Long-term Prognosis in Pediatric Living Donor Liver Transplant Recipients Who Have Survived the First Year of Surgery

Vipul Gautam1, Phani K Nekarakanti2, Vikram Kumar1

  • 1Department of Pediatric Hepatology, Centre for Liver and Biliary Sciences, Max Super Speciality Hospital, Saket, New Delhi, India.

Insights

Pediatric living donor liver transplants (LDLT) show promising long-term survival rates, particularly in one-year survivors. Socioeconomic factors impact adherence, but online follow-ups aid care in developing nations.

Area of Science:

  • Hepatology
  • Pediatric Surgery
  • Transplant Medicine

Background:

  • Long-term outcomes of pediatric living donor liver transplant (LDLT) are critical for informed consent.
  • This study examines pre-transplant clinical factors, surgical aspects, complications, follow-up, and prognosis in a developing country's LDLT program.

Purpose of the Study:

  • To evaluate long-term outcomes and prognostic factors in pediatric living donor liver transplant recipients.
  • To assess the impact of socioeconomic factors and follow-up strategies on transplant success.

Main Methods:

  • Retrospective analysis of a prospectively maintained database (September 2006 - January 2023) of pediatric liver transplant (pLT) recipients surviving over one year.
  • Cohort included 358 compliant patients and 90 noncompliant patients, with analysis of clinical parameters, interventions, and survival rates.

Main Results:

  • 448 out of 480 pLTs (93.3%) survived beyond one year; 358 formed the main cohort.
  • Survival probabilities at 3, 5, 10, and 15 years were 95%, 93%, 91%, and 72.4%, respectively.
  • Pediatric end-stage liver disease (PELD) score and post-transplant portal vein thrombosis (PVT) were independent prognostic factors for survival.

Conclusions:

  • Pediatric LDLT offers favorable long-term outcomes in one-year survivors.
  • Online follow-up consultations are effective in developing countries.
  • Pre-LT PELD score and post-LT PVT are key indicators for risk assessment and care optimization.
Abstract