Abstract 4144108: Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA <sub>2</sub> DS <sub>2</sub> s-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic St

Background: The CHA 2 DS 2 -VASc risk score is a clinical tool for stroke prediction. It is mainly used in patients with atrial fibrillation (AF) but is also applied to the non-AF population. We previously reported that artificial intelligence (AI)-enabled left atrial (LA) volumetry from coronary artery calcium (CAC) scans (AI-CAC) predicts AF as early as one year and outperformed CHARGE-AF and NT-proBNP. In this report, we compare AI-CAC LA volumetry to the CHA 2 DS 2 -VASc risk score and evaluate the incremental value of incorporating AI-CAC LA volume to CHA 2 DS 2 -VASc for incident stroke prediction in the non-AF population. Methods: We applied the AutoChamber TM LA volumetry component of AI-CAC to CAC scans of 5830 people without AF (52.2% women, age 61.7±10.2 years) enrolled in the Multi-Ethnic Study of Atherosclerosis (MESA) baseline (2000-2002). We used the 15-year outcomes data for incident stroke (ischemic and hemorrhagic) and assessed discrimination using the time-dependent area under the curve (AUC) between AI-CAC LA volume vs. CHA 2 DS 2 -VASc risk score. Notably, the CHA 2 DS 2 -VASc score in this non-AF population ranges from 0 to 5, whereas in the AF population it typically ranges from 0 to 9 points. Results: 252 cases of stroke accrued over 15 years. The median and mean ± SD of CHA 2 DS 2 -VASc score at baseline were 1.0 and 1.58 ± 1.15, respectively. The cumulative incidence of stroke for the 95 th percentile of AI-CAC LA volume (n=291) vs. CHA 2 DS 2 -VASc 4 or 5 points (n=364) was 13.0% and 13.7%, respectively. AI-CAC LA volume significantly improved the AUC of CHA 2 DS 2 -VASc for stroke prediction at 2-year follow-up (0.76 for CHA 2 DS 2 -VASc vs. 0.81 for CHA 2 DS 2 -VASc plus LA volume, p=0.03), 5-year follow-up (0.73 vs. 0.77, p=0.01), 10-year follow-up (0.70 vs. 0.75, p&lt;0.0001) and 15- year follow-up (0.70 vs. 0.74, p&lt;0.0001). Conclusion: In this multi-ethnic longitudinal cohort of people without AF, addition of LA volume significantly improved performance of the CHA 2 DS 2 -VASc risk score for stroke prediction from 2 to 15 years follow-up. Further studies are needed to evaluate the clinical utility of adding LA volume to CHA 2 DS 2 -VASc risk score in people with and without AF.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4144108
Primary Topic
Cardiovascular Disease and Adiposity
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article
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article

Abstract 4144108: Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA 2 DS 2 s-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic St

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

Abstract 4144108: Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA 2 DS 2 s-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic St

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

Abstract

Background: The CHA 2 DS 2 -VASc risk score is a clinical tool for stroke prediction. It is mainly used in patients with atrial fibrillation (AF) but is also applied to the non-AF population. We previously reported that artificial intelligence (AI)-enabled left atrial (LA) volumetry from coronary artery calcium (CAC) scans (AI-CAC) predicts AF as early as one year and outperformed CHARGE-AF and NT-proBNP. In this report, we compare AI-CAC LA volumetry to the CHA 2 DS 2 -VASc risk score and evaluate the incremental value of incorporating AI-CAC LA volume to CHA 2 DS 2 -VASc for incident stroke prediction in the non-AF population. Methods: We applied the AutoChamber TM LA volumetry component of AI-CAC to CAC scans of 5830 people without AF (52.2% women, age 61.7±10.2 years) enrolled in the Multi-Ethnic Study of Atherosclerosis (MESA) baseline (2000-2002). We used the 15-year outcomes data for incident stroke (ischemic and hemorrhagic) and assessed discrimination using the time-dependent area under the curve (AUC) between AI-CAC LA volume vs. CHA 2 DS 2 -VASc risk score. Notably, the CHA 2 DS 2 -VASc score in this non-AF population ranges from 0 to 5, whereas in the AF population it typically ranges from 0 to 9 points. Results: 252 cases of stroke accrued over 15 years. The median and mean ± SD of CHA 2 DS 2 -VASc score at baseline were 1.0 and 1.58 ± 1.15, respectively. The cumulative incidence of stroke for the 95 th percentile of AI-CAC LA volume (n=291) vs. CHA 2 DS 2 -VASc 4 or 5 points (n=364) was 13.0% and 13.7%, respectively. AI-CAC LA volume significantly improved the AUC of CHA 2 DS 2 -VASc for stroke prediction at 2-year follow-up (0.76 for CHA 2 DS 2 -VASc vs. 0.81 for CHA 2 DS 2 -VASc plus LA volume, p=0.03), 5-year follow-up (0.73 vs. 0.77, p=0.01), 10-year follow-up (0.70 vs. 0.75, p&lt;0.0001) and 15- year follow-up (0.70 vs. 0.74, p&lt;0.0001). Conclusion: In this multi-ethnic longitudinal cohort of people without AF, addition of LA volume significantly improved performance of the CHA 2 DS 2 -VASc risk score for stroke prediction from 2 to 15 years follow-up. Further studies are needed to evaluate the clinical utility of adding LA volume to CHA 2 DS 2 -VASc risk score in people with and without AF.

CirculationVol. 150(Suppl_1)
Cedars-Sinai Medical Center (US), Houston Methodist (US), University of Louisville (US), University of California, Irvine (US), Cornell University (US), UCLA Health (US), Mount Sinai Medical Center (US), Mount Sinai Hospital (US), National Heart, Lung, and Blood Institute (US), Michigan United (US), Harbor–UCLA Medical Center (US), University of Houston (US), Michigan State University (US), Stanford University (US)
Gender equality
Openalex Percentile: Top 62%
Cardiovascular Disease and Adiposity
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