Nonstandard Lumbar Region in Predicting Fracture Risk

被引:2
|
作者
Alajlouni, Dima [1 ]
Bliuc, Dana [1 ]
Tran, Thach [1 ]
Pocock, Nicholas [1 ,2 ]
Nguyen, Tuan V. [1 ,3 ]
Eisman, John A. [1 ,3 ,4 ,5 ,6 ]
Center, Jacqueline R. [1 ,3 ,4 ]
机构
[1] Garvan Inst Med Res, Osteoporosis & Bone Biol, Sydney, NSW, Australia
[2] St Vincents Hosp, Dept Nucl Med, Sydney, NSW, Australia
[3] Univ New South Wales UNSW Australia, Fac Med, Sydney, NSW, Australia
[4] St Vincents Hosp, Clin Sch, Sydney, NSW, Australia
[5] Garvan Inst Med Res, Clin Translat & Adv Educ, Sydney, NSW, Australia
[6] Univ Notre Dame Australia, Sch Med, Sydney, NSW, Australia
基金
英国医学研究理事会;
关键词
Bone mineral density; femoral neck; fracture risk prediction; lumbar spine; osteoporosis; BONE-MINERAL DENSITY; OSTEOPOROTIC FRACTURES; MULTIPLE SITES; FEMORAL-NECK; SPINE BMD; WOMEN; MEN; FRAX; HIP; OSTEOARTHRITIS;
D O I
10.1016/j.jocd.2017.05.014
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Femoral neck (FN) bone mineral density (BMD) is the most commonly used skeletal site to estimate fracture risk. The role of lumbar spine (LS) BMD in fracture risk prediction is less clear due to osteophytes that spuriously increase LS BMD, particularly at lower levels. The aim of this study was to compare fracture predictive ability of upper L1-L2 BMD with standard L2-L4 BMD and assess whether the addition of either LS site could improve fracture prediction over FN BMD. This study comprised a prospective cohort of 3016 women and men over 60 yr from the Dubbo Osteoporosis Epidemiology Study followed up for occurrence of minimal trauma fractures from 1989 to 2014. Dual-energy X-ray absorptiometry was used to measure BMD at L1-L2, L2-L4, and FN at baseline. Fracture risks were estimated using Cox proportional hazards models separately for each site. Predictive performances were compared using receiver operating characteristic curve analyses. There were 565 women and 179 men with a minimal trauma fracture during a mean of 11 +/- 7 yr. L1-L2 BMD T-score was significantly lower than L2-L4 T-score in both genders (p < 0.0001). L1-L2 and L2-L4 BMD models had a similar fracture predictive ability. LS BMD was better than FN BMD in predicting vertebral fracture risk in women [area under the curve 0.73 (95% confidence interval, 0.68-0.79) vs 0.68 (95% confidence interval, 0.62-0.74), but FN was superior for hip fractures prediction in both women and men. The addition of L1-L2 or L2-L4 to FN BMD in women increased overall and vertebral predictive power compared with FN BMD alone by 1% and 4%, respectively (p < 0.05). In an elderly population, L1-L2 is as good as but not better than L2-L4 site in predicting fracture risk. The addition of LS BMD to FN BMD provided a modest additional benefit in overall fracture risk. Further studies in individuals with spinal degenerative disease are needed.
引用
收藏
页码:220 / 226
页数:7
相关论文
共 50 条
  • [31] Validating the Fracture Risk Assessment Tool Score in a US Population-Based Study of Patients With Rheumatoid Arthritis
    Mousa, Jehan
    Peterson, Madeline N.
    Crowson, Cynthia S.
    Achenbach, Sara J.
    Atkinson, Elizabeth J.
    Amin, Shreyasee
    Khosla, Sundeep
    Davis, John M., III
    Myasoedova, Elena
    JOURNAL OF RHEUMATOLOGY, 2023, 50 (10) : 1279 - 1286
  • [32] Electronic Health Records (EHRs) Can Identify Patients at High Risk of Fracture but Require Substantial Race Adjustments to Currently Available Fracture Risk Calculators
    Jain, Rajesh K.
    Weiner, Mark
    Polley, Eric
    Iwamaye, Amy
    Huang, Elbert
    Vokes, Tamara
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2023, 38 (16) : 3451 - 3459
  • [33] Menopausal hormone therapy reduces the risk of fracture regardless of falls risk or baseline FRAX probability - results from the Women's Health Initiative hormone therapy trials
    Lorentzon, Mattias
    Johansson, Helena
    Harvey, Nicholas C.
    Liu, Enwu
    Vandenput, Liesbeth
    Crandall, Carolyn J.
    Cauley, Jane A.
    LeBoff, Meryl S.
    McCloskey, Eugene, V
    Kanis, John A.
    OSTEOPOROSIS INTERNATIONAL, 2022, 33 (11) : 2297 - 2305
  • [34] Fracture risk assessment in Latin America: is Frax™ an adaptable instrument for the region?
    Morales-Torres, Jorge
    Clark, Patricia
    Deleze-Hinojosa, Margarita
    Cons-Molina, Fidencio
    Daniel Messina, Osvaldo
    Hernandez, Jaime
    Jose Jaller-Raad, Juan
    Quevedo-Solidoro, Hector
    Radominski, Sebastiao Cezar
    CLINICAL RHEUMATOLOGY, 2010, 29 (10) : 1085 - 1091
  • [35] Construction and validation of a simplified fracture risk assessment tool for Canadian women and men: results from the CaMos and Manitoba cohorts
    Leslie, W. D.
    Berger, C.
    Langsetmo, L.
    Lix, L. M.
    Adachi, J. D.
    Hanley, D. A.
    Ioannidis, G.
    Josse, R. G.
    Kovacs, C. S.
    Towheed, T.
    Kaiser, S.
    Olszynski, W. P.
    Prior, J. C.
    Jamal, S.
    Kreiger, N.
    Goltzman, D.
    OSTEOPOROSIS INTERNATIONAL, 2011, 22 (06) : 1873 - 1883
  • [36] Inflammatory Bowel Disease and the Risk of Fracture After Controlling for FRAX
    Targownik, Laura E.
    Bernstein, Charles N.
    Nugent, Zoann
    Johansson, Helena
    Oden, Anders
    McCloskey, Eugene
    Kanis, John A.
    Leslie, William D.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2013, 28 (05) : 1007 - 1013
  • [37] Predicting fracture risk for elderly osteoporosis patients by hybrid machine learning model
    Liu, Menghan
    Wei, Xin
    Xing, Xiaodong
    Cheng, Yunlong
    Ma, Zicheng
    Ren, Jiwu
    Gao, Xiaofeng
    Xu, Ajing
    DIGITAL HEALTH, 2024, 10
  • [38] Systematic review of major osteoporotic fracture to hip fracture incidence rate ratios worldwide: implications for Fracture Risk Assessment Tool (FRAX)-derived estimates
    Chakhtoura, Marlene
    Dagher, Hiba
    Sharara, Sima
    Ajjour, Sara
    Chamoun, Nariman
    Cauley, Jane
    Mahfoud, Ziyad
    Boudreau, Robert
    El Hajj Fuleihan, Ghada
    JOURNAL OF BONE AND MINERAL RESEARCH, 2021, 36 (10) : 1942 - 1956
  • [39] Fracture Toughness: Bridging the Gap Between Hip Fracture and Fracture Risk Assessment
    Dapaah, Daniel
    Martel, Daniel R.
    Iranmanesh, Faezeh
    Seelemann, Corin
    Laing, Andrew C.
    Willett, Thomas
    CURRENT OSTEOPOROSIS REPORTS, 2023, 21 (03) : 253 - 265
  • [40] Utilize polygenic risk score to enhance fracture risk estimation and improve the performance of FRAX in patients with osteoporosis
    Chen, Jian-Jiun
    Chen, I-Chieh
    Wei, Chia-Yi
    Lin, Shih-Yi
    Chen, Yi-Ming
    ARCHIVES OF OSTEOPOROSIS, 2023, 18 (01)