Machine Learning Models for Prediction of Acute Kidney Injury After Noncardiac Surgery

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

88367 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-11-27

Study Completion Date

2023-12-15

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Acute kidney injury (AKI) is a common surgical complication characterized by a rapid decline in renal function. Patients with AKI are at an increased risk of developing chronic kidney disease and end-stage renal disease, which has been associated with an increased risk of morbidity, mortality and financial burdens. Identifying high-risk patients for postoperative AKI early can facilitate the development of preventive and therapeutic management strategies, and prediction models can be helpful in this regard.

The goal of this retrospective study is to develop prediction models for postoperative AKI in noncardiac surgery using machine learning algorithms, and to simplify the models by including only preoperative variables or only important predictors.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

NCT04977687

Machine Learning Acute Kidney Injury Renal Replacement Therapy +1 more

COMPLETED

Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery

NCT04966598

Machine Learning Acute Kidney Injury

COMPLETED

Preoperative Inflammatory Status and Postoperative Acute Kidney Injury

NCT06027476

Postoperative Acute Kidney Injury

COMPLETED

A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients

NCT07030166

Kidney Injury, Acute

RECRUITING

Early Prediction of Acute Kidney Injury in High Risk Patients After Non-cardiac Surgery

NCT03880110

Acute Kidney Injury

UNKNOWN

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Postoperative Acute Kidney Injury

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

no intervention

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Adult patients (age ≥ 18 years) who had a serum creatinine measurement within 10 days before surgery and at least one measurement within 7 days after surgery.
* Eligible surgeries encompassed general, thoracic, orthopedic, obstetric, gynecology, and neurosurgery procedures lasting longer than 1 hour

Exclusion Criteria

* Patients with concurrent cardiac, vascular, urological, or transplant surgeries.
* Patients with an American Society of Anesthesiologists (ASA) physical status V.
* Patients with end-stage renal disease (i.e., a glomerular filtration rate \[eGFR\] of 15 mL/min/1.73 m² or receiving hemodialysis).

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No