| Literature DB >> 35133551 |
Savina Nodari1, Francesco Fioretti2, Francesco Barilla3.
Abstract
Early epidemiologic studies in type 2 diabetes suggested that the long-term risk of microvascular and macrovascular complications increase progressively as glucose concentrations rise, inspiring the pursuit of near euglycaemia as a means of preventing these complications in type 1 and type 2 diabetes. Evidence emerging over the past decade, however, showed that the aggressive efforts often needed to achieve low HbA1c levels can ultimately lead to worse clinical outcomes, greater risk of severe hypoglycaemia, and higher burden of treatment. The acknowledgment of the disappointing results obtained with therapies aimed exclusively at improving glycaemic control has led in recent years to a substantial paradigm shift in the treatment of the diabetic patient. The results obtained first with GLP-1RAs and more recently even more with SGLT2i on mortality and CV events have made it clear how other mechanisms, beyond the hypoglycaemic effect, are at the basis of the benefits observed in several cardiovascular outcome trials. And as evidence of the great revolution of thought we are experiencing, there is the recognition of gliflozins as drugs for the treatment not only of diabetic patients but also of non-diabetic patients suffering from HF, as reported in the latest ESC/HFA guidelines. Surely, we still have a lot to understand, but it is certain that this is the beginning of a new era.Entities:
Keywords: Cardiovascular risk; Diabetes mellitus; GLP-1RAs; Hyperglicemia; Metabolic syndrome; SGLT2i
Year: 2022 PMID: 35133551 PMCID: PMC8821791 DOI: 10.1007/s10741-021-10203-9
Source DB: PubMed Journal: Heart Fail Rev ISSN: 1382-4147 Impact factor: 4.654
Fig. 1Forest plots for all-cause mortality (a) and for severe hypoglycaemia (b) [13]
Fig. 2Pooled risk ratios (RRs), with 95% CI, by trial for clinical renal end points (doubling of the serum creatinine level and end-stage renal disease [ESRD]) [32]
Fig. 3Type 2 diabetes may be considered as a cardio-renal-metabolic disease that develops through the interaction of a variable mix of genetic and environmental factors that disturb metabolic homeostasis and give rise to cardiovascular (CV), renal and other complications [36]
Cardiovascular events and mortality rates with DPP-4 inhibitors in meta-analyses of phase 2 to 3 randomized controlled trials (excluding the 3 cardiovascular outcome Trials) [48]
| No. of trials | 11 | 20 | 25 | 8 | 40 | 70* | 35a |
| Daily dose, mg | 12.5–25 | 2.5–10 | 100 | 5–10 | 1 or 2 × 50 | variable | variable |
| Patients (n) DPP-4 inhibitors vs all comparators | 4162 vs 1855 | 5701 vs 3455 | 7726 vs 6885 | 3319 vs 1920 | 9599 vs 7847 | 41 959 (total) | 29 600 (total) |
| Primary composite cardiovascular end pointb | 0.635 (0–1.406) | 0.75 (0.46–1.21) | 0.83 (0.53–1.30)c | 0.34 (0.16–0.70) | 0.84 (0.62–1.14) | 0.71 (0.59–0.86); | 0.91 (0.53–1.56) |
| Myocardial infarction | NA | IRR, 0.87 | NA | 0.52 (0.17–1.54) | 0.87 (0.56–1.38) | 0.64 (0.44–0.94); | 0.71 (0.49–1.03) |
| Stroke | NA | IRR, 0.75 | NA | 0.11 (0.02–0.51) | 0.84 (0.47–1.50) | 0.77 (0.48–1.24); | 0.61 (0.37–0.98) |
| Hospitalization for heart failure | NA | IRR, 0.55 | NA | NA | 1.08 (0.68–1.70) | NA | 1.01 (0.53–1.94) |
| Cardiovascular mortality | NA | IRR, 0.61 | NA | 0.74 (0.10–5.33) | 0.77 (0.45–1.31) | 0.67 (0.39–1.14); | 0.91 (0.53–1.56) |
| All-cause mortality | NA | NA | NA | 1.02 (0.23–4.63) | 0.91 (0.77–1.08)d | 0.60 (0.41–0.88); | 0.77 (0.56–1.07) |
Comparators are placebo or active glucose-lowering agents. Results are expressed as hazard ratio or odds ratio (95% confidence intervals) and P value when available
DPP-4 dipeptidyl peptidase-4, HR hazard ratio, IRR incidence rate ratio, NA not available
*Placebo (45 trials)/active (18 trials)/both comparators (7 trials)
aEleven trials vs placebo and 24 trials vs active comparators: no difference between the 2 sets of trials except for stroke: 0.74 (0.25–2.20) vs placebo and 0.58 (0.34–0.99) vs active comparators
bCardiovascular mortality, nonfatal myocardial infarction, and nonfatal stroke
cSitagliptin (n = 5236) vs placebo (n = 4548) only: HR = 1.01 (0.53–1.86)
dAll-cause mortality combined with any cardiovascular event
Cardiovascular outcome trials comparing a DPP-4 inhibitor with a placebo [48]
| DPP-4 Inhibitor Daily Dose* | DPP-4i vs Placebo, N | History of CV disease patients, % | Median follow-up years | Primary CV composite outcomea | Myocardial infarction (fatal or nonfatal) | Stroke (fatal or nonfatal) | CV mortality | All-cause mortality | Hospitalization for heart failure | |
|---|---|---|---|---|---|---|---|---|---|---|
| SAVOR-TIMI | Saxagliptin 5 mg | 8280 vs 8212 | 78 | 2.1 | 1.00 (0.89–1.12) | 0.95 (0.80–1.12) | 1.11 (0.88–1.39) | 1.03 (0.87–1.22) | 1.11 (0.96–1.27) | 1.27 (1.07–1.51) |
| EXAMINE | Alogliptin 25 mg | 2701 vs 2679 | 100 | 1.5 | 0.96 (≤ 1.16)b | 1.08 (0.88–1.33) | 0.95 (≤ 1.14)‡ | 0.85 (0.66–1.10) | 0.88 (0.71–1.09) | 1.07 (0.79–1.46) |
| TECOS | Sitagliptin 100 mg | 7257 vs 7266 | 100 | 3.0 | 0.98 (0.89–1.08) | 0.95 (0.81–1.11) | 0.97 (0.79–1.19) | 1.03 (0.89–1.19) | 1.01 (0.90–1.14) | 1.00 (0.83–1.20) |
| Meta-analyses Xu et al.; Mahmoud et al.; Abbas et al | Saxagliptin 5 mg; Alogliptin 25 mg; Sitagliptin 100 mg | 18,313 vs 18, 230 | 78–100 | 1.5–3.0 | 0.991 (0.929–1.057) | 0.98 (0.88–1.09 | 1.00 (0.86–1.17) | 1.01 (0.91–1.12) | 1.03 (0.95–1.11) | 1.12 (1.00–1.26) |
Results are expressed by hazard ratio or odds ratio (with 95% confidence intervals)
CV cardiovascular, DPP-4 dipeptidyl peptidase-4, EXAMINE Examination of Cardiovascular Outcomes: Alogliptin vs. Standard of Care in Patients With Type 2 Diabetes Mellitus and Acute Coronary Syndrome, SAVOR-TIMI Saxagliptin Assessment of Vascular Outcomes Recorded in Patients With Diabetes Mellitus-Thrombolysis in Myocardial Infarction 53, TECOS Trial Evaluating Cardiovascular Outcomes With Sitagliptin
*Reduction of daily dose if necessary according to estimated glomerular filtration rate
aCardiovascular death, nonfatal myocardial infarction, or nonfatal stroke
bUpper boundary of the 1-sided repeated confidence interval
Fig. 4Risk of MACE and each of its components in the seven CV outcome trials of GLP-1 receptor agonists [38]
Fig. 5Forest plots examining the cardiovascular and kidney outcomes in all patients regardless of the type 2 diabetes and heart failure status [39]. CV, cardiovascular; HHF, hospitalization for heart failure; MI, myocardial infarction; IV, inverse variance
Fig. 6Proposed biological mechanisms and effects of sodium–glucose co-transporter 2 inhibitors [81]
Potential mechanisms through which glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium/glucose co-transporter-2 (SGLT-2) inhibitors exert cardio- renal protective effects beyond glucose-lowering and weight-lowering effects[36]
Mostly decrease ASCVD ↑Vasodilatation (endothelium-mediated?) ↑Natriuresis ( ( Decrease in albuminuria ∆ Intra-renal haemodynamics (mechanisms unclear) | Mostly decrease heart failure ↑Myocardial energy substrate (ketones) ↑Myocardial BCAA catabolism (↑ PDH) ↑Myocardial energetics ( ↑Angiotensin 1–7 (mechanism unclear) Decrease CKD and albuminuria ↑Tubulo-glomerular feedback |
The cardiovascular protection mediated by GLP-1RAs appears to be mostly through a reduction in fatal atherosclerotic events, while the protection mediated by SGLT-2 inhibitors is mostly by a reduction in the onset and progression of heart failure. SGLT-2 inhibitors can reduce the long-term decline in glomerular filtration rate and reduce the onset and progression of albuminuria, while the renal effects of GLP-1RAs are less pronounced and appear to involve intra-renal haemodynamic adjustments that alter filtration
*A decrease in intra-glomerular pressure is mediated by a combination of reduced plasma volume, reduced blood pressure and increased tubulo-glomerular feedback (TGF). TGF is increased by tubular sodium which activates macula densa cells to release ATP which is converted to adenosine. Adenosine causes contraction of afferent glomerular vessels and the reduced intra-glomerular pressure reduces filtration
↑ increase, ↓ decrease, ∆ change