Clincosm LogoSign in Get a demo

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

Sponsor
Rao Sun (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06146829
Collaborator
(none)
80,000
Enrollment
1
Location
18
Anticipated Duration (Days)
135277.8
Patients Per Site Per Month

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase
  • Other: no intervention

Study Design

Study Type:
Observational
Anticipated Enrollment :
80000 participants
Observational Model:
Cohort
Time Perspective:
Retrospective
Official Title:
Development of Interpretable Machine Learning Models for Prediction of Acute Kidney Injury After Noncardiac Surgery
Anticipated Study Start Date :
Nov 27, 2023
Anticipated Primary Completion Date :
Dec 15, 2023
Anticipated Study Completion Date :
Dec 15, 2023

Outcome Measures

Primary Outcome Measures

  1. Postoperative acute kidney injury [Within 7 days after surgery]

    In accordance with the KDIGO creatinine criteria: a serum creatinine increases of 26.5 mmol/L within 48 hours or 1.5 times baseline within 7 days after surgery.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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).

Contacts and Locations

Locations

Site City State Country Postal Code
1 Rao Sun Wuhan Hubei China 430030

Sponsors and Collaborators

  • Rao Sun

Investigators

  • Principal Investigator: Rao Sun, Tongji Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Rao Sun, Associate chief physician, Tongji Hospital
ClinicalTrials.gov Identifier:
NCT06146829
Other Study ID Numbers:
  • TJH-20230608C
First Posted:
Nov 27, 2023
Last Update Posted:
Nov 27, 2023
Last Verified:
Nov 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:
Acute Kidney Injury
Wounds and Injuries

Study Results

No Results Posted as of Nov 27, 2023