158 papers
This qualitative study utilized the COM-B and TDF frameworks to analyze interviews with 54 ACHD patients and clinicians, resulting in a novel, theory-driven engagement framework that identifies six interdependent categories of determinants to guide the development of future interventions for improving specialized adult congenital heart disease care.
This cross-sectional study at Mwananyamala Hospital in Tanzania reveals a 32.8% prevalence of hypertension among people living with HIV on antiretroviral therapy, identifying older age, cigarette smoking, and longer duration since HIV diagnosis as significant risk factors while highlighting the need for integrated screening and education to address this growing comorbidity.
The SOLO study demonstrates that promoting single-pill combination therapy through a targeted care improvement project in a disadvantaged, multi-ethnic primary care setting significantly increased treatment initiation and improved blood pressure control compared to usual care.
Using real-world data from 3,432 primary care patients, this study found that statin adherence in the first two years after prescription was significantly higher among older, socioeconomically advantaged individuals with more comorbidities and polypharmacy, while being lower among smokers and those prescribed multiple statin types.
This study utilized the ePBRN dataset to identify and validate six EHR-detectable phenotyping algorithms for statin intolerance, finding a 5.09% prevalence rate and concluding that while these tools offer valuable decision support, they should complement rather than replace clinical judgment and patient engagement in diagnosis.
This study identifies impaired differentiation of capillary endothelial cells driven by CD93-mediated repression of Apelin as a key mechanism in pulmonary hypertension, demonstrating that targeting the Apelin receptor with a biased agonist can restore capillary maturation and improve hemodynamics in both human-derived micro-physiological systems and animal models.
This systematic review and meta-analysis evaluated interventions for managing statin intolerance in patients with primary cardiovascular disease prevention but found no strong evidence that these strategies effectively reduce intolerance or discontinuation, largely due to the limited number of included studies.
Using real-world data from over 4,000 primary care patients, this study identifies gender, employment status, area-based socioeconomic disadvantage, and comorbidities as significant predictors of statin intolerance, though the association with employment status warrants caution due to potential residual confounding.
This prospective case series of eight patients demonstrates that while pulsed field ablation using the Sphere-9 catheter causes transient, reversible reductions in left ventricular stroke volume during lesion delivery, it maintains a favorable safety profile comparable to radiofrequency ablation for ventricular substrate modification.
In a large, long-term cohort study, a pro-inflammatory diet, measured by the Empirical Dietary Inflammatory Potential (EDIP) score, was found to be independently associated with an increased risk of incident atrial fibrillation, particularly among men and individuals with obesity.
This retrospective cohort study using the TriNetX network found that both selective and nonselective alpha-1 adrenergic receptor antagonists are associated with a significantly increased risk of cardiovascular events, including heart failure, myocardial infarction, and stroke, compared to 5-alpha-reductase inhibitors in men with benign prostatic hyperplasia over a 5-year follow-up period.
This study demonstrates that unsupervised machine learning applied to pre-procedural computed tomography angiography features can identify distinct aortic stenosis subphenotypes, particularly in male patients, which significantly improve the prediction of conduction disturbances following transcatheter aortic valve replacement beyond conventional risk factors.
This study demonstrates that an explainable advanced electrocardiography (A-ECG) model, derived from standard 12-lead ECG features, provides modest but externally reproducible discrimination for detecting coronary artery disease on CT angiography and independently predicts future cardiovascular events in a large population cohort.
This study utilizes Mendelian randomization to demonstrate that triglyceride-rich lipoproteins are at least three times more aneurysmogenic than low-density lipoproteins on a per-particle basis, suggesting that therapeutic strategies targeting TRL pathways, particularly APOC3 and LPL, should be prioritized for abdominal aortic aneurysm prevention.
This research demonstrates that a Temporal Convolutional Network (TCN) architecture outperforms other deep learning models in predicting structural heart disease from ECG and clinical data, offering statistically significant, stable, and computationally efficient performance suitable for fair healthcare applications.
This cross-sectional study reveals that EECP-related videos on TikTok generally exhibit low-to-moderate informational quality and limited visibility, with user engagement metrics showing weak or negative correlations with content reliability.
The UK Biobank Cardiac Monitoring Study utilized 14-day patch-based ECG and accelerometer data from 27,658 participants to characterize population-wide heart rhythms and physical activity, revealing significant rates of undiagnosed atrial fibrillation and distinct circadian patterns of arrhythmias linked to activity levels.
This study presents the first peripheral blood transcriptomic map of valvular heart disease-associated atrial fibrillation, revealing a distinct molecular signature characterized by convergent systemic inflammation and epigenetic remodeling that suggests novel therapeutic targets and minimally invasive biomarkers.
This retrospective validation study of the Swedish Registry of Cardiopulmonary Resuscitation (2015–2024) reveals that while unit response times align closely with emergency dispatch data, the registry's total response times are consistently shorter than dispatch records, indicating a systematic underestimation likely due to discrepancies in EMS case number accuracy and timing definitions.
In a blinded comparative study of congenital heart disease illustrations, human-modified images demonstrated superior anatomical accuracy and educational suitability compared to generative AI models, with Gemini NanoBanana outperforming ChatGPT systems yet still falling significantly short of expert-designed standards.