Modifiability of Composite Cardiovascular Risk Associated With Chronic Kidney Disease in Type 2 Diabetes With Finerenone

High levels of high-density lipoprotein cholesterol may increase the risk of diabetic kidney disease in patients with type 2 diabetes

Studies have indicated that low high-density lipoprotein cholesterol (HDL-C) level is an important risk factor for diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D). However, whether higher HDL-C levels decrease the risk of developing DKD remains unclear. This study aimed to clarify the relationship between HDL-C levels and DKD risk in individuals with T2D in China. In total, 936 patients with T2D were divided into DKD and non-DKD groups. The association between HDL-C levels and DKD risk was evaluated using logistic regression analysis and restricted cubic spline curves adjusted for potential confounders. Threshold effect analysis of HDL-C for DKD risk was also performed. Higher HDL-C levels did not consistently decrease the DKD risk. Furthermore, a nonlinear association with threshold interval effects between HDL-C levels and the incidence of DKD was observed. Patients with HDL-C ≤ 0.94 mmol/L or HDL-C > 1.54 mmol/L had significantly higher DKD risk after adjusting for confounding factors. Interestingly, the association between high HDL-C levels and increased DKD risk was more significant in women. A U-shaped association between HDL-C levels and DKD risk was observed; therefore, low and high HDL-C levels may increase the DKD risk in patients with T2D.

Evaluation of Cardiovascular Disease Risk in Patients with Type 2 Diabetes Mellitus Using Clinical Laboratory Markers

Background: Cardiovascular diseases (CVD) are the main cause of death in the population with diabetes mellitus. This study purposed to determine clinical laboratory markers that might be correlated with the risk of CVD in individuals with type 2 diabetes mellitus (T2DM). Methods: Using data from the Clinical Center of the University of Debrecen from 2016 to 2020, we assessed cardiovascular risk in 5593 individuals with T2DM over a five-year follow-up period. There were 347 new cases of acute myocardial infarction (AMI) and stroke during the period. Following the stratification of these individuals into two groups according to the diagnosis of these CVDs until 2020, the risk of these CVDs was assessed through the utilization of the Chi-square test and Cox proportional hazards regression. Results: The findings of the Cox proportional hazards regression model showed that the number of HbA1C measurements per year (HR = 0.46, 95% CI 0.31-0.7), decreased levels of estimated glomerular filtration rate (eGFR) (HR = 1.6, 95% CI 1.04-2.47), and elevated triglyceride levels (HR = 1.56, 95% CI 1.06-2.29) were correlated with CVD in patients with T2DM. The area under the curve (AUC) was increased from 0.557 (95% CI 0.531-0.582) to 0.628 (95% CI 0.584-0.671) after the inclusion of the laboratory variables into the model showing improved discrimination for AMI and stroke. Conclusions: These findings indicated that eGFR, triglyceride, and the number of HbA1C per year are correlated with AMI and stroke in patients with T2DM.

Effects of finerenone and glucagon-like peptide 1 receptor agonists on cardiovascular and renal outcomes in type 2 diabetes mellitus: a systematic review and meta-analysis

OBJECTIVE

To assess the effects of finerenone and glucagon-like peptide 1 receptor agonists (GLP1-RA) on cardiovascular and renal outcomes in patients with type 2 diabetes mellitus (T2DM), and the relative cardiovascular benefits in patients with or without established atherosclerotic cardiovascular disease for different outcomes with these classes of drugs.

METHODS

We searched PubMed, the Cochrane Library, and Embase from January 1, 2000, to December 30, 2022, to identify randomized controlled trials. The primary outcomes were the composite of nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death (MACE); hospitalization for heart failure (HHF); and a composite of renal outcomes. The results were reported as hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

In total, we identified 11 trials and 73,927 participants, 13,847 (18.7%) in finerenone trials and 60,080 (81.3%) in GLP1-RA trials. Finerenone reduced the risk of MACE by 13% (HR, 0.87; 95% CI, 0.79-0.95; P = 0.003), while GLP1-RA reduced the risk in a similar magnitude by 13% (HR, 0.87; 95% CI, 0.83-0.92; P < 0.001). For both drug classes, the effect on lowering the risk of MACE was restricted to approximately 14% in patients with established atherosclerotic cardiovascular disease (HR, 0.86; 95% CI, 0.82-0.90; P < 0.001), whereas no effect was observed in patients without established atherosclerotic cardiovascular disease (HR, 0.93; 95% CI, 0.85-1.02; P = 0.12). GLP1-RA reduced myocardial infarction, stroke and cardiovascular death more than finerenone (which appeared to have no effect). Only finerenone was beneficial for reducing the risk of HHF (HR, 0.78; 95% CI, 0.66-0.92; P = 0.003). Both finerenone (HR, 0.84; 95% CI, 0.77-0.92; P < 0.001) and GLP1-RA (HR, 0.81; 95% CI, 0.76-0.86; P < 0.001) reduced the risk of kidney disease progression, including macroalbuminuria, and finerenone was superior to GLP1-RA in delaying deterioration of kidney function.

CONCLUSIONS

Finerenone and GLP1-RA lead to a risk reduction in MACE to a similar degree in patients with established atherosclerotic cardiovascular disease. For both drug classes, the effect on lowering the risk of progression of kidney disease was also in a similar magnitude in patients with T2DM, whereas only finerenone had a significant protective effect against HHF. Treatment decisions for patients with T2DM should consider the clinical benefit profiles of each drug.

Optimization of guideline-directed medical therapies in patients with diabetes and chronic kidney disease

Diabetes is the leading cause of chronic kidney disease (CKD) and kidney failure worldwide. CKD frequently coexists with heart failure and atherosclerotic cardiovascular disease in the broader context of cardio-kidney-metabolic syndrome. Diabetes and CKD are associated with increased risk of all-cause and cardiovascular death as well as decreased quality of life. The role of metabolic and hemodynamic abnormalities has long been recognized as an important contributor to the pathogenesis and progression of CKD in diabetes, while a more recent and growing body of evidence supports activation of both systemic and local inflammation as important contributors. Current guidelines recommend therapies targeting pathomechanisms of CKD in addition to management of traditional risk factors such as hyperglycemia and hypertension. Sodium-glucose cotransporter-2 inhibitors are recommended for treatment of patients with CKD and type 2 diabetes (T2D) if eGFR is ≥20 ml/min/173 m2 on a background of renin-angiotensin system inhibition. For patients with T2D, CKD, and atherosclerotic cardiovascular disease, a glucagon-like peptide-1 receptor agonist is recommended as additional risk-based therapy. A non-steroidal mineralocorticoid receptor antagonist is also recommended as additional risk-based therapy for persistent albuminuria in patients with T2D already treated with renin-angiotensin system inhibition. Implementation of guideline-directed medical therapies is challenging in the face of rapidly accumulating knowledge, high cost of medications, and lack of infrastructure for optimal healthcare delivery. Furthermore, studies of new therapies have focused on T2D and CKD. Clinical trials are now planned to inform the role of these therapies in people with type 1 diabetes (T1D) and CKD.

Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk

With the rising incidence of heart failure (HF) and increasing burden of morbidity, mortality, and healthcare expenditures, primary prevention of HF targeting individuals in at-risk HF (Stage A) and pre-HF (Stage B) Stages has become increasingly important with the goal to decrease progression to symptomatic (Stage C) HF. Identification of risk based on traditional risk factors (e.g., cardiovascular health which can be assessed with the American Heart Association's Life's Essential 8 framework), adverse social determinants of health, inherited risk of cardiomyopathies, and identification of risk-enhancing factors, such as patients with viral disease, exposure to cardiotoxic chemotherapy, and history of adverse pregnancy outcomes should be the first step in evaluation for HF risk. Next, use of guideline-endorsed risk prediction tools such as Pooled Cohort Equations to Prevent Heart Failure provide quantification of absolute risk of HF based in traditional risk factors. Risk reduction through counseling on traditional risk factors is a core focus of implementation of prevention and may include the use of novel therapeutics that target specific pathways to reduce risk of HF, such as mineralocorticoid receptor agonists (e.g., fineronone), angiotensin-receptor/neprolysin inhibitors, and sodium glucose co-transporter-2 inhibitors. These interventions may be limited in at-risk populations who experience adverse social determinants and/or individuals who reside in rural areas. Thus, strategies like telemedicine may improve access to preventive care. Gaps in the current knowledge base for risk-based prevention of HF are highlighted to outline future research that may target approaches for risk assessment and risk-based prevention with the use of artificial intelligence, genomics-enhanced strategies, and pragmatic trials to develop a guideline-directed medical therapy approach to reduce risk among individuals with Stage A and Stage B HF.