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
  • [1] Contribution of Lumbar Spine BMD to Fracture Risk in Individuals With T-Score Discordance
    Alarkawi, Dunia
    Bliuc, Dana
    Nguyen, Tuan V.
    Eisman, John A.
    Center, Jacqueline R.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2016, 31 (02) : 274 - 280
  • [2] FRAX underestimates fracture risk in patients with diabetes
    Giangregorio, Lora M.
    Leslie, William D.
    Lix, Lisa M.
    Johansson, Helena
    Oden, Anders
    McCloskey, Eugene
    Kanis, John A.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2012, 27 (02) : 301 - 308
  • [3] Absolute Fracture Risk Assessment Using Lumbar Spine and Femoral Neck Bone Density Measurements: Derivation and Validation of a Hybrid System
    Leslie, William D.
    Lix, Lisa M.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2011, 26 (03) : 460 - 467
  • [4] Genetic Prediction of Lifetime Risk of Fracture
    Ho-Le, Thao P.
    Tran, Thach S.
    Nguyen, Huy G.
    Center, Jacqueline R.
    Eisman, John A.
    Nguyen, Tuan, V
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2023, 108 (11) : E1403 - E1412
  • [5] Spine-Hip T-Score Difference Predicts Major Osteoporotic Fracture Risk Independent of FRAX®: A Population-Based Report From CAMOS
    Leslie, William D.
    Kovacs, Christopher S.
    Olszynski, Wojciech P.
    Towheed, Tanveer
    Kaiser, Stephanie M.
    Prior, Jerilynn C.
    Josse, Robert G.
    Jamal, Sophie A.
    Kreiger, Nancy
    Goltzman, David
    JOURNAL OF CLINICAL DENSITOMETRY, 2011, 14 (03) : 286 - 293
  • [6] FRAX Predicts Fracture Risk in Kidney Transplant Recipients
    Naylor, Kyla L.
    Leslie, William D.
    Hodsman, Anthony B.
    Rush, David N.
    Garg, Amit X.
    TRANSPLANTATION, 2014, 97 (09) : 940 - 945
  • [7] Assessment of Fracture Risk
    Baim, Sanford
    Leslie, William D.
    CURRENT OSTEOPOROSIS REPORTS, 2012, 10 (01) : 28 - 41
  • [8] Limited Clinical Utility of a Genetic Risk Score for the Prediction of Fracture Risk in Elderly Subjects
    Eriksson, Joel
    Evans, Daniel S.
    Nielson, Carrie M.
    Shen, Jian
    Srikanth, Priya
    Hochberg, Marc
    McWeeney, Shannon
    Cawthon, Peggy M.
    Wilmot, Beth
    Zmuda, Joseph
    Tranah, Greg
    Mirel, Daniel B.
    Challa, Sashi
    Mooney, Michael
    Crenshaw, Andrew
    Karlsson, Magnus
    Mellstrom, Dan
    Vandenput, Liesbeth
    Orwoll, Eric
    Ohlsson, Claes
    JOURNAL OF BONE AND MINERAL RESEARCH, 2015, 30 (01) : 184 - 194
  • [9] High prevalence of spine-femur bone mineral density discordance and comparison of vertebral fracture risk assessment using femoral neck and lumbar spine bone density in Korean patients
    Seok, Hannah
    Kim, Kwang Joon
    Kim, Kyoung Min
    Rhee, Yumie
    Cha, Bong Soo
    Lim, Sung-Kil
    JOURNAL OF BONE AND MINERAL METABOLISM, 2014, 32 (04) : 405 - 410
  • [10] Bone mineral density enhances use of clinical risk factors in predicting ten-year risk of osteoporotic fractures in Chinese men: the Hong Kong Osteoporosis Study
    Bow, C. H.
    Tsang, S. W. Y.
    Loong, C. H. N.
    Soong, C. S. S.
    Yeung, S. C.
    Kung, A. W. C.
    OSTEOPOROSIS INTERNATIONAL, 2011, 22 (11) : 2799 - 2807