Evidence map›Paper›PMID 42110837›Full record

ArticleTransplantation direct2026

The SOFT Cluster Score as a Multifaceted Predictive Model for Postoperative Outcomes.

Gwendolyn B Henry, Spoorthi Kamepalli, Carter J Burns, Jeremy Birkmire, George Cholankeril, Avegail Flores, John A Goss, Abbas Rana

Abstract read
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Article in Transplantation direct, 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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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

8 authors.

Gwendolyn B HenryDepartment of Student Affairs, Baylor College of Medicine, Houston, TX.ORCID https://orcid.org/0009-0006-1138-8372
Spoorthi KamepalliDepartment of Student Affairs, Baylor College of Medicine, Houston, TX.
Carter J BurnsDepartment of Student Affairs, Baylor College of Medicine, Houston, TX.
Jeremy BirkmireDepartment of Student Affairs, Baylor College of Medicine, Houston, TX.ORCID https://orcid.org/0009-0000-4698-3274
George CholankerilDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.
Avegail FloresDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.
John A GossDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.
Abbas RanaDivision of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Consideration of both donor and recipient factors at the time of an organ offer is crucial in achieving the most optimal outcome given the shortage of available donor organs and waitlist mortality risk. Our aim was to achieve a comprehensive risk assessment for liver transplant patients by creating a series of independent risk index equations for 6 distinct posttransplant endpoints in the transplant continuum of care. Methods: The Survival Outcomes Following Liver Transplantation (SOFT) Cluster score includes risk indices for patient mortality at 90 d, 1 y, 3 y, and 5 y posttransplant, graft failure at 1 y after transplantation, and prolonged length of stay (>30 d). Using a total sample of 61 231 patients, significant risk and protective factors were identified through univariable and multivariable analysis from a training set of 40 821 patients from the Organ Procurement and Transplantation Network database. Results: When applied to a validation set of 20 410 patients, the SOFT Cluster score has a Conclusions: The SOFT Cluster score represents a novel proof-of-concept model for posttransplant risk assessment and provides physicians with a more holistic understanding of patient risk by examining a spectrum of outcomes after liver transplantation up to 5 y posttransplant using a modern cohort of recipients.

Identifiers

PMID42110837
PMCPMC13155515

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