Circulating Concentrations of Redox Biomarkers Do Not Improve the Prediction of Adverse Cardiovascular Events in Patients With Type 2 Diabetes Mellitus. Issue 5 (25th February 2018)

• Record Type: Journal Article
• Authors: Cournot, Maxime; Burillo, Elena; Saulnier, Pierre‐Jean; Planesse, Cynthia; Gand, Elise; Rehman, Michaela; Ragot, Stéphanie; Rondeau, Philippe; Catan, Aurélie; Gonthier, Marie‐Paule; Feigerlova, Eva; Meilhac, Olivier; Hadjadj, Samy
• Is Part Of: Journal of the American Heart Association. Volume 7:Issue 5(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-25
• Subjects: biomarkers -- cardiovascular outcome -- cohort study -- diabetes mellitus -- negative study -- oxidative stress; Heart -- Diseases -- Periodicals; Cardiovascular system -- Diseases -- Periodicals; Cerebrovascular disease -- Periodicals; Cardiology -- Periodicals; 616.1
• DOI: 10.1161/JAHA.117.007397
• Languages: English
• ISSNs: 2047-9980

Abstract

Abstract : Background: Despite pathophysiological relevance and promising experimental data, the usefulness of biomarkers of oxidative stress for cardiac risk prediction is unclear. The aim of our study was to investigate the prognostic value of 6 biomarkers exploring different pathways of oxidative stress for predicting adverse cardiovascular outcomes in patients with type 2 diabetes mellitus beyond established risk factors. Methods and Results: The SURDIAGENE (Survie, Diabete de type 2 et Genetique) prospective cohort study consecutively recruited 1468 patients with type 2 diabetes mellitus. Assays were performed at baseline, and incident cases of major adverse cardiovascular events (MACE)—first occurrence of cardiovascular death, nonfatal myocardial infarction, or stroke—were recorded during a median of 64 months. Advanced oxidation protein products, oxidative hemolysis inhibition assay, ischemia‐modified albumin, and total reductive capacity of plasma were not associated with the risk of MACE in univariate analyses. Fluorescent advanced glycation end products and carbonyls were associated with MACE (hazard ratio=1.38 per SD, 95% confidence interval 1.24‐1.54, P <0.001 and hazard ratio=1.15 per SD, 95% confidence interval 1.04‐1.27, P =0.006, respectively) in univariate analysis, but when added to a multivariate predictive model including traditional risk factors for MACE, these markers did not significantly improve c‐statistics or integrated discrimination index of the model. Conclusions: These plasma concentrations of 6 markers, which cover a broad spectrum of oxidative processes, were not significantly associated with MACE occurrence and were not able to improve MACE risk discrimination and classification beyond classical risk factors in type 2 diabetes mellitus patients.