scholarly journals Bone cross-sectional geometry in adult patients with hypophosphatemic rickets: a hip structural analysis study

2013 ◽  
Author(s):  
Charlotte Ejersted ◽  
Signe Beck-Nielsen ◽  
Jeppe Gram ◽  
Kim Brixen
Keyword(s):  
Structural Analysis ◽  
Adult Patients ◽  
Hypophosphatemic Rickets ◽  
Hip Structural Analysis ◽  
Cross Sectional ◽  
Analysis Study

scholarly journals Bone cross-sectional geometry in adolescents and young women with anorexia nervosa: a hip structural analysis study

2007 ◽  
Vol 18 (6) ◽  
pp. 797-804 ◽  
Author(s):  
A. D. DiVasta ◽  
T. J. Beck ◽  
M. A. Petit ◽  
H. A. Feldman ◽  
M. S. LeBoff ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Structural Analysis ◽  
Young Women ◽  
Hip Structural Analysis ◽  
Cross Sectional ◽  
Analysis Study

scholarly journals Bone cross-sectional geometry in male runners, gymnasts, swimmers and non-athletic controls: a hip-structural analysis study

2011 ◽  
Vol 112 (2) ◽  
pp. 535-541 ◽  
Author(s):  
Karen Hind ◽  
Lisa Gannon ◽  
Emma Whatley ◽  
Carlton Cooke ◽  
John Truscott
Keyword(s):  
Structural Analysis ◽  
Hip Structural Analysis ◽  
Cross Sectional ◽  
Analysis Study

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.

scholarly journals AB0607 DO HIP STRUCTURAL ANALYSIS MEASUREMENTS PREDICT FRACTURE RISK IN PATIENTS WITH POLYMYALGIA RHEUMATICA?

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1339.2-1339
Author(s):  
R. Ark ◽  
M. Bukhari
Keyword(s):  
Structural Analysis ◽  
Femoral Neck ◽  
Fracture Risk ◽  
Polymyalgia Rheumatica ◽  
Odds Ratio ◽  
Regression Models ◽  
Hip Structural Analysis ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Shaft Angle

Background:Polymyalgia Rheumatica (PMR) is an inflammatory condition which commonly affects the elderly. Risk of fracture is higher in this group of patients compared to the general population and can lead to increased morbidity and mortality (1). Hip structural analysis (HSA) is a technique that uses dual-energy X-ray absorptiometry (DEXA) images to assess hip bone structure (2).Objectives:To identify whether HSA measurements help predict fracture in patients with PMR.Methods:Data were collected from June 2004 to October 2010 from PMR patients who had a DEXA scan at a District General Hospital. This included hip axis length (HAL), cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), distance from centre of femoral head to centre of femoral neck (D1) and to inter-trochanteric line (D2), mean femoral neck diameter (D3), shaft angle (A) neck/shaft angle (Θ) and proximal femur strength index (SI) and distance from centre of mass of femoral neck to superior neck margin (Y). Fracture was predicted by a series of binomial logistic regression models, adjusted for age and sex. Odds ratios with 95% confidence intervals and area under the receiver operating characteristic curve (AUC) were calculated.Results:714 patients with PMR were identified, 182 were male and the mean age was 70.5. HAL, CSMI, D1, D2, D3, A, Θ, SI and Y were not significant predictors of fracture in regression models; odds ratios are included in Table 1. CSA predicted fracture risk; odds ratio was 0.988 with a 95% confidence interval of 0.980-0.997. The AUC for the CSA regression model was 0.6739.Table 1.Odds ratios of fracture for different HSA parametersHSA ParameterOdds Ratio (95% confidence interval)HAL1.008 (0.982 - 1.035)CSMI1.000 (0.999 - 1.000)CSA0.988 (0.980 - 0.997)D11.029 (0.972 - 1.089)D21.010 (0.981 - 1.040)D31.033 (0.962 - 1.109)Y1.087 (0.966 - 1.223)A0.983 (0.940 - 1.029)Θ1.007 (0.975 - 1.039)SI0.683 (0.406 - 1.150)Conclusion:These data suggest that CSA helps predict the risk of fracture in patients with PMR. HAL, CSMI, D1, D2, D3, A, Θ, SI and Y do not predict fracture risk. Limitations of the study are that it was retrospective and only studied patients who underwent DEXA scans. The study may have been underpowered to detect the impact of some HSA measurements on fracture risk.References:[1]Chatzigeorgiou C, Mackie SL. Comorbidity in polymyalgia rheumatica. Reumatismo. 2018; 70 1:35-43. Available from: http://eprints.whiterose.ac.uk/132109/\\.[2]Kaptoge S, Beck TJ, Reeve J, Stone KL, Hillier TA, Cauley JA, et al. Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures. Journal of Bone and Mineral Research. 2008; 23 (12): 1892-1904. Available from: doi: https://doi.org/10.1359/jbmr.080802Disclosure of Interests:None declared.

scholarly journals POS0511 USING HIP STRUCTURAL ANALYSIS MEASUREMENTS TO PREDICT FRACTURE IN RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 488.2-489
Author(s):  
R. Ark ◽  
M. Bukhari
Keyword(s):  
Rheumatoid Arthritis ◽  
Structural Analysis ◽  
Femoral Neck ◽  
Fracture Risk ◽  
Regression Models ◽  
Hip Structural Analysis ◽  
Odds Ratios ◽  
Mineral Density ◽  
Cross Sectional ◽  
Femur Strength Index

Background:Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease and increases the risk of developing osteoporosis. Incidence of fracture is higher in this group of patients compared to the general population and can lead to increased morbidity (1). Bone strength of the proximal femur is not only linked to bone mineral density; it also depends on the geometric properties of the bone mass (2). Hip structural analysis (HSA) is a technique used to assess hip bone structure that takes geometric measurements of the femur from dual-energy X-ray absorptiometry (DEXA) images (3).Objectives:To determine whether HSA measurements help predict fracture in patients with RA.Methods:Data were collected from June 2004 to August 2017 from RA patients who underwent a DEXA scan at a District General Hospital. This included hip axis length (HAL), cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), distance from centre of femoral head to centre of femoral neck (D1) and to inter-trochanteric line (D2), mean femoral neck diameter (D3), shaft angle (A) neck/shaft angle (Θ) and proximal femur strength index (SI) and distance from centre of mass of femoral neck to superior neck margin (Y). Fracture was predicted by a series of binomial logistic regression models, adjusted for sex, age and bone mineral density (BMD). Odds ratios with 95% confidence intervals and area under the receiver operating characteristic curve (AUC) were calculated.Results:2077 patients with RA were identified, 1632 were female and the mean age was 66.7. HAL, D1, D2, D3, A, Θ and Y were not significant predictors of fracture in regression models; odds ratios are included in table 1. CSA, CSMI and SI predicted fracture risk. The AUC for CSA, CSMI and SI regression models were 0.632, 0.609 and 0.625 respectively.Table 1.Odds ratios of fracture for different HSA parameters in RA patientsHSA ParameterOdds Ratio (95% Confidence Interval)HAL1.01410 (0.99958 - 1.02883)CSMI0.99994 (0.99990 - 0.99998)CSA0.98523 (0.98065 - 0.98982)D11.01683 (0.98925 - 1.04518)D21.01286 (0.99886 - 1.02705)D31.00664 (0.96958 - 1.04511)Y1.04580 (0.98633 - 1.10886)A1.00898 (0.98878 - 1.02959)Θ1.00276 (0.98672 - 1.01906)SI0.56769 (0.43400 - 0.74258)Figure 1.Receiver operating characteristic curves for CSA (red), CSMI (green) and SI (blue). AUC for CSA was 0.632, CSMI-0.609 and SI-0.625.Conclusion:These data suggest that CSA, CSMI and SI help predict the fracture risk in patients with RA. HAL, D1, D2, D3, A, Θ and Y do not predict risk of fracture. The CSA regression model was the strongest predictor of fracture. HSA measurements can therefore help predict risk of fracture in conjunction with other factors. Limitations of the study are that it was retrospective and only studied patients who had a DEXA scan.References:[1]Xue A, Wu S, Jiang L, Feng A, Guo H, Zhao P. Bone fracture risk in patients with rheumatoid arthritis: A meta-analysis. Medicine. 2017; 96 (36): e6983. Available from: doi: 10.1097/MD.0000000000006983.[2]Faulkner KG, Wacker WK, Barden HS, Simonelli C, Burke PK, Ragi S, Del Rio L. Femur strength index predicts hip fracture independent of bone density and hip axis length. Osteoporos Int. 2006;17(4):593-9. doi: 10.1007/s00198-005-0019-4.[3]Kaptoge S, Beck TJ, Reeve J, Stone KL, Hillier TA, Cauley JA, et al. Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures. Journal of Bone and Mineral Research. 2008; 23 (12): 1892-1904. Available from: doi: https://doi.org/10.1359/jbmr.080802.Disclosure of Interests:None declared

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