An exploration of the heterogeneity in effects of SGLT2 inhibition on cardiovascular and all-cause mortality in the EMPA-REG OUTCOME, CANVAS Program, DECLARE-TIMI 58, and CREDENCE trials

医学 恩帕吉菲 内科学 糖尿病 临床试验 蒂米 2型糖尿病 信任 疾病 荟萃分析 不利影响 心脏病学 心肌梗塞 内分泌学 统计 数学 溶栓
作者
Jie Yu,Zien Zhou,Kenneth W. Mahaffey,David R. Matthews,Brendon L. Neuen,Hiddo J.L. Heerspink,Meg Jardine,Jingwei Li,Vlado Perkovic,Bruce Neal,Clare Arnott
出处
期刊:International Journal of Cardiology [Elsevier]
卷期号:324: 165-172 被引量:7
标识
DOI:10.1016/j.ijcard.2020.09.050
摘要

Abstract

Background

Large-scale outcome trials of sodium glucose co-transporter 2 (SGLT2) inhibitors in patients with type 2 diabetes have identified consistent effects on major adverse cardiovascular events, heart failure, and progression of kidney disease. However, the magnitude of effects on cardiovascular and all-cause death appeared to vary between some of the studies.

Methods

We explored the impact of differences in trial methodologies, participant characteristics, types of deaths, follow-up duration, effects on intermediate markers of risk, and drug selectivity for SGLT2 on the magnitude of the protective effect against fatal events achieved in the 4 trials.

Results

The trial populations differed substantively in the proportions with baseline atherosclerotic cardiovascular disease history (99.2% in EMPA-REG OUTCOME to 40.6% in DECLARE-TIMI 58), and macroalbuminuria (88.0% in CREDENCE to 7.6% in the CANVAS Program). Meta-regression analyses identified no clear effect of these (both P > 0.09) or other participant characteristics on mortality benefits (all P > 0.55). Other differences between the trials (duration, selectivity of the SGLT2 inhibitor, or effects on intermediate markers of risk) also did not explain the heterogeneity in effects on mortality observed (all P > 0.30).

Conclusion

No clear explanation for the statistical evidence of heterogeneity in effects of SGLT2 inhibition on fatal outcomes between the trials could be identified. While the analyses had limited statistical power, these results raise the possibility that the observed variations in treatment effects on fatal outcomes between trials may be at least partly due to chance.

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