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NCT Number: NCT07719621

Evaluation of the Risk of Heart Failure in Patients With Chronic Kidney Disease and Type 2 Diabetes Mellitus

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.

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Key information

About this study

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.

Who can participate

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:

  • Patients with chronic kidney disease (eGFR 30-90 ml/min/1.73 m²)
  • Persistent albuminuria (UACR 100-5000 mg/g)
  • Type 2 diabetes mellitus (T2D) under stable blockade of the renin-angiotensin system (ACEi/ARB)

Exclusion criteria

The same characteristics of the reference population: CONFIDENCE trial (NCT05254002). In brief:

  • Participants with type 1 diabetes (T1D).
  • Participant with hepatic insufficiency classified as Child-Pugh C.
  • Participants currently treated or who were treated with Finerenone (Kerendia©) within 8 weeks prior to the screening visit.

Treatment and study plan

Primary outcomes

  1. Time to First Occurrence of Incident Heart Failure, Heart Failure Hospitalization, or Cardiovascular Death

    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.

  2. Time to Onset of End-Stage Kidney Disease, Sustained eGFR <15 ml/min/1.73 m², or ≥40-57% Decline in eGFR from Baseline

    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.

Secondary outcomes

  1. Number of Participants with Non-fatal Acute Myocardial Infarction

    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.

  2. Number of Participants with Non-fatal Ischemic Stroke

    Time frame: From the beginning of the simulation up to 10 years

    Monitoring of non-fatal ischemic stroke events as an exploratory atherothrombotic outcome.

  3. Annual Rate of Change in Estimated Glomerular Filtration Rate (eGFR) (ml/min/1.73 m²/year)

    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.

  4. Proportion of Participants with Transition Between Albuminuria Stages (Normo-, Micro-, Macroalbuminuria)

    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.

Other outcomes

  1. Percent Change from Baseline in Urinary Albumin-to-Creatinine Ratio (UACR) (%)

    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.

  2. Change from Baseline in NT-proBNP Levels (pg/mL)

    Time frame: From the beginning of the simulation up to 10 years

    Simulated trajectory of NT-proBNP levels over time.

  3. Change from Baseline in CA-125 Levels (U/mL)

    Time frame: From the beginning of the simulation up to 10 years

    Simulated trajectory of CA-125 levels over time.

  4. Change from Baseline in Estimated Glomerular Filtration Rate (eGFR) to Assess Initial Dip and Long-term Preservation (ml/min/1.73 m²)

    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.

  5. Change from Baseline in Systolic Blood Pressure (mmHg)

    Time frame: From the beginning of the simulation up to 10 years

    Continuous changes in systolic blood pressure during the study period.

Study contacts

Contact information is provided by the study sponsor or research team.

Carlos Escobar Cervantes

CONTACT

[email protected]

+34620210491

Sponsors and collaborators

Lead sponsor

Aeterna Medical Solutions SL

Other

Collaborators

  • Bayer Hispania, S.L

Registry information

Official study title

Implication of Albuminuria Reduction and Other Cardiorenal Effects on The Risk of Heart Failure in Patients With CKD and T2D

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jul 22, 2026
Registry last updated
Jul 22, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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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