In which patients does lumbar spine trabecular bone score (TBS) have the largest effect?

被引:43
|
作者
Martineau, P. [1 ]
Leslie, W. D. [2 ]
Johansson, H. [3 ,4 ,5 ]
Harvey, N. C. [6 ,7 ,8 ]
McCloskey, E., V [3 ,4 ]
Hans, D. [9 ]
Kanis, J. A. [3 ,4 ,5 ]
机构
[1] Univ Ottawa, Dept Nucl Med, Ottawa, ON, Canada
[2] Univ Manitoba, Dept Internal Med, Winnipeg, MB, Canada
[3] Univ Sheffield, Ctr Metab Bone Dis, Med Sch, Sheffield, S Yorkshire, England
[4] Univ Sheffield, Acad Unit Bone Metab, Dept Oncol & Metab, Med Sch, Sheffield, S Yorkshire, England
[5] Catholic Univ Australia, Inst Hlth & Aging, Melbourne, Vic, Australia
[6] Univ Southampton, MRC Lifecourse Epidemiol Unit, Southampton, Hants, England
[7] Univ Southampton, NIHR Southampton Biomed Res Ctr, Tremona Rd, Southampton, Hants, England
[8] Univ Hosp Southampton NHS Fdn Trust, Tremona Rd, Southampton, Hants, England
[9] Lausanne Univ Hosp, Bone & Joint Dept, Lausanne, Switzerland
基金
美国国家卫生研究院; 英国医学研究理事会;
关键词
Osteoporosis; Fracture prediction; FRAX; Trabecular bone score; FRACTURE RISK PREDICTION; MINERAL DENSITY; PRIMARY HYPERPARATHYROIDISM; VERTEBRAL FRACTURES; WOMEN; MICROARCHITECTURE; OSTEOPOROSIS; VALIDATION; QUALITY; COHORT;
D O I
10.1016/j.bone.2018.05.026
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Lumbar spine TBS, a texture index derived from lumbar spine dual-energy x-ray absorptiometry (DXA) images, enhances fracture prediction. No studies to date have studied a broad range of clinical variables to determine which patients might experience the greatest benefit from the use of TBS. Methods: Using the Manitoba BMD Registry, we identified 37,176 subjects with baseline DXA, FRAX (R)-based fracture probability, lumbar spine TBS, and minimum 5 years of observation. Subgroups considered were based on sex, age, body mass index (BMI), prior fracture, chronic obstructive lung disease (COPD), high alcohol use, rheumatoid arthritis (RA), high glucocorticoid use, osteoporotic femoral neck T-score, number of comorbidities, diabetes, secondary osteoporosis, and prior osteoporosis treatment. Non-traumatic major osteoporotic fractures (MOF, n = 3741) and hip fractures (HF, n = 1008) were identified using population-based health services data. We analyzed baseline TBS using analysis of covariance (ANCOVA). FRAX-adjusted hazard ratios (HR) per SD reduction in TBS were estimated and tested for interactions. Categorical net reclassification improvement (NRI) was estimated using fixed FRAX-based intervention cut-offs. Results: Adjusted baseline TBS was significantly lower (p <= 0.001) for women (-4.2%), osteoporotic hip T-score (-4.0%), COPD (-2.8%), diabetes (-2.6%), high alcohol use (-2.3%), prior fracture (-2.2%), glucocorticoid use (-15%), RA (-0.9%) and secondary osteoporosis (-0.8%), whereas recent osteoporosis therapy was associated with greater TBS (+1.5%). HRs per SD reduction in TBS for fracture prediction were larger for age < 65 vs 65 + (MOF p-interaction = 0.004, HF p-interaction < 0.001), without vs with prior fracture (MOF p-interaction = 0.003, HF p-interaction = 0.048), without vs with glucocorticoid use (HF p-interaction = 0.029), lower vs higher comorbidity score (HF p-interaction < 0.001), and without vs with osteoporosis treatment (MOF p-interaction = 0.005). NRI for using the TBS adjustment to FRAX in all subjects was 1.2% for MOF (p = 0.002) and 1.7% for HF (p = 0.016). NRI was greater in subjects age < 65 y (MOF:1.7%, HF:5.6%), no prior fracture (HF: 2.4%), non-osteoporotic T-score (HF: 3.0%), and high glucocorticoid use (MOF: 3.9%). Conclusion: TBS is sensitive to the effects of multiple risk factors for fracture. TBS-adjusted fracture risk assessment resulted in significant improvements for multiple subgroups.
引用
收藏
页码:161 / 168
页数:8
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