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基于 BMD 和临床危险因素预测绝经早期妇女骨折风险:WHO FRAX 工具的敏感性。

Fracture risk prediction using BMD and clinical risk factors in early postmenopausal women: sensitivity of the WHO FRAX tool.

机构信息

Menopause Center, Hôpital Paule de Viguier, Toulouse, France.

出版信息

J Bone Miner Res. 2010 May;25(5):1002-9. doi: 10.1002/jbmr.12.

Abstract

The aim of this prospective study was (1) to identify significant and independent clinical risk factors (CRFs) for major osteoporotic (OP) fracture among peri- and early postmenopausal women, (2) to assess, in this population, the discriminatory capacity of FRAX and bone mineral density (BMD) for the identification of women at high risk of fracture, and (3) to assess whether adding risk factors to either FRAX or BMD would improve discriminatory capacity. The study population included 2651 peri- and early postmenopausal women [mean age (+/- SD): 54 +/- 4 years] with a mean follow-up period of 13.4 years (+/-1.4 years). At baseline, a large set of CRFs was recorded, and vertebral BMD was measured (Lunar, DPX) in all women. Femoral neck BMD also was measured in 1399 women in addition to spine BMD. Women with current or past OP treatment for more than 3 months at baseline (n = 454) were excluded from the analyses. Over the follow-up period, 415 women sustained a first low-energy fracture, including 145 major OP fractures (108 wrist, 44 spine, 20 proximal humerus, and 13 hip). In Cox multivariate regression models, only 3 CRFs were significant predictors of a major OP fracture independent of BMD and age: a personal history of fracture, three or more pregnancies, and current postmenopausal hormone therapy. In the subsample of women who had a hip BMD measurement and who were not receiving OP therapy (including hormone-replacement therapy) at baseline, mean FRAX value was 3.8% (+/-2.4%). The overall discriminative value for fracture, as measured by the area under the Receiver Operating Characteristic (ROC) curve (AUC), was equal to 0.63 [95% confidence interval (CI) 0.56-0.69] and 0.66 (95% CI 0.60-0.73), respectively, for FRAX and hip BMD. Sensitivity of both tools was low (ie, around 50% for 30% of the women classified as the highest risk). Adding parity to the predictive model including FRAX or using a simple risk score based on the best predictive model in our population did not significantly improve the discriminatory capacity over BMD alone. Only a limited number of clinical risk factors were found associated with the risk of major OP fracture in peri- and early postmenopausal women. In this population, the FRAX tool, like other risk scores combining CRFs to either BMD or FRAX, had a poor sensitivity for fracture prediction and did not significantly improve the discriminatory value of hip BMD alone.

摘要

本前瞻性研究的目的是

(1) 确定围绝经和绝经早期女性发生主要骨质疏松性(OP)骨折的显著且独立的临床危险因素(CRFs);(2) 评估在该人群中,FRAX 和骨密度(BMD)对骨折高风险女性的鉴别能力;(3) 评估在 FRAX 或 BMD 中添加危险因素是否会提高鉴别能力。研究人群包括 2651 名围绝经和绝经早期女性[平均年龄(+/-SD):54 +/- 4 岁],平均随访时间为 13.4 年(+/-1.4 年)。在基线时,记录了大量的 CRFs,并对所有女性进行了椎体 BMD 测量(Lunar,DPX)。在 1399 名女性中,除了脊柱 BMD 外,还测量了股骨颈 BMD。在基线时接受超过 3 个月的当前或既往 OP 治疗的女性(n = 454)被排除在分析之外。在随访期间,415 名女性发生了首次低能量骨折,包括 145 名主要 OP 骨折(108 名腕部,44 名脊柱,20 名近端肱骨和 13 名髋部)。在 Cox 多变量回归模型中,只有 3 个 CRFs 是独立于 BMD 和年龄的主要 OP 骨折的显著预测因素:个人骨折史、生育次数≥3 次和当前绝经后激素治疗。在基线时接受髋部 BMD 测量且未接受 OP 治疗(包括激素替代治疗)的女性亚组中,平均 FRAX 值为 3.8%(+/-2.4%)。骨折的总体判别值,通过接收者操作特征(ROC)曲线下面积(AUC)测量,分别等于 0.63(95%置信区间[CI] 0.56-0.69)和 0.66(95%CI 0.60-0.73),对于 FRAX 和髋部 BMD。两种工具的灵敏度均较低(即,对于被分类为最高风险的 30%的女性,灵敏度约为 50%)。在包含 FRAX 的预测模型中添加生育情况或使用基于人群中最佳预测模型的简单风险评分并不能显著提高单独使用 BMD 的判别能力。在围绝经和绝经早期女性中,仅发现有限数量的临床危险因素与主要 OP 骨折的风险相关。在该人群中,FRAX 工具与其他结合 CRFs 至 BMD 或 FRAX 的风险评分一样,对骨折预测的敏感性较差,并且不能显著提高单独使用髋部 BMD 的判别价值。

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本文引用的文献

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Prognosis of fracture: evaluation of predictive accuracy of the FRAX algorithm and Garvan nomogram.
Osteoporos Int. 2010 May;21(5):863-71. doi: 10.1007/s00198-009-1026-7. Epub 2009 Jul 25.
4
Case finding for the management of osteoporosis with FRAX--assessment and intervention thresholds for the UK.
Osteoporos Int. 2008 Oct;19(10):1395-408. doi: 10.1007/s00198-008-0712-1. Epub 2008 Aug 28.
5
Bone mineral density at menopause does not predict breast cancer incidence.
Osteoporos Int. 2008 Oct;19(10):1497-504. doi: 10.1007/s00198-008-0596-0. Epub 2008 Mar 29.
6
FRAX and the assessment of fracture probability in men and women from the UK.
Osteoporos Int. 2008 Apr;19(4):385-97. doi: 10.1007/s00198-007-0543-5. Epub 2008 Feb 22.
7
An approach for identifying postmenopausal women age 50-64 years at increased short-term risk for osteoporotic fracture.
Osteoporos Int. 2007 Sep;18(9):1287-96. doi: 10.1007/s00198-007-0380-6. Epub 2007 Apr 27.
8
9
A family history of fracture and fracture risk: a meta-analysis.
Bone. 2004 Nov;35(5):1029-37. doi: 10.1016/j.bone.2004.06.017.
10
A meta-analysis of previous fracture and subsequent fracture risk.
Bone. 2004 Aug;35(2):375-82. doi: 10.1016/j.bone.2004.03.024.

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