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

Recruitingn/aAges 18 Years - anyAllLanyue Zhu
NCT07030166 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion Criteria: * 18 years old or above * Undergo non-cardiac surgery Exclusion Criteria: * 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 * The surgical procedure is renal surgery * The operation time is less than 2 hours
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What it tests

  • No intervention measures were used.
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Where

1 site
Zhongda Hospital Southeast University
Nanjing, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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