Literature DB >> 32713121

Statistical performance of 16 posttransplant risk scores in a contemporary cohort of heart transplant recipients.

Guillaume Coutance1,2, Evan Kransdorf1, Guillaume Bonnet2, Alexandre Loupy2, Jon Kobashigawa1, Jignesh K Patel1.   

Abstract

Accurate risk stratification of early heart transplant failure is required to avoid futile transplants and rationalize donor selection. We aimed to evaluate the statistical performance of existing risk scores on a contemporary cohort of heart transplant recipients. After an exhaustive search, we identified 16 relevant risk scores. From the UNOS database, we selected all first noncombined adult heart transplants performed between 2014 and 2017 for validation. The primary endpoint was death or retransplant during the first year posttransplant. For all scores, we analyzed their association with outcomes, sensitivity, specificity, likelihood ratios, and discrimination (concordance index and overlap of individual scores). The cohort included 9396 patients. All scores were significantly associated with the primary outcome (P < .001 for all scores). Their likelihood ratios, both negative and positive, were poor. The discriminative performance of all scores was limited, with concordance index ranging from 0.544 to 0.646 (median 0.594) and an important overlap of individual scores between patients with or without the primary endpoint. Subgroup analyses revealed important variation in discrimination according to donor age, recipient age, and the type of assist device used at transplant. Our findings raise concerns about the use of currently available scores in the clinical field.
© 2020 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  United Network for Organ Sharing (UNOS); clinical decision-making; clinical research/practice; heart failure/injury; heart transplantation/cardiology; organ allocation

Mesh:

Year:  2020        PMID: 32713121     DOI: 10.1111/ajt.16217

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  2 in total

Review 1.  Heart Transplant Donor Selection Guidelines: Review and Recommendations.

Authors:  Shyama Sathianathan; Geetha Bhat
Journal:  Curr Cardiol Rep       Date:  2022-02-18       Impact factor: 2.931

2.  Pre-operative Machine Learning for Heart Transplant Patients Bridged with Temporary Mechanical Circulatory Support.

Authors:  Benjamin L Shou; Devina Chatterjee; Joseph W Russel; Alice L Zhou; Isabella S Florissi; Tabatha Lewis; Arjun Verma; Peyman Benharash; Chun Woo Choi
Journal:  J Cardiovasc Dev Dis       Date:  2022-09-19
  2 in total

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