Prevalence and Prognostic Value of Incidentally Detected Coronary Artery Calcium Using Artificial Intelligence Among Individuals With Immune-Mediated Inflammatory Diseases.
Authors
Affiliations (11)
Affiliations (11)
- Heart and Vascular Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
- Heart and Vascular Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Albert Einstein College of Medicine, Bronx, New York, USA.
- Department of Radiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, USA.
- Heart and Vascular Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Radiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, USA.
- Heart and Vascular Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
- Center for the Prevention of Cardiovascular Disease and Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
- Department of Dermatology and Department of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
- Department of Medicine (Cardiology), Icahn School of Medicine at Mount Sinai, New York, New York, USA.
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
- Heart and Vascular Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Radiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: [email protected].
Abstract
Coronary artery calcium (CAC) scoring is strongly associated with cardiovascular (CV) events among the general population; however, its prognostic value among individuals with immune-mediated inflammatory diseases (IMIDs) is not well characterized. This study aims to assess the prevalence of CAC derived from routine chest computed tomography (CT) using a validated artificial intelligence (AI) algorithm and its association with adverse CV events among those with IMIDs. The authors studied a retrospective cohort of all patients 40 to 70 years of age with a diagnosis of systemic lupus erythematosus, rheumatoid arthritis, or psoriatic disease, and no prior atherosclerotic cardiovascular disease who underwent chest CT at 2 medical centers in Boston, Massachusetts, USA, from 2000 to 2023 as part of routine care. The presence and severity of CAC was determined using a validated AI methodology. Cox proportional hazards modeling was used to assess the association of CAC-AI categories (CAC-AI = 0, CAC-AI = 1-99, and CAC-AI ≥100) with all-cause mortality and major adverse cardiovascular events (MACE) (nonfatal myocardial infarction, coronary revascularization, nonfatal stroke, or CV mortality). All models were adjusted for age, sex, and traditional CV risk factors. In total, 2,546 individuals with IMIDs (median age 59 years [Q1-Q3: 53-65 years]; 1,694 [66.5%] women) were included with a median follow-up of 8.1 years. Among this cohort, 53% had CAC-AI >0 while only 6.0% were on a statin. A low burden of CAC (CAC-AI = 1-99) was associated with an increased risk of all-cause mortality (adjusted HR: 1.41; P = 0.010) and MACE (adjusted HR: 2.05; P < 0.001) with even greater risk observed among individuals with CAC-AI ≥100 (adjusted HR: 2.45; P < 0.001) and MACE (adjusted HR: 3.24; P < 0.001). Among those with IMIDs, incidental CAC-AI was highly prevalent and significantly associated with both all-cause mortality and MACE. These findings suggest that CAC-AI may provide important prognostic information, allowing for improved risk stratification and treatment within an already high-risk and undertreated population.