Citations

This cohort study examines the association of bruton tyrosine kinase inhibitor therapy in B-cell malignant disease with increased risk of pericardial effusion and cardiovascular outcomes.

ABSTRACT Background Prolonged QT interval is common in end‐stage renal disease (ESRD) on dialysis, but its long‐term cardiovascular (CV) implications remain unclear. Methods Using TriNetX network (2010–2024), we identified adults with ESRD on dialysis and categorized them by QTc status. After 1:1 propensity score matching ( n = 3428/group), outcomes (hazard ratio [HR]) were assessed using Cox regression. Results Prolonged QTc (> 500 ms) was associated with higher risk of all‐cause mortality (HR 1.67; p < 0.001), MACEs (HR 1.40; p < 0.001), cardiac arrest (HR 1.75; p < 0.001), sustained ventricular arrhythmia (HR 1.66; p < 0.001), new‐onset atrial fibrillation (HR 1.12; p = 0.01), and acute myocardial infarction (HR 2.19; p < 0.001). Conclusions In ESRD patients on dialysis, prolonged QT interval was independently associated with adverse CV outcomes and mortality.

Abstract Background/Introduction Acute coronary syndrome (ACS) is common among elderly patients and is associated with a high risk of complications. Managing ACS, particularly dual antiplatelet therapy (DAPT), poses challenges due to the increased risk of recurrent hemorrhagic and ischemic events in this population. Purpose This study evaluated cardiovascular outcomes in patients ≥75 years that were initiated on DAPT with aspirin (ASA) plus either ticagrelor or clopidogrel following an acute myocardial infarction (AMI). Methods We used the TriNetX repository to identify adult patients (≥75 years) diagnosed with AMI between January 1, 2011, and December 31, 2021, who subsequently initiated DAPT and were not on anticoagulation. Patients were stratified into two cohorts: ASA + ticagrelor and ASA + clopidogrel. Outcomes assessed included major bleeding, repeat coronary intervention, all-cause mortality, all-cause hospitalizations, stroke, new-onset atrial fibrillation, and pacemaker implantation. Follow-up time was restricted to one year. A 1:1 propensity score matching algorithm was applied using the greedy nearest-neighbor method with a caliper of 0.1 pooled standard deviations to ensure balance (i.e., comorbidities, medications, laboratory values) between the two cohorts. Logistic regression models were used to calculate adjusted odds ratios (aOR), and Cox proportional hazards models estimated hazard ratios (HR). Results Before propensity score matching (PSM), 19,859 patients were in the ASA + ticagrelor cohort, and 47,032 were in the ASA + clopidogrel cohort. Post-PSM, 19,746 patients remained in each cohort, with a mean age of 82.2 years and a mean follow-up duration of 298.77 days for the ASA + ticagrelor cohort and 297.59 days for the ASA + clopidogrel cohort. The ASA + ticagrelor cohort had a higher incidence of major bleeding (aOR 1.19 [95% CI, 1.08–1.31]) and pacemaker implantation (aOR 1.14 [95% CI, 1.02–1.29]) compared to the ASA + clopidogrel cohort. Event-free survival analysis showed lower survival rates for major bleeding (HR 1.18 [95% CI, 1.07–1.30]) and pacemaker implantation (HR 1.14 [95% CI, 1.01–1.28]). No significant differences were observed between cohorts in repeat coronary interventions (aOR 0.95 [95% CI, 0.88–1.03]), atrial fibrillation (aOR 1.03 [95% CI, 0.97–1.08]), all-cause mortality (aOR 1.03 [95% CI, 0.96–1.12]), all-cause hospitalization (aOR 1.01 [95% CI, 0.97–1.05]), or stroke (aOR 0.95 [95% CI, 0.86–1.04]). Conclusions In elderly patients, DAPT with ASA + ticagrelor was associated with higher rates of major bleeding and need for pacemaker compared to ASA + clopidogrel. Given the similar risks of recurrent coronary intervention and mortality between the two regimens, these findings highlight the need for careful consideration when selecting ticagrelor over clopidogrel in this population.

Abstract Introduction/Background Transthyretin amyloidosis (ATTR) is a debilitating disease that leads to progressive cardiac dysfunction. Tafamidis is the gold standard therapy for ATTR cardiomyopathy. In recent observational studies, sodium-glucose cotransporter-2 inhibitors (SGLT2-Is) have demonstrated cardiovascular benefits in ATTR cardiomyopathy, but their role in ATTR cardiomyopathy as combination therapy with tafamidis remains unclear. Purpose To investigate the impact of combination therapy with tafamidis and SGLT2-Is versus just tafamidis in patients with known ATTR cardiomyopathy. Methods This retrospective cohort study utilized data from the TriNetX multinational database. Patients diagnosed with ATTR cardiomyopathy who received tafamidis were identified and stratified into two cohorts based on SGLT2-I use. Outcomes were assessed over three years, including all-cause mortality, all-cause hospitalizations, acute myocardial infarction (AMI), acute heart failure (HF) hospitalizations, ischemic stroke, atrial fibrillation/flutter, end-stage renal disease (ESRD) or requirement for renal replacement therapy, and ventricular tachycardia. Propensity score matching was used to balance both cohorts based on clinical comorbidities, medication use, and laboratory data. Adjusted odds ratios (OR) were calculated by logistic regression models. Results After propensity score matching, 409 patients were included in each cohort with a follow-up duration of 722 days (SD 320.87) for the SGLT2-I cohort and and 755.90 days (SD 363.26) for the non-SGLT2-I cohort. SGLT2-Is were associated with significantly lower rates of all-cause hospitalizations (41.1% vs. 50.9%; OR 0.67 [p = 0.005]) and AMI (6.6% vs. 13.9%, OR 0.44 [p = 0.001]), which persisted by three years (all-cause hospitalizations: 52.1% vs. 61.4%, OR 0.67 [p = 0.006] and myocardial infarction: 11.2% vs. 18.3%, OR 0.56 [p = 0.004]). No significant differences among the two cohorts were observed for all-cause mortality, acute HF hospitalizations, ischemic stroke, atrial fibrillation/flutter, ventricular tachycardia, or ESRD/need for renal replacement therapy. Conclusions SGLT2-Is, in combination with tafamidis, are associated with decreased all-cause hospitalizations and AMI in ATTR cardiomyopathy. While a mortality benefit was not demonstrated, these results depict the magnitude of clinical benefit derived from combination therapy with tafamidis and SGLT2-Is as opposed to prior observational studies which investigated SGLT2-I single therapy

Abstract Background/Introduction Patients with transthyretin cardiac amyloidosis (ATTR-CA) and atrial fibrillation (AF) have increased risk for left atrial thrombi, necessitating anticoagulation therapy if bleeding risk is not prohibitive. Limited data is available comparing the use of direct oral anticoagulants (DOACs) to warfarin in this population. Purpose To evaluate and compare clinical efficacy and safety outcomes of DOACs versus warfarin in patients with ATTR-CA and AF. Methods We conducted a retrospective cohort study using the TriNetX Network, which includes data from over 140 million patients, between 2014 and 2022. Adults (aged ≥18 years) with ATTR-CA and AF were identified. These patients were further categorized into two groups: one cohort which utilized DOACs for oral anticoagulation and the other cohort on warfarin. 1:1 propensity score matching (PSM) was utilized to balance baseline characteristics between the two cohorts. The primary outcome was rate of stroke, with secondary outcomes including all-cause death, all-cause hospitalizations, and acute heart failure exacerbations. Safety outcomes included intracranial hemorrhage, gastrointestinal hemorrhage, and hematuria. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were calculated. Results Among 8,214 adults with ATTR-CA and AF, 5,774 patients were on a DOAC while 2,440 patients were on warfarin. After PSM, 2,425 patients were included in each group. The use of DOACs for AF in patients with ATTR-CA was associated with a significantly lower risk of ischemic stroke compared to warfarin (5.7% versus 7.3%, aOR 0.771 [95% CI, 0.612-0.971]) by the end of the one year follow up. There were no differences in all-cause mortality (19.8% versus 21%, aOR 0.927 [95% CI, 0.806-1.066]), all-cause hospitalizations (19.2% versus 21.6%, aOR 0.863 [95% CI, 0.624-1.195]) or heart failure exacerbations (43.6% versus 46%, aOR 0.906 [95% CI, 0.809-1.015]). Safety outcomes favored DOACs over warfarin, with a lower risk of intracranial hemorrhage (4.5% versus 7.8%, aOR 0.565 [95% CI, 0.444-0.720]), and comparable rates of GI hemorrhage and hematuria. Conclusions DOACs may be safely used in ATTR-CA patients with AF, offering a lower risk of stroke compared to warfarin and a more favorable safety profile. These findings emphasize the potential advantages of DOACs in this population and underline the need for prospective studies to validate these results.

Coronary artery disease (CAD) remains the leading cause of cardiovascular morbidity and mortality worldwide, with plaque composition and morphology being as key determinants of disease progression and clinical outcomes. Accurate plaque characterization is essential for risk stratification and therapeutic decision-making, yet conventional image interpretation is limited by inter-observer variability and time-intensive workflows. Artificial intelligence (AI) models have emerged as a transformative tool for automated coronary plaque analysis across multiple imaging modalities. AI-driven models demonstrate high diagnostic accuracy for plaque detection, segmentation, quantification, and vulnerability assessment. Integration of AI-derived imaging biomarkers with clinical risk scores can further enhance prediction of major adverse cardiovascular events and supports personalized management. These advances position AI-enhanced imaging as a powerful adjunct for both invasive and non-invasive evaluation of CAD. Despite its promise, important barriers to widespread clinical adoption remain, including data heterogeneity, algorithmic bias, limited model transparency, insufficient prospective validation, regulatory challenges, and incomplete integration into clinical workflows. Addressing these challenges will be essential to ensure safe, generalizable, and cost-effective implementation of AI in routine cardiovascular care.

ABSTRACT Background Cardiac amyloidosis (CA) is frequently complicated by atrial fibrillation (AF), yet outcomes after left atrial appendage occlusion (LAAO) in this population remain poorly defined. Methods We conducted a retrospective TriNetX study of adults with AF undergoing LAAO, comparing patients with and without CA after 1:1 propensity matching. Outcomes were assessed using Kaplan–Meier analyses and Cox regression. Results Among 532 matched pairs, mortality and major adverse cardiovascular events were similar between groups, whereas major bleeding was higher in CA (HR 1.90). Conclusions LAAO yields comparable ischemic outcomes in CA, though bleeding risk is increased.

Heart failure (HF) remains a major cause of morbidity and mortality worldwide, with its prevalence continuing to rise due to an aging population and the increasing burden of cardiometabolic diseases. Advances in understanding HF pathophysiology—neurohormonal, inflammatory, and metabolic mechanisms—have led to significant improvements in diagnosis and management, emphasizing earlier detection and patient-centered approaches. Novel biomarkers have the potential to enhance risk assessment beyond traditional natriuretic peptides. Imaging advances can enhance structural and functional assessment, enabling more accurate phenotyping, disease characterization, and risk stratification. Recent advances and real-world data have been used to implement and optimize guideline-directed medical therapy (GDMT) for HF to reduce HF hospitalizations and cardiovascular mortality across the spectrum of HF etiologies. Adjunctive therapies are reserved for select patients with persistent symptoms or high-risk features despite optimal GDMT. Device- and transcatheter-based interventions include established and emerging technologies that address persistent symptoms, structural abnormalities, and hemodynamic abnormalities despite optimal GDMT, thereby expanding treatment options for high-risk patients. Collectively, these advancements highlight a paradigm shift toward precise, personalized approaches to HF management, thereby improving long-term outcomes across the spectrum of HF etiologies.

Abstract Introduction Cardiovascular disease (CVD) is the leading cause of death among patients with kidney failure on dialysis. Social determinants of health may worsen this risk but are seldom incorporated into prognostic models. ICD-10 Z-codes provide standardized documentation of social determinants of health, yet their prognostic value in dialysis populations remains uncertain. This study examined whether Z-coded social determinants of health are associated with adverse cardiovascular outcomes and mortality among patients receiving dialysis for kidney failure. Methods A retrospective cohort study was conducted using the TriNetX Research Network (2010–2024), encompassing de-identified data from 103 institutions. Adults with kidney failure on chronic dialysis were stratified by the presence of ICD-10 Z-codes (Z55–Z65). Propensity score matching (1:1) balanced demographics, comorbidities, medications, and laboratory values. Primary outcomes were all-cause mortality and hospitalization; secondary outcomes included acute heart failure, myocardial infarction, stroke, cardiac arrest, bradyarrhythmias, and ventricular tachycardia. Results After matching, mean age was 62 years, and 42.4% were female in the Z-code cohort versus 41.2% in controls. Over one year, mortality occurred in 12.5% versus 10.9% (hazard ratio [HR], 1.22; 95% confidence interval [CI], 1.15–1.29) and all-cause hospitalizations in 57.3% versus 53.1% (HR, 1.22; 95% CI, 1.19–1.26). Cardiovascular complications were consistently higher in Z-coded patients, including heart failure (24.3% vs 20.5%; HR, 1.29), myocardial infarction (8.0% vs 7.1%; HR, 1.19), stroke (6.6% vs 6.2%; HR, 1.13), cardiac arrest (3.8% vs 3.1%; HR, 1.29), and bradyarrhythmias (6.9% vs 5.5%; HR, 1.33). Discussion Among patients with kidney failure, documented Z-coded social risk factors were associated with greater mortality and cardiovascular morbidity. Incorporating social determinants of health documentation into nephrology care may improve risk stratification and inform targeted interventions.