Big Data in Transplantation Practice-the Devil Is in the Detail-Fontan-associated Liver Disease

Michelle H Kim1, Ailene Nguyen1, Mary Lo2

  • 1Liver Transplant Center, Division of Abdominal Organ Transplantation, Department of Surgery, Children's Hospital-Los Angeles, Los Angeles, CA.

Transplantation
|July 9, 2020
PubMed

Insights

Fontan-associated liver disease (FALD) is a growing concern for single-ventricle heart patients. Current data collection methods hinder FALD research, necessitating improved registries for better patient care and understanding.

Area of Science:

  • Cardiology
  • Hepatology
  • Transplantation Science

Background:

  • The Fontan procedure improves survival for congenital single-ventricle heart disease, enabling patients to reach adulthood.
  • Chronic Fontan hemodynamics lead to secondary noncardiac complications, notably Fontan-associated liver disease (FALD).
  • FALD involves progressive hepatic fibrosis, potentially causing cirrhosis, hepatocellular carcinoma, and liver transplant needs.

Purpose of the Study:

  • To analyze the epidemiology of Fontan-associated liver disease (FALD).
  • To identify challenges in studying FALD using existing administrative and registry data.
  • To highlight the need for improved data collection for FALD research.

Main Methods:

  • Analysis of administrative datasets by a multidisciplinary group from the American Society for Transplantation.
  • Review of ongoing Fontan registries to assess their capacity for capturing FALD-related variables.

Main Results:

  • Studying FALD epidemiology was hindered by a lack of specific diagnostic codes for Fontan and FALD.
  • Inability to track individual patients across multiple health systems limited data analysis.
  • Existing Fontan registries were insufficient for capturing crucial FALD-related information.

Conclusions:

  • Studying emerging transplant-related diagnoses like FALD presents significant challenges with current datasets.
  • There is a critical need for adaptable registry mechanisms to identify patients with rare or emerging conditions.
  • Enhanced data collection strategies are essential for advancing the understanding and management of FALD.
Abstract