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Background: Sepsis survivors experience substantial long-term cardiovascular (CV) morbidity and mortality. The pooled-cohort atherosclerotic cardiovascular disease (ASCVD) score estimates 10-year risk in the general population, but its accuracy soon after sepsis is unknown. Objectives: (1) Describe the absolute five-year incidence of major adverse cardiovascular events (MACE) after sepsis hospitalization. (2) Evaluate the discrimination and calibration of the 10-year ASCVD score for predicting five-year MACE in this setting. Research Questions: The ASCVD score would underpredict five-year MACE in sepsis survivors, reflecting their heightened risk. Methods: We performed a retrospective closed-cohort study using electronic health records from Mayo Clinic hospitals (USA). Adults aged 40–75 years hospitalized for sepsis between 2018 and 2020 were eligible if follow-up was ≥5 years; the age criterion matched the derivation range of the ASCVD score. The primary outcome was five-year MACE—myocardial infarction (MI), ischemic or hemorrhagic stroke, or CV death. Secondly we evaluated the predictive performance of ASCVD score for five-year MACE. Discrimination was assessed with the area under the receiver-operating curve (AUROC); calibration with Calibration-in-the-Large (CITL, ideal = 0) and slope (ideal = 1). Performance metrics were calculated in patients with complete ASCVD variables. Results: A total of 6306 sepsis admissions were screened. 2424 patients were excluded for age outside 40–75 years and 879 for <5 year follow-up, leaving 2718 patients for incidence analyses. Median age was 65 years (IQR 56–70); 55 % were male, 38 % required ICU care, and 91 % were White. Median body-mass index was 28.2 kg/m2 (IQR 23.7-34.7). During follow-up, 125 patients (4.6 %) had MI, 219 (8.1 %) experienced stroke, and 303 (11.1 %) died of CV causes; overall, 1573 patients (57.9 %) met the composite MACE outcome. Complete ASCVD data were available for 409 patients. In this subset, discrimination was moderate (AUROC 0.65; 95 % CI 0.59–0.71). Calibration showed CITL +0.34 (95 % CI 0.09–0.59) and slope 0.50 (95 % CI 0.28–0.72), indicating systematic infra-prediction and over-fitting, respectively. Conclusion: Five-year MACE incidence after sepsis is high. The 10-year ASCVD score moderately discriminates but underestimates five-year CV risk in this population, highlighting the need for sepsis-specific predictive models or recalibration to guide targeted post-sepsis cardiovascular prevention.

Background: We conducted an updated meta-analysis of the routine use of cerebral embolic protection (CEP) devices in Transcathter Aortic Valve Replacement (TAVR). This analysis follows the recent BHF PROTECTED TAVI trial which is the largest randomized controlled trial to date. Methods: Electronic databases were searched through April 2025 for eligible randomized controlled trials (RCTs). The primary outcome was overall incidence of stroke, disabling stroke and non-disabling stroke all reported at 2-5 days and 30 days were primary outcomes for our analyses. Results: 8 RCTs with a total of 11,692 patients were included. No statistically significant difference was found between CEP group and the control group in overall stroke incidence at 2-5 days and 30 days as the following (RR=0.95, 95%CI: [0.75,1.19], p=0.64) and (RR=0.93, 95%CI: [0.57,1.53], p=0.79). Similarly, the pooled analysis revealed no statistically significant difference between the two groups in terms of disabling stroke at 2-5 days (RR=0.70, 95%CI: [0.41,1.18], p=0.18), and at 30 days (RR=1.18, 95%CI: [0.36,3.87], p=0.78). CEP group and control group didn’t show statistically significant difference in non- disabling stroke at 2-5 days and 30 days as the results showed: (RR=1.17, 95%CI: [0.84,1.63], p=0.36) and (RR=0.86, 95%CI: [0.49,1.51], P=0.61) respectively. Conclusion: Our meta-analysis found no statistically significant evidence that cerebral embolic protection (CEP) devices reduce the incidence of stroke—disabling or non-disabling in the 2-5 days following TAVR or after 30 days. Major bleeding, major vascular complication and AKI showed no statistically significant results indicating a neutral safety profile.

Introduction: Language barriers represent an often-overlooked determinant of health equity. This study evaluates the impact of limited English proficiency (LEP) on major adverse cardiac events (MACE) and mortality in patients undergoing cardiovascular surgery. We hypothesized that patients with LEP have a higher incidence of adverse outcomes compared to English proficient patients. Methods: We conducted a retrospective cohort study using Cosmos, a longitudinal national electronic health record dataset. Patients were classified as having LEP if their record indicated a preferred language other than English. Adult patients aged 18-95 years who underwent coronary artery bypass grafting, valvular surgery, or thoracic aorta surgery in the United States (January 2016 - February 2025) were included. Exclusion criteria were missing language data, first in-person encounter <1 year prior to surgery, history of metastatic cancer or dialysis, and nursing home residence within 90 days of surgery. The primary outcome was MACE, a composite of stroke, revascularization, and hospitalization for myocardial infarction or heart failure. The secondary outcome was all-cause mortality. The cumulative incidence of MACE was estimated via a competing risk framework, while the cumulative incidence of mortality was estimated with the Kaplan-Meier method. Multivariate Cox proportional hazard regressions were fitted for all outcomes. Results: The cohort included 12,706 LEP patients (28.8% female) and 393,612 English-proficient patients (33.2% female). Differences in baseline characteristics included age, race, and comorbidity burden. The unadjusted cumulative incidence of MACE was higher in LEP patients, but all-cause mortality was lower (Figure 1). Over the follow-up period, the incidence rate of MACE for English proficient patients vs LEP was 185 vs 219 per 1000 patient years and 39 vs 36 per 1000 patient years for mortality. The adjusted hazard ratio for MACE was 0.97 (95% CI: 0.94 - 1.01, p = 0.19) and 0.89 (95% CI: 0.83 - 0.95, p <0.001) for mortality. Conclusions: LEP was associated with higher unadjusted cumulative incidence of MACE and lower mortality, but only the association with mortality persisted after regression analysis. Our findings highlight the need for further research into the impact of language proficiency on outcomes after cardiac surgery and the potential benefit of targeted interventions to address language-related disparities.

A 63-year-old female with mixed connective tissue disease on long-term immunosuppression (prednisone, azathioprine, hydroxychloroquine (HCQ)) was referred to a tertiary care center for evaluation of progressive dyspnea and exertional chest discomfort. Cardiac history included transient complete heart block and ventricular tachycardia with dual-chamber AICD, and severe aortic stenosis with bicuspid aortic valve. Laboratory evaluation was notable for NT pro-BNP > 5000 pg/mL and elevated but adynamic troponin (300-500 ng/L). Electrocardiogram revealed atrial pacing with first degree atrioventricular block. Echocardiogram confirmed severe aortic stenosis, elevated filling pressures, abnormal left ventricular longitudinal strain and LV hypertrophy. Cardiac MRI, sarcoid PET, and PYP SPECT/CT were without any evidence of edema, scar, inflammation or amyloid deposition. Catheterization revealed severe pulmonary hypertension and elevated filling pressures, without significant coronary disease. Medical treatment included empagliflozin (discontinued due to urosepsis), bumetanide, spironolactone, and metoprolol succinate. Neither TAVR nor transition to biventricular pacing improved LV function. Ultimately, endomyocardial biopsy was performed, revealing histologic features of HCQ-induced cardiotoxicity, including myocyte hypertrophy and interstitial fibrosis. HCQ was discontinued. She was referred to Rheumatology for alternative treatments. HCQ induced cardiomyopathy represents <2% of adverse events of patients treated with HCQ, presenting as hypertrophic or restrictive cardiomyopathy with conduction abnormalities. Mean treatment duration in HCQ cardiomyopathies is approximately 12.7 years. Confirmation of diagnosis requires endomyocardial biopsy, as imaging findings are often non-specific. Management involves discontinuing the offending agent and optimizing heart failure therapy. Around 45% of patients with HCQ cardiomyopathy exhibit resolution of cardiac function following medication discontinuation. This case emphasizes the importance of a systematic approach to unexplained heart failure, particularly in patients with long-term HCQ use. Infiltrative or toxic cardiomyopathies should be considered when imaging suggests myocardial dysfunction. Multimodal imaging and biopsy are crucial for diagnosis. Early recognition is essential to prevent irreversible myocardial damage and improve long-term outcomes.

Background: Chronic right ventricular pacing (RVP) can lead to electrical dyssynchrony, often resulting in pacemaker-induced cardiomyopathy (PICM). Although biventricular pacing (BiVP) is a standard upgrade strategy, it is associated with notable rates of non-response and procedural limitations. Conduction system pacing (CSP), including His bundle pacing (HBP) and left bundle branch pacing (LBBP), offers a more physiological approach by directly engaging the native conduction system. Emerging evidence supports the role of His-Purkinje conduction system pacing (HPCSP) in reversing adverse remodeling and improving clinical outcomes in PICM patients. Methods: A comprehensive literature search was performed across PubMed, Embase, Cochrane Library, and ClinicalTrials.gov through January 2025. Studies were included if they evaluated outcomes in patients with PICM who had been chronically paced in the right ventricle and subsequently upgraded to HPCSP. Key endpoints included changes in left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) functional class. Results: Six studies comprising 144 patients were included. Over an average follow-up of 17.9 ± 10.5 months, significant improvement in LVEF was observed, increasing from 35 ± 8% prior to upgrade to 48 ± 12% following HPCSP (P < 0.001). Similarly, NYHA class improved from a baseline of 2.7 ± 0.8 to 1.9 ± 0.8 (P < 0.001), indicating meaningful symptomatic relief. Conclusion: Upgrading to His-Purkinje conduction system pacing is a safe and effective strategy in patients with PICM. It offers significant improvements in cardiac function and quality of life by restoring physiologic electrical activation. HPCSP represents a promising alternative to BiVP in this population and should be considered in clinical decision-making for pacing upgrades.

Introduction: Hypercholesterolemia drives atherosclerotic cardiovascular disease. Bempedoic acid (BA) lowers low-density-lipoprotein cholesterol (LDL-C) by inhibiting ATP-citrate-lyase, providing a non-statin option for patients who need additional lipid control. Hypothesis: We expected BA to improve atherogenic lipids and major adverse cardiovascular events (MACE) without raising cardiovascular (CV) mortality and with an acceptable safety profile. Aims: To measure the pooled effect of BA on (1) LDL-C, (2) non-HDL-C, (3) high-sensitivity C-reactive protein (hsCRP) and to compare clinical outcomes for (4) MACE, (5) CV mortality, and (6) hyperuricemia versus placebo. Methods: A systematic search of PubMed, Embase, MEDLINE, Google Scholar and ClinicalTrials.gov through 1 April 2025 identified randomized controlled trials (RCTs) of BA versus placebo in adults with hypercholesterolemia. Data were extracted into a spreadsheet, and analyses were performed with RevMan 5.4. Results: 13 RCT's with 22345 patients met the inclusion criteria. BA produced robust lipid and inflammatory improvements. LDL-C fell by 24.3 % (95 % CI −27.8 to −20.9), non-HDL-C by 19.8 % (95 % CI −25.0 to −14.6), and hsCRP by 26.7 % (95 % CI −39.6 to −13.7). These changes translated into a 19 % relative reduction in MACE (RR 0.81, 95 % CI 0.68–0.96), while CV mortality was unchanged (RR 0.87, 95 % CI 0.53–1.43). As anticipated, hyperuricemia risk almost doubled with BA (RR 1.93, 95 % CI 1.75–2.14). Conclusion: BA consistently lowers LDL-C, non-HDL-C and systemic inflammation and reduces MACE without affecting CV mortality. The main safety concern is higher hyperuricemia, which appears manageable with monitoring. These findings support BA as an effective add-on therapy for patients who are statin-intolerant or need further lipid reduction, while highlighting the need for longer trials to assess mortality benefits and long-term safety.

Background: Coronary computed tomography angiography (CCTA) is vital for diagnosing ischemic heart disease, yet its accuracy is affected by varying reader expertise. Artificial Intelligence (AI)-driven automated stenosis assessment offers promise for enhancing diagnostic consistency. Aim: We aim to evaluate an AI-CCTA assessment against invasive coronary angiography, invasive FFR, and expert readings. Methods: We performed a comprehensive search in Web of Science, Scopus, PubMed, Cochrane Library, and EMBASE from inception until March 2025. Two independent reviewers screened articles and extracted data on study design, patient demographics, AI methodology, stenosis thresholds, and outcomes. For statistical analysis, we constructed summary receiver operating characteristic (SROC) curves and used a bivariate random-effects model to derive pooled sensitivity, specificity, diagnostic odds ratios (DOR), and area under the curve (AUC). Forest plots were generated to visualize these metrics. Results: Our meta-analysis included 34 studies with 10,067 patients. AI-based CCTA demonstrated excellent diagnostic performance with an AUC of 0.932 for per-patient analysis. The pooled per-patient sensitivity was 0.89 (95% CI: 0.87–0.91) and specificity was 0.80 (95% CI: 0.74–0.86), with a DOR of 37.07 (95% CI: 24.57–55.92). AI validated against expert readers achieved the highest accuracy (0.94, 95% CI: 0.87-0.98). The >70% stenosis threshold demonstrated superior performance (accuracy: 0.89, specificity: 0.96) compared to the >50% threshold (accuracy: 0.86, specificity: 0.87). Per-vessel analysis showed comparable results with an AUC of 0.905. Conclusion: Our meta-analysis confirms that AI-assisted coronary CT angiography delivers high diagnostic performance for coronary stenosis detection, with strong AUC values, high sensitivity and specificity, and robust diagnostic odds ratios across both per-patient and per-vessel assessments.

Background: Exhaled volatile organic compounds (VOCs) can provide insight into various physiological and metabolic processes. Aim: The purpose of this study was to determine if exhaled VOCs would differ across disease severity in heart failure (HF) patients. Methods: We recruited 62 individuals who were classified as healthy control (CTL), admissions with fluid overload (DHF), NYHA class I-II or NYHA class II-III. Breath samples were collected using the ReCIVA Breath Sampler (Owlstone Medical Ltd) and analyzed using mass spectrometry and gas chromatography. Typical clinical characteristics were documented at the time of exhaled breath collection. Results: Data were obtained on 16 CTL, 21 DHF, 15 NYHA I-II and 10 NYHA II-III (characteristics shown in Table). For the HF groups, DHF, NYHA I-II and NYHA II-III, the %HPEFF were 32, 63 and 63% respectively. Regarding exhaled VOCs, we observed a stepwise increase in VOCs potentially linked to lipid peroxidation or fatty acid metabolism, such as pent-3-en-2-one, 2-pentanone, and 4-heptanone, as disease severity worsened. A similar trend was seen for sulphur containing compounds (methyl propyl sulfide, allyl methyl sulfide and 1(methyl thiol)-1 propene)), potentially providing insight into impaired hepatic or renal clearance in more advanced HF. The level of methyl pyruvate on breath also rose with increasing disease severity, which may reflect altered energy metabolism. Finally, gut microbiome-related VOCs (acetoin, 2,3-butanediol, and butyric anhydride) increased across severity groups, potentially reflecting dysbiosis in advanced disease. Conclusions: In a small pilot study aiming to identify potential exhaled breath biomarkers in HF, we observed significant differences in VOCs across disease severity. These compounds have been linked to lipid peroxidation, energy metabolism, liver and kidney function as well as microbial fermentation and short-chain fatty acid metabolism. Collectively, these data demonstrate the ability of breath omics to potentially stratify disease severity and provide additional biological insights into HF pathophysiology. Larger studies are needed to determine whether a breath biomarker panel could be established to quantify disease severity and predict decompensation risk in HF.

Background: Ventricular tachycardia (VT) is a major contributor to death among ischemic heart disease (IHD) patients. In this systematic review and meta-analysis, we evaluate the efficacy of catheter ablation in patients with ischemic cardiomyopathy. Methods: We conducted a meta-analysis by searching the electronic database up to April 2025. Seven studies, including 1192 patients, were identified. A random-effect model was used to estimate pooled risk ratios (RRs) and 95% confidence intervals (CIs). Trial sequential analysis was conducted to assess sample size adequacy. Results: Among Ischemic heart disease patients with ICDs, VT ablation was associated with a significant reduction in ICD shocks (RR = 0.50, 95% CI [0.34–0.74]), a trend toward reduced VT storm (RR = 0.64, 95% CI [0.40–1.04], p = 0.07), and lower rates of cardiovascular hospitalization (RR = 0.73, 95% CI [0.53–1.01], p = 0.06) compared to ICD alone. However, no significant differences were observed when compared to patients receiving ICD plus antiarrhythmic drugs (AADs). Additionally, VT ablation showed no significant impact on mortality or VT/VF recurrence compared to either ICD alone or ICD with AADs. Trial Sequential Analysis provided conclusive evidence for VT/VF recurrence outcomes, while further data are required for other outcomes. Conclusion: Among ischemic heart disease patients with ICD, VT ablation reduces ICD shocks, VT storm, and cardiovascular hospitalizations compared to ICD-only, but offers no significant advantage over ICD combined with antiarrhythmic drugs. VT ablation does not impact mortality or the recurrence of VT/VF. Trial Sequential Analysis confirmed conclusive evidence for VT/VF recurrence, while additional data is needed for other outcomes.

Background: Atrial arrhythmia recurrence after surgical ablation remains challenging to predict and integrating novel biomarkers may improve risk stratification. Objective: To evaluate whether combining preoperative transthoracic echocardiography (TTE) with artificial intelligence-enabled ECG (AI-ECG) scores enhances prediction of atrial fibrillation/flutter (AF/AFl) recurrence post surgical ablation. Methods: We retrospectively analyzed 1,696 patients undergoing Surgical AF/AFl Ablation between 2006 and 2025 with preoperative TTE and post-blanking ECGs. Clinical variables, TTE indices, and AI-ECG scores (AF probability, ECG-estimated age, HFpEF, LV dysfunction, and aortic stenosis scores) were assessed. The primary outcome was time to AF/AFl recurrence. Univariate/multivariable Cox models and a Random Survival Forest (RSF) model (80:20, training: testing) were developed to identify predictors. Results: Of 1,696 patients (mean age 67.3±10.2 years; 61.7% male) undergoing surgical AF/AFl ablation, 949 (56%) experienced AF/AFl recurrence during a median follow-up of 3.14 years. Patients with recurrence had larger left atria (mean LA area 30.4 vs 24.5 cm 2 , p < 0.001), more diastolic dysfunction (mitral inflow E-wave velocity 1.015 m/s vs 0.896 m/s , p < 0.001), and adverse AI-ECG biomarkers. In multivariable analysis, independent predictors of recurrence included a higher ECG-AF score (p < 1 x 10 -300 ), an older AI-ECG age (p = 0.0002), LA area (p = 0.046), body mass index (p = 0.036), and elevated diastolic blood pressure (HR 1.008 per mmHg, 95% CI 1.002 – 1.014; p = 0.010). The final Cox model achieved a C-index of ~0.67 and stratified patients into risk quartiles with 3-year freedom-from-arrhythmia rates of ~85% (lowest-risk) vs ~43% (highest-risk). An RSF model yielded a slightly higher test C-index (≈0.69), suggesting modest improvement with non-linear modeling. Conclusions: Preoperative AI-ECG biomarkers (AF probability, age discordance) and TTE markers of atrial remodeling independently predicted AF/AFl recurrence after surgical AF/AFl ablation and integration of these metrics improved risk stratification.