TY - JOUR
T1 - Structural determinants of vertebral fracture risk
AU - Mellon, L. Joseph
AU - Riggs, B. Lawrence
AU - Keaveny, Tony M.
AU - Achenbach, Sara J.
AU - Hoffmann, Paul F.
AU - Camp, Jon J.
AU - Rouleau, Peggy A.
AU - Bouxsein, Mary L.
AU - Amin, Shreyasee
AU - Atkinson, Elizabeth J.
AU - Robb, Richard A.
AU - Khosla, Sundeep
PY - 2007/12
Y1 - 2007/12
N2 - Vertebral fractures are more strongly associated with specific bone density, structure, and strength parameters than with ureal BMD, but all of these variables are correlated. Introduction: It is unclear whether the association of areal BMD (aBMD) wilh vertebral fracture risk depends on bone density per se, bone macro- or microstructure, overall bone strength, or spine load/bone strength ratios. Materials and Methods: From an age-stratified sample of Rochester, MN, women, we identified 40 with a clinically diagnosed vertebral fracture (confirmed scmiquantitatively) caused by moderate trauma (cases; mean age. 78.6 ± 9.0 yr) and compared them with 40 controls with no osteoporotic fracture (mean age, 70.9 ± 6.8 yr). Lumbar spine volumetric BMD (vBMD) and geometry were assessed by central QCT, whereas microstructure was evaluated by high-resolution pQCT at the ultradistal radius. Vertebral failure load (-strength) was estimated from voxel-based finite element models, and the factor-of-risk (φ) was determined as the ratio of applied spine loads to failure load. Results: Spine loading (axial compressive force on L3) was similar in vertebral fracture cases and controls (e.g., for 90° forward flexion, 2639 versus 2706 N; age-adjusted p = 0.173). However, fracture cases had inferior values for most bone density and structure variables. Bone strength measures were also reduced, and the factor-of-risk was 35-37% greater (worse) among women with a vertebral fracture. By age-adjusted logistic regression, relative risks for the strongest fracture predictor in each of the five main variable categories were bone density (total lumbar spine vBMD: OR per SD change, 2.2; 95% CI, 1.1-4.3). bone geometry (vertebral apparent cortical thickness: OR, 2.1; 95% CI, 1.1-4.1), bone microstructure (none significant): bone strength ("cortical" [outer 2 mm] compressive strength: OR. 2.5; 95% CI, 1.3 4.8), and factor-of-risk (φ for 90° forward flexion/overall vertebral compressive strength: OR, 3.2; 95% CI, 1.4-7.5). These variables were correlated with spine aBMD (partial r, -0.32 to 0.75), but each was a stronger predictor of fracture in the logistic regression analyses. Conclusions: The association of aBMD with vertebral fracture risk is explained by its correlation with more specific bone density, structure, and strength parameters. These may allow deeper insights into fracture pathogenesis.
AB - Vertebral fractures are more strongly associated with specific bone density, structure, and strength parameters than with ureal BMD, but all of these variables are correlated. Introduction: It is unclear whether the association of areal BMD (aBMD) wilh vertebral fracture risk depends on bone density per se, bone macro- or microstructure, overall bone strength, or spine load/bone strength ratios. Materials and Methods: From an age-stratified sample of Rochester, MN, women, we identified 40 with a clinically diagnosed vertebral fracture (confirmed scmiquantitatively) caused by moderate trauma (cases; mean age. 78.6 ± 9.0 yr) and compared them with 40 controls with no osteoporotic fracture (mean age, 70.9 ± 6.8 yr). Lumbar spine volumetric BMD (vBMD) and geometry were assessed by central QCT, whereas microstructure was evaluated by high-resolution pQCT at the ultradistal radius. Vertebral failure load (-strength) was estimated from voxel-based finite element models, and the factor-of-risk (φ) was determined as the ratio of applied spine loads to failure load. Results: Spine loading (axial compressive force on L3) was similar in vertebral fracture cases and controls (e.g., for 90° forward flexion, 2639 versus 2706 N; age-adjusted p = 0.173). However, fracture cases had inferior values for most bone density and structure variables. Bone strength measures were also reduced, and the factor-of-risk was 35-37% greater (worse) among women with a vertebral fracture. By age-adjusted logistic regression, relative risks for the strongest fracture predictor in each of the five main variable categories were bone density (total lumbar spine vBMD: OR per SD change, 2.2; 95% CI, 1.1-4.3). bone geometry (vertebral apparent cortical thickness: OR, 2.1; 95% CI, 1.1-4.1), bone microstructure (none significant): bone strength ("cortical" [outer 2 mm] compressive strength: OR. 2.5; 95% CI, 1.3 4.8), and factor-of-risk (φ for 90° forward flexion/overall vertebral compressive strength: OR, 3.2; 95% CI, 1.4-7.5). These variables were correlated with spine aBMD (partial r, -0.32 to 0.75), but each was a stronger predictor of fracture in the logistic regression analyses. Conclusions: The association of aBMD with vertebral fracture risk is explained by its correlation with more specific bone density, structure, and strength parameters. These may allow deeper insights into fracture pathogenesis.
KW - Bone density
KW - Bone quality
KW - Finite element anulysis
KW - QCT
KW - Vertebral fracture
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U2 - 10.1359/jbmr.070728
DO - 10.1359/jbmr.070728
M3 - Article
C2 - 17680721
AN - SCOPUS:38749092637
SN - 0884-0431
VL - 22
SP - 1885
EP - 1892
JO - Journal of Bone and Mineral Research
JF - Journal of Bone and Mineral Research
IS - 12
ER -