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Published in: Osteoporosis International 6/2010

01-06-2010 | Original Article

Hip structural geometry and incidence of hip fracture in postmenopausal women: what does it add to conventional bone mineral density?

Authors: A. Z. LaCroix, T. J. Beck, J. A. Cauley, C. E. Lewis, T. Bassford, R. Jackson, G. Wu, Z. Chen

Published in: Osteoporosis International | Issue 6/2010

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Abstract

Summary

Hip geometry measurements of outer diameter and buckling ratio at the intertrochanter and shaft of the hip dual energy X-ray absorptiometry (DXA) scan predicted incident hip fracture in postmenopausal women. These associations, independent of age, body size, clinical risk factors, and conventional areal bone mineral density, suggest hip geometry plays a role in fracture etiology and may aid in improving identification of older women at high fracture risk.

Introduction

This study examined whether hip geometry parameters predicted hip fracture independent of body size, clinical risk factors, and conventional femoral neck bone mineral density (aBMD) and whether summary factors could be identified to predict hip fracture.

Methods

We studied 10,290 postmenopausal women from the Women's Health Initiative. Eight thousand eight hundred forty-three remained fracture free during follow-up to 11 years of follow-up, while 147 fractured their hip, and 1,300 had other clinical fractures. Hip structural analysis software measured bone cross-sectional area, outer diameter, section modulus, average cortical thickness, and buckling ratio on archived DXA scans in three hip regions: narrow neck, intertrochanter, and shaft. Hazard ratios were estimated using Cox proportional hazards models for individual parameters and for composite factors extracted from principal components analysis from all 15 parameters.

Results

After adjustment for age, body size, clinical risk factors, and aBMD, intertrochanter and shaft outer diameter measurements remained independent predictors of hip fracture with hazard ratios for a one standard deviation increase of 1.61 (95% confidence interval (CI), 1.25–2.08) for the intertrochanter and 1.36 (95% CI, 1.06–1.76) for the shaft. Average buckling ratios also independently predicted incident hip fracture with hazard ratios of 1.43 (95% CI, 1.10–1.87) at the intertrochanter and 1.24 (95% CI, 1.00–1.55) at the shaft. Although two composite factors were extracted from principal components analysis, neither was superior to these individual measurements at predicting incident hip fracture.

Conclusions

Two hip geometry parameters, intertrochanter outer diameter and buckling ratio, predict incident hip fracture after accounting for clinical risk factors and aBMD.
Literature
1.
go back to reference Department of Health and Human Services (2004) Bone health and osteoporosis: a report of the surgeon general. Office of the Surgeon General, Rockville, MD Department of Health and Human Services (2004) Bone health and osteoporosis: a report of the surgeon general. Office of the Surgeon General, Rockville, MD
2.
go back to reference Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 359:1761–1767CrossRefPubMed Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 359:1761–1767CrossRefPubMed
3.
go back to reference Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22:465–475CrossRefPubMed Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22:465–475CrossRefPubMed
4.
go back to reference Seeman E (2008) Bone quality: the material and structural basis of bone strength. J Bone Miner Metab 26:1–8CrossRefPubMed Seeman E (2008) Bone quality: the material and structural basis of bone strength. J Bone Miner Metab 26:1–8CrossRefPubMed
6.
go back to reference Johnell O, Kanis JA, Oden A, Johansson H, De Laet C, Delmas P, Eisman JA, Fujiwara S, Kroger H, Mellstrom D, Meunier PJ, Melton LJ 3rd, O'Neill T, Pols H, Reeve J, Silman A, Tenenhouse A (2005) Predictive value of BMD for hip and other fractures. J Bone Miner Res 20:1185–1194CrossRefPubMed Johnell O, Kanis JA, Oden A, Johansson H, De Laet C, Delmas P, Eisman JA, Fujiwara S, Kroger H, Mellstrom D, Meunier PJ, Melton LJ 3rd, O'Neill T, Pols H, Reeve J, Silman A, Tenenhouse A (2005) Predictive value of BMD for hip and other fractures. J Bone Miner Res 20:1185–1194CrossRefPubMed
7.
go back to reference Kaptoge S, Beck TJ, Reeve J, Stone KL, Hillier TA, Cauley JA, Cummings SR (2008) Prediction of incident hip fracture risk by femur geometry variables measured by hip structural analysis in the study of osteoporotic fractures. J Bone Miner Res 23:1892–1904CrossRefPubMed Kaptoge S, Beck TJ, Reeve J, Stone KL, Hillier TA, Cauley JA, Cummings SR (2008) Prediction of incident hip fracture risk by femur geometry variables measured by hip structural analysis in the study of osteoporotic fractures. J Bone Miner Res 23:1892–1904CrossRefPubMed
8.
go back to reference Rivadeneira F, Zillikens MC, De Laet CE, Hofman A, Uitterlinden AG, Beck TJ, Pols HA (2007) Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study. J Bone Miner Res 22:1781–1790CrossRefPubMed Rivadeneira F, Zillikens MC, De Laet CE, Hofman A, Uitterlinden AG, Beck TJ, Pols HA (2007) Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study. J Bone Miner Res 22:1781–1790CrossRefPubMed
9.
go back to reference (1998) Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group. Control Clin Trials 19:61-109 (1998) Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group. Control Clin Trials 19:61-109
10.
go back to reference Curb JD, McTiernan A, Heckbert SR, Kooperberg C, Stanford J, Nevitt M, Johnson KC, Proulx-Burns L, Pastore L, Criqui M, Daugherty S (2003) Outcomes ascertainment and adjudication methods in the Women's Health Initiative. Ann Epidemiol 13:S122–S128CrossRefPubMed Curb JD, McTiernan A, Heckbert SR, Kooperberg C, Stanford J, Nevitt M, Johnson KC, Proulx-Burns L, Pastore L, Criqui M, Daugherty S (2003) Outcomes ascertainment and adjudication methods in the Women's Health Initiative. Ann Epidemiol 13:S122–S128CrossRefPubMed
11.
go back to reference Hays J, Hunt JR, Hubbell FA, Anderson GL, Limacher M, Allen C, Rossouw JE (2003) The Women's Health Initiative recruitment methods and results. Ann Epidemiol 13:S18–S77CrossRefPubMed Hays J, Hunt JR, Hubbell FA, Anderson GL, Limacher M, Allen C, Rossouw JE (2003) The Women's Health Initiative recruitment methods and results. Ann Epidemiol 13:S18–S77CrossRefPubMed
12.
go back to reference Martin RB, Burr DB (1984) Non-invasive measurement of long bone cross-sectional moment of inertia by photon absorptiometry. J Biomech 17:195–201CrossRefPubMed Martin RB, Burr DB (1984) Non-invasive measurement of long bone cross-sectional moment of inertia by photon absorptiometry. J Biomech 17:195–201CrossRefPubMed
13.
go back to reference Robbins J, Aragaki AK, Kooperberg C, Watts N, Wactawski-Wende J, Jackson RD, LeBoff MS, Lewis CE, Chen Z, Stefanick ML, Cauley J (2007) Factors associated with 5-year risk of hip fracture in postmenopausal women. JAMA 298:2389–2398CrossRefPubMed Robbins J, Aragaki AK, Kooperberg C, Watts N, Wactawski-Wende J, Jackson RD, LeBoff MS, Lewis CE, Chen Z, Stefanick ML, Cauley J (2007) Factors associated with 5-year risk of hip fracture in postmenopausal women. JAMA 298:2389–2398CrossRefPubMed
14.
go back to reference Beck TJ, Looker AC, Ruff CB, Sievanen H, Wahner HW (2000) Structural trends in the aging femoral neck and proximal shaft: analysis of the Third National Health and Nutrition Examination Survey dual energy X-ray absorptiometry data. J Bone Miner Res 15:2297–2304CrossRefPubMed Beck TJ, Looker AC, Ruff CB, Sievanen H, Wahner HW (2000) Structural trends in the aging femoral neck and proximal shaft: analysis of the Third National Health and Nutrition Examination Survey dual energy X-ray absorptiometry data. J Bone Miner Res 15:2297–2304CrossRefPubMed
15.
go back to reference Feik SA, Thomas CD, Bruns R, Clement JG (2000) Regional variations in cortical modeling in the femoral mid-shaft: sex and age differences. Am J Phys Anthropol 112:191–205CrossRefPubMed Feik SA, Thomas CD, Bruns R, Clement JG (2000) Regional variations in cortical modeling in the femoral mid-shaft: sex and age differences. Am J Phys Anthropol 112:191–205CrossRefPubMed
16.
go back to reference Martin RB, Atkinson PJ (1977) Age and sex-related changes in the structure and strength of the human femoral shaft. J Biomech 10:223–231CrossRefPubMed Martin RB, Atkinson PJ (1977) Age and sex-related changes in the structure and strength of the human femoral shaft. J Biomech 10:223–231CrossRefPubMed
17.
go back to reference Mayhew PM, Thomas CD, Clement JG, Loveridge N, Beck TJ, Bonfield W, Burgoyne CJ, Reeve J (2005) Relation between age, femoral neck cortical stability, and hip fracture risk. Lancet 366:129–135CrossRefPubMed Mayhew PM, Thomas CD, Clement JG, Loveridge N, Beck TJ, Bonfield W, Burgoyne CJ, Reeve J (2005) Relation between age, femoral neck cortical stability, and hip fracture risk. Lancet 366:129–135CrossRefPubMed
18.
go back to reference Ruff CB, Hayes WC (1982) Subperiosteal expansion and cortical remodeling of the human femur and tibia with aging. Science 217:945–948CrossRefPubMed Ruff CB, Hayes WC (1982) Subperiosteal expansion and cortical remodeling of the human femur and tibia with aging. Science 217:945–948CrossRefPubMed
19.
go back to reference Ruff CB, Hayes WC (1988) Sex differences in age-related remodeling of the femur and tibia. J Orthop Res 6:886–896CrossRefPubMed Ruff CB, Hayes WC (1988) Sex differences in age-related remodeling of the femur and tibia. J Orthop Res 6:886–896CrossRefPubMed
20.
go back to reference Sievanen H, Uusi-Rasi K, Heinonen A, Oja P, Vuori I (1999) Disproportionate, age-related bone loss in long bone ends: a structural analysis based on dual energy X-ray absorptiometry. Osteoporos Int 10:295–302CrossRefPubMed Sievanen H, Uusi-Rasi K, Heinonen A, Oja P, Vuori I (1999) Disproportionate, age-related bone loss in long bone ends: a structural analysis based on dual energy X-ray absorptiometry. Osteoporos Int 10:295–302CrossRefPubMed
21.
go back to reference Smith RW Jr, Walker RR (1964) Femoral expansion in aging women: implications for osteoporosis and fractures. Science 145:156–157CrossRefPubMed Smith RW Jr, Walker RR (1964) Femoral expansion in aging women: implications for osteoporosis and fractures. Science 145:156–157CrossRefPubMed
22.
go back to reference Stein MS, Thomas CD, Feik SA, Wark JD, Clement JG (1998) Bone size and mechanics at the femoral diaphysis across age and sex. J Biomech 31:1101–1110CrossRefPubMed Stein MS, Thomas CD, Feik SA, Wark JD, Clement JG (1998) Bone size and mechanics at the femoral diaphysis across age and sex. J Biomech 31:1101–1110CrossRefPubMed
Metadata
Title
Hip structural geometry and incidence of hip fracture in postmenopausal women: what does it add to conventional bone mineral density?
Authors
A. Z. LaCroix
T. J. Beck
J. A. Cauley
C. E. Lewis
T. Bassford
R. Jackson
G. Wu
Z. Chen
Publication date
01-06-2010
Publisher
Springer-Verlag
Published in
Osteoporosis International / Issue 6/2010
Print ISSN: 0937-941X
Electronic ISSN: 1433-2965
DOI
https://doi.org/10.1007/s00198-009-1056-1

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