The aim of this study is to explore the effect of newly added SGLT2I medication or placebo, to standard medication regimen in diabetic patients with documented stable coronary disease. Therefore, in the present study the investigators plan to focus on possible anti-inflammatory and athero-thrombotic protective effects of Dapagliflozin compared to placebo, in secondary prevention population of stable coronary patients with diabetes. Additionally, the investigators will explore NT proBNP dynamics, which related to ventricular filling pressures in this specific population.
Patients with ischemic heart disease and diabetes are at a particularly high risk for the recurrence of cardiovascular events, conversely, certain classes of oral anti-diabetic medications have been shown to cause hypoglycemia with adverse cardiovascular implications 1,2. Diabetes induces complex vascular changes, promoting accelerated atherosclerosis and a hyper-coagulable state, as can be assessed indirectly by a number of markers. Principal perturbations include endothelial dysfunction, increased inflammatory plaque infiltration, adhesion molecule over-expression and adverse effects of circulating fatty acids and advanced glycosylation end-products. Cardiovascular safety of anti-diabetic medications is of paramount importance and has been under recent FDA and EDQM scrutiny. A number of hypoglycemic drugs, especially sulfonylureas, have been associated with significant hypoglycemia and adverse events induced by sympathetic activation. Activation of the sympathetic system has numerous implications, including surges of heart rate, blood pressure but also pro-inflammatory and pro-coagulant effects. This partially explains increased cardiovascular adverse events noted with these drugs. Newer classes of antidiabetic medication have recently shown improved survival outcomes in patients with cardiovascular disease, yet the exact mechanisms of the observed risk reduction are mostly yet to be elucidated 3,4. One possible mechanism is anti-inflammatory effect exerted directly or indirectly by SGLT2I or diuretic effect leading to left ventricular unloading with NT pro BNP level reduction. The aim of this study is to explore the effect of newly added SGLT2I medication or placebo, to standard medication regimen in diabetic patients with documented stable coronary disease. Reduction of inflammatory marker levels is of great clinical importance and has been shown to correlate with reduction in significant clinical events5. Therefore, in the present study we plan to focus on possible anti-inflammatory and athero-thrombotic protective effects of Dapagliflozin compared to placebo, in secondary prevention population of stable coronary patients with diabetes. Additionally, the investigators will explore NT proBNP dynamics, which related to ventricular filling pressures in this specific population. Key representative markers for the present study are chosen in order to correctly represent alterations in: inflammation (hs-CRP, IL(interleukin) -1 beta, IL-6, P-Selectin, TNF-alfa), and LV strain (NT pro BNP). The effect of SGLT2I on the above-mentioned parameters has not been studied in humans. Accordingly, the demonstration of significant improvements in markers of athero-thrombosis and inflammation in high-risk diabetic patients is of great clinical importance and novelty that may be employed for the reduction of major cardiovascular events in this population. Importantly, the effects of SGLT2I therapy will be evaluated in a prospective controlled clinical trial in a closely supervised cardiac rehabilitation setting, which includes lifestyle changes, regular, quantifiable physical activity, and predefined nutritional interventions.
Computer based randomization software will be used in order to randomize eligible consenting subjects to placebo or Dapagliflozin 10 mg treatment using a 1:2 ratio.
Computer based randomization software will be used in order to randomize eligible consenting subjects to placebo or Dapagliflozin 10 mg treatment using a 1:2 ratio.
Sheba Medical Center, Cardiac Rehabilitation Institute
Tel Litwinsky, Israel
Percent reduction in interleukin (IL)-1β levels
Percent reduction in IL-1 β will be calculated as follows:(Baseline IL-1 minus follow-up \[3-month\] IL-1)/Baseline IL1; with value multiplied by 100.
Time frame: 3 months
Percent reduction in additional biomarkers
Additional biomarkers including: IL-1 alpha, IL-8, IL-10, IL-17, tumor necrosis factor (TNF)-alpha, monocyte chemotactic protein (MCP-1) . Percent reduction will be calculated as mentioned above
Time frame: 3 months
Safety from events of clinical hypoglycemia
Events of clinical hypoglycemia are defined as: palpitations, tremor, hunger, sweating and objective measurement of blood glucose ≤ 70 mg/dl
Time frame: 3 Months
Reduction in BMI
Changes in BMI will be calculated according to weight and height measurements at enrollment comparing to its value following 3-month active treatment period.
Time frame: 3 Months
Reduction in HB A1c
Reduction will be calculated by comparing HB A1c value at enrollment to its value following 3-month active treatment period.
Time frame: 3 Months
NTpro BNP
Changes in BNP will be calculated by comparing it's value at enrollment to its value following 3-month active treatment period.
Time frame: 3 Months
MMP-9 percent reduction
Percent reduction will be calculated as mentioned on outcome 1
Time frame: 3 Months
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Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
TRIPLE
Enrollment
61
Percent change in Adiponectin levels
Percent reduction will be calculated as mentioned on outcome 1
Time frame: 3 Months