Artificial intelligence to predict cardiovascular risk recurrence in people with type 2 diabetes

CARDIO-DIABETES AI: Multimodal machine learning-based risk stratification of cardiovascular recurrence in patients with type 2 diabetes

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ISRCTN

Registry ID

ISRCTN15690435

Enrollment

250

Registered

2026-04-23

Start date

2026-04-01

Completion date

Unknown

Last updated

2026-05-04

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

Conditions

Type 2 diabetes mellitus and cardiovascular disease (secondary prevention of cardiovascular events) Nutritional, Metabolic, Endocrine

Interventions

Observational study with no intervention. Data collection only, including clinical, biological and wearable-derived variables. A total of 250 patients aged 40–70 years will be recruited from hospital

Eligibility

Sex/Gender

All

Age

40 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Adults aged 40–70 years 2. Confirmed type 2 diabetes mellitus 3. History of a major cardiovascular event within the previous 12 months (including acute coronary syndrome, atherothrombotic stroke or arterial revascularisation) 4. Able to provide written informed consent and willing and able to use wearable monitoring devices

Exclusion criteria

Exclusion criteria: 1. Advanced heart failure requiring palliative care or transplant evaluation 2. Chronic dialysis 3. Active malignancy or life expectancy less than 3 years 4. Severe haematological or infectious diseases 5. Uncontrolled psychiatric disorders 6. Significant cognitive impairment 7. Inability to ensure follow-up or comply with wearable device use 8. Participation in other studies that may interfere with the study outcomes

Countries

Spain

Contacts

Public ContactCedrIc Marco Dechart

cedric.marco@unavarra.es+34 627666017

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: May 7, 2026