Machine Learning Algorithm for Predicting Postoperative Delirium in Elderly Patients After Thoracic Surgery (POD)

January 29, 2024 updated by: Affiliated Hospital of Nantong University

Development and Validation of a Prediction Model for Postoperative Delirium in Elderly Patients After Thoracic Surgery

Postoperative delirium (POD) is a common and severe complication in patients undergoing major surgery, especially in the elderly. POD has been proven to be associated with increased morbidity and mortality, institutionalization, and high healthcare costs. This retrospective cohort study aimed to use machine learning methods to develop clinically meaningful models to support clinical decision making.

Study Overview

Status

Not yet recruiting

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

Observational

Enrollment (Estimated)

3967

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Elderly patients undergoing thoracic surgeries.

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 20, 2024

Primary Completion (Estimated)

July 20, 2024

Study Completion (Estimated)

July 31, 2024

Study Registration Dates

First Submitted

January 18, 2024

First Submitted That Met QC Criteria

January 18, 2024

First Posted (Actual)

January 26, 2024

Study Record Updates

Last Update Posted (Actual)

January 31, 2024

Last Update Submitted That Met QC Criteria

January 29, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

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)?

NO

IPD Plan Description

Only IPD used in the results publication will be shared upon reasonable request

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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