Complementary Indicators for Diagnosis of Hepatic Vein Stenosis After Pediatric Living-donor Liver Transplantation

Y Kawano1, K Mizuta2, Y Sanada2

  • 1Department of Surgery, Nippon Medical School, Tokyo, Japan.

Insights

Pediatric liver transplant patients with hepatic vein stenosis require careful monitoring. Early diagnosis using imaging, liver/spleen size, hyaluronic acid, and calcineurin inhibitor levels aids treatment effectiveness.

Area of Science:

  • Hepatology
  • Transplant Surgery
  • Medical Diagnostics

Background:

  • Hepatic vein stenosis is a rare but serious complication following liver transplantation, particularly in pediatric living-donor cases.
  • Early diagnosis is critical to prevent severe outcomes like liver cirrhosis, graft loss, and patient mortality.

Purpose of the Study:

  • To investigate diagnostic parameters and treatment outcomes for hepatic vein stenosis in pediatric living-donor liver transplant recipients.
  • To identify key indicators for timely diagnosis and effective management of this complication.

Main Methods:

  • Retrospective review of medical records for 11 pediatric patients diagnosed with hepatic vein stenosis after living-donor liver transplantation.
  • Analysis of diagnostic parameters, including imaging, laboratory tests (hyaluronic acid), and drug clearance, alongside treatment interventions.

Main Results:

  • Eleven patients underwent 16 balloon dilatation procedures; 3 required retransplantation, and 2 needed metallic stents.
  • Hepatomegaly, splenomegaly, elevated hyaluronic acid, and decreased calcineurin inhibitor clearance were pathognomonic indicators.
  • Fibrosis was noted in liver biopsies, with improvements observed post-treatment.

Conclusions:

  • Diagnosing hepatic vein stenosis post-transplantation is challenging, necessitating vigilant observation to prevent acute liver dysfunction.
  • Comprehensive assessment involving imaging, liver/spleen volumetry, hyaluronic acid monitoring, and calcineurin inhibitor clearance is vital for diagnosis and evaluating treatment efficacy.
Abstract