老年骨质疏松患者原发性骨折的危险因素评价

Xiao Li, Jun Wu, Xiang Li, K. L. Leung, T. Wong, X. Fang
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摘要

骨质疏松症是50岁以上人群发生骨折的主要原因之一。预防第一次脆性骨折是解决骨质疏松症最具成本效益的策略。因此,识别骨质疏松性骨折的高危人群对于节省有限的医疗资源非常重要。压裂风险评估工具(FRAX)已在全球范围内用于评估压裂风险。然而,由于民族之间的种族和社会经济地位的差异,FRAX的准确性仍然需要提高。方法:在本研究中,我们评估了FRAX在中国人中的有效性。FRAX未涉及的因素也被评估与骨质疏松性骨折风险的相关性。结果:年龄、吸烟情况、饮酒情况、骨质疏松性骨折家族史、II型糖尿病、Charlson指数、维生素D摄入量、钙摄入量、肌肉力量、改良Barthel指数、EuroQol三水平五维度问卷、骨密度在骨折组与对照组之间存在显著差异。我们的研究结果还表明,双能x线吸收仪(DEXA)诊断的骨质疏松症(T≤- 2.5)是独立的骨折危险因素。年龄、肌力和Charlson指数对DEXA的影响有统计学意义。60岁以上老年人,肌力测试仰卧抬腿次数小于20次/分钟,aCCI评分大于等于2,DEXA T值较低(T≤- 2.5)。讨论:这项工作是一项单中心研究,显示了社会经济地位的偏见,并且具有有限数量的病例。因此,未来有必要开展多中心研究。结论:本研究表明FRAX应进一步改善其他危险因素,包括aCCI、钙摄入量和肌肉力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Risk Factors for Primary Fracture in Elderly Patients with Osteoporosis
Introduction: Osteoporosis is one of the major fundamental causes of fractures in individuals over 50 years old. Preventing the first fragility fracture is the most cost-effective strategy for addressing osteoporosis. Therefore, identifying individuals with a high risk of developing osteoporotic fractures is important to save limited medical resources. The Fracture Risk Assessment Tool (FRAX) has been used globally for assessing fracture risk. However, the accuracy of FRAX still needs to be improved partially because of the differences in race and socioeconomic status among nationalities. Methods: In this study, we evaluated the effectiveness of FRAX in Chinese people. The factors not involved in FRAX were also evaluated for a correlation with osteoporotic fracture risks. Results: Age, smoking status, alcohol intake, family history of osteoporotic fracture, diabetes mellitus type II, Charlson Index, vitamin D intake, calcium intake, muscle strength, modified Barthel Index, the 3-level version of EuroQol five dimensions questionnaire, and bone mineral density demonstrated significant differences between the fracture and control groups. Our results also demonstrated that dual-energy X-ray absorptiometry (DEXA)-diagnosed osteoporosis (T ≤ −2.5) was the independent fracture risk factor. The effects of age, muscle strength, and Charlson Index on DEXA were found to be statistically significant. People old over 60, muscle strength test supine leg lift less than 20 times per minute, aCCI scores greater than or equal to 2, had lower DEXA T values (T ≤ −2.5). Discussion: This work was a single-center study, showed social economic status bias, and featured a limited number of cases. Therefore, multi-center studies are necessary in the future. Conclusions: This study revealed that FRAX should be improved further in combination with other risk factors, including aCCI, calcium intake, and muscle strength.
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