- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06226480
Machine Learning Algorithm for Predicting Postoperative Delirium in Elderly Patients After Thoracic Surgery (POD)
Development and Validation of a Prediction Model for Postoperative Delirium in Elderly Patients After Thoracic Surgery
Study Overview
Status
Conditions
Detailed Description
The primary outcome was the incidence of POD within 3 days postoperatively. The patients will be randomly split into two datasets with split ratios of 80% and 20%.
Subsequently, 80% of the patients will be used for training, and 20% of the patients will be used for testing. Multiple machine learning algorithms will be used to develop POD risk prediction models. The discrimination ability of the prediction models will be assessed by calculating the area under the receiver operating characteristic curve (AUC). The calibration of the model will be evaluated using the Hosmer-Lemeshow goodness of fit test. Decision curve analysis (DCA) will be used to evaluate the net benefits for each threshold probability. The best model will be selected by comparing the performance between the models. Then the SHapley Additive exPlanations (SHAP) will be used to explain the best one.
Study Type
Enrollment (Estimated)
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- aged ≥ 65 years
- elective segmentectomy, lobectomy, or esophagectomy surgeries
- general anesthesia
Exclusion Criteria:
- surgery length less than 1 hour
- preoperative cognitive dysfunction
- admission to the intensive care unit
- second operation within 24 hours
- missing data for any variables
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of participants with postoperative delirium
Time Frame: The first three postoperative days
|
The following descriptive words and the derivatives were searched from the medical records: "delirium", "agitation", "hallucinations", "combative behavior", "inattention", "confusion", "mental status change", "disorientation", "drowsy".
Medical records with the presence of these keywords were reviewed by an independent researcher, and medical records presented the aforementioned symptoms preoperatively were excluded.
Postoperative delirium was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) criteria.
|
The first three postoperative days
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024-K002-01
- YJXYY202204-YSC07 (Other Grant/Funding Number: Jiangsu Provincial Research Hospital)
- QNZ2023004 (Other Grant/Funding Number: Nantong municipal health commission)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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