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Related Experiment Video

Updated: May 12, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)

Published on: January 27, 2010

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

Gwendolyn B Henry1, Spoorthi Kamepalli1, Carter J Burns1

  • 1Department of Student Affairs, Baylor College of Medicine, Houston, TX.

Transplantation Direct
|May 11, 2026
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...

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The Survival Outcomes Following Liver Transplantation (SOFT) Cluster score offers a comprehensive risk assessment for liver transplant recipients. This tool aids physicians in predicting patient mortality and graft failure, improving transplant outcomes.

Area of Science:

  • Transplantation research
  • Medical informatics
  • Clinical risk assessment

Background:

  • Optimizing liver transplant outcomes is critical due to organ shortages and waitlist mortality.
  • Donor and recipient factors significantly influence post-transplant results.
  • A comprehensive risk assessment model is needed for liver transplant patients.

Purpose of the Study:

  • To develop independent risk index equations for six distinct posttransplant endpoints.
  • To create a comprehensive risk assessment for liver transplant patients.
  • To establish a holistic understanding of patient risk in liver transplantation.

Main Methods:

  • Utilized a large dataset of 61,231 patients from the Organ Procurement and Transplantation Network database.

Related Experiment Videos

Last Updated: May 12, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)

Published on: January 27, 2010

  • Identified risk and protective factors using univariable and multivariable analysis on a training set of 40,821 patients.
  • Developed the Survival Outcomes Following Liver Transplantation (SOFT) Cluster score.

    • Main Results:

    • The SOFT Cluster score demonstrated predictive capabilities across multiple endpoints.
    • C-statistics for mortality ranged from 0.63 to 0.66 for 90-day to 5-year outcomes.
    • The score showed a C-statistic of 0.76 for prolonged length of stay and 0.60 for 1-year graft failure in a validation set of 20,410 patients.

    Conclusions:

    • The SOFT Cluster score is a novel proof-of-concept model for posttransplant risk assessment.
    • It provides a more holistic understanding of patient risk by evaluating a spectrum of outcomes.
    • The model uses a modern cohort of liver transplant recipients for up to 5-year predictions.