Efficacy and Safety of Triple Therapy With Dulaglutide, SGLT2 Inhibitors, and Finerenone in Chinese Adults With Type 2 Diabetes and Chronic Kidney Disease
NCT07537088
CKD - Chronic Kidney Disease, Chronic Disease
View Trial DetailsNCT Number: NCT07719621
The goal of this study, performed entirely with computer programs, is to learn if using a combination of two drugs works better than using one alone, in the treatment of people with chronic kidney disease and type 2 diabetes mellitus.
The main questions it aims to answer are:
* How many events of heart failure, heart failure hospitalizations, and cardiovascular death happen in each group? * How do serious kidney problems progress in each of the groups?
Researchers will compare reference therapy (finerenone) with a combination of finerenone and empagliflozin.
There will not be human participants in this study. With the help of artificial intelligence, researchers will recreate a large population of people with chronic kidney disease and type 2 diabetes mellitus. Data on their disease, treatment, and laboratory parameters will be based on and simulated using real data from previous clinical trials conducted with real participants.
Trial opening soon.
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Observational
Traditional risk stratification tools, such as the PREVENT (Predicting Risk of cardiovascular disease EVENTs) equations, estimate 10-year risk using static baseline variables. Simply adjusting the UACR input in the PREVENT calculator offers only a crude approximation and does not capture the dynamic, nonlinear effects of ongoing pharmacological treatment, biological hysteresis, and competing risks. To address these limitations, we will develop a high-fidelity digital twin simulation framework powered by the Aeterna Deep computational engine. This in silico trial will project 10-year cardio-renal outcomes for finerenone, empagliflozin, and their combination, while quantifying the mechanistic contribution of UACR reduction relative to other cardio-renal factors. The reference population will be defined according to the CONFIDENCE trial criteria, including adults with chronic kidney disease (eGFR 30-90 ml/min/1.73 m²), type 2 diabetes, and persistent albuminuria (UACR 100-5000 mg/g), receiving maximally tolerated renin-angiotensin system inhibitors. From this base, a synthetic cohort of 100,000 digital twins will be constructed using a four phase instantiation framework designed to ensure biological plausibility. First, marginal distributions for key demographic and clinical variables (age, sex, eGFR, UACR, blood pressure, HbA1c) will be parameterized from validated real-world datasets. Second, nonlinear physiological interdependencies will be reconstructed through multivariate coupling functions to preserve the in vivo covariance structure. Third, individual phenotypes will be generated via high-dimensional stochastic sampling to capture the full range of cardio renal metabolic trajectories. Finally, all instantiated profiles will undergo thermodynamic and biophysical truncation, whereby parameter combinations violating conservation principles or exceeding human homeostatic limits will be excluded and regenerated, ensuring that only physiologically viable digital entities will be retained for downstream analyses.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
The same characteristics of the reference population: CONFIDENCE trial (NCT05254002). In brief:
Exclusion criteria
The same characteristics of the reference population: CONFIDENCE trial (NCT05254002). In brief:
Time frame: From the beginning of the simulation up to 10 years
Composite endpoint including incident heart failure, heart failure hospitalization, and cardiovascular death. Purely atherothrombotic events (myocardial infarction and ischemic stroke) are excluded from this composite variable.
Time frame: From the beginning of the simulation up to 10 years
Composite renal endpoint defined as time to end-stage kidney disease (ESKD), sustained decline in eGFR below 15 ml/min/1.73 m², or an irreversible decline ≥40-57% from baseline.
Time frame: From the beginning of the simulation up to 10 years
Monitoring of non-fatal acute myocardial infarction events as an exploratory atherothrombotic outcome.
Time frame: From the beginning of the simulation up to 10 years
Monitoring of non-fatal ischemic stroke events as an exploratory atherothrombotic outcome.
Time frame: From the beginning of the simulation up to 10 years
Determination of the annual eGFR slope, separating the acute phase of the initial dip from chronic stabilization.
Time frame: From the beginning of the simulation up to 10 years
Analysis of albuminuria stage transition, including regression or progression rates among normo-, micro-, and macroalbuminuria compartments.
Time frame: Baseline to Month 6 and Month 12 and up to 10 years
Relative variation in UACR measured at 6 and 12 months of treatment.
Time frame: From the beginning of the simulation up to 10 years
Simulated trajectory of NT-proBNP levels over time.
Time frame: From the beginning of the simulation up to 10 years
Simulated trajectory of CA-125 levels over time.
Time frame: From the beginning of the simulation up to 10 years
Characterization of the initial hemodynamic eGFR dip induced by SGLT2i cotransport and quantification of long-term glomerular filtration preservation.
Time frame: From the beginning of the simulation up to 10 years
Continuous changes in systolic blood pressure during the study period.
Contact information is provided by the study sponsor or research team.
Aeterna Medical Solutions SL
Other
Implication of Albuminuria Reduction and Other Cardiorenal Effects on The Risk of Heart Failure in Patients With CKD and T2D
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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