BMD, previous fractures, and at high risk of fracture. Urgent attention is needed to examine effective ways to identify those at risk and to reduce the burden of VF.

Physical Inactivity and Pain in Older Men and Women with Hip Fracture History

Gerontology ◽  
2011 ◽  
Vol 57 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Anu Salpakoski ◽  
Erja Portegijs ◽  
Mauri Kallinen ◽  
Sanna Sihvonen ◽  
Ilkka Kiviranta ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Physical Inactivity ◽  
Older Men ◽  
Men And Women ◽  
Fracture History ◽  
Older Men And Women

Comparison of DXA Hip Structural Analysis with Volumetric QCT

2008 ◽  
Vol 11 (2) ◽  
pp. 232-236 ◽  
Author(s):  
Sven Prevrhal ◽  
John A. Shepherd ◽  
Kenneth G. Faulkner ◽  
Ken W. Gaither ◽  
Dennis M. Black ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Hip Structural Analysis
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