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 is a common and serious postoperative complication that significantly increases morbidity, mortality, and healthcare costs. By analyzing electronic medical records from kidney transplant patients, including preoperative, intraoperative, and postoperative variables, the study seeks to identify high-risk patients and key predictors. Six machine learning models, including XGBoost, LGBM, GBC, LR, ANN, and SVM, will be constructed and evaluated, with a soft voting ensemble classifier used to optimize prediction performance. The goal is to improve early recognition and clinical management of postoperative delirium in kidney transplant patients.

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Key information

Conditions

Kidney Transplantation Cognitive Confusion Delirium Delirium - Postoperative Emergence Delirium Mental Disorders Nervous System Diseases Neurobehavioral Manifestations Neurocognitive Disorders Neurologic Manifestations Pathologic Processes Pathological Conditions, Signs and Symptoms Postoperative Complications Signs and Symptoms

Age range

16 year and older

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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).

Treatment and study plan

Primary outcomes

Incidence of Postoperative Delirium Within 7 Days After Kidney Transplantation

Time frame: 7 days after surgery

Postoperative delirium will be identified within 7 days of surgery through automated extraction and structured analysis of electronic medical record text fields, including progress notes, nursing records, and medication orders for sedatives or anxiolytics. Delirium will be categorized by onset time, severity, treatment, and recovery status.

Sponsors and collaborators

Lead sponsor

Hua Zheng

Other

Registry information

Official study title

Construction of a Machine Learning Prediction Model for Postoperative Delirium in Kidney Transplant Patients Based on Clinical Data

Important dates

Study start: 2016
Primary completion: 2024
Study completion: 2025
First posted: Jul 22, 2025
Registry last updated: Jul 22, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed