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Open AccessJournal ArticleDOI

Cardiovascular and mortality benefits of sodium-glucose co-transporter-2 inhibitors in patients with type 2 diabetes mellitus: CVD-Real Catalonia

TLDR
In this article, the authors compared the risk of several CV outcomes between new users of SGLT2i and other glucose-lowering drugs (oGLDs) in Catalonia, Spain.
Abstract
Evidence from prospective cardiovascular (CV) outcome trials in type 2 diabetes (T2DM) patients supports the use of sodium–glucose co-transporter-2 inhibitors (SGLT2i) to reduce the risk of CV events. In this study, we compared the risk of several CV outcomes between new users of SGLT2i and other glucose-lowering drugs (oGLDs) in Catalonia, Spain. CVD-REAL Catalonia was a retrospective cohort study using real-world data routinely collected between 2013 and 2016. The cohorts of new users of SGLT2i and oGLDs were matched by propensity score on a 1:1 ratio. We compared the incidence rates and hazard ratio (HR) for all-cause death, hospitalization for heart failure, chronic kidney disease, and modified major adverse CV event (MACE; all-cause mortality, myocardial infarction, or stroke). After propensity score matching, 12,917 new users were included in each group. About 27% of users had a previous history of CV disease. In the SGLT2i group, the exposure time was 60% for dapagliflozin, 26% for empagliflozin and 14% for canagliflozin. The use of SGLT2i was associated with a lower risk of heart failure (HR: 0.59; 95% confidence interval [CI] 0.47–0.74; p < 0.001), all-cause death (HR = 0.41; 95% CI 0.31–0.54; p < 0.001), all-cause death or heart failure (HR = 0.55; 95% CI 0.47–0.63; p < 0.001), modified MACE (HR = 0.62; 95% CI 0.52–0.74; p < 0.001), and chronic kidney disease (HR = 0.66; 95% CI 0.54–0.80; p < 0.001). In this large, retrospective observational study of patients with T2DM from a Catalonia, initiation of SGLT-2i was associated with lower risk of mortality, as well as heart failure and CKD.

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Anti-inflammatory role of SGLT2 inhibitors as part of their anti-atherosclerotic activity: Data from basic science and clinical trials

TL;DR: SGLT2i may have a double benefit in terms of glycemic control and control of the atherosclerotic process at a myocardial and vascular level and elaborates on the anti-inflammatory effects of sodium-glucose co-transporter 2 inhibitors on atherosclerosis.
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The Impact of Novel Anti-Diabetic Medications on CV Outcomes: A New Therapeutic Horizon for Diabetic and Non-Diabetic Cardiac Patients

TL;DR: The purpose of this review is to provide the everyday clinician a detailed review of the various agents within each class with regard to their specific characteristics and the effects on MACE and cardiovascular outcomes.
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The Place and Value of Sodium-Glucose Cotransporter 2 Inhibitors in the Evolving Treatment Paradigm for Type 2 Diabetes Mellitus: A Narrative Review

TL;DR: In this paper , the authors provide the latest update from the Improving Diabetes Steering Committee, including perspectives on the value of SGLT2is as cost-effective therapies within the T2DM treatment paradigm, with particular focus on the latest published evidence relating to the prevention or slowing of cardiorenal complications.
Journal ArticleDOI

Prevention of Cardiorenal Complications with Sodium–Glucose Cotransporter Type 2 Inhibitors: A Narrative Review

TL;DR: In this article , the authors summarized and discussed the evidence regarding the mechanisms of action, the efficacy and safety profiles, and the clinical guidelines on the use of the therapeutic class of SGLT2i, highlighting their role in cardiorenal prevention beyond glycemic control.
Journal ArticleDOI

Empagliflozin in the treatment of heart failure and type 2 diabetes mellitus: Evidence from several large clinical trials

TL;DR: The latest and current understanding of the management for patients with established heart failure and type 2 diabetes mellitus is summarized and contemporary treatment options, sodium-glucose co-transporter-2 inhibitor, for these particular populations are presented.
References
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Journal ArticleDOI

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

TL;DR: A unified approach is proposed that makes it possible for researchers to preprocess data with matching and then to apply the best parametric techniques they would have used anyway and this procedure makes parametric models produce more accurate and considerably less model-dependent causal inferences.
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Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies

TL;DR: A meta-analysis of individual records of diabetes, fasting blood glucose concentration, and other risk factors in people without initial vascular disease from studies in the Emerging Risk Factors Collaboration found diabetes confers about a two-fold excess risk for a wide range of vascular diseases, independently from other conventional risk factors.
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