Framingham score, renal dysfunction, and cardiovascular risk in liver transplant patients

Tommaso Di Maira1,2, Angel Rubin1, Lorena Puchades1

  • 1Liver Transplantation and Hepatology Unit, La Fe Hospital, Valencia, Spain.

Insights

The Framingham Risk Score (FRS) and estimated glomerular filtration rate (eGFR) at liver transplantation (LT) can predict cardiovascular events (CVEs) and survival in patients. Higher FRS and lower eGFR are associated with increased risk of post-LT CVEs and mortality.

Area of Science:

  • Cardiology
  • Hepatology
  • Transplantation Medicine

Background:

  • Cardiovascular (CV) events are a significant cause of mortality in liver transplantation (LT) recipients.
  • Predictive tools for post-LT CV events (CVEs) are crucial for improving patient outcomes.

Purpose of the Study:

  • To evaluate the Framingham Risk Score (FRS) as a predictor of post-LT CVEs.
  • To assess the association between FRS, estimated glomerular filtration rate (eGFR), and overall survival after LT.

Main Methods:

  • Retrospective analysis of 250 LT patients transplanted between 2006-2008.
  • Recording of baseline characteristics, CV risk factors, and post-LT CVEs (ischemic heart disease, stroke, heart failure, arrhythmias, peripheral arterial disease).
  • Statistical analysis including univariate and multivariate models to identify predictors of CVEs and mortality.

Main Results:

  • 14.4% of LT recipients developed at least one CVE.
  • Multivariate analysis identified eGFR (HR, 0.98; 95% CI, 0.97-1.00) and FRS (HR, 1.06; 95% CI, 1.02-1.10) as independent predictors of post-LT CVEs.
  • Higher FRS was associated with decreased 5-year survival rates (82.5% low-risk vs. 61.4% high-risk).
  • Continuous FRS, eGFR, and hepatitis C virus infection were independent risk factors for overall mortality.

Conclusions:

  • The FRS and eGFR at the time of LT are valuable tools for predicting post-LT CVEs and mortality.
  • Risk stratification using FRS and eGFR can aid in managing CV risk in LT recipients.
  • Further research may focus on optimizing CV risk management strategies in LT patients based on these predictors.

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