Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry.

ABSTRACT: Vertebral fracture assessment (VFA) images from bone density machines enable the automated machine learning assessment of abdominal aortic calcification (ML-AAC), a marker of cardiovascular disease (CVD) risk. The objective of this study was to describe the risk of a major adverse cardiovascular event (MACE, from linked health records) in patients attending routine bone mineral density (BMD) testing and meeting specific criteria based on age, BMD, height loss, or glucocorticoid use have a VFA in the Manitoba BMD Registry. The cohort included 10 250 individuals (mean age 75.5 yr, 94% women without CVD) with VFA (February 2010 to March 2017). ML-AAC24 scores were categorized (low <2; moderate 2-<6; high ≥6). Over follow-up (mean 3.9 yr), 1265 people (12.3%) experienced a MACE. Among those wi

SUBMITTER: Smith C 

PROVIDER: S-EPMC11909729 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature