Cardiovascular Kidney and Metaboolic (CKM) Health Assessment and Patient Empowerment in chROnic Disease Using a Health Coach INtervention ModEl: A Randomized Clinical Trial
Aventyn, Inc.
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.
Description
The interconnectedness between Diabetes, Heart disease and Kidney disease (Cardio Kidney Metabolic) has never been more important to recognize than the present day as the current data on the prevalence of this trifecta suggests an exponential increase in comorbidity, death, poor quality of life and a colossal economic burden on the society. Risk factors such as hypertension, high cholesterol, smoking, prediabetes states, obesity, unhealthy eating habits, lack of exercise, micro particle air pollution, high inflammatory markers, life stressors and genetics play a significant role in triggering…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * 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 Exclusion Criteria: * Those subjects who are not willing to sign an informed consent
Interventions
- OtherCHAPERONE AI
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
- DeviceCKMiq AI
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.
- OtherQuality of Life
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
Locations (5)
- Fountains Family CareChandler, Arizona
- Gilbert CardiologyGilbert, Arizona
- Arizona Heart FoundationPhoenix, Arizona
- East Valley DiabetesSan Tan Valley, Arizona
- Karolinska University HospitalStockholm