Evidence map›Paper›PMID 42367268›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2026

Impact of varying degree of donor-recipient weight mismatch on survival outcomes in pediatric heart transplantation.

Rohit Ganduboina, John Karamichalis, Xander Jacquemyn, Michel Pompeu Sá, Leonardo Mulinari, Sandeep Sainathan

Abstract read
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Article in Indian journal of thoracic and cardiovascular surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rohit GanduboinaDivision of Cardiology, Cedar-Sinai Medical Center, Los Angeles, CA USA.ORCID 0000-0003-4876-9620
John KaramichalisSection of Pediatric and Congenital Cardiac Surgery, Columbia University Medical Center, New York, NY USA.
Xander JacquemynDepartment of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA USA.
Michel Pompeu SáDivision of Cardiothoracic Surgery, Massachusetts General Hospital, Boston, USA.
Leonardo MulinariDivision of Cardiothoracic Surgery, University of Miami, Miami, USA.
Sandeep SainathanDepartment of Congenital Cardiac Surgery, Corewell Health, Helen Devos Children's Hospital, Michigan State University, Michigan, USA.ORCID 0000-0001-9216-7710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Body weight is still the most common metric used for donor-recipient matching in Pediatric Heart Transplantation (PHTX) and its impact on long-term outcomes remains unclear from variable definition and conflicting evidence. In this study, the outcomes of varying weight mismatch on PHTX was analysed. Methods: The United Network for Organ Sharing (UNOS) database (1984-2025) was retrospectively analysed. Size mismatch as a percentage donor-recipient weight difference was categorized as Mild (≤ 20%), Moderate (20-30%), Extreme (> 30%), and stratified as undersizing or oversizing. Demographics, clinical characteristics, and post-transplant outcomes were compared. One-year and 15-year mortality were analysed using multivariable logistic and Cox regression, respectively. Results: Oversizing (80%, 9,175/11,583) was more common than undersizing (20%, 2,408/11,583). With increasing oversizing, the recipients were younger, had congenital heart disease (CHD) diagnosis, and elevated pulmonary vascular resistance but with shorter wait-list times. Oversizing had no impact on 30-day, 1-year, or 15-years survival. With increasing undersizing, recipient age was similar, had less restrictive cardiomyopathy diagnosis, and had female donor but with shorter wait-list times. Undersizing had inferior survival till 5-years but not at 15-years. However, on multivariable analysis, undersizing was not predictive of inferior survival anytime as was congenital heart disease diagnosis, Extracorporeal Membrane Oxygenation (ECMO) bridge, elevated pulmonary-vascular resistance, transplantation era, and post-transplant rejection, stroke, and dialysis use. Conclusions: Oversizing is more likely than undersizing in PHTX. While oversizing had no overall survival impact, undersizing had negative mid-term but not long-term survival impact which disappeared when adjusted for underlying cardiac diagnosis, elevated pulmonary vascular resistance, transplantation era and occurrence of post-transplant complications. Supplementary Information: The online version contains supplementary material available at 10.1007/s12055-026-02195-8.

Indexed as

Donor-recipient weight mismatchPediatric heart transplantationSurvival outcomes

Identifiers

PMID42367268
PMCPMC13305213

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.