Impact of canagliflozin on heart stress and outcomes: Pooled insights from CREDENCE and CANVAS.

In individuals with type 2 diabetes with cardio-renal disease but no known heart failure (HF), elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), a marker of heart stress, signals higher risk of HF and cardio-kidney complications. This analysis assesses canagliflozin impact on heart stress and outcomes using age-adjusted NT-proBNP thresholds from two major trials.

This analysis included 5281 participants from the CANVAS and CREDENCE trials without HF at baseline. NT-proBNP was measured at baseline and year 1, with heart stress defined using age-adjusted NT-proBNP thresholds. Outcomes included a primary composite (end-stage kidney disease, doubling of serum creatinine, kidney or cardiovascular death), kidney composite, HF hospitalization, cardiovascular death, all-cause death, and HF hospitalization or cardiovascular death composite. Multivariable Cox models assessed heart stress, outcomes, and canagliflozin effects. At baseline, 45% of participants had heart stress. Heart stress independently predicted increased risks for all outcomes, with the highest risks in those with persistent or rising NT-proBNP at baseline and year 1. Rising NT-proBNP by year 1 was associated with higher risk as well. Canagliflozin significantly reduced risks in individuals with heart stress, including the primary composite (hazard ratio [HR] 0.72, 95% confidence interval [CI] 0.62-0.84), kidney composite (HR 0.65, 95% CI 0.53-0.79), and HF hospitalization (HR 0.68, 95% CI 0.54-0.85). Benefits were less pronounced in those without heart stress.

Age-adjusted NT-proBNP thresholds effectively predict cardio-kidney events in at-risk type 2 diabetes individuals without HF. Canagliflozin offers strong cardiovascular and kidney protection, with the greatest benefits in those with heart stress, emphasizing the need for early identification and intervention.

CANVAS (NCT01032629), CREDENCE (NCT02065791).
Diabetes
Care/Management

Authors

Bayes-Genis Bayes-Genis, Cai Cai, Liu Liu, Pandey Pandey, Pop-Busui Pop-Busui, Hansen Hansen, Januzzi Januzzi
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