Prediction Model for Postoperative AKI in Patients Undergoing Lung Transplantation Using Machine Learning

NCT06218745 | Completed

• 1 other identifier: 55-2024-003
• Study Type: observational
• Target: 214
• Locations: 1 country
• Sites: 1

Brief Summary

Since 1963, lung transplantation progress has surged due to immunosuppressive agent advancements. In 2004, 1,815 global lung transplantations were reported. Elderly recipients face impaired lung function and health instability, leading to potential respiratory complications post-surgery. Postoperative acute renal injury (AKI) can cause temporary or chronic dysfunction, increasing hospitalization, complications, and additional treatment needs. Various factors contribute to postoperative renal dysfunction after lung transplantation, including sustained hypoperfusion, bleeding, heart failure, acute myocardial infarction, pulmonary embolism, sepsis, and medications. Retrospective analysis of adult lung transplant patients' records aims to explore characteristics, anesthesia methods, intraoperative tests, and postoperative acute renal dysfunction, analyzing incidence and risk factors to develop a machine learning predictive model.

Conditions

Lung Transplantation

Outcome Measures

Primary Outcomes (1)

• Postoperative acute kidney injury (AKI)

  Diagnosis of postoperative AKI is based on the change in serum creatinine concentration within 48 hours after surgery. Stage 1: An increase in serum creatinine of ≥ 0.3 mg/dL from baseline or a 1.5-2 times increase (≥ 1.5-2 times). Stage 2: An increase in serum creatinine of \> 2-3 times from baseline (\> 2-3 times). Stage 3: An increase in serum creatinine of ≥ 3 times from baseline or an increase to ≥ 4.0 mg/dL from baseline (≥ 4.0 mg/dL, only applicable if it increases by at least 0.5 mg/dL acutely), or initiation of renal replacement therapy.

  Within 48 hours after lung transplantation

Interventions

General anesthesia OTHER

General anesthesia using 2% propofol, and remifentanil for lung transplantation

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Adult patients 18 years of age or older who underwent lung transplantation for end-stage lung disease

You may qualify if:

• Adult patients 18 years of age or older who underwent lung transplantation for end-stage lung disease

You may not qualify if:

• None.

Sponsors & Collaborators

• Pusan National University Yangsan Hospital: lead

Study Sites (1)

Pusan National University Yangsan Hospital

Yangsan, South Korea

Location

MeSH Terms

Interventions

Anesthesia, General

Intervention Hierarchy (Ancestors)

Anesthesia; Anesthesia and Analgesia

Study Officials

• Hee Young Kim

  Department of Anesthesia and Pain Medicine, School of Medicine, Pusan National University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant professor for fund

Study Record Dates

• First Submitted: January 12, 2024
• First Posted: January 23, 2024
• Study Start: January 22, 2024
• Primary Completion: June 30, 2025
• Study Completion: June 30, 2025
• Last Updated: August 1, 2025

Record last verified: 2025-07

Data Sharing

• IPD Sharing: Will not share

Locations

KR (1)