📄 Category

cardiovascular medicine

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.

📄 cardiovascular medicine

Artificial intelligence-based ECG reconstruction error as a continuous predictor of all-cause mortality: a multi-cohort retrospective validation study

This multi-cohort retrospective study demonstrates that a self-supervised AI model's ECG reconstruction error serves as a robust, generalizable predictor of all-cause mortality across diverse clinical and population-based settings, offering a more direct measure of cardiac signal deviation than traditional supervised approaches.

Nicolson, A., Pröll, S., Lunelli, R., Blankenburg, H., Pramstaller, P., Fuchsberger, C., Bauer, A., Dlaska, C.2026-07-14
📄 cardiovascular medicine

A systematic review to critically appraise methodological rigour in research on ultra-processed food and cardiovascular disease and hypertension

This systematic review and meta-analysis finds that while higher ultra-processed food consumption is consistently associated with increased risks of cardiovascular disease and hypertension, the observed associations may be attenuated by significant methodological limitations, including inconsistent classification and suboptimal confounder control, highlighting the urgent need for more rigorous study designs.

Mekonnen, T. C., Bitew, Z. A., Dessie, A. M., Tegegne, T., Ushula, T., Dickinson, K., Brady, C., Shi, Z., Adams, R., Wu (…)2026-07-10
📄 cardiovascular medicine

Heterogeneous Treatment Effects in HFpEF: Distinguishing Drug-Specific Response from Prognostic Phenotypes Across Randomized Trials

This study proposes an interaction-based individual treatment effect modeling framework to distinguish drug-specific responses from general prognostic phenotypes in HFpEF, revealing distinct mechanism-specific effect modifiers across four clinical trials that support the need for phenotype-guided therapy and trial design.

Santana, C., Katayama, A., Ballal, A., Sirish, P., Liem, D. A., Bidwell, J. T., Chen, C.-Y., Nuno, M., Ebong, I., Zhang (…)2026-07-09
📄 cardiovascular medicine

Deep Clinical Phenotyping of Perugini Grade 1 on Bone Scintigraphy: An Imaging-Phenotype Association Study

This study redefines Perugini grade 1 on bone scintigraphy not as early amyloidosis but as a high-risk, non-infiltrative cardiometabolic phenotype driven by comorbidities like hypertension and obesity, demonstrating that its adverse prognosis is better explained by these underlying conditions than by amyloid burden.

Spielvogel, C. P., Ning, J., Mascherbauer, K., Kumpf, K., Poledniczek, M., Kersting, D., Rettl, R., Hofer, F., Hengstenb (…)2026-07-01
📄 cardiovascular medicine

Rare-Class Collapse in ECG-Based Ventricular Tachycardia and Fibrillation Detection: A Systematic Benchmark of Class-Imbalance Mitigation from Reweighting to Cascade Classification

This study demonstrates that a two-stage cascade classification approach significantly outperforms standard reweighting and cost-sensitive methods in detecting lethal ventricular arrhythmias from imbalanced ECG data, achieving a 37% reduction in missed lethal events while highlighting the critical need for specialized metrics like missed-lethal-event rate to avoid the "rare-class collapse" phenomenon.

Tiruwa, K. R.2026-06-29
📄 cardiovascular medicine

Screening for Probable Undiagnosed Hypertension in US Adults Using Interpretable Machine Learning: An NHANES 2017-2018 Study

This study utilized interpretable machine learning models trained on eight non-invasive variables from NHANES 2017-2018 data to demonstrate the feasibility, albeit with modest accuracy, of screening for probable undiagnosed hypertension in US adults without requiring laboratory investigations.

Thakur, M., Aacharya, S., Tiwari, P., Sah, R., Yadav, P., Yadav, D., Thakur, B.2026-06-25
📄 cardiovascular medicine

Plasma proteomics reveals clinical and mechanistic heterogeneity among individuals who develop coronary artery disease

This study leverages plasma proteomics in a large UK Biobank cohort to map individuals who develop coronary artery disease onto continuous metabolic gradients, revealing distinct biological mechanisms and significantly improving the prediction of CAD and related comorbidities beyond traditional clinical risk scores.

Yang, Y., Tan, D., Carrasco-Zanini, J., Su, C.-Y., Zhou, S., Koyama, S., Natarajan, P., langenberg, C., Lu, T., Yoshiji (…)2026-06-18
📄 cardiovascular medicine

Prevalence and Correlates of Ideal Cardiovascular Health among Ugandan Adolescents: A Cross-Sectional Study

This cross-sectional study of 1,316 Ugandan adolescents reveals that while 66.8% maintain ideal cardiovascular health, prevalence is significantly lower among females, older adolescents, and those in urban areas, highlighting the need for early, targeted interventions to address these disparities.

Mugenyi, L., Ouma, S., Namakoola, I., Namara, A., Kintu, I. S., Namugera, F. X., Nalubega, S., Nanozi, S., Tumuhairwe, F (…)2026-06-16