AI-CARDIO
Predictive analysis of cardiovascular risk in cutaneous lipodystrophies associated with type 1 and type 2 diabetes mellitus through artificial-intelligence systems.
A multi-year study dedicated to the assessment of cardiovascular risk in patients with diabetes mellitus on insulin therapy, with or without cutaneous lipodystrophies.
The project integrates clinical data and artificial-intelligence systems to develop a predictive algorithm for cardiovascular events.
The project
AI-CARDIO is a multi-year research project, conducted from 2024 to 2026, aimed at studying patients with type 1 and type 2 diabetes mellitus on insulin treatment. The project focuses on the presence and frequency of cutaneous lipodystrophies, regarded as a useful marker of increased cardiovascular risk, especially in patients who present errors in injection technique or difficulties in managing their therapy.
The study involves comprehensive cardiovascular screening in two cohorts of subjects on insulin therapy, with and without cutaneous lipodystrophies. The assessment will be repeated over the course of the multi-year follow-up, allowing the collection and analysis of clinical, metabolic, haemodynamic, morphological and radiological data and of circulating biomarkers of cardiac injury of cardiac damage.
Results
The main objective of the project is to improve cardiovascular prevention in diabetic patients on insulin therapy through the early identification of higher-risk subjects.
Particular attention is paid to cutaneous lipodystrophies, which can affect glycemic control and contribute to greater glycemic variability, with repercussions on the risk of cardiovascular complications.
The project also aims to promote correct patient education on the management of insulin therapy and on the prevention of complications related to injection technique.
Through the structured collection of data and the use of artificial-intelligence systems, AI-CARDIO intends to develop a predictive model capable of supporting more personalised diagnostic-therapeutic pathways.
The expected results include the definition of a cardiovascular risk profile in diabetic subjects on insulin therapy, with particular reference to the presence of cutaneous lipodystrophies and their impact on metabolic control.
The project envisages the creation of a predictive algorithm for fatal and non-fatal cardiovascular events, based on the integration of clinical, metabolic, instrumental and laboratory data collected during the follow-up. The database and results will undergo scientific validation by a scientific Department of the Vanvitelli University, with the aim of contributing to the optimisation of diagnostic-therapeutic pathways, the reduction of cardiovascular morbidity and mortality and the containment of healthcare costs.
