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.

Aficamten in Patients With Obstructive Hypertrophic Cardiomyopathy: An Integrated Safety Analysis

This integrated safety analysis of nearly 700 patient-years across four clinical trials demonstrates that aficamten is well tolerated with a favorable safety profile in patients with obstructive hypertrophic cardiomyopathy, showing low rates of clinically relevant systolic dysfunction and atrial fibrillation comparable to placebo or metoprolol.

Masri, A., Maron, M. S., Barriales-Villa, R., Cooper, R. M., Elliott, P. M., Fifer, M. A., Garcia-Pavia, P., Owens, A. T., Solomon, S. D., Tower-Rader, A., Dumitrescu, C., Godown, J., Heitner, S. B. (…)2026-03-12📄 cardiovascular medicine

An Updated Evidence Assessment of the Genetic Causes of Dilated Cardiomyopathy

The ClinGen Dilated Cardiomyopathy Gene Curation Expert Panel's 2024-2025 reassessment significantly expanded the known genetic architecture of DCM by classifying 35 gene-disease relationships as high evidence, including 11 newly identified autosomal recessive genes, thereby providing an updated, evidence-based framework to guide clinical genetic testing and care.

Jordan, E., Grover, P., Parker, P. K., Cowan, J. R., Asatryan, B., Ai, T., Berthold, A., Bronicki, L., Brown, E., Celeghin, R., Edwards, M., Fan, J., James, C. A., Johnson, R., Judge, D., Jurgens, S. (…)2026-03-10📄 cardiovascular medicine

Cross-cohort insights into the association of handgrip strength transitions and burdens with cardiovascular disease risk

This multi-cohort study demonstrates that longitudinal transitions and cumulative burdens of handgrip strength are stronger predictors of incident cardiovascular disease risk than single baseline measurements, particularly in East Asian populations, highlighting the clinical value of monitoring dynamic changes in muscle strength for CVD prevention.

Lin, H., zeng, p.2026-03-09📄 cardiovascular medicine

Risk-benefit profile of edoxaban and warfarin in patients with atrial fibrillation: a comprehensive systematic review and meta-analysis of randomized trials

This systematic review and meta-analysis of five randomized trials indicates that while edoxaban generally offers superior efficacy in reducing stroke and major adverse cardiovascular events compared to warfarin, warfarin remains a critical alternative for specific high-risk subgroups, including patients with prior myocardial infarction, high CHA2DS2-VASc scores, and certain heart failure profiles.

Sohail, M. A., Moghis, A., Imran, M. W., Khalid, M., Nawaz, S. S., Akram, M. H., Khan, A. A.2026-03-07📄 cardiovascular medicine

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data

This paper introduces DIA-PINN, a physics-informed neural network framework that accurately and robustly estimates global intrinsic diastolic properties of the left ventricle from instantaneous pressure-volume data, outperforming traditional optimization methods by providing reliable, initialization-insensitive estimates of stiffness, relaxation, and elastic recoil.

Fernandez Topham, J., Guerrero Hurtado, M., del Alamo, J. C., Bermejo, J., Martinez Legazpi, P.2026-03-06📄 cardiovascular medicine

Impact of antenatal iron deficiency on maternal heart function-A hypothesis-generating translational study

This translational study demonstrates that antenatal iron deficiency impairs postpartum cardiac recovery and increases the risk of peripartum cardiomyopathy by causing myocardial iron depletion and dysregulating cardiometabolic pathways, suggesting iron supplementation as a potential preventive strategy.

Vera-Aviles, M., Kabir, S., Cherubin, S., Christodoulou, M. D., Krasner, S., Frost, A., Heather, L., Aye, C., Arulalagan, A., Samuels, F., Raman, B., Leeson, P., Nair, M., Lakhal-Littleton, S.2026-03-06📄 cardiovascular medicine

Measurement of quality of stroke care with national electronic health records: a prospective cohort study during and after the COVID-19 pandemic

This prospective cohort study demonstrates that linking national electronic health records in England significantly improves stroke case ascertainment and reveals a rising stroke incidence alongside suboptimal antihypertensive prescribing and socioeconomic disparities in "home-time," thereby validating the utility of integrated data for monitoring and enhancing stroke care quality beyond the pandemic era.

Farrell, J., Nolan, J., Lambert, R., Torralbo, A., Petersen, S. E., Hocaoglu, M., Tomlinson, C., Sofat, R., Huang, Q., Kontopantelis, E., James, M., Lessels, S., MacArthur, J. A. L., Wood, A., Whitele (…)2026-03-05📄 cardiovascular medicine

Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic TTR carriers

This study demonstrates that an automated machine learning model applied to routine echocardiographic strain data can successfully identify subtle, pre-symptomatic myocardial abnormalities in individuals carrying the TTR V142I variant, offering a scalable strategy for the early detection of cardiac amyloidosis risk before clinical symptoms appear.

Weigman, A., Zhao, W., Liao, S., Trivieri, M., Maidman, S., Lerakis, S., Kenny, E., Abul-Husn, N. S., Pejaver, V., Kontorovich, A. R.2026-03-05📄 cardiovascular medicine

Remote Patient Monitoring in Heart Failure: Firm Evidence for Mortality Reduction and a Critical Geographic Evidence Gap - Systematic Review, Meta-Analysis, and Trial Sequential Analysis

This systematic review and meta-analysis of 65 randomized trials provides firm evidence that remote patient monitoring significantly reduces all-cause mortality and heart failure hospitalizations, while highlighting a critical evidence gap regarding its efficacy in geographically underserved populations due to a lack of rural/urban subgroup data.

Ferreira, V. M., Ayres Muller, V.2026-03-04📄 cardiovascular medicine