Last reviewed · How we verify

NCT06226480: POD

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

Completed Last updated 3 December 2024
What this trial tests

trial in Postoperative Delirium in 3,967 participants. Completed in 31 July 2024.

Timeline
25 February 2024
Primary endpoint
20 July 2024
31 July 2024

Quick facts

Lead sponsorAffiliated Hospital of Nantong University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment3,967
Start date25 February 2024
Primary completion20 July 2024
Estimated completion31 July 2024
Sites1 location across China

Conditions studied

Sponsor

Affiliated Hospital of Nantong University

Who can join

65 and older, any sex, with Postoperative Delirium. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Postoperative Delirium

Currently open trials in the same condition.

Other Affiliated Hospital of Nantong University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06226480.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing