Abdelnabi, Mahmoud H.

Key Points Atrial fibrillation after kidney transplantation is common and is associated with poor prognosis. Artificial intelligence applied to 12-lead electrocardiograms pretransplant accurately predicts the risk of new-onset atrial fibrillation in our cohort. High-risk artificial intelligence electrocardiography score was independently associated with increased risk of mortality and allograft failure. Background Incident atrial fibrillation (AF) is common after kidney transplantation (KTx) and is associated with worse clinical outcomes. Artificial intelligence electrocardiography (AI-ECG) algorithms have demonstrated efficacy in predicting risk of new-onset AF in the general population; however, their prognostic value in KTx recipients is relatively unknown. Methods Retrospective analysis was conducted on KTx recipients without AF, with at least one pretransplant ECG between 2011 and 2021 across three tertiary centers in the United States (Mayo Clinic sites in MN, AZ, and FL). A previously validated AI-ECG algorithm estimated the probability of incident AF for each patient. Based on AI-ECG probabilities, patients were categorized into high-risk and low-risk groups, with the optimal AI-ECG score cutoff determined. The incidence of new-onset AF, allograft failure, and mortality was compared between groups. Results Overall, 6246 patients (age 53.5±13.8 years; 58.9% male) were included. Pretransplant AI-ECG probability of AF ≥5% was the optimal cutoff for high risk of incident AF (sensitivity 72%, specificity 62%). High-risk scores were associated with true new-onset AF at 30 days (adjusted hazard ratio [aHR], 2.89; 95% confidence intervals [CI], 2.05 to 4.09; P < 0.001), 3 years (aHR, 2.54; 95% CI, 1.99 to 3.26, P < 0.001), and 5 years post-transplant (aHR, 2.48; 95% CI, 1.99 to 3.09, P < 0.001). High-risk AI-ECG scores were also associated with increased mortality (aHR, 1.56; 95% CI, 1.30 to 1.88, P < 0.001) and overall allograft failure (aHR, 1.50; 95% CI, 1.30 to 1.75, P < 0.001) through the 5-year follow-up. Conclusions This pretransplant AI-ECG parameter identified patients at increased risk of new-onset AF post-KTx and provided prognostic utility. Overall, this easy to obtain tool allows for risk stratification of patients who may benefit from closer monitoring, targeted risk factor modification, and early intervention.

Despite advances in lipid-lowering and antithrombotic therapy, patients with acute coronary syndromes remain at elevated risk for recurrent events due to persistent atherosclerotic inflammation. This review evaluates inflammation as a therapeutic target in secondary prevention and discusses established, investigational, and emerging strategies. Colchicine, now FDA-approved for cardiovascular risk reduction, lowered major adverse cardiovascular events in COLCOT and LoDoCo2. Canakinumab (IL-1β inhibition) reduced recurrent events in proportion to IL-6 and hsCRP suppression, while ziltivekimab (IL-6 inhibition) achieved profound biomarker reductions but remains investigational. Early-phase studies of anakinra (IL-1 receptor antagonist) and dapansutrile (oral NLRP3 inhibitor) showed anti-inflammatory effects in early trials, whereas varespladib and darapladib illustrated the challenges of targeting lipid-associated pathways. Beyond direct immunomodulators, GLP-1 receptor agonists and SGLT2 inhibitors provide both cardioprotective and anti-inflammatory benefits, reinforcing their expanding role post-ACS. Additional emerging avenues include triptolidiol, dasatinib, and BTK or JAK/STAT inhibitors, while novel approaches, such as nanozyme delivery systems and CRISPR-based editing, extend the therapeutic horizon. This review highlights the potential of inflammation-targeted therapies to advance secondary prevention in ACS by integrating current evidence and perspectives on future therapeutic developments.

Abstract Background Inadvertent temporary transvenous pacing (TTVP) of left ventricle (LV) is rare and likely underreported, posing significant embolic risk. We present a case of TTVP with atypical trajectory identified on computed tomography (CT) imaging. Summary A 62-year-old male with metastatic renal cell carcinoma on chemotherapy and bifascicular block presented with symptomatic bradycardia and non–ST-elevation myocardial infarction (NSTEMI), raising concerns for complete heart block on ECG. Intermittent asystole occurred during TTVP placement with appropriate capture. Post-procedure, ECG showed ventricular-paced rhythm with pseudo-right bundle branch block, and chest X-ray suggested lead placement in right ventricle; however, suboptimal echocardiography limited lead visualization. Coronary angiography revealed non-obstructive coronary artery disease. Positron emission tomography–computed tomography (PET-CT), performed to evaluate immune checkpoint inhibitor myocarditis, incidentally noted TTVP wire entering right subclavian artery and traversing to LV. Patient underwent TTVP removal, endovascular repair, and pacemaker implantation; however, course was unfortunately complicated by embolic stroke and haemorrhagic conversion. Discussion Early detection and management of lead malposition remain critical to minimizing complications. Management strategies for inadvertent lead malposition (ILM) depend on duration of implantation, clinical presentation, and associated risks. This case highlights importance of recognizing this high-risk complication, preventive strategies, and evidence-based management. While existing data primarily focus on ILM in permanent devices, further research is needed to elucidate incidence, predictors, and outcomes of ILM in TTVP, particularly in resource-limited settings.