A Predictive Model for Postoperative Delirium in Kidney Transplant Patients

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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07078578

Enrollment

4800

Registered

2025-07-22

Start date

2016-01-01

Completion date

2025-02-01

Last updated

2025-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive, Delirium - Postoperative, Kidney Transplantation

Brief summary

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

16 Years to No maximum

Healthy volunteers

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).

Design outcomes

Primary

Measure	Time frame	Description
Incidence of Postoperative Delirium Within 7 Days After Kidney Transplantation	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.

Outcome results