Health TrialsbyHealthPanel

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

ConditionKidney Injury, Acute
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorLanyue Zhu

About this trial

Primary objectives of this study is to develop and validate a predictive model for acute kidney injury after non-cardiac surgery based on machine learning. Secondary objectives of this study is to incorporate frailty assessment as a new predictor into the model and measure its incremental value was measured.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

18 years old or above

Undergo non-cardiac surgery

Disqualifiers

At least one measurement of serum creatinine (SCr) was not conducted before and after the operation

End-stage renal disease (ESRD) that has received dialysis within the past year

Baseline SCr ≥ 4.5 mg/dl (because the clinical criteria for AKI based on elevated SCr may not be applicable to these patients)

Acute kidney injury occurred within 7 days before the operation

Trial population

Patients who are scheduled to undergo surgery at Zhongda Hospital Southeast University.

Trial design

Design model

Cohort

Time perspective

Other

Treatments tested in this trial

  • No intervention measures were used.

    Other intervention

    The exposure factors were the perioperative related operations experienced by the patients and their individual conditions

Treatment groups

10,000 Participants
are divided into 2 treatment groups
Group A: Development group1 intervention
Group B: External (time) validation group1 intervention

Trial outcomes

Primary outcomes

1

Acute kidney injury

Time frame
Within 7 days after the operation

Secondary outcomes

1

Postoperative complications

Time frame
Perioperative period
2

Postoperative mortality

Time frame
Perioperative period
3

Hospitalization costs

Time frame
Perioperative period
4

Hospital stays

Time frame
Perioperative period

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Lanyue Zhu

Lead sponsor

Zhongda Hospital

Sponsor institution

Source ClinicalTrials.gov
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