Renal Targeted Therapies of Antihypertensive and Cardiovascular Drugs for Patients With Stages 3 Through 5d Kidney Disease

Overview of the safety, efficiency, and potential mechanisms of finerenone for diabetic kidney diseases

Diabetic kidney disease (DKD) is a common disorder with numerous severe clinical implications. Due to a high level of fibrosis and inflammation that contributes to renal and cardiovascular disease (CVD), existing treatments have not effectively mitigated residual risk for patients with DKD. Excess activation of mineralocorticoid receptors (MRs) plays a significant role in the progression of renal and CVD, mostly by stimulating fibrosis and inflammation. However, the application of traditional steroidal MR antagonists (MRAs) to DKD has been limited by adverse events. Finerenone (FIN), a third-generation non-steroidal selective MRA, has revealed anti-fibrotic and anti-inflammatory effects in pre-clinical studies. Current clinical trials, such as FIDELIO-DKD and FIGARO-DKD and their combined analysis FIDELITY, have elucidated that FIN reduces the kidney and CV composite outcomes and risk of hyperkalemia compared to traditional steroidal MRAs in patients with DKD. As a result, FIN should be regarded as one of the mainstays of treatment for patients with DKD. In this review, the safety, efficiency, and potential mechanisms of FIN treatment on the renal system in patients with DKD is reviewed.

Mineralocorticoid Receptor Antagonists in the Treatment of Diabetic Kidney Disease: Their Application in the Era of SGLT2 Inhibitors and GLP-1 Receptor Agonists

PURPOSE OF REVIEW

This review focuses on new clinical data involving a novel class of drugs, nonsteroidal mineralocorticoid receptor antagonists (NS-MRAs), specifically, finerenone and its effects on cardiovascular and diabetic kidney disease outcomes.

RECENT FINDINGS

NS-MRAs are a novel class of agents for treating diabetic kidney disease (DKD). While they are chemically and pharmacologically distinct from steroidal MRAs (spironolactone, eplerenone), they effectively inhibit the MR receptor differently. Inhibition of MR receptor activation reduces inflammatory and profibrotic pathways involving the cardiorenal/vascular systems. Small diabetic kidney disease (DKD) clinical studies demonstrate that steroidal MRAs reduce albuminuria relative to placebo, although hyperkalemia is a major adverse event that has precluded large outcome trials. The NS-MRA, finerenone, demonstrated slowed progression of DKD and reduction of cardiovascular death primarily driven by reduced heart failure incidence in two separate randomized controlled clinical trials (FIDELIO and FIGARO). Use of NS-MRAs, therefore, provides a third "pillar of therapy" to reduce cardiorenal events added to blockers of the renin-angiotensin system and SGLT2 inhibitors. If the pending outcome trial, FLOW, is positive, potentially, GLP1-RAs may also be part of this "pillar" structure.

Mineralocorticoid Receptor Antagonists-Evidence for Kidney Protection, Trials With Novel Agents

The area of aldosterone blockade has exploded in the last decade with the development of four new compounds of a different class referred to as nonsteroidal mineralocorticoid receptor antagonists (MRAs). Their chemistry and clinical charatcteristics are distinctly different from their steroidal cousins. Apart from blocking aldosterone activity, albeit in a different way than the steroidal MRAs, they have much less blood pressure (BP) effects and are better tolerated. The spectrum of nonsteroidal MRAs includes one agent with significant BP reduction, KBP-5074, to agents with minimal BP effects yet have demonstrated significant cardiorenal risk reduction in diabetic kidney disease, finerenone. The paper reviews the development and pharmacology of these different agents and tries to provide a perspective as to their place in the spectrum of aldosterone excess disorders.

Retrospective Study on the Influencing Factors and Prediction of Hospitalization Expenses for Chronic Renal Failure in China Based on Random Forest and LASSO Regression

Aim: With the improvement in people's living standards, the incidence of chronic renal failure (CRF) is increasing annually. The increase in the number of patients with CRF has significantly increased pressure on China's medical budget. Predicting hospitalization expenses for CRF can provide guidance for effective allocation and control of medical costs. The purpose of this study was to use the random forest (RF) method and least absolute shrinkage and selection operator (LASSO) regression to predict personal hospitalization expenses of hospitalized patients with CRF and to evaluate related influencing factors.

Methods: The data set was collected from the first page of data of the medical records of three tertiary first-class hospitals for the whole year of 2016. Factors influencing hospitalization expenses for CRF were analyzed. Random forest and least absolute shrinkage and selection operator regression models were used to establish a prediction model for the hospitalization expenses of patients with CRF, and comparisons and evaluations were carried out.

Results: For CRF inpatients, statistically significant differences in hospitalization expenses were found for major procedures, medical payment method, hospitalization frequency, length of stay, number of other diagnoses, and number of procedures. The R² of LASSO regression model and RF regression model are 0.6992 and 0.7946, respectively. The mean absolute error (MAE) and root mean square error (RMSE) of the LASSO regression model were 0.0268 and 0.043, respectively, and the MAE and RMSE of the RF prediction model were 0.0171 and 0.0355, respectively. In the RF model, and the weight of length of stay was the highest (0.730).

Conclusions: The hospitalization expenses of patients with CRF are most affected by length of stay. The RF prediction model is superior to the LASSO regression model and can be used to predict the hospitalization expenses of patients with CRF. Health administration departments may consider formulating accurate individualized hospitalization expense reimbursement mechanisms accordingly.

Non-steroidal mineralocorticoid antagonists: Prospects for renoprotection in diabetic kidney disease

Diabetic kidney disease (DKD) is the major cause of kidney failure in the world and the combination of DKD and diabetes mellitus contributes to an additive incidence of worsening cardiovascular mortality rates. Angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs) remain the mainstay of therapy and have reduced kidney function decline in DKD from 8 to 10 to ~4 mL/min/y. Sodium-glucose co-transporter-2 (SGLT2) inhibitors, in the presence of ACE inhibitors or ARB agents, further slowdown DKD progression by an additional 58% to 1.8 mL/min/y. Moreover, SGLT2 inhibitors reduce heart failure risk. However, the normal rate of kidney function decline in humans is between 0.7 and 0.9 mL/min/y, hence, there is still room for improvement. Mineralocorticoid receptor antagonists (MRAs) already have a track record of benefit in heart failure risk reduction, and efficacy in reducing albuminuria and treating resistant hypertension; however hyperkalaemia and other adverse effects preclude their routine use in DKD. Novel non-steroidal MRAs offer a reduced risk of hyperkalaemia, and yet have many benefits that they share with their steroidal cousins. This paper reviews the data for both steroidal and non-steroidal MRAs in DKD and presents some data from soon-to-be-completed ongoing renal and cardiovascular outcome trials in DKD.

What is the impact of human leukocyte antigen mismatching on graft survival and mortality in renal transplantation? A meta-analysis of 23 cohort studies involving 486,608 recipients

Background

The magnitude effects of human leukocyte antigen (HLA) mismatching on post-transplant outcomes of kidney transplantation remain controversial. We aim to quantitatively assess the associations of HLA mismatching with graft survival and mortality in adult kidney transplantation.

Methods

We searched PubMed, EMBASE and the Cochrane Library from their inception to December, 2016. Priori clinical outcomes were overall graft failure, death-censored graft failure and all-cause mortality.

Results

A total of 23 cohort studies covering 486,608 recipients were selected. HLA per mismatch was significant associated with increased risks of overall graft failure (hazard ratio (HR), 1.06; 95% confidence interval (CI), 1.05–1.07), death-censored graft failure (HR: 1.09; 95% CI 1.06–1.12) and all-cause mortality (HR: 1.04; 95% CI: 1.02–1.07). Besides, HLA-DR mismatches were significant associated with worse overall graft survival (HR: 1.12, 95% CI: 1.05–1.21). For HLA-A locus, the association was insignificant (HR: 1.06; 95% CI: 0.98–1.14). We observed no significant association between HLA-B locus and overall graft failure (HR: 1.01; 95% CI: 0.90–1.15). In subgroup analyses, we found recipient sample size and ethnicity maybe the potential sources of heterogeneity.

Conclusions

HLA mismatching was still a critical prognostic factor that affects graft and recipient survival. HLA-DR mismatching has a substantial impact on recipient’s graft survival. HLA-A mismatching has minor but insignificant impact on graft survival outcomes.

Electronic supplementary material

The online version of this article (10.1186/s12882-018-0908-3) contains supplementary material, which is available to authorized users.

Drugs and the Kidneys: Clinical Pharmacology Perspectives

The focus of this edition of Clinical Pharmacolgoy & Therapeutics (CPT) is on drugs and renal function and will not include a detailed discussion of kidney disease and its treatment. It is well recognized that drugs affect the kidneys in different ways, while kidney disease impacts drug metabolism and response. It is impossible to underestimate the value of the kidneys to man in health and disease, from regulation of fluid and electrolyte balance to participating in drug metabolism and transport. Additionally, the kidneys serve as targets for drugs used to treat cardiovascular (CV) diseases including hypertension and heart failure, metabolic diseases such as diabetes mellitus and obesity, chronic kidney disease (CKD), as well as playing a role in the regulation of several hormones. Kidney damage may be distinguished from changes in kidney function using biomarkers, as discussed in some detail in this issue.