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PubMed Publications| Keyword search (4,163 papers available) |  |
"machine learning" Keyword-tagged Publications:
| Title: | Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry | ||||
| Authors: | Abraha HN, Gebre AK, Sim M, Smith C, Gilani SZ, Ilyas Z, Zarzour F, Schousboe JT, Lix LM, Binkley N, Reid S, Monchka BA, Kimelman D, Lewis JR, Leslie WD | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/41903786/ | ||||
| DOI: | 10.1016/j.bone.2026.117865 | ||||
| Publication: | Bone | ||||
| Keywords: | Body composition; Cardiovascular events; Dual-energy x-ray absorptiometry; Machine learning; Metabolic health; Obesity; Vascular calcification; | ||||
| PMID: | 41903786 | Category: | Date Added: | 2026-03-29 | |
| Dept Affiliation: |
ENCS
1 Nutrition & Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Perth, Australia; College of Health Sciences, Mekelle University, Mekelle, Ethiopia. 2 Nutrition & Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Perth, Australia. Electronic address: a.gebre@ecu.edu.au. 3 Nutrition & Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Perth, Australia; Medical School, University of Western Australia, Perth, Australia. 4 Nutrition & Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Perth, Australia; School of Science, Edith Cowan University, Perth, Australia; Department of Computer Science and Software Engineering, University of Western Australia, Perth, Australia. 5 Nutrition & Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Perth, Australia; School of Science, Edith Cowan University, Perth, Australia. 6 Department of Internal Medicine and Radiology, University of Manitoba, Winnipeg, Canada. 7 HealthPartners, Park Nicollet Clinic and HealthPartners Institute, Minneapolis, USA; Division of Health Policy and Management, University of Minnesota, Minneapolis, USA. 8 Department of Medicine, University of Wisconsin, Madison, USA. 9 Department of Computer Science, Concordia University, Montreal, Canada. 10 George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Canada. |
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Description: |
Background: Sagittal abdominal diameter (SAD), a measure of visceral adiposity, has been linked to major adverse cardiovascular events (MACE). However, the relationship between SAD and abdominal aortic calcification (AAC), a marker of subclinical vascular disease, and whether they independently and jointly predict MACE remains unclear. Objective: To investigate whether weight-normalized SAD and AAC scored using a validated machine learning algorithm (ML-AAC24) are independently and jointly associated with incident MACE. Methods: SAD and ML-AAC24 were measured from dual-energy X-ray absorptiometry (DXA) posteroanterior and lateral spine images, respectively, from the Manitoba Bone Density registry. Results: Among 8806 individuals (mean age 75.1 ± 6.6 years, 93.9% women), 11.3% experienced MACE during a mean follow-up of 3.8 years. SAD/weight and ML-AAC24 were positively correlated (Spearman r = 0.11, P < 0.001). Individuals with moderate and high ML-AAC24 had 1.1% and 3.0% higher mean SAD/weight, respectively, than those with low ML-AAC24. Both ML-AAC24 and SAD/weight were independently associated with higher risk of MACE. Adjusted hazard ratios [HRs] for MACE were 1.45, 95%CI 1.24-1.71 and 1.99, 95%CI 1.67-2.35 for moderate and high ML-AAC24, respectively, vs. low. The HR for the highest vs. lowest tertile of SAD/weight was 1.37, 95%CI 1.16-1.61. Individuals who had both high ML-AAC24 and were in the highest SAD/weight tertile had the highest MACE risk (HR 2.63, 95% CI 2.02-3.44). Conclusion: Higher baseline SAD/weight was associated with higher ML-AAC24 scores. Both measures independently and jointly associated with MACE. Their combined use may potentially help identify individuals at high risk for cardiovascular disease during routine bone density testing. |
