Search Results (1,846)

Echocardiography is the primary imaging modality for diagnosing cardiac disease in children, with quantitation largely based on nomograms. Over the past decade, significant efforts have been made to address the numerical and methodological limitations of earlier nomograms. As a result, robust and reliable pediatric echocardiographic nomograms are now available for most two-dimensional anatomical measurements, three-dimensional volumes, and strain parameters. These more recent nomograms are based on adequate sample sizes, strict inclusion and exclusion criteria, and rigorous statistical methodologies. They have demonstrated good reproducibility with minimal differences across different authors, establishing them as reliable diagnostic tools. Despite these advances, some limitations persist. Certain ethnic groups remain underrepresented, and data for preterm and low-weight infants are still limited. Most existing nomograms are derived from European and North American populations, with sparse data from Asia and very limited data from Africa and South America. Nomograms for preterm and low-weight infants are few and cover only selected cardiac structures. Although diastolic parameter nomograms are available, the data remain heterogeneous due to challenges in normalizing functional parameters according to age and body size. The accessibility of current nomograms has greatly improved with the development of online calculators and mobile applications. Ideally, integration of nomograms into echocardiographic machines and reporting systems should be pursued. Future studies are needed to develop broader, more comprehensive, and multi-ethnic nomograms, with better representation of preterm and low-weight populations, and to validate new parameters derived from emerging three- and four-dimensional echocardiographic techniques. Full article

Background and Objectives: Despite significant advances in surgical techniques and perioperative care, major adverse cardiovascular events (MACE) remain a leading cause of postoperative morbidity and mortality in patients undergoing coronary artery bypass grafting and/or aortic valve replacement. Accurate preoperative risk stratification is essential yet often limited by models that overlook atrial mechanics and underutilized biomarkers. Materials and Methods: This study aimed to develop an interpretable machine learning model for predicting perioperative MACE by integrating clinical, biochemical, and echocardiographic features, with a particular focus on novel physiological markers. A retrospective cohort of 131 patients was analyzed. An Extreme Gradient Boosting (XGBoost) classifier was trained on a comprehensive feature set, and SHapley Additive exPlanations (SHAPs) were used to quantify each variable’s contribution to model predictions. Results: In a stratified 80:20 train–test split, the model initially achieved an AUC of 1.00. Acknowledging the potential for overfitting in small datasets, additional validation was performed using 10 independent random splits and 5-fold cross-validation. These analyses yielded an average AUC of 0.846 ± 0.092 and an F1-score of 0.807 ± 0.096, supporting the model’s stability and generalizability. The most influential predictors included total atrial conduction time, mitral and tricuspid annular orifice areas, and high-density lipoprotein (HDL) cholesterol. These variables, spanning electrophysiological, structural, and metabolic domains, significantly enhanced discriminative performance, even in patients with preserved left ventricular function. The model’s transparency provides clinically intuitive insights into individual risk profiles, emphasizing the significance of non-traditional parameters in perioperative assessments. Conclusions: This study demonstrates the feasibility and potential clinical value of combining advanced echocardiographic, biochemical, and machine learning tools for individualized cardiovascular risk prediction. While promising, these findings require prospective validation in larger, multicenter cohorts before being integrated into routine clinical decision-making. Full article

Background: Premature ventricular contractions (PVCs) are common arrhythmias associated with symptoms such as fatigue and, in severe cases, PVC-induced cardiomyopathy. Catheter ablation (CA) is a primary treatment for symptomatic PVCs, particularly when pharmacological therapies fail or are undesired. While improvements in: quality-of-life following ablation are documented, its impact on functional capacity remains underexplored. Objectives: This study evaluated the impact of CA on functional capacity and cardiac stress markers in patients with symptomatic PVCs using cardiopulmonary exercise testing (CPET) and NT-proBNP levels. Methods: A total of 30 patients underwent successful PVC ablation and completed baseline and follow-up CPET evaluations under the Bruce protocol. PVC burden, left ventricular ejection fraction (LVEF), NT-proBNP levels, and CPET parameters, including VO₂ max, METS, ventilatory efficiency, and anaerobic threshold (AT), were analyzed pre- and post-ablation. Results: PVC burden significantly decreased post-ablation (23,509.3 ± 10,700.47 to 1759 ± 1659.15, p < 0.001). CPET revealed improved functional capacity, with VO₂ max increasing from 24.97 ± 4.16 mL/kg/min to 26.02 ± 4.34 mL/kg/min (p = 0.0096) and METS from 7.16 ± 1.17 to 7.48 ± 1.24 (p = 0.0103). NT-proBNP significantly decreased (240.93 ± 156.54 pg/mL to 138.47 ± 152.91 pg/mL, p = 0.0065). LVEF and ventilatory efficiency metrics (VE/VO₂ and VE/VCO₂) remained stable. Conclusions: Catheter ablation improves functional capacity, reduces cardiac stress, and minimizes medication dependency in patients with symptomatic PVCs. These findings support the utility of ablation in enhancing aerobic capacity and overall exercise performance. Full article

We present a novel method to estimate blood cortisol concentration from sweat cortisol measurements, incorporating a kinetic model to simulate cortisol transport dynamics. Cortisol dysregulation is observed in conditions like Cushing’s syndrome, characterized by excessive cortisol production, and stress-related disorders, which can lead to metabolic disturbances, anxiety, and impaired overall health. Sweat-sensing technology offers a non-invasive and continuous alternative to blood sampling. However, the limited research exploring the sweat–blood cortisol relationship in patients shows a moderate correlation ($R<0.6$), hindering its clinical application for long-term monitoring. In this paper, we propose a novel kinetic model describing cortisol transport from blood to sweat. The model was validated using data from 44 patients before and after cardiac surgery. A high Pearson correlation coefficient of 0.95 (95% CI: 0.92–0.97) was observed between our model’s estimated and experimental blood cortisol concentrations. Moreover, the method enables personalized estimation of physiological parameters, accurately reflecting patients’ status under varying clinical conditions. The method paves the way for the clinical application of long-term, non-invasive monitoring of cortisol using sweat-sensing technology. Enabling the personalized estimation of physiological parameters could potentially support clinical decision-making, helping doctors diagnose and monitor patients with health conditions involving cortisol dysregulation. Full article

Background: Several blood biomarkers have shown a major role in predicting major adverse complications (MACs) in patients who have undergone cardiac surgery. Here, we aimed to investigate the possible role of the blood urea nitrogen (BUN) to serum albumin ratio (BAR) and the inflammatory prognostic index (IPI) in predicting major adverse complication after surgical aorta valve replacement (SAVR). Methods: The clinical, echocardiographic, and clinical-chemistry laboratory data of 195 patients who underwent SAVR were evaluated. The post-surgical MACs (death, surgical re-exploration, myocardial infarction and cerebral ischemia) during the hospitalization were recorded. Univariate and multivariate logistic regression analyses were studied by comparing the basic clinical features, echocardiographic parameters, and patients’ hematological indices between patients with or without MACs. Results: The mean age was 66.1 years, and 62.5% were males. Logistic regression analysis showed that the left atrium volume (LAV), BAR, and IPI as either continuous or categorical variables were independently associated with MACs. Moreover, we found a combined effect of higher LAV with a higher value of BAR or IPI. Combined higher levels of LAV and BAR increased the risk of developing MACs by 9.8 (CI 95% = 2.8–34.3, p = 0.0003), while higher values of LAV and IPI increased the risk of developing MACs by 4.5. Conclusions: Higher levels of BAR and IPI, alone or in combination with higher LAVs, showed an independent predictive value of MACs after SAVR. These findings strongly support the importance of evaluating easily available biomarkers of the pre-operative status of patients in order to predict adverse outcomes. Full article

Background: Sex-related differences in left ventricular (LV) reverse remodeling following ST-segment elevation myocardial infarction (STEMI) remain underexplored. We aimed to investigate predictors of reverse remodeling and its association with clinical outcomes, with a focus on sex-specific differences. Methods: We enrolled 253 STEMI patients (91 women, 28%) and assessed echocardiographic parameters at baseline and six months. LV reverse remodeling was defined as a ≥15% reduction in LV end-diastolic volume (LVEDV). Multivariate logistic regression identified independent predictors of remodeling. Clinical outcomes were evaluated over a median follow-up of 17 months (IQR 14–22 months), including major adverse cardiac events (MACEs). Kaplan–Meier and Cox regression analyses were performed. Results: Reverse remodeling occurred in 43% of patients and was more frequent in men than women (47% vs. 37%, p = 0.04). Male sex (OR 0.30; 95% CI: 0.14–0.65; p < 0.0001) and baseline global work efficiency (GWE) (OR 1.64; 95% CI: 1.45–1.85; p < 0.0001) were independent predictors. Men exhibited greater reductions in LVEDV, greater improvements in LV ejection fraction, and superior myocardial work indices. Over the follow-up, patients with reverse remodeling had significantly lower MACE rates compared to those without (10% vs. 24%, p < 0.01). Cox regression demonstrated that reverse remodeling was associated with a reduced risk of MACEs (HR 0.318; 95% CI: 0.181–0.557; p < 0.0001). Conclusions: LV reverse remodeling after STEMI is associated with improved clinical outcomes and is influenced by sex-specific differences. Baseline myocardial work indices, particularly GWE, are strong predictors of reverse remodeling. Men demonstrated a more favorable remodeling profile and myocardial recovery compared to women. Full article

Background: Atrial fibrillation (AF) recurrence following catheter ablation remains a significant clinical challenge despite technological advancements, with recurrence rates in the range of 20–40%. While left atrial parameters have been extensively studied as predictors of recurrence, the contribution of right atrial mechanical function has received limited attention. The hypothesis that the combined assessment of right and left atrial strain parameters may provide superior predictive value represents an important clinical question with potential implications for post-ablation risk stratification and follow-up strategies. Methods: This single-center, retrospective cohort study included 100 consecutive adult patients who underwent AF ablation between May 2022 and June 2024 with at least one-year follow-up. Patients were divided into two groups: those with recurrence (n = 13) and those without recurrence (n = 87). A comprehensive echocardiographic assessment, including the speckle-tracking strain analysis of both atria, was performed. Results: The median follow-up was 365 days [range: 150–912 days] in patients with recurrence. In the multivariable analysis, right ventricular diameter (OR: 0.74; 95% CI: 0.61–0.90; p = 0.001), left ventricular end-diastolic volume (OR: 1.04; 95% CI: 1.00–1.08; p = 0.022), and left ventricular global longitudinal strain rate (OR: 1.22; 95% CI: 1.05–1.40; p = 0.007) emerged as independent predictors of recurrence. Conclusions: The significant association of right atrial longitudinal reservoir strain with recurrence in univariable analysis, although not retained as an independent predictor in the multivariable model, suggests the importance of comprehensive cardiac assessment including right heart parameters in predicting AF recurrence. Full article

Background/Objectives: This study was conducted to analyze the associations between vascular endothelial growth factor (VEGF) serum concentrations and immunological biomarkers, inflammatory parameters, classical atherosclerosis risk factors, and cardiovascular manifestations in systemic lupus erythematosus (SLE) patients. Methods: The project included 83 individuals suffering from SLE, with 20 healthy individuals as controls. The serum levels of VEGF were determined through the ELISA method using R&D Systems tests. Laboratory markers, autoantibody profiles, traditional atherosclerotic risk factors, and organ manifestations were evaluated. Atherosclerotic changes were determined based on several indices including carotid intima-media thickness, ankle-brachial index and high resistance index assessments. Results: The reference range of serum VEGF concentrations was established based on the 25th and 75th percentiles obtained in the controls. High VEGF levels were significantly correlated with the presence of selected anti-phospholipid antibodies such as anti-prothrombin (OR = 10.7; 95%CI: 2.1–53.4) and anti-beta2 glycoprotein I (OR = 3.5; 95%CI: 1.1–10.8), as well as cardiac disorders (OR = 8.0; 95%CI: 1.6–39.5). On the other hand, low concentrations of VEGF were significantly related to lower frequencies of anti-double-stranded DNA antibodies (OR = 0.31; 95%CI: 0.11–0.91) and anti-endothelial cell antibodies (OR = 0.30; 95%CI: 0.11–0.85). Patients with low VEGF levels showed significantly reduced risks of atherosclerotic lesions (OR = 0.24; 95%CI: 0.04–0.99) and vasculitis development (OR = 0.17; 95%CI = 0.03–0.91). Conclusions: In conclusion, VEGF’s pathogenetic role in SLE and SLE-related atherothrombosis is manifested in close correlation with aPLs which may enhance their direct impact on endothelium. High VEGF levels are helpful for identifying cardiovascular risk in patients, while low concentrations indicate lower disease activity, as well as a lower risk of organ involvement. Full article

Aim: The frontal QRS-T (fQRS-T) angle serves as an electrocardiography indicator that visually represents the disparity between the frontal QRS axis and the T axis. The heterogeneity between cardiac depolarization and repolarization rises with an increase in the fQRS-T angle. Prior research has demonstrated a relationship between the fQRS-T angle and the extent of atherosclerosis, along with the risk of cardiovascular mortality. The non-alcoholic fatty liver disease fibrosis score (NFS) is a non-invasive scoring tool used to quantify the degree of liver fibrosis in individuals with non-alcoholic fatty liver disease (NAFLD). Non-alcoholic fatty liver disease increases the risk of atherosclerotic cardiovascular disease, which can be predicted using the NFS. The objective of this study is to examine the potential correlation between the fQRS-T angle and NFS in patients with stable angina pectoris. Materials and Methods: This cross-sectional study included 177 (48 women) non-alcoholic patients who underwent coronary angiography due to stable angina pectoris. Individual NFS values were calculated using clinical and laboratory data. Patients were categorized into two groups based on a NFS threshold value of 0.67. Following a minimum fasting period of 12 h, biochemical laboratory parameters were acquired using a peripheral venous sample, and electrocardiographic data were recorded. Results: The univariate logistic regression analysis revealed significant associations between hypertension (p = 0.018), coronary artery disease (p = 0.014), neutrophil (p = 0.024), hemoglobin (p = 0.038), and low-density lipoprotein (LDL, p = 0.007) with the NFS. The electrocardiographic variables related to the score included the QRS duration (p = 0.015), Pmax (p = 0.026), QTC interval (p = 0.02), and fQRS-T angle (p < 0.001). In the multivariate logistic regression analysis, NFS was independently associated with LDL (OR: 0.984, 95% CI: 0.970–0.998, p = 0.024) and fQRS-T angle (OR: 3.472, 95% CI: 1.886–6.395, p < 0.001). Conclusions: The FQRS-T angle may exhibit a distinct correlation with NAFLD. Extensive investigations should validate this link, since the fibrosis score can serve as an effective tool for monitoring patients prior to the onset of clinical symptoms associated with liver fibrosis. Full article

Background: Coronavirus disease 2019 (COVID-19) is frequently complicated by cardiovascular involvement. Soluble growth stimulation-expressed gene 2 (sST2) is a promising cardiovascular biomarker, but its prognostic value in COVID-19 remains unclear. Methods: This retrospective cohort study included 314 hospitalized COVID-19 patients classified into mild/moderate (n = 168) and severe/critical (n = 146). Plasma sST2 were measured using an enzyme-linked immunosorbent assay. Correlation analyses evaluated associations between sST2 and clinical parameters. Cox regression assessed the independent predictive value for cardiovascular events and all-cause mortality. Results: sST2 levels were significantly higher in severe/critical patients (16.877 ng/mL) than in mild/moderate cases (6.189 ng/mL) and healthy controls (4.003 ng/mL). sST2 positively correlated with cardiac injury markers (cTnI, CK-Mb, NT-proBNP), inflammatory indices (IL-1β, hsCRP), D-dimer, and inversely correlated with a left ventricular ejection fraction (r = −0.86). Elevated sST2 independently predicted cardiovascular events (HR = 2.972) and mortality (HR = 4.681). The Kaplan–Meier survival analysis demonstrated higher cardiovascular event rates and lower survival probabilities in patients with elevated sST2. The ROC curve indicated sST2 outperformed cTnI and NT-proBNP in predicting cardiovascular events (AUC = 0.898) and mortality (AUC = 0.871). Conclusion: Elevated sST2 is associated with myocardial injury, inflammation, and poor prognosis in COVID-19, supporting its value for risk stratification. Full article

Background/Objectives: Carnitine deficiency is common in hemodialysis patients and may contribute to anemia, inflammation, dyslipidemia, and muscle symptoms. This review explores the potential benefits of L-carnitine supplementation in this population. Methods: A thorough literature search of the PubMed database was conducted to identify clinical trials and studies assessing the effects of L-carnitine supplementation on adult hemodialysis patients. Key outcomes included the effects on inflammation, lipid profile, anemia, glycemic control, and muscle function. Results: Evidence suggests that L-carnitine may reduce inflammatory markers and improve lipid profiles by lowering triglycerides and increasing high-density lipoprotein (HDL). Several studies reported reduced erythropoietin need and improved hemoglobin levels. However, some studies did not find benefits of carnitine supplementation on the mentioned parameters. Results for muscle cramps, glycemic control, and cardiac function remain inconsistent. Conclusions: L-carnitine supplementation shows potential benefits in the management of hemodialysis complications. However, further well-designed trials are needed to confirm efficacy and optimize treatment protocols. Full article

Background: Hypotension following epidural labor analgesia (ELA) is its most common complication, affecting approximately 20% of patients and posing risks to both maternal and fetal health. As digital tools and predictive analytics increasingly shape perioperative and obstetric anesthesia practices, real-world implementation data are needed to guide their integration into clinical care. Current monitoring practices rely on intermittent non-invasive blood pressure (NIBP) measurements, which may delay recognition and treatment of hypotension. The Hypotension Prediction Index (HPI) algorithm uses continuous arterial waveform monitoring to predict hypotension for potentially earlier intervention. This clinical trial evaluated the feasibility, acceptability, and efficacy of continuous HPI-guided treatment in reducing time-to-treatment for ELA-associated hypotension and improving maternal hemodynamics. Methods: This was a prospective randomized controlled trial design involving healthy pregnant individuals receiving ELA. Participants were randomized into two groups: Group CM (conventional monitoring with NIBP) and Group HPI (continuous noninvasive blood pressure monitoring). In Group HPI, hypotension treatment was guided by HPI output; in Group CM, treatment was based on NIBP readings. Feasibility, appropriateness, and acceptability outcomes were assessed among subjects and their bedside nurse using the Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM) instruments. The primary efficacy outcome was time-to-treatment of hypotension, defined as the duration between onset of hypotension and administration of a vasopressor or fluid therapy. This outcome was chosen to evaluate the clinical responsiveness enabled by HPI monitoring. Hypotension is defined as a mean arterial pressure (MAP) < 65 mmHg for more than 1 min in Group CM and an HPI threshold < 75 for more than 1 min in Group HPI. Secondary outcomes included total time in hypotension, vasopressor doses, and hemodynamic parameters. Results: There were 30 patients (Group HPI, n = 16; Group CM, n = 14) included in the final analysis. Subjects and clinicians alike rated the acceptability, appropriateness, and feasibility of the continuous monitoring device highly, with median scores ≥ 4 across all domains, indicating favorable perceptions of the intervention. The cumulative probability of time-to-treatment of hypotension was lower by 75 min after ELA initiation in Group HPI (65%) than Group CM (71%), although this difference was not statistically significant (log-rank p = 0.66). Mixed models indicated trends that Group HPI had higher cardiac output (β = 0.58, 95% confidence interval −0.18 to 1.34, p = 0.13) and lower systemic vascular resistance (β = −97.22, 95% confidence interval −200.84 to 6.40, p = 0.07) throughout the monitoring period. No differences were found in total vasopressor use or intravenous fluid administration. Conclusions: Continuous monitoring and precision hypotension treatment is feasible, appropriate, and acceptable to both patients and clinicians in a labor and delivery setting. These hypothesis-generating results support that HPI-guided treatment may be associated with hemodynamic trends that warrant further investigation to determine definitive efficacy in labor analgesia contexts. Full article

Background: Cardiovascular diseases are the leading cause of global mortality, with 80% of coronary heart disease in patients over 65. Understanding aging cardiovascular structures is crucial. Photon-counting computed tomography (PCCT) offers improved spatial and temporal resolution and better signal-to-noise ratio, enabling texture analysis in clinical routines. Detecting structural changes in aging left-ventricular myocardium may help predict cardiovascular risk. Methods: In this retrospective, single-center, IRB-approved study, 90 patients underwent ECG-gated contrast-enhanced cardiac CT using dual-source PCCT (NAEOTOM Alpha, Siemens). Patients were divided into two age groups (50–60 years and 70–80 years). The left ventricular myocardium was segmented semi-automatically, and radiomics features were extracted using pyradiomics to compare myocardial texture features. Epicardial adipose tissue (EAT) density, thickness, and other clinical parameters were recorded. Statistical analysis was conducted with R and a Python-based random forest classifier. Results: The study assessed 90 patients (50–60 years, n = 54, and 70–80 years, n = 36) with a mean age of 63.6 years. No significant differences were found in mean Agatston score, gender distribution, or conditions like hypertension, diabetes, hypercholesterolemia, or nicotine abuse. EAT measurements showed no significant differences. The Random Forest Classifier achieved a training accuracy of 0.95 and a test accuracy of 0.74 for age group differentiation. Wavelet-HLH_glszm_GrayLevelNonUniformity was a key differentiator. Conclusions: Radiomics texture features of the left ventricular myocardium outperformed conventional parameters like EAT density and thickness in differentiating age groups, offering a potential imaging biomarker for myocardial aging. Radiomics analysis of left ventricular myocardium offers a unique opportunity to visualize changes in myocardial texture during aging and could serve as a cardiac risk predictor. Full article

Over the last ten years, transcatheter tricuspid valve interventions (TTVIs) have emerged as effective options for symptomatic patients with moderate-to-severe tricuspid regurgitation (TR) who are at prohibitive surgical risk. Successful application of these therapies depends on a patient-tailored, multimodal imaging workflow. Transthoracic and transesophageal echocardiography remain the first-line diagnostic tools, rapidly stratifying TR severity, mechanism, and right ventricular function, and identifying cases requiring further evaluation. Cardiac computed tomography (CT) then provides anatomical detail—quantifying tricuspid annular dimension, leaflet tethering, coronary artery course, and venous access anatomy—to refine candidacy and simulate optimal device sizing and implantation angles. In patients with suboptimal echocardiographic windows or equivocal functional data, cardiovascular magnetic resonance (CMR) offers gold-standard quantification of RV volumes, ejection fraction, regurgitant volume, and tissue characterization to detect fibrosis. Integration of echo-derived parameters, CT anatomical notes, and CMR functional assessment enables the heart team to better select patients, plan procedures, and determine the optimal timing, thereby maximizing procedural success and minimizing complications. This review describes the current strengths, limitations, and future directions of multimodality imaging in comprehensive evaluations of TTVI candidates. Full article

Background/Objectives: Randomized studies of patients with unprotected left main coronary artery (ULMCA) disease involve highly selected populations. Therefore, we sought to investigate the 60-month event-free survival of consecutive patients undergoing ULMCA percutaneous coronary intervention (PCI) and determine the best risk score system and independent predictors of event-free survival. Methods: All patients who underwent ULMCA PCI at our center between 1 January 2007 and 31 December 2014 were included. The primary endpoint was the time to cardiac death, target lesion myocardial infarction, or target lesion revascularization (whichever came first) with a follow-up of 60 months. Results: A total of 513 patients (mean age 68 ± 12 years, 64% male, 157 elective, 356 acute) underwent ULMCA PCI. The 60-month incidence of events was 16.8% and 38.0% in elective and acute patients, respectively. There were significantly more events in the acute group during the first 6.5 months. Of the risk scores, the ACEF (AUC = 0.786) and SYNTAX II (AUC = 0.716) scores had the best predictive power in elective and acute patients, respectively. The SYNTAX score proved to be the least predictive in both groups (AUC = 0.638 and 0.614 in the elective and acute groups, respectively). Left ventricular function (hazard ratio (HR) for +10% 0.53 [95% CI, 0.38–0.75] and 0.81 [95% CI, 0.71–0.92] in elective and acute patients, respectively) and, in acute patients, access site (femoral vs. radial HR 1.76 [95% CI, 1.11–2.80]), hyperlipidemia (HR 0.58 [95% CI, 0.39–0.86]), and renal function (HR for +10 mL/min/1.73 m² higher GFR: 0.87 [95% CI, 0.78–0.97]) were independent predictors of event-free survival. Conclusions: Acute ULMCA PCI patients have worse prognosis than elective patients, having more events during the first 6.5 months. Besides anatomical complexity, clinical and procedural parameters determine the prognosis. Full article