A Retrospective Cohort Study on Predicting Delayed Graft Function in Liver Transplant Patients with Hepatocellular Carcinoma: a Nomogram and Machine Learning Approaches.
1 other identifier
observational
131
1 country
1
Brief Summary
Background: This study aimed to develop a predictive model for delayed graft function (DGF) in liver transplant patients with hepatocellular carcinoma (HCC) based on preoperative biochemical indicators, using both logistic regression and XGBoost machine learning algorithms. Methods: A retrospective cohort study was conducted, including 131 liver transplant patients from January 2020 to April 2022. Preoperative biochemical markers and hematological parameters were analyzed. Logistic regression and XGBoost models were constructed to predict DGF, and their performance was evaluated using the area under the ROC curve (AUC). Shapley Additive Explanations (SHAP) analysis was employed to interpret the feature contributions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2020
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2024
CompletedFirst Submitted
Initial submission to the registry
October 1, 2024
CompletedFirst Posted
Study publicly available on registry
October 4, 2024
CompletedOctober 4, 2024
October 1, 2024
4.3 years
October 1, 2024
October 3, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
TBIL/AST/ALT/INR
Results of biochemical examination on the 7th day after liver transplantation in patients with hepatocellular carcinoma.
Interventions
Liver transplantation for patients with hepatocellular carcinoma.
Eligibility Criteria
Patients receiving a liver transplant between January 2020 and April 2024.
You may qualify if:
- Patients with liver cancer aged between 18 and 75 years.
- Patients who have received liver transplantation.
- Complete preoperative and postoperative medical imaging data, clinical records and pathological test reports are available.
You may not qualify if:
- Primary non-hepatocellular carcinoma
- Recipients were younger than 18 years and older than 75 years
- Serious complications associated with liver transplantation, such as acute transplant rejection or transplant liver failure, occur within 7 days after surgery.
- Re-surgery within 7 days after surgery due to liver transplant-related complications or other surgical procedures, such as transplant site infection or other major surgery.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Jian Youlead
Study Sites (1)
Zhongnan Hospital of Wuhan University
Wuhan, Hubei, 430071, China
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Research assistant
Study Record Dates
First Submitted
October 1, 2024
First Posted
October 4, 2024
Study Start
January 1, 2020
Primary Completion
April 30, 2024
Study Completion
April 30, 2024
Last Updated
October 4, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share
The data are not publicly available, as participants in this study need their data for further analysis.