Elevated FAI Index of Pericoronary Inflammation on Coronary CT Identifies Increased Risk of Coronary Plaque Vulnerability after COVID-19 Infection.
Botond-Barna MátyásImre BenedekEmanuel BlînduRenáta GerculyAurelian RoșcaNóra RatIstván KovácsDiana OpincariuZsolt ParajkóEvelin SzabóBianka BenedekTheodora BenedekPublished in: International journal of molecular sciences (2023)
Inflammation is a key factor in the development of atherosclerosis, a disease characterized by the buildup of plaque in the arteries. COVID-19 infection is known to cause systemic inflammation, but its impact on local plaque vulnerability is unclear. Our study aimed to investigate the impact of COVID-19 infection on coronary artery disease (CAD) in patients who underwent computed tomography angiography (CCTA) for chest pain in the early stages after infection, using an AI-powered solution called CaRi-Heart ® . The study included 158 patients (mean age was 61.63 ± 10.14 years) with angina and low to intermediate clinical likelihood of CAD, with 75 having a previous COVID-19 infection and 83 without infection. The results showed that patients who had a previous COVID-19 infection had higher levels of pericoronary inflammation than those who did not have a COVID-19 infection, suggesting that COVID-19 may increase the risk of coronary plaque destabilization. This study highlights the potential long-term impact of COVID-19 on cardiovascular health, and the importance of monitoring and managing cardiovascular risk factors in patients recovering from COVID-19 infection. The AI-powered CaRi-Heart ® technology may offer a non-invasive way to detect coronary artery inflammation and plaque instability in patients with COVID-19.
Keyphrases
- coronary artery disease
- coronary artery
- end stage renal disease
- oxidative stress
- ejection fraction
- percutaneous coronary intervention
- chronic kidney disease
- cardiovascular events
- newly diagnosed
- sars cov
- cardiovascular risk factors
- coronary artery bypass grafting
- coronavirus disease
- heart failure
- cardiovascular disease
- peritoneal dialysis
- pulmonary artery
- magnetic resonance imaging
- pulmonary hypertension
- patient reported outcomes
- left ventricular
- machine learning
- type diabetes
- dna methylation
- deep learning