Industry Literature

Does Donor-Recipient Age Difference Matter in the Outcome of Heart Transplantation?

With the growing shortage of organ donors, marginal donor organs are increasingly accepted, which may partially explain the continued increase in donor age. The potential interactions between donor-recipient (D/R) age difference and outcomes after heart transplantation (HT) are not well known, and organ allocation systems do not routinely consider D/R age matching. We thus aimed

Primary Graft Dysfunction: Worry Less about Organ Quality and Do More to Improve Candidate Condition

In this issue of the Journal, Profita and colleagues report findings from a well-controlled analysis matching outcomes from the Organ Procurement and Transplantation Network (OPTN) and the Extracorporeal Life Support Organization (ELSO) datasets to identify incidences of and risk factors for severe primary graft dysfunction (PGD) in pediatric heart transplant recipients within the United States.1

An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms

We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. The present study aimed to examine the stability of machine-learning algorithms in new biopsies, compare 3AA vs. 4AA algorithms, assess supervised binary classifiers trained on histologic or molecular diagnoses, create

Data definition process in place to bring clarity and consistency to transplant forms

Audience

All UNetSM users who complete OPTN data collection forms

Implementation

January 15, 2019; quarterly updates

At-a-glance

A cross-functional team of UNOS staff and OPTN members is working on a data governance initiative to improve the consistency and quality of OPTN data collection. The first set of data definitions using a new format are published in UNet online Help as

Exosomal profiling in cardiac allograft rejection: Best basic science article in 2018.

Identifying patients who are at risk for complications after thoracic transplantation assists in better defining outcomes and promoting discovery of new mechanisms that can be targeted to mitigate these complications. The gold-standard for diagnosing rejection, a major cause of morbidity and mortality after transplantation, is biopsy, which (1) is not risk-free, (2) may not be