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, Dawei Guan, Lizheng Shi, Vivian Fonseca, Mikael Svensson, Mohammed K Ali, Yan V Sun, Xin Hu, Chang Su, Carl Yang, Hui Shao
{"title":"Capturing the Additional Cardiovascular Benefits of SGLT2 Inhibitors and GLP-1 Receptor Agonists Beyond the Control of Traditional Risk Factors in People with Diabetes.","authors":"Shu Niu, Dawei Guan, Lizheng Shi, Vivian Fonseca, Mikael Svensson, Mohammed K Ali, Yan V Sun, Xin Hu, Chang Su, Carl Yang, Hui Shao","doi":"10.1016/j.jval.2025.01.015","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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 (T2D). This helps calibrate the BRAVO diabetes simulation model to capture the total cardiovascular benefits of new diabetes medications accurately.</p><p><strong>Methods: </strong>We extracted patient characteristics and treatment efficacy data from four cardiovascular outcomes trials (CVOTs) of SGLT2is and four CVOTs of GLP-1RAs completed before May 2023. Using the BRAVO diabetes simulation model, we translated reductions in traditional risk factors (i.e., glycated hemoglobin; systolic blood pressure; low-density lipids; body mass index) from the newer drugs into risk reductions in cardiovascular outcomes (i.e., myocardial infarction (MI), stroke, congestive heart failure (CHF), and mortality) assuming the drug-associated risk reductions are 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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Our study revealed that SGLT2is could further reduce CHF risks beyond the control of traditional risk factors but may offer additional pathways to offset overall benefits from traditional risk factor control in stroke risks. 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.</p>","PeriodicalId":23508,"journal":{"name":"Value in Health","volume":" ","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Value in Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jval.2025.01.015","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: 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 (T2D). This helps calibrate the 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 four cardiovascular outcomes trials (CVOTs) of SGLT2is and four CVOTs of GLP-1RAs completed before May 2023. Using the BRAVO diabetes simulation model, we translated reductions in traditional risk factors (i.e., glycated hemoglobin; systolic blood pressure; low-density lipids; body mass index) from the newer drugs into risk reductions in cardiovascular outcomes (i.e., myocardial infarction (MI), stroke, congestive heart failure (CHF), and mortality) assuming the drug-associated risk reductions are 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.
Conclusion: Our study revealed that SGLT2is could further reduce CHF risks beyond the control of traditional risk factors but may offer additional pathways to offset overall benefits from traditional risk factor control in stroke risks. 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.
期刊介绍:
Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.