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.

Sympathetic Innervation Modulates Ventricular Repolarization and Arrhythmia Vulnerability After Myocardial Infarction

This study demonstrates that sympathetic modulation via the stellate ganglia dynamically reshapes ventricular arrhythmic vulnerability in chronic post-infarcted substrates by inducing regionally heterogeneous repolarization changes, a mechanism effectively captured by the RVI metric even when conventional stimulation-based inducibility remains unchanged.

Villar-Valero, J., Nebot, L., Soto-Iglesias, D., Falasconi, G., Berruezo, A., Boukens, B. J. D., Trenor, B., Gomez, J. F.2026-04-11📄 cardiovascular medicine

CTA versus TOF-MRA for circle of Willis segmentation: Implications for hemodynamic modelling

This study demonstrates that time-of-flight MRA segmentations, when optimized with signal intensity thresholding against CTA references, yield comparable Circle of Willis morphology and hemodynamic modeling results, supporting their use as a non-invasive alternative to CTA for cerebral perfusion pressure simulations.

Vikström, A., Zarrinkoob, L., Johannesdottir, M., Wahlin, A., Hellström, J., Appelblad, M., Holmlund, P.2026-04-11📄 cardiovascular medicine

Causal Machine Learning for Comparative Effectiveness of GLP-1 RA versus SGLT2i in Heart Failure Using Real-World EHR Data

Using causal machine learning on real-world electronic health records, this study found that GLP-1 receptor agonists are associated with a lower risk of all-cause mortality or heart failure hospitalization compared to SGLT2 inhibitors in heart failure patients, though evidence for individualized treatment selection remains limited.

Han, G. Y., Kalogeropoulos, A. P., Butzin-Dozier, Z., Wong, R., Wang, F.2026-04-07📄 cardiovascular medicine

Association between sleep quality and left ventricular structure in the Southall and Brent REvisited (SABRE) tri-ethnic study

In the tri-ethnic SABRE study, poor sleep quality was significantly associated with increased left ventricular mass in South Asian and African/African-Caribbean participants, but not in Europeans, suggesting ethnic-specific links between sleep and cardiovascular structural changes.

Ghei, E., Chaturvedi, N., Park, C. M., Hughes, A., Garfield, V.2026-04-07📄 cardiovascular medicine

Papillary muscles, ventricular loading, and atrial remodelling as beat-to-beat determinants of functional mitral regurgitation: an exploratory Granger causality study

This exploratory Granger causality study demonstrates that beat-to-beat functional mitral regurgitation is driven by heterogeneous, subtype-specific temporal dynamics, where ventricular loading dominates short-term prediction in ventricular cases while atrial volume and papillary muscle interactions govern longer-term patterns in atrial cases.

Eotvos, C. A., Avram, T., Blendea, E. D., Munteanu, M. I., Bubuianu, A. F., Moldovan, M. P., Hedesiu, P., Lazar, R. D., Zehan, I. G., Sarb, A. D., Coseriu, G., Schiop-Tentea, P., Mocan-Hognogi, D. L. (…)2026-04-05📄 cardiovascular medicine

CorSeg-CineSAX: An Open-Source Deep Learning Framework for Fully Automatic Segmentation of Short-Axis Cine Cardiac MRI Across Multiple Cardiac Diseases

CorSeg-CineSAX is an open-source deep learning framework that utilizes a large-scale, multi-center dataset and an anatomically constrained post-processing pipeline to achieve robust, fully automatic segmentation of cardiac MRI across diverse and previously unseen disease categories with high clinical agreement.

Xu, R., Jiang, S., Zhai, Y., Chen, Y.2026-04-03📄 cardiovascular medicine

Instantaneous Wave-Free Ratio-Guided vs Angiography-Guided Coronary Artery Bypass Grafting: 36-Months Graft Patency and Clinical Outcomes of a Randomized Trial

In a randomized trial, instantaneous wave-free ratio (iFR)-guided coronary artery bypass grafting significantly improved 36-month graft patency for both left internal mammary artery and saphenous vein grafts compared to conventional angiography-guided CABG by optimizing target selection and reducing competitive flow, although major adverse cardiac and cerebrovascular events remained similar between the two groups.

Ordiene, R., Unikas, R., Benetis, R., Jakuska, P., Ciaponiene, I., Ivanauskiene, A., Jankauskas, A., Aldujeli, A., Plisiene, J., Kabosis, T., Punjabi, P. P., Davies, J. E., Krivickas, Z.2026-04-03📄 cardiovascular medicine

Lipidomics Identifies HFpEF Phenogroups and a High-Risk Metabolic Signature - The BElgian and CAnadian MEtabolomics in HFpEF (BECAME-HF) project.

The BECAME-HF project utilized plasma lipidomics to identify distinct, clinically relevant HFpEF phenogroups across Belgian and Canadian cohorts, revealing a specific high-risk metabolic signature characterized by severe organ dysfunction and reduced survival.

Hussin, J., Menghoum, N., Forest, A., Mehanna, P., Tastet, O., Thompson Legault, J., Robillard Frayne, I., Lejeune, S., Vancraeynest, D., Roy, C., Briere, G., Boucher, G., Bertrand, L., Horman, S., Rh (…)2026-04-02📄 cardiovascular medicine

A Novel Strategy for Recurrent Heart Failure: Planned Hospitalization Before Clinical Worsening: A Retrospective Study of the Kurume-HEARTS Program

This retrospective study demonstrates that the Kurume-HEARTS program, which utilizes planned hospitalizations for structured education and management, significantly reduces total hospitalization costs and length of stay per person-year compared to unplanned admissions for patients with recurrent heart failure.

Yanai, T., Shibata, T., Shibao, K., Akagaki, D., Okabe, K., Nohara, S., Takahashi, J., Shimozono, K., Fukumoto, Y.2026-04-02📄 cardiovascular medicine