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COMPLETEDNCT07078578

A Predictive Model for Postoperative Delirium in Kidney Transplant Patients

This study aims to develop and prospectively validate a machine learning-based prediction model for postoperative delirium in kidney transplant recipients, using perioperative clinical data. Delirium ...

Lead sponsor: Hua Zheng•View source on ClinicalTrials.gov

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Sponsors

Lead Sponsor

Hua Zheng

Age

16 - No limit years

Sex

ALL

Healthy Volunteers

No

Inclusion Criteria

•Patients who underwent kidney transplantation at \[Hospital Name, if needed\] between January 1, 2016, and May 31, 2025.
•Age ≥ 18 years at the time of transplantation.
•Discharged alive from the hospital after surgery.
•Complete perioperative clinical data available, including preoperative evaluations, intraoperative records, and postoperative documentation

Exclusion Criteria

•Patients with documented pre-existing delirium or major neurocognitive disorder before surgery.
•Simultaneous or multi-organ transplantation (e.g., kidney-pancreas).
•Death within 7 days postoperatively.
•Incomplete or missing key electronic medical records preventing outcome assessment.
•Patients who withdrew consent for use of clinical data for research purposes (for prospective part).

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Data from ClinicalTrials.govLast updated on ClinicalTrials.gov: July 22, 2025Terms

Trial snapshot

StatusCOMPLETED

Phase—

Enrollment4,800

Start dateJan 2016

Last updatedJul 22, 2025

Condition

Kidney Transplantation Delirium - Postoperative Cognitive

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: July 22, 2025Data synced to Clareo: May 10, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

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