📄 Category

cardiovascular medicine

95 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

Renal Outcomes of Staged Versus Concomitant Percutaneous Coronary Intervention and Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis of 7,119 patients found that while staged percutaneous coronary intervention (PCI) prior to transcatheter aortic valve replacement (TAVR) does not significantly reduce the overall risk of contrast-induced acute kidney injury compared to concomitant PCI, it may offer a protective benefit against severe (stage 3/4) kidney injury.

Chanda, V., Bittar, V., Carvalho, P., Garot, P.2026-07-21
📄 cardiovascular medicine

Depressive Symptoms and Prevalent Cardiovascular Disease: A Cross-Sectional Analysis in Port-au-Prince, Haiti

This cross-sectional study in urban Haiti found that moderate-to-severe depressive symptoms are independently associated with a higher prevalence of cardiovascular disease, with the association appearing stronger in women despite limited statistical evidence for sex-based effect modification.

Pierre, D. M., Rasul, R., St. Sauveur, R., Celestin, K., Rouzier, V., Hilaire, E., Deschamps, M. M., Pape, J. W., Yan, L (…)2026-07-18
📄 cardiovascular medicine

Unsupervised phenotype clustering of non-ischemic dilated cardiomyopathy with AI-assisted T1 mapping cardiac MR

This study utilized unsupervised machine learning on multimodal data, including AI-assisted cardiac MRI, to identify three distinct prognostic phenotypes in non-ischemic dilated cardiomyopathy patients, revealing unique remodeling trajectories and risk profiles that could facilitate more individualized management.

Noh, S. A., Kim, H.-J., Park, K. J., Kim, P. K., Bak, M., Park, J., Choi, H.-M., Yoon, Y. E., Cho, G.-Y., Choi, B. W., C (…)2026-07-14
📄 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