JOURNAL ARTICLE
Modified by the Innovative Drugs and Strategies—Pattern of Selected Indications for Pediatric Liver Transplantation.
Published In: Pediatric Transplantation, 2024, v. 28, n. 5. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jankowska, Irena; Socha, Piotr; Gliwicz, Dorota; Lipiński, Patryk; Rokicki, Dariusz; Kaliciński, Piotr; Danielewska, Ewa; Grenda, Ryszard 3 of 3
Abstract
Background: Liver transplantation (LTx) constitutes a major life‐saving routine treatment for children with end‐stage liver disease. However, the analysis of LTx registries in children provides much information about changes in the indication profiles in the recent years. Methods: The article provides a comprehensive review about the successes, hopes, and challenges related to changing indications for LTx in children based on the literature review and our own experience. Retrospective review of the indications for LTx at a tertiary referral pediatric hospital was also presented. Results and Conclusions: In the context of the new therapies that have emerged, the need for LTx has decreased in patients with chronic hepatitis B and C infection and tyrosinemia type 1. In primary hyperoxaluria type 1, new RNAi‐based therapy has eliminated the requirement for LTx (both isolated or combined). There is a hope that introduction of ileal bile acid transporter (IBAT) blockers reduces the need for LTx in patients with Alagille syndrome or progressive familial intrahepatic cholestasis. The number of children qualified for LTx with urea cycle disorders (UCDs) as a prophylaxis of neurodevelopmental impairment is increasing. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Pediatric Transplantation. 2024/08, Vol. 28, Issue 5, p1
- Document Type:Article
- Subject Area:Consumer Health
- Publication Date:2024
- ISSN:1397-3142
- DOI:10.1111/petr.14825
- Accession Number:178646871
- Copyright Statement:Copyright of Pediatric Transplantation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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