Cecco, Carlo N. De

Anomalous aortic origin of a coronary artery (AAOCA) is a rare congenital anomaly affecting around 0.4–0.8% of the population, but limited mortality data exist. We characterized trends and disparities in AAOCA-related mortality in the United States from 1999 to 2023. We queried the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research multiple-cause-of-death database for AAOCA-related deaths among all age groups. Age-adjusted mortality rates (AAMR) per 1,000,000 population with 95% confidence interval, stratified by year, sex, race, regions, and urbanization status, were abstracted. Annual percent changes were computed by Joinpoint regression. From 1999 to 2023, there were 6665 AAOCA-related deaths. Overall AAMR fell insignificantly from 1.1 in 1999 to 0.9 by 2001, rose to 1.1 in 2008, declined significantly to 0.5 by 2020, and then increased to 0.8 by 2023. Male AAMRs exceeded females (1999: 1.3 vs 0.9; 2023: 1.2 vs 0.4). Racially, from 1999–2020 to 2021–2023, non-Hispanic (NH) Blacks exhibited the highest AAMR (1.8 vs 1.5), trailed by NH Whites (0.8 vs 0.6) and Hispanics (0.5 vs 0.6). Regionally, AAMRs from 1999 to 2020 were 0.9 in the Northeast, Midwest, and South, and 0.8 in the West. Moreover, both urban and rural AAMRs were 0.9. Among age groups, <44 years mortality declined, with the steepest drop in 15–44 years, while mortality for >45 years plateaued. Although AAOCA mortality declined overall, especially in children and young adults, it remains high among men, NH Blacks, and Midwest residents. Its recent rebound underscores the need for early detection, risk stratification, and surveillance for timely interventions.

Positive remodeling (PR) is an atherosclerotic plaque feature defined as an increase in arterial caliber at the level of an atheroma, in response to increasing plaque burden. The mechanisms that lead to its formation are incompletely understood, but its role in coronary atherosclerosis has major clinical implications. Indeed, plaques with PR have elevated risk of provoking acute cardiac events. Hence, PR figures among the high-risk plaque features that cardiac imaging studies should report. This review aims to provide an overview of the current literature on coronary PR. It outlines the pathophysiology of PR, the different techniques used to assess its presence, and the imaging findings associated to PR, on both noninvasive and invasive studies. This review also summarizes clinical observations, trials, and studies, focused on the impact of PR on clinical outcome.

In addition to the traditional clinical risk factors, an increasing amount of imaging biomarkers have shown value for cardiovascular risk prediction. Clinical and imaging data are captured from a variety of data sources during multiple patient encounters and are often analyzed independently. Initial studies showed that fusion of both clinical and imaging features results in superior prognostic performance compared with traditional scores. There are different approaches to fusion modeling, combining multiple data resources to optimize predictions, each with its own advantages and disadvantages. However, manual extraction of clinical and imaging data is time and labor intensive and often not feasible in clinical practice. An automated approach for clinical and imaging data extraction is highly desirable. Convolutional neural networks and natural language processing can be utilized for the extraction of electronic medical record data, imaging studies, and free-text data. This review outlines the current status of cardiovascular risk prediction and fusion modeling; and in addition gives an overview of different artificial intelligence approaches to automatically extract data from images and electronic medical records for this purpose.