Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

IF 5.9 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Abadi K Gebre, Marc Sim, Syed Zulqarnain Gilani, Afsah Saleem, Cassandra Smith, Didier Hans, Siobhan Reid, Barret A Monchka, Douglas Kimelman, Mohammad Jafari Jozani, John T Schousboe, Joshua R Lewis, William D Leslie
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引用次数: 0

Abstract

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low bone mineral density (BMD) and fracture. However, it remains unclear whether AAC is associated with trabecular bone score (TBS), a gray-level textural measure, or whether it predicts fracture risk independent of this measure. Here, we examined the cross-sectional association of AAC scored using a validated machine learning algorithm (ML-AAC24) with TBS, and their simultaneous associations with incident fractures in 7,691 individuals (93.4% women) through the Manitoba BMD Registry (mean age 75.3 years). The association between ML-AAC24 and TBS was tested using generalised linear regression. Cox proportional hazards models tested the simultaneous relationships of ML-AAC24 and TBS with incident fractures. At baseline, 41.3% of the study cohort had low (<2), 32.4% had moderate (2 to <6) and 26.3% had high (≥6) ML-AAC24. Compared to low ML-AAC24, high ML-AAC24 was associated with a 0.81% lower TBS in the multivariable-adjusted model. Independent of each other and multiple established fracture risk factors, ML-AAC24 and TBS were each associated with an increased risk of incident fractures. Specifically, high ML-AAC24 (HR 1.41 95%CI 1.15-1.73, compared to low ML-AAC24) and lower TBS (HR 1.13 95%CI 1.05-1.22, per SD decrease) were associated with increased relative hazards for any incident fracture. High ML-AAC24 and lower TBS were also associated with incident major osteoporotic fracture (HR 1.48 95%CI 1.18-1.87 and HR 1.15 95%CI 1.06-1.25, respectively) and hip fracture (HR 1.56 95%CI 1.05-2.31 and HR 1.25 95%CI 1.08-1.44, respectively). In conclusion, high ML-AAC24 is associated with lower TBS in older adults attending routine osteoporosis screening. Both measures were associated with incident fractures. The findings of this study highlight high ML-AAC24, seen in more than 1 in 4 of the study cohort, and lower TBS provide complementary prognostic information for fracture risk.

在常规骨质疏松筛查中,自动腹主动脉钙化和骨小梁评分可独立预测骨折事件。
腹主动脉钙化(AAC)是亚临床心血管疾病的标志,先前已被证明与低骨密度(BMD)和骨折有关。然而,尚不清楚AAC是否与小梁骨评分(TBS)相关,TBS是一种灰度结构测量,或者AAC是否独立于TBS预测骨折风险。在这里,我们通过曼尼托巴骨密度登记处(平均年龄75.3岁)对7691人(93.4%女性)进行了研究,使用经过验证的机器学习算法(ML-AAC24)对AAC评分与TBS的横断面相关性进行了研究,并同时研究了AAC与意外骨折的相关性。ML-AAC24与TBS之间的关系采用广义线性回归进行检验。Cox比例风险模型检验了ML-AAC24和TBS与骨折事件的同时关系。在基线时,41.3%的研究队列低(
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来源期刊
Journal of Bone and Mineral Research
Journal of Bone and Mineral Research 医学-内分泌学与代谢
CiteScore
11.30
自引率
6.50%
发文量
257
审稿时长
2 months
期刊介绍: The Journal of Bone and Mineral Research (JBMR) publishes highly impactful original manuscripts, reviews, and special articles on basic, translational and clinical investigations relevant to the musculoskeletal system and mineral metabolism. Specifically, the journal is interested in original research on the biology and physiology of skeletal tissues, interdisciplinary research spanning the musculoskeletal and other systems, including but not limited to immunology, hematology, energy metabolism, cancer biology, and neurology, and systems biology topics using large scale “-omics” approaches. The journal welcomes clinical research on the pathophysiology, treatment and prevention of osteoporosis and fractures, as well as sarcopenia, disorders of bone and mineral metabolism, and rare or genetically determined bone diseases.
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