Search Results (90)

Background: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. Baseline data include indices of humoral and cellular immunity (CD59, CD16, IL-10, CD14, CD19, CD8, CD4, etc.), cytokines and markers of cardiovascular disease, inflammatory markers (TNF, GM-CSF, CRP), growth and angiogenesis factors (VEGF, PGF), proteins involved in apoptosis and cytotoxicity (perforin, CD95), as well as indices of liver function, kidney function, oxidative stress and heart failure (albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), superoxide dismutase (SOD), C-reactive protein (CRP), cholinesterase (ChE), cholesterol, and glomerular filtration rate (GFR)). Clinical and behavioural risk factors were also considered: arterial hypertension (AH), previous myocardial infarction (PICS), aortocoronary bypass surgery (CABG) and/or stenting, coronary heart disease (CHD), atrial fibrillation (AF), atrioventricular block (AB block), and diabetes mellitus (DM), as well as lifestyle (smoking, alcohol consumption, physical activity level), education, and body mass index (BMI). Methods: The study included 52 patients aged 65 years and older. Based on the clinical, biochemical and immunological data obtained, a model for predicting the risk of premature cardiovascular aging was developed using mathematical modelling and machine learning methods. The aim of the study was to develop a predictive model allowing for the early detection of predisposition to the development of CVDs and their complications. Numerical methods of mathematical modelling, including Runge–Kutta, Adams–Bashforth and backward-directed Euler methods, were used to solve the prediction problem, which made it possible to describe the dynamics of changes in biomarkers and patients’ condition over time with high accuracy. Results: HLA-DR (50%), CD14 (41%) and CD16 (38%) showed the highest association with aging processes. BMI was correlated with placental growth factor (37%). The glomerular filtration rate was positively associated with physical activity (47%), whereas SOD activity was negatively correlated with it (48%), reflecting a decline in antioxidant defence. Conclusions: The obtained results allow for improving the accuracy of cardiovascular risk prediction, and form personalised recommendations for the prevention and correction of its development. Full article

Acute myocardial infarction (AMI) in young adults, though less common than in older populations, is an emerging clinical concern with increasing incidence and diverse etiologies. Unlike classic atherosclerotic presentations, a significant proportion of AMI cases in individuals under 45 years are due to nonatherothrombotic mechanisms such as coronary vasospasm, spontaneous coronary artery dissection (SCAD), vasculitis, hypercoagulable states, and drug-induced coronary injury. This manuscript aims to explore the multifactorial nature of AMI in young adults through a focused review of current evidence and a series of illustrative clinical cases. We present and analyze four distinct cases of young patients with AMI, each demonstrating different pathophysiological mechanisms and risk profiles—including premature atherosclerosis, substance use, human immunodeficiency virus (HIV)-related coronary disease, and SCAD. Despite the heterogeneity of underlying causes, early diagnosis, individualized management, and aggressive secondary prevention were key to favorable outcomes. Advanced imaging, lipid profiling, and risk factor modification played a central role in guiding therapy. AMI in young adults requires heightened clinical suspicion and a comprehensive, multidisciplinary approach. Early intervention and recognition of nontraditional risk factors are essential to improving outcomes and preventing recurrent events in this vulnerable population. Full article

Background. Elevated lipoprotein(a) [Lp(a)] levels are a key factor in the early formation and progression of atherosclerosis. Monocytes in individuals with an elevated Lp(a) level are represented by an activated inflammatory phenotype and have an increased ability for transendothelial migration. This work studies the association between Lp(a), monocytes, and the progression of carotid atherosclerosis in patients with premature coronary heart disease (CHD). Methods. This study included 102 patients with CHD manifested before 55 in men and 60 in women who underwent two carotid duplex scans with an interval of 5 [3; 8] years. The criteria for the progression of carotid atherosclerosis were the appearance of new plaque and an increase in stenosis by >10% in any of the six segments. The lipid profile, Lp(a), and hematology with the calculation of the lymphocyte–monocyte ratio (LMR) were determined in all the patients. Results. The median blood monocyte count was 0.54 × 10⁹/L, and the median LMR was 4.18. In 70 patients, we revealed the criteria for carotid atherosclerosis progression. The groups did not differ by demographics, risk factors, or the blood lipid and lipoprotein levels, except for Lp(a); this concentration was higher in the patients with carotid atherosclerosis progression. The odds of atherosclerosis progression were highest in the patients with an elevated Lp(a) level and a blood monocyte count above the median (16.8, 3.4–83.0, p < 0.001). Carotid atherosclerosis progression was associated with LMR < 4.18 and an elevated Lp(a) level (OR = 4.3, 1.1–17.2, p = 0.04) and not associated with the patients with Lp(a) levels < 30 mg/dL and an LMR above the median. Conclusions. An elevated Lp(a) level and monocyte count provide the highest probability of the progression of carotid atherosclerosis in patients with premature CHD. Full article

Background/Objectives: Donation after circulatory death (DCD) has emerged to expand the heart-donor pool, but many DCD donors have risk factors such as cocaine or methamphetamine use. Stimulant use can cause coronary vasospasm and premature coronary artery disease, leading to routine donor coronary angiography (left heart catheterization, LHC) for coronary screening. However, performing LHC in DCD donors is challenging. We examined whether omitting LHC in stimulant-exposed DCD donors affects outcomes. Methods: A retrospective analysis was performed using the United Network for Organ Sharing (UNOS) database (2019–2024) to identify adult heart transplant recipients from DCD donors with documented cocaine or amphetamine use. Donors were stratified by whether antemortem LHC was performed. The primary outcome was 1-year recipient survival; secondary outcomes included graft failure and acute rejection. Kaplan–Meier survival curves and Cox regression analyses were performed. Results: A total of 485 DCD heart transplant recipients were identified; 135 (28%) donors underwent LHC and 350 (72%) did not. Recipient characteristics were similar between groups. No significant differences in 30-day (6% vs. 3%; p = 0.11), 90-day (6% vs. 3%; p = 0.21), or 1-year survival (7% vs. 6%; p = 0.48) were observed between the LHC and non-LHC cohorts. Graft failure and complication rates were also similar. However, among stimulant-exposed DCD donors with diabetes, an absence of LHC was associated with higher recipient mortality (HR 5.86, 95% CI: 1.57–21.87; p = 0.008). Conclusions: Routine donor coronary angiography may be unnecessary for stimulant-exposed DCD donors without additional risk factors. Omitting LHC did not compromise transplant outcomes. A selective LHC approach for high-risk DCD donors (e.g., diabetic donors) could safely expand the donor pool. Full article

Lipoprotein (a) [Lp(a)] has been recognized as an independent, inherited, causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis, thus representing a major target of residual CV risk. Currently, no drug has been officially approved for lowering Lp(a) levels, and in clinical practice, Lp(a) is mainly used to (re)define CV risk, particularly in individuals at borderline CV risk and people with a family history of premature coronary heart disease, according to various guidelines. Specific Lp(a)-targeted antisense oligonucleotides (ASOs) and small interfering RNA (siRNA) agents have been developed to produce substantial Lp(a) reductions via the inhibition of apo(a) synthesis in the liver. These drugs are conjugated to N-acetylgalactosamine (GalNAc) to ensure their binding to asialoglycoproteins, which are specifically expressed on the surface of the hepatocytes. Such drugs include pelacarsen (an injectable ASO) and olpasiran, zerlasiran, and lepodisiran (injectable siRNA agents). Muvalaplin represents another therapeutic option to lower Lp(a) levels, since it is an oral selective small molecule inhibitor of Lp(a) formation, thus potentially exerting certain advantages in terms of its clinical use. The present narrative review summarizes the available clinical data on the efficacy and safety of these investigational Lp(a)-lowering therapies, as reported in phase 1 and 2 trials. The effects of these drugs on other [aside from Lp(a)] lipid parameters are also discussed. The phase 3 CV trial outcomes are ongoing for some of these agents (i.e., pelacarsen, olpasiran, and lepodisiran) and are briefly mentioned. Overall, there is an urgent need for evidence-based guidelines on Lp(a) reduction in daily clinical practice, following the results of the phase 3 CV trials, as well as for establishing the ideal Lp(a) quantification method (i.e., using an apo(a) isoform-independent assay with appropriate calibrators, reporting the Lp(a) level in molar units). Full article

Background/Objectives: The role of speckle-tracking echocardiography in the diagnosis of stable coronary artery disease (CAD) remains controversial. The aim of this study was to assess the diagnostic accuracy of global longitudinal strain (GLS) in predicting significant CAD. Methods: In this prospective study, 103 symptomatic patients referred for invasive coronary angiography were enrolled. All patients underwent resting echocardiography with GLS assessment prior to angiography. Exclusion criteria included acute coronary syndrome, known history of CAD, and the presence of left ventricular wall motion abnormalities. Significant CAD was defined as ≥50% stenosis in at least one major epicardial coronary artery. Results: The mean patient age was 63.8 ± 9.3 years, with 78.6% being male. Hypertension was present in 63.1% of patients, dyslipidemia in 77.7%, diabetes mellitus in 22.3%, smoking history in 71.9%, and a family history of premature CAD in 24.3%. Significant CAD was identified in 45.6% (n = 47), while the remaining 54.3% (n = 56) had non-significant or no coronary artery disease. Patients with significant CAD exhibited significantly lower GLS values compared to those without (−15.73 ± 2.64% vs. −17.6 ± 1.85%, p = 0.001). A GLS threshold of >−16.3 predicted significant CAD with 66% sensitivity and 73.2% specificity (AUC = 0.692, p = 0.001). GLS demonstrated diagnostic accuracy in identifying disease in individual coronary territories, with AUCs of 0.754 for the left anterior descending artery (LAD), 0.714 for the left circumflex artery (LCx), and 0.723 for the right coronary artery (RCA). Diagnostic performance improved when GLS was combined across all three territories (AUC = 0.796). Conclusions: Resting myocardial GLS is accurate in detecting ischemic myocardial dysfunction and can accurately predict significant stenosis of the respective coronary branch subtending the segments. Full article

Coronary atherosclerosis in patients with diabetes mellitus is the most significant pathophysiological mechanism responsible for ischemic heart disease. Atherosclerosis in diabetes is premature, more diffuse, and more progressive, and it affects more coronary blood vessels compared to non-diabetics. Atherosclerosis begins with endothelial dysfunction, continues with the formation of fatty streaks in the intima of coronary arteries, and ends with the appearance of an atherosclerotic plaque that expands centrifugally and remodels the coronary artery. If the atherosclerotic plaque is injured, a thrombus forms at the site of the damage, which can lead to vessel occlusion and potentially fatal consequences. Diabetes mellitus and atherosclerosis are connected through several pathological pathways. Among the most significant factors that lead to atherosclerosis in diabetics are hyperglycemia, insulin resistance, oxidative stress, dyslipidemia, and chronic inflammation. Chronic inflammation is currently considered one of the most important factors in the development of atherosclerosis. However, to date, no adequate anti-inflammatory therapeutic measures have been found to prevent the progression of the atherosclerotic process, and they remain a subject of ongoing research. In this review, we summarize the most significant pathophysiological mechanisms that link atherosclerosis and diabetes mellitus. Full article

Despite significant advancements in the primary and secondary prevention of cardiovascular disease, evidence shows a rising incidence of premature coronary artery disease (CAD) and myocardial infarction (MI) in patients aged < 50 years. This increase is linked to the growing prevalence of traditional cardiovascular risk factors among younger people, such as type 2 diabetes, hypertension, obesity, and hyperlipidaemia, which have led to a rise in atherosclerotic CAD. Additionally, emerging research points to the influence of less traditional risk factors, including chronic inflammation, autoimmune diseases, drug use, psychosocial factors, and novel biomarkers in the early onset of CAD. These factors collectively contribute to the rise in premature CAD, highlighting the need for improved prevention strategies and public health efforts focused on younger populations. In this review, we explore the aetiology, risk factor profile, role of novel biomarkers, and how each of these impact outcomes among younger patients with MI. Full article

Coronary artery disease (CAD) is one of the primary causes of morbidity and death worldwide. Premature CAD (pCAD) is the term used to describe the 3–10% of CAD occurrences that occur in people under 45 worldwide. Diagnostic difficulties arise from the different risk factor profiles of pCAD and late-onset CAD. Better cardiovascular risk prediction in younger populations has been made possible by the development of biomarker detection tools. This can be applied to a diagnostic tool, including electrochemical biosensors, which have been predicted to be instrumental because of their adaptability for point-of-care applications for quicker diagnoses. These biosensors provide efficient, scalable, and reasonably priced solutions for the quick identification and tracking of CAD. Multiplex biomarker detection has been adopted as a viable approach for early diagnosis and risk assessment due to the constraints of using a single biomarker for pCAD diagnosis. Thus, this study looks at current developments in biosensing technology and discusses established and new cardiac biomarker panels for pCAD identification. Full article

Cardiovascular diseases (CVDs) represent a leading cause of premature mortality and disability worldwide, with their incidence expected to rise, potentially reaching 24 million deaths per year by 2030. These multifactorial diseases, including hypertension, coronary artery disease, arrhythmia, and heart failure, are often linked to metabolic disturbances such as diabetes, oxidative stress, endothelial dysfunction, and inflammation. Natural compounds, such as caffeine, have been explored for their potential therapeutic effects on CVDs. Caffeine, found in coffee, tea, cocoa, and various energy drinks, is a widely consumed psychoactive compound with noted analgesic and anti-inflammatory properties. Despite its long history of use, caffeine’s impact on cardiovascular health remains controversial, with both beneficial and harmful effects reported. This review examines the current literature on the effects of caffeine on cardiovascular diseases (CVDs), with an emphasis on preclinical and clinical studies, its pharmacokinetic properties, and the molecular mechanisms it modulates. There is evidence that moderate caffeine intake can be beneficial for some CVDs, such as hypertension, while for other CVDs, such as dyslipidemia, the evidence collected so far suggests that caffeine intake could be detrimental since it increases total cholesterol levels. But variability in dosage, intake patterns, and individual factors (such as genetics and diet) complicates the reliability of results. Additionally, challenges related to dose standardization and the absence of consistent clinical trial designs hinder the full utilization of caffeine in CVD treatment. Nonetheless, caffeine appears to be safe for individuals without significant cardiovascular conditions. Future research should aim for well-designed studies with precise patient cohorts and standardized methodologies to better assess caffeine’s role in CVD management. Full article

Background/Objectives: Aging and immune mechanisms play a key role in the development of cardiovascular disease (CVD), especially in the context of chronic inflammation. Therefore, in order to detect early aging in the elderly, we have developed a prognostic model based on clinical and immunological markers using machine learning. Methods: This paper analyzes the relationships between immunological markers, clinical parameters, and lifestyle factors in individuals over 60 years of age. A machine learning (ML) model including random forest, logistic regression, k-nearest neighbors, and XGBoost was developed to predict the aging rate and risk of CVD. Correlation anal is revealed significant associations between immune markers (CD14+, HLA-DR, IL-10, CD8+), clinical parameters (BMI, coronary heart disease, hypertension, diabetes), and behavioral factors (physical activity, smoking, alcohol). Results: The results of the study confirm that systemic inflammation, as reflected by markers such as CD14+, HLA-DR, and IL-10, plays a central role in the pathogenesis of aging and related diseases. CD14+ shows a moderate positive correlation with post-infarction cardiosclerosis, accounting for 37%. HLA-DR correlates with body mass index at 39%. A negative association between IL-10 level and BMI was also found, where the correlation reaches 52% (r = −0.52). The level of CD8+ cells shows a negative correlation with smoking and their number, being 40%. Training was performed on clinical and immunological data and models were evaluated using accuracy, ROC-AUC, and F1-score metrics. Among all the trained models, the XGBoost model performed best, achieving an accuracy of 91% and an area under the ROC curve (AUC) of 0.8333. Conclusions: The study reveals significant correlations between immunological markers and clinical parameters, which allows the assessment of individual risks of premature cardiovascular aging. R (version 4.3.0) and specialized libraries for correlation matrix construction and visualization were used for data analysis, and Python (version 3.11.11) was used for model development and training. Full article

Background/Objectives: Maintaining the health and operational readiness of military personnel is a strategic priority, particularly in the context of cardiovascular diseases (CVDs), which remain a significant public health challenge in Poland. Despite a decline in mortality rates between 2006 and 2012, Poland continues to report higher premature mortality rates compared to the OECD average. This study highlights the importance of effective risk assessment and management strategies, employing the POL SCORE scale, an adaptation of the European Society of Cardiology’s Systematic Coronary Risk Evaluation (SCORE) project. Methods: This study included 196 participants, comprising soldiers and civilian employees of the Ministry of National Defense, to assess their 10-year cardiovascular mortality risk. Data were collected using clinical evaluations and self-reported questionnaires. Results: Findings revealed that 66.3% of participants were at moderate risk, with significant differences observed based on gender and education level. Notably, the average triglyceride level was 219.3 ± 114.31 mg/dL in the very high-risk group, compared to 97.4 ± 41.31 mg/dL in the low-risk group. Stress, reported by 88.2% of participants, emerged as the most prevalent work-related risk factor. Alarmingly, a lack of awareness regarding cardiovascular risk factors was observed, particularly among high-risk individuals. Conclusions: This study underscores the need for targeted health education, regular preventive screenings, and psychological support, particularly among military personnel. These interventions are crucial to mitigating the burden of CVDs and ensuring the operational readiness of armed forces. Full article

Background and Clinical Significance: Cardiac sarcoidosis (CS) is a rare but life-threatening disorder, occurring in 2–5% of sarcoidosis cases, though post-mortem studies suggest a higher prevalence. It presents diagnostic challenges due to nonspecific symptoms and the low sensitivity of an endomyocardial biopsy. Recent guidelines emphasize multimodal imaging, such as cardiac magnetic resonance imaging (MRI) and positron emission tomography (PET). Given the risk of heart failure (HF) and arrhythmias, early detection is critical. This case highlights the role of non-invasive imaging in diagnosing CS and guiding treatment. Case Presentation: A 54-year-old female with asthma, hyperlipidemia, a recent diagnosis of anterior uveitis, and familial sarcoidosis presented with dyspnea, chest tightness, and worsening cough. Examination revealed anterior uveitis, erythema nodosum, jugular venous distension, and pedal edema. The electrocardiogram (ECG) demonstrated bifascicular block and premature ventricular contractions (PVCs). The brain natriuretic peptide (BNP) was 975 pg/mL, with the transthoracic echocardiogram revealing a left ventricular ejection fraction of 25–30% with global LV akinesis. Coronary computed tomography angiography (CCTA) excluded coronary artery disease. Cardiac MRI showed late gadolinium enhancement, with PET demonstrating active myocardial inflammation, supporting a >90% probability of CS. Given her clinical trajectory and risk of further decompensation, immunosuppressive therapy was initiated without pursuing a biopsy. A dual-chamber implantable cardioverter defibrillator (ICD) was placed due to risk of ventricular arrhythmias. Bronchoalveolar lavage (BAL) showed a CD4/CD8 ratio of 6.53, reinforcing the diagnosis. She responded well to treatment, with symptom improvement and repeat imaging demonstrating signs of disease remission. Conclusions: This case underscores the growing role of multimodal imaging in CS diagnosis, potentially replacing biopsy in select cases. Early imaging-based diagnosis enabled timely immunosuppression and ICD placement, improving outcomes. Full article

Premature myocardial infarction (MI) risk factors, including genetic ones, are crucial for an individual risk stratification. The aim of this study was to investigate the role of genetic variants in young patients with MI and a family history of premature atherosclerosis (FHpa). The studied group consisted of 70 patients aged 26–49 (mean 43.1, SD ± 4.3; 17 women, 53 men), with MI and with FHpa. The targeted enrichment library was prepared and analyzed using the Next-Generation Sequencing method. The results of sequencing were compared to data from the reference control population, consisting of 597 people with no history of MI (418 women, 179 men) aged 18–83 (mean 40.5, SD ± 12.4), using Propensity Score Matching. SYNE1 gene variant NM_182961.4:c.20396+22A>G occurs with a significantly higher incidence in the studied group compared to the control population (OR 4.80 95%CI 1.43–14.45; p = 0.005) as a whole and when matched by age and gender (OR 9.31 95%CI 1.64–95.41; p = 0.004). There were no statistically significant differences in the incidence of variants related to familial hypercholesterolemia (LDLR NM_001195800.2:c.667G>A, PCSK9 NM_182961.4:c.658−36G>A NM_174936.3:c.658−36G>A, and APOB NM_000384.3:c.12382G>A) between both cohorts. A novel variant of the SYNE1 gene is associated with MI in young patients with FHpa. Full article

Background and Objectives: The average age of presentation of coronary artery disease (CAD) is one decade younger in the Saudi population relative to other patients worldwide. It is imperative to investigate the prevalence of premature coronary artery disease (PCAD) risk factors in Saudi Arabia’s younger population in order to prevent the incidence of cardiovascular diseases in the future. Thus, the present study aimed to evaluate the severity and identify the risk factors associated with PCAD in patients under the age of 50 at King Saud University Medical City (KSUMC), Saudi Arabia. Methods: This observational retrospective study was conducted between June 2022 and June 2023 at King Saud University Medical City, Riyadh, Saudi Arabia. A total of 718 participants were included in the study. The patients, confirmed by electrocardiographic and/or angiographic findings of coronary artery disease, were divided into three age groups: group 1 (<40 years), group 2 (40–45 years), and group 3 (45–50 years). The severity of vessel occlusions was evaluated using the Gensini scoring system. Electrocardiographic findings, sociodemographic variables, and risk factors were also taken into consideration. Results: The mean age of patients in group 1 was 35.2 ± 4.5 years, in group 2 was 43.0 ± 1.3 years, and in group 3 was 48.4 ± 1.4 years. Patients in group 2 had a significantly higher BMI (31.3 ± 10.5) compared to patients in group 3 (29.4 ± 5.3; p = 0.015). Nearly 55% of patients under 40 years had 2 or 3 vessel occlusions according to the vessel score. The percentage of patients with inferior ST elevation was significantly higher in group 1 (<40 years, 11.2%) compared to groups 2 (40–45 years, 10.1%) and 3 (45–50 years, 6.0%; p = 0.001). Non-specific ST-T changes were more common in group 1 (31.4%) and group 2 (32.0%) compared to group 3 (28.4%). Although not statistically significant, left main artery occlusion tended to be higher in group 3 (8.6%) compared to groups 1 (4.6%) and 2 (4.5%; p = 0.229). Hyperlipidemia levels were significantly higher in patients with a Gensini score > 39 compared to those with a Gensini score < 39 (47.9% vs. 37.5%, respectively; p = 0.05). The prevalence of smoking was about 54% in group 1, followed by type 2 diabetes mellitus, dyslipidemia, and hypertension (37%, 36%, and 33%, respectively). Conclusions: This study suggested that PCAD Saudi patients below 40 years of age had a higher percentage of inferior ST elevation compared to older patients, while non-specific ST-T changes were significantly higher in older patients. Astonishingly, more than 50% of patients in all groups had two or three vessel occlusions. There was a high prevalence of modifiable risk factors, such as smoking, in younger patients, whereas hyperlipidemia was a risk factor for PCAD in all age groups. In addition, hyperlipidemia was highly correlated with severe vessel occlusion according to the Gensini score. Therefore, early preventive measures should be taken into consideration to reduce the future burden of cardiovascular complications in this population. Full article