The present study aimed to investigate the association between apolipoprotein B (Apo B) and classical features associated with clinical or subclinical atherosclerosis. A total of 811 adult patients from the general Romanian population, included in the national SEPHAR registry on hypertension, were divided into two groups based on Apo B value (low versus high Apo B with a cut-off established at 130 mg/dL) and subsequently into four subgroups according to the cut-offs recommended by the 2021 ESC Guidelines on Cardiovascular Disease Prevention. In all patients, lipid profile, uric acid, full blood count and presence of significant carotid plaques were assessed. Apo B levels were positively correlated with proatherogenic lipids (total cholesterol, triglycerides and LDL-cholesterol, p < 0.0001) and negatively correlated with HDL cholesterol (all p < 0.05). In comparison with patients with low Apo B levels, those with elevated Apo B levels more frequently presented significant carotid plaques (17% vs. 19% vs. 28% vs. 46%, p < 0.0001). Univariate regression analysis identified a strong association between the level of uric acid and increased value of Apo B in the four subgroups (uric acid 4.8 +/− 1.3 vs. 5 +/− 1.6 vs. 5.1 +/− 1.5 vs. 5.8 +/− 1.6, r = 0.2, p < 0.0001). The results of this nationwide registry on hypertension in Romania indicate that high Apo B may be considered as a risk factor for CVD, promoting atherosclerosis and associated with increased expression of classical markers of clinical or subclinical CVD.

The present study aimed to investigate the link between the severity of periodontal disease (PD), coronary calcifications and unstable plaque features in patients who underwent coronary computed tomography for unstable angina (UA). Fifty-two patients with UA, included in the ATHERODENT trial (NCT03395041), underwent computed tomographic coronary angiography (CCTA) and dental examination. Based on the median value of the periodontal index (PI), patients were assigned to the low periodontal index (LPI) group (PI < 22) and a high periodontal index (HPI) group (PI > 22). Patients with HPI had higher plaque volume (p = 0.013) and noncalcified plaque volume (p = 0.0003) at CCTA. In addition, the presence of vulnerability features in the atheromatous plaques was significantly correlated with PI (p = 0.001). Among periodontal indices, loss of gingival attachment (p = 0.009) and papillary bleeding index (p = 0.002) were strongly associated with high-risk plaques. PI significantly correlated with coronary calcium score (r = 0.45, p = 0.0008), but not with traditional markers of subclinical atherosclerosis. Overall, this subgroup analysis of the ATHERODENT study indicates that patients with advanced PD and UA present a higher amount of calcium in the coronary tree and have a more vulnerable phenotype of their culprit plaques.

Introduction: The pericoronary fat attenuation index (FAI) is an emerging computed tomography-derived marker for measuring vascular inflammation at coronary vessels. It holds prognostic significance for major cardiovascular events and enhances cardiac risk assessment, complementing traditional risk factors and coronary artery calcium scores. However, the impact of local coronary circulation factors on pericoronary inflammation development in right versus left coronary arteries has not been clearly understood. Objective: This study aimed to investigate the regional differences in inflammation levels between the right and left coronary arteries in four clinical scenarios: acute coronary event in the follow-up period, post-COVID patients, recent percutaneous intervention, and unstable angina with significant lesions on native coronary arteries. Methods: The study included 153 patients (mean age 62 years, 70.5% male) who underwent clinically indicated coronary computed tomography angiography (CCTA). Vulnerable plaque features were analyzed to identify high-risk plaques. FAI and the FAI score, a score integrating risk factors and age, were calculated for each case at the left anterior descending artery (LAD), circumflex artery (LCX), and right coronary artery (RCA). Results: A total of 459 coronary arteries were analyzed. Both FAI and FAI scores were higher in the RCA (15.23 ± 11.97) compared to the LAD (10.55 ± 6.78) and (11.48 ± 6.5) LCX (p = 0.02). FAI values showed a significantly higher level at the RCA (−71.25 ± 7.47 HU) compared to the LCX (−76 ± 7.68 HU) and the LAD (−73.04 ± 8.9 HU, p <0.0001). This trend persisted across all subgroups, including post-COVID CT scans (−75.49 ± 7.62 HU for RCA vs. −72.89 ± 9.40 HU for the LCX vs. −71.28 ± 7.82 HU for the LAD, p = 0.01) and patients with high-risk plaques (20.98 ± 16.29 for the RCA vs. 11.77 ± 7.68 for the LCX vs. 12.83 ± 6.47 for the LAD, p = 0.03). Conclusion: Plaques in different coronary areas show varied vulnerability and inflammation levels. The RCA, in particular, demonstrates greater inflammation susceptibility, with higher inflammation scores in areas surrounding the coronary plaques.

Recent studies have shown that systemic inflammation caused by periodontal disease (PD) can determine important changes in the coronary arteries, favoring atherosclerosis progression and the development of acute coronary syndromes (ACS). The aim of the ATHERODENT study (Protocol Record Number CM0117-ATD) is to assess the interrelation between PD, inflammation, and the progression of coronary atherosclerosis in patients with ACS.Material and methods: This case-control observational study will enroll 100 patients (group 1 – ACS and associated PD, and group 2 – ACS and no PD), in whom the following data will be collected: (1) demographic and clinical data; (2) cardiovascular risk factors; (3) full characterization of PD markers; (4) systemic inflammatory biomarkers; (5) imaging biomarkers derived from transthoracic echocardiography, computed tomography, coronary angiography, optical coherence tomography, and intravascular ultrasound; and (6) assessment of the presence of specific oral bacteria in samples of coronary plaques collected by coronary atherectomy, which will be performed during percutaneous revascularization interventions, when indicated in selected cases, in the atherectomy sub-study. The follow-up will be performed at 1, 3, 6, 12, 15, 18, and 24 months. The primary endpoint of the study will be represented by the rate of major adverse cardiovascular events (MACE) in PD vs. non-PD patients and in correlation with: (1) the level of systemic inflammation triggered by PD and/or by ACS at baseline; (2) the vulnerability degree of atheromatous plaques in the coronary tree (culprit and non-culprit lesions); and (3) the presence and burden of oral bacteria in atheromatous plaques. Secondary endpoints will be represented by: (1) the rate of progression of vulnerability degree of non-culprit coronary plaques; (2) the rate of progression of atheromatous burden and calcium scoring of the coronary tree; and (3) the rate of occurrence of left ventricular remodeling and post-infarction heart failure. The ATHERODENT study has been registered in clinicaltrials.gov (ClinicalTrials.gov Identifier: NCT03395041).

Background: Acute coronary syndrome (ACS) remains the leading cause of cardiovascular morbidity and mortality and is considered an inflammatory disease, characterized by elevated levels of inflammation biomarkers. Periostin (Pn) is a novel biomarker involved in inflammation and myocardial recovery processes following an ACS. However, the relationship between Pn and inflammatory biomarkers in ACS has not yet been fully elucidated. The aim of this study was to evaluate the effect of serum Pn levels on the inflammatory response following an ACS, to assess the association between Pn and systemic inflammatory biomarkers, and to examine the impact of increased inflammation on the immediate outcomes following an ACS. Methods: This study was an observational prospective study that enrolled 92 patients with ACS. Based on the median Pn value (set at 30.63 ng/ml), the study population was divided into two groups: Group 1 included 46 patients with low Pn levels, and Group 2 included 46 patients with high Pn levels. Inflammatory status was assessed. For CRP, values were recorded at baseline and on day 7. Results: ST-elevation myocardial infarction occurred more frequently among patients with high Pn levels (p = 0.0004), who also had significantly higher levels of MMP-9 (132.7 ± 112.2 pg/ml vs. 201 ± 69.37 pg/ml; p = 0.003). However, serum CRP levels were significantly lower among patients in Group 2 at baseline (26.61 ± 25.59 mg/dl vs. 9.2 ± 12.87 mg/dl; p = 0.0009) and on day 7 (31.84 ± 29.4 mg/dl vs. 19.25 ± 26.77 mg/dl; p = 0.04). Conclusions: Pn levels in patients with ACS are associated with more severe inflammation and worse outcomes.

Cardiovascular diseases are the leading cause of death, with many lives being affected by critical emergencies like heart attacks, strokes, and other acute conditions. Recognizing the early warning signs is crucial for highlighting the need for immediate medical attention, especially since a quick intervention may significantly improve short and long-term patient outcome. Artificial intelligence (AI) has become a key technology in healthcare, and especially in the cardiovascular field. AI, and in particular deep learning is well suited for automatically analyzing medical images, signals, and data. Its success rests on the availability of large amounts of curated data, and the access to high performance computing infrastructures for training the deep-learning algorithms. Thus, in cardiovascular care, AI plays a dynamic role in disease detection, predicting disease outcome, and guiding treatment decisions. This review paper details and discusses the current role of AI for the most common cardiovascular emergencies. It provides insight into the specific issues, risk factors, different subtypes of the diseases, and algorithms developed to date, followed by an outlook.