Cardiovascular Kidney and Metabolic Health Assessment and Patient Empowerment
CHAPERONE-CKM
1 other identifier
interventional
300
2 countries
5
Brief Summary
The primary objective of CHAPERONE solution is to evaluate the efficacy of engaging, assessing, and enabling long term treatment strategy with Health Artificial Intelligence (AI) Chatbot, Copilot, Large Language Model (LLM) and vital sign monitoring device in reducing CKM disease burden using an algorithm obtained from biomarkers and diagnostics utilizing remote sensor driven technology tools, care coordination and patient empowerment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2025
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 22, 2025
CompletedFirst Submitted
Initial submission to the registry
February 4, 2026
CompletedFirst Posted
Study publicly available on registry
February 11, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 22, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 22, 2027
February 12, 2026
February 1, 2026
1 year
February 4, 2026
February 10, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
CHAPERONE AI Treatment
Improvement of patient outcomes will be measured by reduction of composite of Kidney failure/progression of kidney disease, Heart failure, Acute Mi events and diabetes complications and hospitalization as well as all-cause mortality through 30 days, 90 days and 180 days in patients CKM
30 days, 90 days and 180 days in patients CKM
Secondary Outcomes (1)
CHAPERONE AI Reduced Readmissions
30, 90 and 180 days.
Study Arms (2)
Intervention
PLACEBO COMPARATORAll qualified cardio kidney metabolic (CKM) patients including Congestive Heart Failure (CHF) subjects in Intervention Arm
Control
NO INTERVENTIONAll qualified cardio kidney metabolic patients including CHF subjects in control arm
Interventions
The primary objective of this study is to evaluate the efficacy of treatment strategy on the impact of an intervention that is AI, Machine Learning (ML) based using Chatbot and Copilot with algorithm based intervention in CKM subjects in reducing progression of CKM diseases. This will be based on an algorithm obtained from biomarkers and diagnostics utilizing remote sensor driven technology tools, care coordination and patient empowerment. Improvement of patient outcomes will be measured by reduction of composite of Kidney failure/progression of kidney disease, Heart failure, acute myocardial infarction (AMI) events and diabetes complications and hospitalization as well as all-cause mortality through 30 days, 90 days and 180 days in CKM patients
To evaluate the effect of treatment in: reducing readmission's from cardiovascular causes using an algorithm-based intervention of LIFE ESSENTIAL 8 biomarkers obtained from info graphic resources provided by American Heart Association. Improving subject self-assessed risk score overall well-being as measured by self-assessed Copilot Likert scale at 30 days, 90 days and 180 days from hospitalization. Increasing the number of days alive and outside the hospital from hospitalization through day 30, 90 and Day 180. Reducing the composite of cardiovascular re-hospitalization and cardiovascular mortality from hospitalization through 30, 90 and 180 days. New York Heart Association (NYHA) Class and Kansas City Cardiomyopathy Questionnaire (KCCQ) will be captured.
Secondary and tertiary objectives of this study are to evaluate the effect of CHAPERONE intervention in: Improving LIFE ESSENTIAL-8 Score and Health Related Quality of Life (HRQOL) measured with the 12-item Short Form (SF-12) survey, which reflects general health status and leads to 2 scores
Eligibility Criteria
You may qualify if:
- Men and women over 18 years of age are included
- Eligible subjects must have one of the risk factor/ disease component of CKM:
- Diabetes with A1C of 7.5 or higher;
- or Heart disease with stent placement;
- or Coronary Artery Bypass Graft (CABG) in the last 12 months;
- or Chronic Kidney Disease (CKD) stage 2- 4
- and, in those with Heart failure, a recent hospitalization within one week of enrollment is required
You may not qualify if:
- Those subjects who are not willing to sign an informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Aventyn, Inc.lead
- Dignity Healthcollaborator
- Arizona Heart Foundationcollaborator
- Arizona State Universitycollaborator
- University of Arizonacollaborator
- University of Phoenix College of Nursingcollaborator
- Creighton School of Medicine, Phoenix Arizonacollaborator
- Karolinska University Hospitalcollaborator
- Partnership for Economic Innovation Arizonacollaborator
- Kanasu Labscollaborator
- Intel Corporationcollaborator
Study Sites (5)
Fountains Family Care
Chandler, Arizona, 85248, United States
Gilbert Cardiology
Gilbert, Arizona, 85297, United States
Arizona Heart Foundation
Phoenix, Arizona, 85014, United States
East Valley Diabetes
San Tan Valley, Arizona, 85143, United States
Karolinska University Hospital
Stockholm, Sweden
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Kris Vijay Study Chair, MD
Aventyn, Inc.
- PRINCIPAL INVESTIGATOR
Zaki Lababidi PI, MD
Gilbert Cardiology
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 4, 2026
First Posted
February 11, 2026
Study Start
October 22, 2025
Primary Completion (Estimated)
October 22, 2026
Study Completion (Estimated)
April 22, 2027
Last Updated
February 12, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will not share