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腰椎骨密度和小梁骨评分校正的 FRAX,但不包括不考虑骨密度的 FRAX,可识别亚临床颈动脉粥样硬化。

Lumbar spine bone mineral density and trabecular bone score-adjusted FRAX, but not FRAX without bone mineral density, identify subclinical carotid atherosclerosis.

机构信息

Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, (SCIAC), "Sapienza" University of Rome, Rome, Italy.

出版信息

J Endocrinol Invest. 2021 Sep;44(9):1989-1995. doi: 10.1007/s40618-021-01517-4. Epub 2021 Feb 12.

Abstract

PURPOSE

Osteoporosis and atherosclerosis share common risk factors. Aim of this study was to test if FRAX (which is an algorithm that can identify subjects at risk of fracture), without or with BMD values, also adjusted for trabecular bone score (TBS) was able to identify subclinical atherosclerosis, evaluated by measurement of carotid intima media thickness (cIMT ≥ 0.9 mm) as compared to DXA values.

METHODS

Ninety postmenopausal women underwent DXA measurement and cIMT evaluation. For each patient, the FRAX algorithm for major osteoporotic fracture (M) and for hip fracture (H) without BMD was computed, together with FRAX with BMD and TBS-adjusted FRAX. Serum levels of osteoprotegerin, sRANKL, and interleukin-6 were also measured.

RESULTS

There were no differences in anthropometric parameters and cardiovascular risk factors between subjects with cIMT ≥ 0.9 mm (35% of subjects, group A) compared to those with cIMT < 0.9 mm (group B). The prevalence of osteoporosis and FRAX BMD, TBS-adjusted FRAX both for M and H were higher in group A compared to group B. The best ROC curves to identify subjects with a cIMT ≥ 0.9 mm were: lumbar spine T-score, with a threshold of - 2.5 SD (area under the curve, AUC 0.64; p = 0.02) with a sensibility of 50% and a specificity of 76%; TBS-adjusted FRAX H with a sensibility of 50% and a specificity of 72% (AUC 0.64; p = 0.01 with a threshold of 3%). Interleukin-6 positively correlated with FRAX BMD H and M.

CONCLUSIONS

FRAX without BMD does not identify subclinical carotid atherosclerosis, while lumbar spine T-score and TBS-adjusted FRAX H similarly detected it with higher specificity for T-score.

摘要

目的

骨质疏松症和动脉粥样硬化有共同的危险因素。本研究旨在测试 FRXA(一种可以识别骨折风险患者的算法)是否可以在不考虑骨密度值的情况下,或在考虑骨小梁评分(TBS)的情况下,识别亚临床动脉粥样硬化,通过测量颈动脉内膜中层厚度(cIMT≥0.9mm)来评估。

方法

90 名绝经后妇女接受了 DXA 测量和 cIMT 评估。为每位患者计算了主要骨质疏松性骨折(M)和髋部骨折(H)的 FRXA 算法,以及不考虑 BMD 的 FRXA、考虑 BMD 的 FRXA 和 TBS 调整后的 FRXA。还测量了血清骨保护素、sRANKL 和白细胞介素-6 水平。

结果

cIMT≥0.9mm(35%的受试者,A 组)与 cIMT<0.9mm(B 组)的受试者在人体测量参数和心血管危险因素方面无差异。A 组的骨质疏松症和 FRXA 骨密度、TBS 调整后的 FRXA 对于 M 和 H 的发生率均高于 B 组。识别 cIMT≥0.9mm 受试者的最佳 ROC 曲线为:腰椎 T 评分,阈值为-2.5 SD(曲线下面积,AUC 为 0.64;p=0.02),敏感性为 50%,特异性为 76%;TBS 调整后的 FRXA H,敏感性为 50%,特异性为 72%(AUC 为 0.64;p=0.01,阈值为 3%)。白细胞介素-6 与 FRXA 骨密度 H 和 M 呈正相关。

结论

不考虑 BMD 的 FRXA 不能识别亚临床颈动脉粥样硬化,而腰椎 T 评分和 TBS 调整后的 FRXA H 以更高的 T 评分特异性检测到它。

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