MDOI Convergence Chronicles 110.0572/CON.2026.00546
110.0572/CON.2026.00546
Article

Capturing the Additional Cardiovascular Benefits of SGLT2 Inhibitors and GLP-1 Receptor Agonists Beyond the Control of Traditional Risk Factors in People With Diabetes

Shu Niu, MS, Dawei Guan, MS, MD, Lizheng Shi, PhD, Vivian Fonseca, PhD, MD, Mikael Svensson, PhD, Mohammed K. Ali, MD, MSc, MBA, Yan V. Sun, PhD, Xin Hu, PhD, Chang Su, PhD, Carl Yang, PhD, Hui Shao, PhD, MD 2025 Convergence Chronicles

Abstract

Objectives This study aimed to quantify the additional cardioprotective effects of sodium-glucose cotransporter 2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) beyond the traditional risk factors control in individuals with type 2 diabetes. This helps calibrate the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes simulation model to capture the total cardiovascular benefits of new diabetes medications accurately. Methods We extracted patient characteristics and treatment efficacy data from 4 cardiovascular outcome trials (CVOTs) of SGLT2is and 4 CVOTs of GLP-1RAs completed before May 2023. Using the BRAVO diabetes simulation model, we translated reductions in traditional risk factors (ie, glycated hemoglobin, systolic blood pressure, low-density lipids, and body mass index) from the newer drugs into risk reductions in cardiovascular outcomes (ie, myocardial infarction [MI], stroke, congestive heart failure [CHF], and mortality), assuming that the drug-associated risk reductions were only driven by traditional risk factors. Then, we compared the simulated risk-factor-driven risk reductions of cardiovascular outcomes with observed risk reductions from the trials and calculated drug-specific incremental benefits (DIB). Results After accounting for the cardiovascular effects from traditional risk factors control, SGLT2is was associated with an additional 19% risk reduction in CHF (DIB: 0.81, 95% CI 0.72-0.90). Furthermore, the uncalibrated model predicted a risk reduction in stroke with SGLT2is, which was not observed in CVOTs. This discrepancy highlights the need for an SGLT2i-specific calibrator to align the simulation results with the observed outcomes. In contrast, no additional cardiovascular benefit was associated with GLP-1RAs after controlling for traditional risk factors. Conclusions Our study revealed that SGLT2is could further reduce CHF risk beyond the control of traditional risk factors but may offer additional pathways to offset the overall benefits of traditional risk factor control in stroke risk. No additional cardiovascular benefits were observed for GLP-1RAs beyond traditional risk factor control. The BRAVO model calibration enhances cardiovascular outcome prediction with these newer antidiabetic therapies.

Identifier Metadata

Identifier 110.0572/CON.2026.00546
Canonical mdoi:110.0572/CON.2026.00546
Resolver URL https://mdoi.org/110.0572/CON.2026.00546
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Shu Niu, MS, Dawei Guan, MS, MD, Lizheng Shi, PhD, Vivian Fonseca, PhD, MD, Mikael Svensson, PhD, Mohammed K. Ali, MD, MSc, MBA, Yan V. Sun, PhD, Xin Hu, PhD, Chang Su, PhD, Carl Yang, PhD, Hui Shao, PhD, MD
Year 2025
Depositor Convergence Chronicles Organisation
Prefix 110.0572
Registered July 9, 2026
Updated July 9, 2026
Status Active
Visibility Public

Cite This Identifier

APA 7th Edition

Click to copy

MLA 9th Edition

Click to copy

Chicago 17th Edition

Click to copy

BibTeX

Click to copy

Persistent Identifier

mdoi:110.0572/CON.2026.00546

Click to copy

About MDOI

MDOI identifiers are permanent and unique identifiers assigned to digital objects to ensure long-term access, tracking, and referencing.

  • MDOI provides a permanent identity for digital objects.
  • Each MDOI is unique and points to one specific resource.
  • The prefix, such as 110.XXXX, identifies the registrant.
  • The suffix identifies the exact digital object.
  • MDOI remains stable even when a website URL changes.
  • It helps prevent broken links in digital publishing.
  • It makes academic and digital resources easier to find and cite.
  • MDOI supports proper tracking and management of digital content.
  • It improves the credibility and visibility of published resources.
  • MDOI ensures digital objects remain accessible, traceable, and reliable over time.
CO
Registered by Convergence Chronicles