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

NCT06226480 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 3967

Last updated 2024-12-03

No results posted yet for this study

Summary

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.

Conditions

  • Postoperative Delirium

Sponsors & Collaborators

  • Affiliated Hospital of Nantong University

    lead OTHER

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-02-25
Primary Completion
2024-07-20
Completion
2024-07-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06226480 on ClinicalTrials.gov