Associations between bone material strength index and FRAX scores.

IF 2.4 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Pamela Rufus-Membere, Kara B Anderson, Kara L Holloway-Kew, Mark A Kotowicz, Adolfo Diez-Perez, Julie A Pasco
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引用次数: 0

Abstract

Introduction: Impact microindentation (IMI) measures bone material strength index (BMSi) in vivo. However, its ability to predict fractures is still uncertain. This study aimed to determine the association between BMSi and 10 year fracture probability, as calculated by the FRAX algorithm.

Materials and methods: BMSi was measured using the OsteoProbe in 388 men (ages 40-90 yr) from the Geelong Osteoporosis Study. The probabilities for a major osteoporotic fracture (MOF) and hip fracture (HF) were calculated using the Australian FRAX tool. Hip (HF) and major osteoporotic (MOF) fracture probabilities were computed with and without the inclusion of femoral neck bone mineral density (BMD). For each participant, four 10 year probability scores were therefore generated: (i) HF-FRAXnoBMD; (ii) HF-FRAXBMD; (iii) MOF-FRAXnoBMD; (iv) MOF-FRAXBMD.

Results: BMSi was negatively correlated with age (r = - 0.114, p = 0.025), no associations were detected between BMSi and femoral neck BMD (r = + 0.035, p = 0.507). BMSi was negatively correlated with HF-FRAXnoBMD (r = - 0.135, p = 0.008) and MOF-FRAXnoBMD (r = - 0.153, p = 0.003). These trends held true for HF-FRAXBMD (r = - 0.087, p = 0.094) and MOF-FRAXBMD (r = - 0.111, p = 0.034), but only the latter reached significance.

Conclusion: BMSi captures the cumulative effect of clinical risk factors in the FRAX algorithm, suggesting that it could provide additional information that may be useful in predicting risk of fractures. Further studies are warranted to establish its efficacy in predicting fracture risk.

骨材料强度指数与FRAX评分之间的关系。
介绍:冲击微压痕(IMI)测量体内骨材料强度指数(BMSi)。然而,它预测裂缝的能力仍然不确定。本研究旨在确定BMSi与FRAX算法计算的10年骨折概率之间的关系。材料和方法:使用骨探针测量来自Geelong骨质疏松症研究的388名男性(年龄40-90岁)的BMSi。使用澳大利亚FRAX工具计算主要骨质疏松性骨折(MOF)和髋部骨折(HF)的概率。计算髋骨(HF)和主要骨质疏松性(MOF)骨折的概率,包括和不包括股骨颈骨密度(BMD)。因此,对每个参与者生成4个10年概率评分:(i) HF-FRAXnoBMD;(2) HF-FRAXBMD;(3) MOF-FRAXnoBMD;(四)MOF-FRAXBMD。结果:BMSi与年龄呈负相关(r = - 0.114, p = 0.025), BMSi与股骨颈骨密度无相关性(r = + 0.035, p = 0.507)。BMSi与HF-FRAXnoBMD (r = - 0.135, p = 0.008)、MOF-FRAXnoBMD (r = - 0.153, p = 0.003)呈负相关。这些趋势适用于HF-FRAXBMD (r = - 0.087, p = 0.094)和MOF-FRAXBMD (r = - 0.111, p = 0.034),但只有后者达到显著性。结论:在FRAX算法中,BMSi捕获了临床危险因素的累积效应,表明它可以提供额外的信息,可能有助于预测骨折风险。需要进一步的研究来证实其在预测骨折风险方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Bone and Mineral Metabolism
Journal of Bone and Mineral Metabolism 医学-内分泌学与代谢
CiteScore
6.30
自引率
3.00%
发文量
89
审稿时长
6-12 weeks
期刊介绍: The Journal of Bone and Mineral Metabolism (JBMM) provides an international forum for researchers and clinicians to present and discuss topics relevant to bone, teeth, and mineral metabolism, as well as joint and musculoskeletal disorders. The journal welcomes the submission of manuscripts from any country. Membership in the society is not a prerequisite for submission. Acceptance is based on the originality, significance, and validity of the material presented. The journal is aimed at researchers and clinicians dedicated to improvements in research, development, and patient-care in the fields of bone and mineral metabolism.
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