Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Establishment and Evaluation of Moderate-severe Prediction Model of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning Algorithm
1 other identifier
observational
400
1 country
1
Brief Summary
The main objective of this study is to develop a machine learning model that predicts moderate-severe prediction model of pulmonary complications in liver transplantation patients within 14 postoperative day using a real-world, local preoperative and intraoperative electronic health records, not administrative codes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 15, 2024
CompletedFirst Submitted
Initial submission to the registry
July 30, 2024
CompletedFirst Posted
Study publicly available on registry
August 2, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 15, 2024
CompletedAugust 2, 2024
July 1, 2024
5 months
July 30, 2024
July 30, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Prediction of postoperative moderate-to-severe pulmonary complications
IA total of 72 variables are expected to be included, using 6 types of machine learning methods, including decision tree (DT), logistic regression (LR), random forest (, RF), support vector machine (SVM), extreme gradient lift (XGBoost), and gradient lift decision tree (GBDT) to build a moderate postoperative prediction model
August 2024-December 2024
Eligibility Criteria
Patients who underwent liver transplantation from January 1,2016to December 31，2019 were admitted to the study.
You may qualify if:
- Adult patients (age ≥ 18 years)
- Undergoing liver transplantation
You may not qualify if:
- Re-transplantation
- Multi-organ transplants
- Intra-operative deaths
- severe encephalopathy (West Haven criteria III or IV)
- Incomplete clinical data
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
West China Hospital, Sichuan University
Chengdu, Sichuan, 610041, China
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 14 Days
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
July 30, 2024
First Posted
August 2, 2024
Study Start
July 15, 2024
Primary Completion
December 15, 2024
Study Completion
December 15, 2024
Last Updated
August 2, 2024
Record last verified: 2024-07