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<0.0001) and 15- year follow-up (0.70 vs. 0.74, p<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.
Authors
- Kim A. Williams (ORCID: https://orcid.org/0000-0001-9858-5761)
- Morteza Naghavi (ORCID: https://orcid.org/0000-0001-8112-175X)
- Prediman K. Shah (ORCID: https://orcid.org/0000-0002-6351-8291)
- Claudia I. Henschke (ORCID: https://orcid.org/0000-0002-6085-5305)
- Andrea D. Branch (ORCID: https://orcid.org/0000-0003-2865-3188)
- George S. Abela (ORCID: https://orcid.org/0000-0002-8201-956X)
- Ning Ma
- Wenjun Fan (ORCID: https://orcid.org/0000-0002-9760-4331)
- Ioannis A. Kakadiaris (ORCID: https://orcid.org/0000-0002-0591-1079)
- David F. Yankelevitz (ORCID: https://orcid.org/0000-0001-7364-4294)
- Javier J. Zulueta (ORCID: https://orcid.org/0000-0003-3182-3555)
- David J. Maron (ORCID: https://orcid.org/0000-0002-4867-8588)
- Anthony P. Reeves (ORCID: https://orcid.org/0000-0002-1451-3080)
- Michael V. McConnell (ORCID: https://orcid.org/0000-0001-8743-0932)
- Rebecca Yu (ORCID: https://orcid.org/0000-0003-1148-6977)
- Khurram Nasir (ORCID: https://orcid.org/0000-0001-5376-2269)
- Daniel A Levy (ORCID: https://orcid.org/0000-0003-1843-8724)
- Matthew Jay Budoff (ORCID: https://orcid.org/0000-0002-9616-1946)
- Nathan D. Wong (ORCID: https://orcid.org/0000-0003-1102-7324)
- Sabee Molloi (ORCID: https://orcid.org/0000-0003-1852-4913)
- Zahi Adel Fayad (ORCID: https://orcid.org/0000-0002-3439-7347)
- Thomas Atlas
- Kyle Atlas
- Chenyu Zhang (ORCID: https://orcid.org/0000-0002-9799-8772)
- Sion Roy
Institutions
- 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)
Publication Details
- Journal
- Circulation
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1161/circ.150.suppl_1.4144108
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00