Inserm U1059, Department of Rheumatology, University Hospital of Saint-Etienne, 42055 Saint-Etienne cedex 2, France.
Joint Bone Spine. 2012 Jan;79(1):26-31. doi: 10.1016/j.jbspin.2011.05.004. Epub 2011 Jul 1.
The aim was to review the literature dealing with the use of biochemical bone turnover markers (BTM) as predictors of bone loss and individual risk of fracture in postmenopausal osteoporosis.
We performed a generalized search in MEDLINE using Mesh Database from 1995 through 2009 with the following terms "biological markers" with "osteoporosis" or "bone resorption", or "bone fracture", "fracture risk". From this research, 197 abstracts were read, 91 articles were screened then 43 original articles were selected.
In most of the selected articles, the upper limit of the premenopausal range was used as a cut-off definition for increased bone resorption. Based on this review, we found a moderate and positive relationship between baseline level of BTM and rate of bone loss, more particularly for high level of BTM over 2 SD, especially when high turnover is constant in repeated sampling. In addition, an increase in BTM levels is associated with an increase in the risk of hip and non-vertebral fractures in elderly women over 75 years old. This is especially demonstrated with bone resorption markers (e.g. uCTX) in the highest quartile with an 1.7 to 2.2 fold increase. The combination of data from bone mineral density (BMD) and bone resorption markers may improve fracture prediction.
The measurement of BTM, together with the assessment of other risk factors including low BMD, will improve the prediction of risk fracture, but there is a lack of practical guidelines.
综述有关生化骨转换标志物(BTM)在预测绝经后骨质疏松症骨丢失和个体骨折风险中的应用的文献。
我们使用 MEDLINE 中的 Mesh 数据库,从 1995 年至 2009 年进行了广义搜索,使用了以下术语:“生物标志物”与“骨质疏松症”或“骨吸收”、“骨骨折”、“骨折风险”。从这项研究中,我们阅读了 197 篇摘要,筛选了 91 篇文章,然后选择了 43 篇原始文章。
在大多数选定的文章中,使用绝经前范围的上限作为骨吸收增加的截断定义。基于这项综述,我们发现 BTM 的基线水平与骨丢失率之间存在中度且呈正相关,尤其是在高 BTM 水平超过 2 个标准差且在重复采样中高转换率保持不变时。此外,BTM 水平的升高与 75 岁以上老年女性髋部和非椎体骨折风险的增加有关。在骨吸收标志物(如 uCTX)最高四分位时,这一点表现得尤为明显,风险增加 1.7 至 2.2 倍。骨密度(BMD)和骨吸收标志物数据的组合可能会提高骨折预测的准确性。
BTM 的测量,以及对包括低 BMD 在内的其他风险因素的评估,将提高骨折风险的预测能力,但缺乏实用的指南。