Descriptive study of the economic burden among patients with type 2 diabetes mellitus, chronic kidney disease, and chronic kidney disease and type 2 diabetes mellitus in a large US commercially insured population

A cost-utility analysis of adding SGLT2 inhibitors for the management of type 2 diabetes with chronic kidney disease in Thailand

Chronic kidney disease (CKD) in type 2 diabetes (T2D) patients is associated with end-stage renal disease and significant economic burden. While sodium glucose cotransporter-2 inhibitors (SGLT2i) show renal benefits in randomized controlled trials (RCTs), their cost-effectiveness in Thailand remains unclear. This study evaluates the cost-utility of adding SGLT2i (dapagliflozin, empagliflozin, and canagliflozin) to standard of care therapy (SoCT) for T2D patients with CKD in Thailand. A lifetime Markov model assessed economic and clinical outcomes. Data were derived from Thai studies, RCT subgroup analyses, and patient interviews. Sensitivity analysis was performed. Adding SGLT2i increased life expectancy (0.42-0.52 years) and QALYs (3.83- 3.91 vs. 3.50 with SoCT alone), but also increased lifetime costs ($1,275-$1,903). Empagliflozin was cost-effective at a WTP threshold of $4,336 per QALY ($3,386/QALY), while dapagliflozin ($5,783/QALY) and canagliflozin ($4,591/QALY) required price reductions. SGLT2i showed potential cost savings for dialysis and kidney transplantation compared to SoCT alone. Adding SGLT2i to SoCT for T2D and CKD patients increases costs but provides significant clinical benefits. Empagliflozin is cost-effective at a WTP threshold of $4,336/QALY, while dapagliflozin and canagliflozin require price reductions to be cost-effective. However, the analysis solely focuses on renal benefits, excluding other advantages like cardiovascular and heart failure protection.

Omics Studies in CKD: Diagnostic Opportunities and Therapeutic Potential

Omics technologies have significantly advanced the prediction and therapeutic approaches for chronic kidney disease (CKD) by providing comprehensive molecular insights. This is a review of the current state and future prospects of integrating biomarkers into the clinical practice for CKD, aiming to improve patient outcomes by targeted therapeutic interventions. In fact, the integration of genomic, transcriptomic, proteomic, and metabolomic data has enhanced our understanding of CKD pathogenesis and identified novel biomarkers for an early diagnosis and targeted treatment. Advanced computational methods and artificial intelligence (AI) have further refined multi-omics data analysis, leading to more accurate prediction models for disease progression and therapeutic responses. These developments highlight the potential to improve CKD patient care with a precise and individualized treatment plan .

External validation and calibration of risk equations for prediction of diabetic kidney diseases among patients with type 2 diabetes in Taiwan

BACKGROUND

Most existing risk equations for predicting/stratifying individual diabetic kidney disease (DKD) risks were developed using relatively dated data from selective and homogeneous trial populations comprising predominately Caucasian type 2 diabetes (T2D) patients. We seek to adapt risk equations for prediction of DKD progression (microalbuminuria, macroalbuminuria, and renal failure) using empiric data from a real-world population with T2D in Taiwan.

METHODS

Risk equations from three well-known simulation models: UKPDS-OM2, RECODe, and CHIME models, were adapted. Discrimination and calibration were determined using the area under the receiver operating characteristic curve (AUROC), a calibration plot (slope and intercept), and the Greenwood-Nam-D'Agostino (GND) test. Recalibration was performed for unsatisfactory calibration (p-value of GND test < 0.05) by adjusting the baseline hazards of risk equations to address risk variations among patients.

RESULTS

The RECODe equations for microalbuminuria and macroalbuminuria showed moderate discrimination (AUROC: 0.62 and 0.76) but underestimated the event risks (calibration slope > 1). The CHIME equation had the best discrimination for renal failure (AUROCs from CHIME, UKPDS-OM2 and RECODe: 0.77, 0.60 and 0.64, respectively). All three equations overestimated renal failure risk (calibration slope < 1). After rigorous updating, the calibration slope/intercept of the recalibrated RECODe for predicting microalbuminuria (0.87/0.0459) and macroalbuminuria (1.10/0.0004) risks as well as the recalibrated CHIME equation for predicting renal failure risk (0.95/-0.0014) were improved.

CONCLUSIONS

Risk equations for prediction of DKD progression in real-world Taiwanese T2D patients were established, which can be incorporated into a multi-state simulation model to project and differentiate individual DKD risks for supporting timely interventions and health economic research.

Assessing the Renal Outcomes of Semaglutide in Diabetic Kidney Disease: A Systematic Review

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes, posing a significant health burden. Semaglutide, a glucagon-like peptide-1 receptor agonist, has shown promise in mitigating renal outcomes in DKD. This systematic review aimed to evaluate the renal effects of semaglutide in individuals with DKD. A comprehensive literature search identified six eligible studies, including two case reports and four cohorts, from diverse geographic locations. The primary outcomes assessed were changes in estimated glomerular filtration rate (eGFR) and albuminuria. Secondary outcomes included acute kidney injury (AKI) incidence and other renal biomarkers. The impact of semaglutide on eGFR was variable, with some studies reporting decreases and others showing improvements or no significant changes. Albuminuria, however, was more consistently reduced, particularly in patients with macroalbuminuria. Notably, the case reports described semaglutide-associated AKI, including acute interstitial nephritis, highlighting the need for careful monitoring during therapy. Beyond renal outcomes, semaglutide consistently improved glycemic control and promoted weight loss, with generally manageable gastrointestinal side effects. The findings suggest that semaglutide may effectively reduce albuminuria in DKD, potentially slowing disease progression. However, the risk of AKI and the variable impact on eGFR underscore the need for a personalized approach and vigilant monitoring, particularly in patients with advanced CKD. Future large-scale, long-term randomized controlled trials are warranted to definitively assess the renal benefits and risks of semaglutide in DKD.

Impact of Finerenone-Induced Albuminuria Reduction on Chronic Kidney Disease Outcomes in Type 2 Diabetes : A Mediation Analysis

BACKGROUND

In patients with chronic kidney disease (CKD) and type 2 diabetes (T2D), finerenone, a nonsteroidal mineralocorticoid receptor antagonist, reduces cardiovascular and kidney failure outcomes. Finerenone also lowers the urine albumin-to-creatinine ratio (UACR). Whether finerenone-induced change in UACR mediates cardiovascular and kidney failure outcomes is unknown.

OBJECTIVE

To quantify the proportion of kidney and cardiovascular risk reductions seen over a 4-year period mediated by a change in kidney injury, as measured by the change in log UACR between baseline and month 4.

DESIGN

Post hoc mediation analysis using pooled data from 2 phase 3, double-blind trials of finerenone. (ClinicalTrials.gov: NCT02540993 and NCT02545049).

SETTING

Several clinical sites in 48 countries.

PATIENTS

12 512 patients with CKD and T2D.

INTERVENTION

Finerenone and placebo (1:1).

MEASUREMENTS

Separate mediation analyses were done for the composite kidney (kidney failure, sustained ≥57% decrease in estimated glomerular filtration rate from baseline [approximately a doubling of serum creatinine], or kidney disease death) and cardiovascular (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) outcomes.

RESULTS

At baseline, median UACR was 514 mg/g. A 30% or greater reduction in UACR was seen in 3338 (53.2%) patients in the finerenone group and 1684 (27.0%) patients in the placebo group. Reduction in UACR (analyzed as a continuous variable) mediated 84% and 37% of the treatment effect on the kidney and cardiovascular outcomes, respectively. When change in UACR was analyzed as a binary variable (that is, whether the guideline-recommended 30% reduction threshold was met), the proportions mediated for each outcome were 64% and 26%, respectively.

LIMITATION

The current findings are not readily extendable to other drugs.

CONCLUSION

In patients with CKD and T2D, early albuminuria reduction accounted for a large proportion of the treatment effect against CKD progression and a modest proportion of the effect against cardiovascular outcomes.

PRIMARY FUNDING SOURCE

Bayer AG.

Prevalence and predictors of chronic kidney disease among type 2 diabetic patients worldwide, systematic review and meta-analysis

BACKGROUND

Diabetes is a complicated, chronic condition that requires ongoing medical attention as well as multiple risk-reduction measures beyond glucose control. The prevalence of chronic kidney disease (CKD) is highly variable in different parts of the world due to various environmental, ethnic, socioeconomic, and rural-urban differences. Diabetes is the leading cause of CKD. This study aimed to estimate the global prevalence of CKD and its associated factors among type 2 diabetes(T2DM) patients, provide scientific evidence for a better understanding of the burden of CKD among diabetes mellitus type 2 patients, and design interventional strategies.

METHODS

Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was followed for this review and meta-analysis. The electronic databases (Pub Med, Cochrane Library, Google Scholar, and grey literature) were searched to retrieve articles by using keywords. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to assess the quality of studies. The meta-analysis was conducted using STATA 17 software. The Meta logistic regression was computed to present the pooled prevalence and Odds ratio (OR) of the determinate factors with a 95% confidence interval (CI).

RESULTS

In this systematic review and meta-analysis 20 studies were done in 13 different countries. The pooled magnitude of chronic kidney disease among type 2 DM patients was 27% (95% CI 21%, 33%). The prevalence of chronic kidney disease differs across countries, with the maximum in the USA and the lowest in the United Arab Emirates. Patients with CKD have an elevated risk of severe renal and cardiovascular morbidity and mortality. Renin-angiotensin system inhibitors, sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide 1 receptor agonists, and, more recently, non-steroidal mineralocorticoid receptor antagonists are among the medications that have been demonstrated to slow the progression of CKD. In this systematic review and meta-analysis increased age, obesity, having a history of type 2 diabetes mellitus, smoking history, presence of hypertension, and cardiac heart disease were factors significantly associated with the presence of chronic kidney disease among type 2 diabetic patients.

CONCLUSIONS

The prevalence of chronic kidney disease among type 2 diabetes mellitus patients was high based on the included 20 articles. The review reported that old age, hypertension, cardiac disease, smoking, obesity, and duration of diabetes mellitus was predictor variable for chronic kidney disease among type 2 diabetic patients. Therefore, in order to lower the morbidity and mortality from chronic kidney disease among type 2 diabetic patients, it is advised to develop both preventive and curative intervention strategies, such as raising awareness, creating a supportive environment, and prescribing appropriate medication at an early stage.