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Effect of Artificial Intelligence-guided Cardio-Diabetic Disease Management Program on Follow-up Functional Capacity in People with Diabetes.

Impact of an AI-guided multi-disciplinary disease management program on the aerobic capacity of people with type 2 diabetes.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12625000614493
Acronym
CD-AIM
Enrollment
1
Registered
2025-06-13
Start date
2025-07-25
Completion date
2027-07-30
Last updated
2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Heart failure is one of the most common complications of diabetes. This illness is preventable in the early stages, but few people are detected early enough for prevention to be effective. This trial will identify early stage heart failure using a new Artificial Intelligence (AI) process, and then seek whether exercise training and protective medications can prevent deterioration of function. Hypothesis: The use of exercise training and protective medications in "at risk" patients with diabetes (identified by a new Artificial Intelligence (AI) process) can prevent deterioration of exercise capacity.

Interventions

The multidisciplinary cardio-protective intervention over 2 years will be characterized by; 1) Baseline assessment of clinical risk using questionnaires, ECG and echo provided by the study nurses, co-ordinators and sonographers 2) Optimizing medical management. This will involve addition of cardioprotective therapy not already in use by these participants - including ACE/ARB, SGLT2 inhibitors and mineralocorticoid antagonists, delivered orally after dispensing in the community. The choice and do

The multidisciplinary cardio-protective intervention over 2 years will be characterized by; 1) Baseline assessment of clinical risk using questionnaires, ECG and echo provided by the study nurses, co-ordinators and sonographers 2) Optimizing medical management. This will involve addition of cardioprotective therapy not already in use by these participants - including ACE/ARB, SGLT2 inhibitors and mineralocorticoid antagonists, delivered orally after dispensing in the community. The choice and dosage of agents will be individualized by the medical supervisors of each site in conjunction with the patient's GP, based on participants' responses (eg. blood pressure, renal function). Target doses will be ramipril 10 mg/d, candesartan 32 mg/d, spironolactone 25 mg/d or dapagliflozin 10 mg/d - or dose-equivalents of other compounds in each class. Adherence will be monitored by scripts filled and pill-counts. 3) Exercise intervention. This will involve strength (eg. weights) and aerobic training (eg. stationary bike) for 30 minutes three times each week, of moderate intensity, judged by rating on the Borg RPE scale, based on individual prescription by an accredited exercise physiologist involved with the study. This will be delivered at the study site or remotely, dependent on the circumstances of the participant. Adherence will be documented by the supervising exercise physiologist.

Sponsors

University of Tasmania
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Prevention
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
65 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

Men and women >65 years with T2DM but no diagnosis of HF, in sinus rhythm

Exclusion criteria

1) HF - documented or undiagnosed (EF 400ng/l). 2) Other cardiac disease (myocardial infarction, angina, >70% coronary stenoses, more than moderate valve disease). 3) already in a supervised exercise program. 4) features incompatible with RCT (unlikely to be adherent with study follow-up; <12 months life expectancy due to concomitant disease; participation in another clinical research trial where blinded treatment would be unacceptable; unable to provide written informed consent); 5) inability to acquire interpretable echo images (uncommon)

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026