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Machine learning models predicting postoperative death and acute kidney injury for Acute Kidney Injury (ORACLE Trial)

N/A
Waitlist Available
Led By Bradley A Fritz, MD
Research Sponsored by Washington University School of Medicine
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Surgery during hours of ACT operation (weekdays 7:00am-4:00pm)
Enrolled in the TECTONICS randomized clinical trial (NCT03923699)
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 30 days
Awards & highlights

ORACLE Trial Summary

This trial will test if anesthesiologists can more accurately predict patient risk for postoperative complications with access to machine learning display.

Eligible Conditions
  • Acute Kidney Injury
  • Mortality

ORACLE Trial Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

ORACLE Trial Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~30 days
This trial's timeline: 3 weeks for screening, Varies for treatment, and 30 days for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Area under receiver-operating characteristic curve of clinician prediction for postoperative acute kidney injury
Area under receiver-operating characteristic curve of clinician prediction for postoperative death

ORACLE Trial Design

2Treatment groups
Experimental Treatment
Active Control
Group I: Machine Learning AssistanceExperimental Treatment1 Intervention
Clinicians in the Anesthesia Control Tower will review patient data using the electronic health record and using AlertWatch, and they will also view the machine learning display. They will then predict how likely the patient is to experience postoperative death and postoperative acute kidney injury.
Group II: No AssistanceActive Control1 Intervention
Clinicians in the Anesthesia Control Tower will review patient data using the electronic health record and using AlertWatch, but they will not view the machine learning display. They will then predict how likely the patient is to experience postoperative death and postoperative acute kidney injury.

Find a Location

Who is running the clinical trial?

Washington University School of MedicineLead Sponsor
1,928 Previous Clinical Trials
2,291,974 Total Patients Enrolled
7 Trials studying Acute Kidney Injury
5,389 Patients Enrolled for Acute Kidney Injury
Foundation for Anesthesia Education and ResearchOTHER
12 Previous Clinical Trials
29,287 Total Patients Enrolled
Bradley A Fritz, MDPrincipal InvestigatorWashington University School of Medicine

Frequently Asked Questions

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~1461 spots leftby Mar 2025