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Predictive Cardiometabolic Risk Profiling of Patients Using Vascular Age in Liver Transplantation.

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    This study used vascular age to predict cardiometabolic disease risk in liver transplant patients in Uruguay. Higher vascular age predicted worse post-transplant outcomes and increased mortality.

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    Area of Science:

    • Transplantation Medicine
    • Cardiology
    • Predictive Analytics

    Background:

    • End-stage liver disease necessitates liver transplantation as a final treatment.
    • Managing transplant recipients involves complex variables impacting prognosis.
    • Cardiometabolic diseases pose significant risks to transplant outcomes.

    Purpose of the Study:

    • To perform predictive analysis of cardiometabolic diseases in liver transplant recipients.
    • To classify patients based on pre-transplant vascular age for risk stratification.
    • To evaluate the impact of vascular age on post-transplant health and mortality.

    Main Methods:

    • Analysis of liver transplant patients from Uruguay's National Liver Transplantation Program (2014-2019).
    • Predictive modeling incorporating vascular age as a key risk factor.
    • Classification of patients into risk groups based on pre-transplant vascular age.

    Main Results:

    • Patients in the predicted high-risk group exhibited significant post-transplant health deterioration.
    • A higher mortality rate was observed in the high-risk group.
    • Vascular age proved to be an effective factor for risk stratification.

    Conclusions:

    • Vascular age is a valuable tool for predicting cardiometabolic risk in liver transplant candidates.
    • Pre-transplant risk modeling using vascular age enables early identification of potential complications.
    • This approach facilitates proactive management and improved patient outcomes in liver transplantation.
    • This study represents the first in Latin America to integrate vascular age into predictive cardiometabolic risk analysis for liver transplants.