Abstract 4144067: AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium Scans (AI-CAC) vs. ASCVD Pooled Cohorts Equation and PREVENT Risk Scores: The Multi-Ethnic Study of Atherosclerosis

Background: Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston score which is used for coronary artery disease prediction only. We have previously reported AI-enabled cardiac chambers volumetry in CAC scans (AI-CAC) predicts incident atrial fibrillation (AF), heart failure (HF), and stroke in the Multi-Ethnic Study of Atherosclerosis (MESA). Here we compare the distribution of cardiac chambers volumes vs. risk categories of ASCVD pooled cohorts’ equation (PCE) and PREVENT TM risk scores. Methods: We applied the AutoChamber TM component of AI-CAC to 5830 individuals (52.2% women, age 61.7±10.2 years) without known CVD that were previously obtained for CAC scoring at the baseline examination of MESA. We calculated 10-year estimated risk from the PCE and PREVENT Risk Scores based on 4 categories of risk: <5%, 5-7.5%, 7.5-20%, >20% using baseline risk factors. The PREVENT total CVD base model was used in analysis, which excludes urinary albumin to creatinine ratio and social depravity index. We compared the distribution of the quartiles of left atrial (LA) and left ventricle (LV) volumes to categories of both risk scores. We defined enlarged cardiac chambers as the top quartile of LA (>82.7 cc) and LV (>136.5 cc) volume, which corresponded to 33% and 21.1% incidence of all-CVD events over 10 years (CHD, HF, AF, stroke, CVD deaths), respectively. LA and LV volumes were standardized by adjusting for body surface area (BSA). Results: A substantial portion of cases categorized by PREVENT as low risk (10-year risk <5%) had enlarged cardiac chambers (Figure 1). In females the lowest category of PREVENT had 10.6% enlarged LA cases and 26.6% enlarged LV volume cases. In males, the lowest category of PREVENT had 13.7% enlarged LA cases and 29.4% enlarged LV volume cases. Similarly, in low risk PCE, females had 12.8% enlarged LA and 24.9% enlarged LV, and males had 12.8% enlarged LA and 24.6% enlarged LV. Conclusion: In this multi-ethnic longitudinal population study, a substantial portion of cases classified as low-risk by PCE and PREVENT risk scores had enlarged LA and LV volumes detected by AI-CAC, putting them at risk for future HF, AF, and stroke.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4144067
Primary Topic
Cardiovascular Disease and Adiposity
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article
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article

Abstract 4144067: AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium Scans (AI-CAC) vs. ASCVD Pooled Cohorts Equation and PREVENT Risk Scores: The Multi-Ethnic Study of Atherosclerosis

Kim A. Williams, Morteza Naghavi, Prediman K. Shah, Claudia I. Henschke et al.
2 links
Circulation
Cardiovascular Disease and Adiposity
article

Abstract 4144067: AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium Scans (AI-CAC) vs. ASCVD Pooled Cohorts Equation and PREVENT Risk Scores: The Multi-Ethnic Study of Atherosclerosis

Kim A. Williams, Morteza Naghavi, Prediman K. Shah, Claudia I. Henschke, Andrea D. Branch, George S. Abela, Ning Ma, Ioannis A. Kakadiaris, David F. Yankelevitz, Jagat Narula, WENJUN FAN, Javier J. Zulueta, David J. Maron, Anthony P. Reeves, Michael V. McConnell, Khurram Nasir, Daniel A Levy, Matthew Jay Budoff, Nathan D. Wong, Sabee Molloi, Zahi Adel Fayad, Thomas Atlas, K. Atlas, Chenyu Zhang, Rui-ping Yu, Sion Roy
article en

Abstract

Background: Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston score which is used for coronary artery disease prediction only. We have previously reported AI-enabled cardiac chambers volumetry in CAC scans (AI-CAC) predicts incident atrial fibrillation (AF), heart failure (HF), and stroke in the Multi-Ethnic Study of Atherosclerosis (MESA). Here we compare the distribution of cardiac chambers volumes vs. risk categories of ASCVD pooled cohorts’ equation (PCE) and PREVENT TM risk scores. Methods: We applied the AutoChamber TM component of AI-CAC to 5830 individuals (52.2% women, age 61.7±10.2 years) without known CVD that were previously obtained for CAC scoring at the baseline examination of MESA. We calculated 10-year estimated risk from the PCE and PREVENT Risk Scores based on 4 categories of risk: <5%, 5-7.5%, 7.5-20%, >20% using baseline risk factors. The PREVENT total CVD base model was used in analysis, which excludes urinary albumin to creatinine ratio and social depravity index. We compared the distribution of the quartiles of left atrial (LA) and left ventricle (LV) volumes to categories of both risk scores. We defined enlarged cardiac chambers as the top quartile of LA (>82.7 cc) and LV (>136.5 cc) volume, which corresponded to 33% and 21.1% incidence of all-CVD events over 10 years (CHD, HF, AF, stroke, CVD deaths), respectively. LA and LV volumes were standardized by adjusting for body surface area (BSA). Results: A substantial portion of cases categorized by PREVENT as low risk (10-year risk <5%) had enlarged cardiac chambers (Figure 1). In females the lowest category of PREVENT had 10.6% enlarged LA cases and 26.6% enlarged LV volume cases. In males, the lowest category of PREVENT had 13.7% enlarged LA cases and 29.4% enlarged LV volume cases. Similarly, in low risk PCE, females had 12.8% enlarged LA and 24.9% enlarged LV, and males had 12.8% enlarged LA and 24.6% enlarged LV. Conclusion: In this multi-ethnic longitudinal population study, a substantial portion of cases classified as low-risk by PCE and PREVENT risk scores had enlarged LA and LV volumes detected by AI-CAC, putting them at risk for future HF, AF, and stroke.

CirculationVol. 150(Suppl_1)
Cedars-Sinai Medical Center (US), Houston Methodist (US), National Institutes of Health (US), University of Louisville (US), Palo Alto University (US), HRL Laboratories (United States) (US), University of California, Irvine (US), Cornell University (US), UCLA Health (US), Mount Sinai Hospital (US), National Heart, Lung, and Blood Institute (US), Michigan United (US), University of Houston (US), Michigan State University (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
Good health and well-being
Openalex Percentile: Top 62%
Cardiovascular Disease and Adiposity
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