Fasting Substrate Concentrations Predict Cardiovascular Outcomes in the CANagliflozin cardioVascular Assessment Study (CANVAS)

Author:

Ferrannini Ele1ORCID,Baldi Simona2,Scozzaro Tiziana2,Tsimihodimos Vasilis1,Tesfaye Fisseha3,Shaw Wayne3,Rosenthal Norman3,Figtree Gemma A.4,Neal Bruce456ORCID,Mahaffey Kenneth W.7,Perkovic Vlado5ORCID,Hansen Michael K.3

Affiliation:

1. 1CNR (National Research Council) Institute of Clinical Physiology, Pisa, Italy

2. 2Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

3. 3Janssen Research & Development, LLC, Raritan, NJ

4. 4The George Institute for Global Health, University of New South Wales (UNSW) Sydney, Sydney, Australia

5. 5The Charles Perkins Centre, University of Sydney, Sydney, Australia

6. 6Imperial College London, London, U.K

7. 7Stanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA

Abstract

OBJECTIVE To examine whether the circulating substrate mix may be related to the incidence of heart failure (HF) and cardiovascular (CV) mortality and how it is altered by canagliflozin treatment. RESEARCH DESIGN AND METHODS We measured fasting glucose, free fatty acids (FFA), glycerol, β-hydroxybutyrate, acetoacetate, lactate, and pyruvate concentrations in 3,581 samples from the CANagliflozin cardioVascular Assessment Study (CANVAS) trial at baseline and at 1 and 2 years after randomization. Results were analyzed by univariate and multivariate Cox proportional hazards models. RESULTS Patients in the lowest baseline FFA tertile were more often men with a longer duration of type 2 diabetes (T2D), higher urinary albumin excretion, lower HDL-cholesterol levels, higher history of CV disease (CVD), and higher use of statins and insulin. When all seven metabolites were used as predictors, FFA were inversely associated with incident hospitalized HF (hazard ratio [HR] 0.33 [95% CI 0.21–0.55]), while glycerol was a positive predictor (2.21 [1.45–3.35]). In a model further adjusted for 16 potential confounders, including prior HF and CVD and pharmacologic therapies, FFA remained a significant negative predictor. FFA and glycerol also predicted CV mortality (HR 0.53 [95% CI 0.35–0.81] and 1.81 [1.26–2.58], respectively) and all-cause death (0.50 [0.36–0.70] and 1.64 [1.22–2.18]). When added to these models, background insulin therapy was an independent positive predictor of risk of death. Canagliflozin treatment significantly increased plasma FFA and β-hydroxybutyrate regardless of background antihyperglycemic therapy. CONCLUSIONS A constitutive metabolic setup consisting of higher lipolysis may be beneficial in delaying or preventing hospitalized HF; a further stimulation of lipolysis by canagliflozin may reinforce this influence.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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