首页> 外文期刊>Journal of clinical densitometry >Prospective identification of postmenopausal osteoporotic women at high vertebral fracture risk by radiography, bone densitometry, quantitative ultrasound, and laboratory findings: results from the PIOS study.
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Prospective identification of postmenopausal osteoporotic women at high vertebral fracture risk by radiography, bone densitometry, quantitative ultrasound, and laboratory findings: results from the PIOS study.

机译:通过放射成像,骨密度测定法,定量超声检查和实验室检查结果,对绝经后骨质疏松症女性高椎体骨折的风险进行前瞻性鉴定:PIOS研究的结果。

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Women with established osteoporosis are at high risk to sustain additional vertebral fractures. Treatment may affect the predictive power of bone densitometry and biochemical techniques. There are few prospective studies comparing fracture prediction by dual-energy X-ray absorptiometry (DXA) and other techniques in treated women with established osteoporosis. The objective of this study was to prospectively assess the predictive power of various DXA and quantitative ultrasound (QUS) techniques for identification of women at high risk to develop new fractures over 1-2 yr. Moreover, we wanted to investigate whether previous or ongoing therapy precluded the use of common clinical laboratory blood tests and bone turnover markers for prediction of fracture risk. We measured prevalent fracture status; bone mineral density (BMD) of the whole body, spine, and hip by DXA; QUS of the calcaneus and the patella; hormones and various markers of bone resorption and formation; and took standard blood tests in 124 women (age 64.9 yr +/- 7.9) with manifest and variously treated postmenopausal osteoporosis. Subsequently, new spine fractures were assessed after 1 yr and, in a subset of 87 women, after 2 yr. Prevalent fractures turned out to be the strongest predictor of subsequent vertebral fractures with an age-adjusted odds ratio (OR) of 3.9 per prevalent fracture over 2 yr. Furthermore, our results underline the predictive power of spinal BMD (sOR = 2.1; standardized OR per 1 standard deviation population variance decrease), whole body BMD (sOR: 2.4), and QUS stiffness index of the calcaneus (sOR: 2.8) for vertebral fracture prediction. QUS of the patella did not predict vertebral fractures. Blood sedimentation rate was predictive in the first year (sOR: 1.9). The predictive power of bone turnover markers, however, appeared to be too low to be detectable in a group of this sample size and it may have been reduced because most women were already receiving treatment. In conclusion, radiographic measures, but not the tested laboratory bone turnover markers, enabled us to identify women (from a population of osteoporotic women who have been treated for some time with a variety of medications) who are at highest risk for developing new vertebral fractures within 1-2 yr.
机译:患有骨质疏松症的妇女极有可能继续发生椎骨骨折。治疗可能会影响骨密度测定法和生化技术的预测能力。很少有前瞻性研究比较双能X线骨密度仪(DXA)和其他技术对已确诊骨质疏松症的女性的骨折预测。这项研究的目的是前瞻性评估各种DXA和定量超声(QUS)技术的预测能力,这些技术可识别出1-2年内发生新骨折的高风险女性。此外,我们想调查以前或正在进行的治疗是否排除了使用常见的临床实验室血液测试和骨转换标记来预测骨折风险的可能性。我们测量了普遍的骨折状态; DXA分析全身,脊柱和臀部的骨矿物质密度(BMD);跟骨和the骨的QUS;激素和骨吸收和形成的各种标志物;并对124名患有明显绝经后骨质疏松症且经不同治疗的妇女(64.9岁+/- 7.9岁)进行了标准血液检查。随后,在1年后评估了新的脊柱骨折,在87年的女性中,评估了2年后的新脊柱骨折。事实证明,流行骨折是随后椎骨骨折的最强预测指标,在2年中,年龄调整后的优势比(OR)为每个流行骨折3.9。此外,我们的结果强调了脊柱骨密度的预测能力(sOR = 2.1;每1个标准差群体方差减少的标准化OR),全身骨密度(sOR:2.4)和跟骨QUS刚度指数(sOR:2.8)裂缝预测。 US骨的QUS不能预测椎骨骨折。第一年的血沉率可预测(SOR:1.9)。但是,骨转换标志物的预测能力似乎太低,无法在该样本量的一组中被检测到,并且由于大多数女性已经在接受治疗,因此可能已被降低。总而言之,放射学测量而非经过测试的实验室骨转换标记使我们能够识别出发生新椎体骨折风险最高的女性(从经过各种药物治疗一段时间的骨质疏松女性人群中) 1-2年内

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