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Use of Machine-learning Algorithms, Biomarkers and Measures of Quality of Life to Personalize Medical Management of Liver and Heart Transplant Recipients

Use of Machine-learning Algorithms, Biomarkers and Measures of Quality of Life to Personalize Medical Management of Liver and Heart Transplant Recipients

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06774768
Acronym
DARE
Enrollment
1000
Registered
2025-01-14
Start date
2025-01-30
Completion date
2029-12-31
Last updated
2025-01-14

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

Conditions

Artificial Intelligence (AI), Heart Transplantation, Hepatocellular Carcinoma (HCC), Liver Transplantation, Machine Learning, Major Cardiovascular Event

Brief summary

This is an observational, low risk tissue based, non-pharmacological, retrospective-prospective study for adults heart and liver transplant patients, related to IRCCS Azienda Ospedaliero-Universitaria di Bologna (IRCCS AOUBO). This clinical study is part of the national multicentric project DARE. The project has the wide overarching aim to develop digital solutions for personalized healthcare.

Detailed description

This study is structured in two phases: 1) a retrospective phase that aims to develop ML-based scores that can allow to predict at patient level the risk of infections, cardiovascular diseases, new onset malignancies and chronic graft dysfunction, and describing the trajectory of this risk over time; 2) a prospective phase in which we test the association of biomarkers, QoL and frailty assessments with the ML-scores applied prospectively in heart and liver transplant recipients.

Interventions

None listed

Sponsors

IRCCS Azienda Ospedaliero-Universitaria di Bologna
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Retrospective cohort Inclusion criteria Receiving a heart or liver transplantation at IRCCS AOUBO between January 2008 and December 2020. Surviving at least 6 months after surgery Receiving at least one outpatient clinical assessment, comprising clinical evaluation, standard laboratory tests, and graft ultrasound Older than 18 years old

Exclusion criteria

Unavailability of medical records in the standard data repositories of IRCCS AOUBO Prospective cohort Inclusion criteria Older thant 18 years old Receiving a heart or liver transplantation at least 6 months before study entry and being in active follow up at IRCCS AOUBO Obtaining informed consent

Design outcomes

Primary

MeasureTime frameDescription
Infection4 yearsInfection, defined as systemic or organ-specific syndrome characterized by evidence of inflammatory response, abnormal organ function, and need for intravenous antimicrobial treatment, with or without microbiological isolate.
Major Cardiovascular Event (MACE)4 yearsMajor Cardiovascular Event (MACE) defined as, fatal or non-fatal myocardial infarction, ischemic or hemorrhagic stroke, admission for heart failure, new onset arrhythmia, new onset symptoms for peripheral artery diseases
New onset malignancy4 yearsNew onset malignancy, defined as hematopoietic or solid malignant neoplasm, developing after transplantation
Chronic graft dysfunction4 yearsChronic graft dysfunction; in HTX recipients defined as onset of one or more of the following: CAV grade 2 or greater as diagnosed by standard of care coronary angiography; diffuse fibrosis with signs of diastolic or systolic left ventricle dysfunction. In LTX we define chronic graft dysfunction as progressive fibrosis, cholestasis and reduced protein synthesis, portal hypertension.

Secondary

MeasureTime frameDescription
ML-Scores as Surrogate Endpoints4 yearsThe ML-scores developed to predict the primary outcomes will be used as secondary study outcomes for the prospective phase of the study, and will be tested as surrogate endpoints for clinical outcomes. In this approach, we will analyze the association between such defined surrogate endpoints and biomarkers, QoL and cognitive scores, and frailty measurements.

Countries

Italy

Contacts

Primary ContactLuciano Potena, MD
scompenso.trapiantocuore@aosp.bo.it0512143725

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026