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

NCT06226480 | Completed

• 3 other identifiers: 2024-K002-01YJXYY202204-YSC07QNZ2023004
• Study Type: observational
• Target: 3,967
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

postoperative delirium

Outcome Measures

Primary Outcomes (1)

• Number of participants with postoperative delirium

  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

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Elderly patients undergoing thoracic surgeries.

You may qualify if:

• aged ≥ 65 years
• elective segmentectomy, lobectomy, or esophagectomy surgeries
• general anesthesia

You may not qualify if:

• 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

Sponsors & Collaborators

• Affiliated Hospital of Nantong University: lead

Study Sites (1)

Affiliated Hospital of Nantong University

Nantong, Jiangsu, 226001, China

Location

MeSH Terms

Conditions

Emergence Delirium

Condition Hierarchy (Ancestors)

Delirium; Confusion; Neurobehavioral Manifestations; Neurologic Manifestations; Nervous System Diseases; Postoperative Complications; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Signs and Symptoms; Neurocognitive Disorders; Mental Disorders

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: January 18, 2024
• First Posted: January 26, 2024
• Study Start: February 25, 2024
• Primary Completion: July 20, 2024
• Study Completion: July 31, 2024
• Last Updated: December 3, 2024

Record last verified: 2024-01

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)