131 papers
Cardiovascular medicine focuses on the heart and blood vessels, exploring how to prevent, diagnose, and treat conditions that affect our circulation. This vital field ranges from understanding high blood pressure and heart failure to investigating the latest breakthroughs in surgical techniques and lifestyle interventions. Because these discoveries directly impact public health, staying informed about emerging research is more important than ever for both specialists and curious readers.
At Gist.Science, we process every new preprint in this category as it appears on medRxiv, ensuring you have immediate access to the latest findings before they undergo formal peer review. For each study, we provide both a plain-language explanation to clarify the core concepts and a detailed technical summary for those seeking deeper scientific context. Below are the latest papers in cardiovascular medicine, organized to help you navigate the most recent developments shaping the future of heart health.
In a retrospective cohort study of over 420,000 patients with obesity, tirzepatide initiation was associated with a modestly lower risk of new-onset heart failure, all-cause mortality, and new-onset systolic heart failure compared to semaglutide over a one-year period.
This systematic review and meta-analysis of 14 studies indicates that macitentan therapy across pulmonary hypertension phenotypes improves specific hemodynamic parameters and reduces mortality, but does not significantly enhance exercise capacity or mean pulmonary arterial pressure, while being associated with higher risks of anemia, peripheral edema, and treatment discontinuation.
This study demonstrates that baseline levels of specific circulating proteins (GP6, ST2, and ALCAM) can stratify older adults with heart failure into subgroups that derive significantly greater functional benefits from a multidomain physical rehabilitation program compared to an attention control group, although these proteins do not appear to mediate the treatment effect.
This retrospective cohort study utilizing TriNetX data demonstrates that glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapy is significantly associated with reduced risks of all-cause mortality and major adverse cardiovascular events in patients with type 2 diabetes and heart failure with reduced ejection fraction (HFrEF).
This cross-sectional study of 237 hypertensive patients in Ndola, Zambia, reveals a suboptimal medication adherence rate of 41.4% driven by a complex interplay of socio-demographic factors, clinical challenges like side effects and comorbidities, and significant health system barriers including drug stock-outs and transport difficulties.
This study demonstrates that high-capacity open-source large language models, particularly Llama 3.3 70B, can accurately and automatically identify complex percutaneous coronary intervention procedures and extract key variables from free-text cardiac catheterization reports, offering a scalable alternative to labor-intensive manual abstraction for cardiovascular research.
In a pragmatic randomized controlled trial, the self-guided digital health application lipodia significantly reduced LDL-cholesterol levels and improved patient activation and quality of life compared to usual care alone in adults with hypercholesterolaemia, demonstrating a scalable solution for delivering guideline-mandated lifestyle support.
This study objectively compares the signal quality and morphological fidelity of four leading smartwatches against a Philips reference standard, revealing that the Apple Watch and Withings ScanWatch offer superior signal-to-noise ratios, the Withings device provides the most stable baseline, and the Apple Watch delivers the most balanced ST-segment classification performance.
This study utilizes cis-Mendelian randomization and colocalization analyses to demonstrate that while cuproptosis and copper-transport genes are upregulated in atherosclerotic plaques, their genetically predicted baseline expression does not causally influence coronary artery disease risk, suggesting their plaque presence is a consequence rather than a driver of the disease.
This paper systematically maps the accuracy-compute trade-off for video-based ejection fraction estimation by evaluating 22 model configurations, revealing that sparse temporal sampling with specific backbones like R3D-18 or R(2+1)D-18 can significantly reduce computational costs while maintaining expert-level accuracy, thereby providing clear deployment guidance for resource-constrained clinical tools.