Evidence map›Paper›PMID 40691955›Full record

Observational studyThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2025

Development of a risk score predicting survival after adult heart transplantation in the United States.

Kevin A Lazenby, Stratton B Tolmie, Kenley Barrett, Molly H White, Kevin C Zhang, Nikhil Narang, Carine Jasseron, Richard Dorent, Kiran K Khush, William F Parker

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kevin A LazenbyPritzker School of Medicine, University of Chicago, Chicago, IL; Department of Surgery, Washington University in St. Louis, St. Louis, MO.
Stratton B TolmiePritzker School of Medicine, University of Chicago, Chicago, IL; Department of Medicine, Columbia University, New York, NY.
Kenley BarrettSection of Pulmonary Critical Care, The University of Chicago Medicine, Chicago, IL.
Molly H WhiteSection of Pulmonary Critical Care, The University of Chicago Medicine, Chicago, IL.
Kevin C ZhangSection of Pulmonary Critical Care, The University of Chicago Medicine, Chicago, IL.
Nikhil NarangAdvocate Heart Institute, Advocate Christ Medical Center, Oak Lawn, IL; Department of Medicine, University of Illinois-Chicago, Chicago, IL.
Carine JasseronAgence de la Biomédecine, Direction Prélèvement Greffe Organes-Tissus, Saint-Denis La Plaine, France.
Richard DorentAgence de la Biomédecine, Direction Prélèvement Greffe Organes-Tissus, Saint-Denis La Plaine, France.
Kiran K KhushDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA.
William F ParkerSection of Pulmonary Critical Care, The University of Chicago Medicine, Chicago, IL; Department of Public Health Sciences, University of Chicago, Chicago, IL; MacLean Center for Clinical Medical Ethics, University of Chicago, Chicago, IL. Electronic address: wparker@uchicago.edu.

Funding

Mending a Broken Heart Allocation System with Machine LearningK08HL150291 · NHLBI · UNIVERSITY OF CHICAGO · PI PARKER, WILLIAM F · 2020 to 2024
$713k
NHLBI NIH HHS K08 HL150291
6 · The paper itself

Abstract

backgroundIn the US, donor hearts for transplant are currently allocated to the candidates with the highest risk of death on the waiting list, based on a categorical status-based system. The upcoming continuous distribution system provides an opportunity to implement a post-transplant risk score that may help avoid futile transplants.

methodsIn this observational study of the Scientific Registry of Transplant Recipients (SRTR), a novel US transplant risk score (US-TRS) was developed and validated using a mixed-effects Cox proportional hazards model. Study participants included adult heart transplant recipients between October 18, 2018, and February 28, 2022, split temporally into training (first 70% of recipients) and test (last 30% of recipients) datasets. We included 8 of 9 French Transplant Risk Score (French-TRS) components plus additional US variables that improved the Akaike Information Criterion (AIC) in the training data. In the test dataset, we assessed US-TRS 1-year post-transplant survival predictions with Uno's concordance index (c-index) and restricted mean survival time (RMST) and compared these results to other post-transplant risk scores, including the French-TRS, the Index for Mortality Prediction After Cardiac Transplantation (IMPACT) score, and recipients' waitlist status at transplantation.

resultsThe study cohort consisted of 9,071 heart transplant recipients (mean age 54 [SD 13] years, 72% male), of which 828 (9.1%) died and 29 (0.3%) underwent retransplant within 1 year of transplant. The final US-TRS model included recipient age, bilirubin, estimated glomerular filtration rate (eGFR), albumin, durable left ventricular assist device (LVAD), diabetes, mechanical ventilation, congenital heart disease, donor age, donor sex, and donor-recipient size mismatch. The c-index in the test dataset was 0.671 (95% CI, 0.665-0.687) for the US-TRS model, 0.620 (95% CI, 0.611-0.632) for the French-TRS model, 0.598 for the calculated IMPACT score, and 0.551 (95% CI, 0.540-0.576) for waitlist Status at transplant. US-TRS estimated excellent survival for most recipients, but a minority (17%) of recipients were high risk with an estimated 1-year survival probability of 78% and an average estimated RMST of 311.9 days in the first year.

conclusionsIn this registry-based study of US adult heart transplant recipients, a multivariable risk score outperformed existing models in predicting 1-year post-transplant survival and may be useful for integrating post-transplant survival into the upcoming continuous distribution framework.

Indexed as

Heart FailureHeart TransplantationRegistriesAdultFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateUnited StatesWaiting Listscontinuous distributionheart transplantationorgan allocationorgan procurement and transplantation network (OPTN)post-transplant survivalsurvival analysis

Identifiers

PMID40691955
PMCPMC12849259

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Registered trials

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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.