Niu Shu, Guan Dawei, Shi Lizheng, Fonseca Vivian, Svensson Mikael, Ali Mohammed K, Sun Yan V, Hu Xin, Su Chang, Yang Carl, Shao Hui
Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Value Health. 2025 May;28(5):762-768. doi: 10.1016/j.jval.2025.01.015. Epub 2025 Feb 6.
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.
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).
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.
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.
本研究旨在量化钠-葡萄糖协同转运蛋白2抑制剂(SGLT2i)和胰高血糖素样肽-1受体激动剂(GLP-1RA)在2型糖尿病患者中超出传统危险因素控制的额外心脏保护作用。这有助于校准“构建、关联、评估和验证结果”(BRAVO)糖尿病模拟模型,以准确捕捉新型糖尿病药物的总体心血管益处。
我们从2023年5月之前完成的4项SGLT2i心血管结局试验(CVOT)和4项GLP-1RA CVOT中提取患者特征和治疗疗效数据。使用BRAVO糖尿病模拟模型,我们将新型药物导致的传统危险因素(即糖化血红蛋白、收缩压、低密度脂蛋白和体重指数)降低转化为心血管结局(即心肌梗死[MI]、中风、充血性心力衰竭[CHF]和死亡率)的风险降低,假设药物相关的风险降低仅由传统危险因素驱动。然后,我们将模拟的危险因素驱动的心血管结局风险降低与试验中观察到的风险降低进行比较,并计算药物特异性增量效益(DIB)。
在考虑传统危险因素控制的心血管效应后,SGLT2i与CHF风险额外降低19%相关(DIB:0.81,95%CI 0.72-0.90)。此外,未校准的模型预测SGLT2i可降低中风风险,但在CVOT中未观察到这一情况。这种差异凸显了需要一个SGLT2i特异性校准器,以使模拟结果与观察到的结果一致。相比之下,在控制传统危险因素后,GLP-1RA未显示出额外的心血管益处。
我们的研究表明,SGLT2i在控制传统危险因素之外可进一步降低CHF风险,但可能提供额外途径来抵消传统危险因素控制对中风风险的总体益处。在传统危险因素控制之外,未观察到GLP-1RA有额外的心血管益处。BRAVO模型校准增强了这些新型抗糖尿病疗法对心血管结局的预测。