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Use of a performance algorithm improves utilization of vertebral fracture assessment in clinical practice

机译:在临床实践中使用性能算法可提高椎骨骨折评估的利用率

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A performance algorithm can be successfully used by bone density technologists at the time of a bone density test to identify patients with an indication for vertebral fracture assessment (VFA). Doing so appropriately increases physician prescription of fracture prevention medication. Introduction: Densitometric spine imaging (vertebral fracture assessment, VFA) can identify prevalent vertebral fracture but is underutilized. We developed an algorithm by which DXA technologists identify patients for whom VFA should be performed. Following this algorithm, VFA was performed in patients whose lowest T-score (lumbar spine, total hip, or femoral neck) was between -1.5 and -2.4 inclusive and with one of the following: age, ≥65 years; height loss, ≥1.5 in.; or current systemic glucocorticoid therapy. Our main objectives were to assess change in VFA utilization at two other healthcare organizations after algorithm implementation, and to estimate the association of VFA results with prescription of fracture prevention medication. Methods: The proportions of patients with an indication for VFA who had one performed before and after algorithm implementation were compared. Logistic regression was used to estimate the multivariable-adjusted association of VFA results with subsequent prescription of fracture prevention medication adjusted for healthcare organization (study site). Results: After algorithm introduction, appropriate VFA use rose significantly Patients with a VFA positive for vertebral fracture had an odds ratio of 3.2 (95 % C.I., 2.1-5.1) for being prescribed new fracture prevention medication, adjusted for age, sex, prior clinical fracture, use of glucocorticoid medication, femoral neck bone mineral density T-score, and study site. Conclusions: An algorithm to identify those for whom VFA is indicated can successfully be implemented by DXA technologists. Documentation of vertebral fracture increases prescription of fracture prevention medication for patients who otherwise lack an apparent indication for such therapy.
机译:骨密度测试技术人员可以在进行骨密度测试时成功使用一种性能算法,以识别具有椎骨骨折评估(VFA)指征的患者。这样做会适当增加医师预防骨折药物的处方。简介:光密度脊柱成像(椎骨骨折评估,VFA)可以识别出普遍存在的椎体骨折,但未得到充分利用。我们开发了一种算法,通过该算法DXA技术人员可以确定应为其进行VFA的患者。按照该算法,对最低T分值(腰椎,全髋关节或股骨颈)在-1.5至-2.4(含)之间且具有以下条件之一的患者进行VFA:年龄,≥65岁;高度损失,≥1.5in .;或目前的全身糖皮质激素治疗。我们的主要目标是评估算法实施后其他两个医疗机构的VFA利用率变化,并估算VFA结果与骨折预防药物处方之间的关联。方法:比较在算法实施前后进行过一项VFA指征的患者比例。 Logistic回归用于估计VFA结果与针对医疗机构(研究地点)调整的骨折预防药物后续处方的多变量调整关联。结果:引入算法后,适当使用VFA显着增加椎体骨折VFA阳性的患者因开具新的骨折预防药物而对年龄,性别,以前的临床情况进行调整的比值比为3.2(95%CI,2.1-5.1)骨折,使用糖皮质激素药物,股骨颈骨矿物质密度T评分和研究部位。结论:DXA技术人员可以成功实现识别VFA的算法。对于没有明显治疗指征的患者,椎骨骨折的文献增加了预防骨折药物的处方。

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