{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T13:12:14Z","timestamp":1792156334022,"version":"4.4.0"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T00:00:00Z","timestamp":1735862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Royal Perth Hospital Research Foundation Fellowship","award":["RPHRF CAF 00\/21"],"award-info":[{"award-number":["RPHRF CAF 00\/21"]}]},{"name":"National Heart Foundation Future Leader Fellowship","award":["ID: 107323"],"award-info":[{"award-number":["ID: 107323"]}]},{"name":"Heart Foundation Postdoctoral Fellowship","award":["107194"],"award-info":[{"award-number":["107194"]}]},{"name":"Medical Research Future Fund 2022 Cardiovascular Health Mission","award":["MRF2024225"],"award-info":[{"award-number":["MRF2024225"]}]},{"name":"Rady Innovation Fund, Rady Faculty of Health Sciences, University of Manitoba, a National Health and Medical Research Council of Australia Ideas","award":["APP1183570"],"award-info":[{"award-number":["APP1183570"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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\u2009250 individuals (mean age 75.5\u00a0yr, 94% women without CVD) with VFA (February 2010 to March 2017). ML-AAC24 scores were categorized (low &amp;lt;2; moderate 2\u2013&amp;lt;6; high \u22656). Over follow-up (mean 3.9\u00a0yr), 1265 people (12.3%) experienced a MACE. Among those with low, moderate, and high ML-AAC24, MACE rates per 1000 person-years were 18.4 (95% CI 16.4-20.5), 34.1 (95% CI 30.9-37.4), and 55.6 (95% CI 50.8-60.1), respectively. A similar gradient was observed after stratifying by age and sex. Incidence rate ratios (IRRs) for low vs moderate and high groups were 1.9 (95% CI 1.6-2.2) and 3.0 (95% CI 2.6-3.5), respectively. In those most likely to benefit from pharmaceutical intervention (&amp;lt;80\u00a0yr, not on statins), MACE rates among those with low, moderate, and high ML-AAC24 were 13.5 (95% CI 11.5-15.8), 26.0 (95% CI 22.1-30.3) and 44.1 (95% CI 37.0-52.0). Corresponding IRRs for low vs moderate 1.9 (95% CI 1.5-2.4) and high ML-AAC24 was 3.3 (95% CI 2.6-4.1]), respectively. In routine osteoporosis screening, individuals with moderate and high ML-AAC24 had substantially greater MACE rates compared to those with low ML-AAC24. Consequently, AAC detection during osteoporosis screening (especially in women) may guide intensification of preventative cardiovascular strategies.<\/jats:p>","DOI":"10.1093\/jbmr\/zjae208","type":"journal-article","created":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T13:27:37Z","timestamp":1735910857000},"page":"323-331","source":"Crossref","is-referenced-by-count":10,"title":["Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry"],"prefix":"10.1093","volume":"40","author":[{"given":"Cassandra","family":"Smith","sequence":"first","affiliation":[{"name":"Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University , WA 6027 ,","place":["Australia"]},{"name":"Medical School, The University of Western Australia , WA 6009 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of Medical and Health Sciences, Edith Cowan University , WA 6027 ,","place":["Australia"]},{"name":"Centre for AI&ML, School of Science, Edith Cowan University , WA 6027 ,","place":["Australia"]},{"name":"Computer Science and Software Engineering, The University of Western Australia , WA 6009 ,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Suter","sequence":"additional","affiliation":[{"name":"Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University , WA 6027 ,","place":["Australia"]},{"name":"Centre for AI&ML, School of Science, Edith Cowan University , WA 6027 ,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siobhan","family":"Reid","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Concordia University , Montreal, QC, H3G 2W1 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T","family":"Schousboe","sequence":"additional","affiliation":[{"name":"Park Nicollet Clinic and HealthPartners Institute, HealthPartners , Minneapolis, MN 55416 ,","place":["United States"]},{"name":"Division of Health Policy and Management, University of Minnesota , Minneapolis, MN 55455 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua R","family":"Lewis","sequence":"additional","affiliation":[{"name":"Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University , WA 6027 ,","place":["Australia"]},{"name":"Medical School, The University of Western Australia , WA 6009 ,","place":["Australia"]},{"name":"Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney , NSW 2145 ,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William 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