Evidence map›Paper›PMID 41908105›Full record

ArticleJHLT open2026

Novel model to predict survival in DCD heart transplants: Development of a mortality risk score using UNOS data.

Anh Nguyen, Abbas Rana, Alexis Shafii, Gabriel Loor, Andrew Civitello, Todd Rosengart, Kenneth Liao

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Article in JHLT open, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Anh NguyenDivision of Cardiothoracic Transplantation and Circulatory Support, Department of Surgery, Baylor College of Medicine, Houston, TX.
Abbas RanaDivision of Abdominal Transplantation, Department of Surgery, Baylor College of Medicine, Houston, TX.
Alexis ShafiiDivision of Cardiothoracic Transplantation and Circulatory Support, Department of Surgery, Baylor College of Medicine, Houston, TX.
Gabriel LoorDivision of Cardiothoracic Transplantation and Circulatory Support, Department of Surgery, Baylor College of Medicine, Houston, TX.
Andrew CivitelloDivision of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX.
Todd RosengartDivision of Cardiothoracic Surgery, Department of Surgery, Baylor College of Medicine, Houston, TX.
Kenneth LiaoDivision of Cardiothoracic Transplantation and Circulatory Support, Department of Surgery, Baylor College of Medicine, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While prior studies have compared outcomes between donation after brain death (DBD) and donation after circulatory death (DCD) heart transplants, this study focuses on donor and recipient characteristics influencing survival and develop a risk score exclusively in DCD heart transplants. Methods: We analyzed adult DCD heart transplants in the UNOS database from January 2019 to June 2024. Mortality risk factors were assessed using multivariable Cox proportional hazards regression. The coefficients of the most significant factors were used to develop a mortality risk score. Results: Among 18,014 adult heart transplants, 1453 (8.1%) were DCD recipients. One-, two-, and three-year survival rates were 91.6%, 84.8%, and 80.3%, respectively. Statistically significant factors associated with increased mortality included recipient age >65 (HR=1.62, p=0.025), recipient female sex (HR=1.87, p=0.007), recipient diabetes (HR=1.64, p=0.009), prior cardiac surgery (HR=1.46, p=0.049), donor male sex (HR=1.96, p=0.034), longer ischemic time (HR=1.11 per hour, p=0.014) and CMV mismatch: donor-/recipient+ (HR=2.07, p=0.015); donor+/recipient- (HR=1.84, p=0.041). Though not statistically significant (p>0.05), donor age≥45, donor diabetes, donor cause of death, lung retrieval, recipients' pretransplant dialysis, IV inotropes and mechanical ventilation were also added to the mortality risk score model due to its large effect sizes and clinical relevance. Conclusions: We developed a mortality risk score for DCD heart transplants including 7 recipient factors: age >65, female sex, diabetes, prior cardiac surgery, pretransplant ventilator use, IV inotropes; 7 donor factors: age≥45, male sex, diabetes, ischemic time>4 h, cause of death, lung retrieval and CMV positive in either donors or recipients.

Indexed as

Donation after circulatory deathHeart transplantMortalityRisk scoreSurvival

Identifiers

PMID41908105
PMCPMC13019768

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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.