Johansson H, Kanis J A, Odén A, Leslie W D, Fujiwara S, Glüer C C, Kroger H, LaCroix A Z, Lau E, Melton L J, Eisman J A, O'Neill T W, Goltzman D, Reid D M, McCloskey E
WHO Collaborating Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
Calcif Tissue Int. 2014 Nov;95(5):428-35. doi: 10.1007/s00223-014-9911-2. Epub 2014 Sep 4.
There are occasional marked discordances in BMD T-scores at the lumbar spine (LS) and femoral neck (FN). We investigated whether such discordances could contribute independently to fracture prediction using FRAX. We studied 21,158 women, average age 63 years, from 10 prospective cohorts with baseline FRAX variables as well as FN and LS BMD. Incident fractures were collected by self-report and/or radiographic reports. Extended Poisson regression examined the relationship between differences in LS and FN T-scores (ΔLS-FN) and fracture risk, adjusted for age, time since baseline and other factors including FRAX 10-year probability for major osteoporotic fracture calculated using FN BMD. To examine the effect of an adjustment for ΔLS-FN on reclassification, women were separated into risk categories by their FRAX major fracture probability. High risk was classified using two approaches: being above the National Osteoporosis Guideline Group intervention threshold or, separately, being in the highest third of each cohort. The absolute ΔLS-FN was greater than 2 SD for 2.5% of women and between 1 and 2 SD for 21%. ΔLS-FN was associated with a significant risk of fracture adjusted for baseline FRAX (HR per SD change = 1.09; 95% CI = 1.04-1.15). In reclassification analyses, only 2.3-3.2% of the women moved to a higher or lower risk category when using FRAX with ΔLS-FN compared with FN-derived FRAX alone. Adjustment of estimated fracture risk for a large LS/FN discrepancy (>2SD) impacts to a large extent on only a relatively small number of individuals. More moderate (1-2SD) discordances in FN and LS T-scores have a small impact on FRAX probabilities. This might still improve clinical decision-making, particularly in women with probabilities close to an intervention threshold.
腰椎(LS)和股骨颈(FN)的骨密度T值偶尔会出现明显不一致。我们研究了这种不一致是否能独立地通过FRAX对骨折预测产生影响。我们对来自10个前瞻性队列的21158名平均年龄63岁的女性进行了研究,这些女性具有基线FRAX变量以及FN和LS的骨密度。通过自我报告和/或影像学报告收集新发骨折情况。扩展泊松回归分析了LS和FN T值差异(ΔLS-FN)与骨折风险之间的关系,并对年龄、自基线以来的时间以及其他因素进行了调整,包括使用FN骨密度计算的FRAX 10年主要骨质疏松性骨折概率。为了检验对ΔLS-FN进行调整对重新分类的影响,根据FRAX主要骨折概率将女性分为不同风险类别。高风险采用两种方法进行分类:高于国家骨质疏松指南小组的干预阈值,或者分别处于每个队列的最高三分之一。2.5%的女性绝对ΔLS-FN大于2个标准差,21%的女性在1至2个标准差之间。调整基线FRAX后ΔLS-FN与显著的骨折风险相关(每标准差变化的风险比=1.09;95%置信区间=1.04-1.15)。在重新分类分析中,与仅使用基于FN的FRAX相比,使用包含ΔLS-FN的FRAX时,只有2.3%-3.2%的女性转移到更高或更低的风险类别。对大的LS/FN差异(>2个标准差)调整估计的骨折风险,仅对相对少数个体有很大影响。FN和LS T值更中度(1-2个标准差)的不一致对FRAX概率影响较小。这仍可能改善临床决策,特别是对于概率接近干预阈值的女性。