A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
Recruiting
Observational Study
Kidney Injury, Acute
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 10,000 (estimated)
- Sponsor
- Lanyue Zhu · Other
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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.
Trial Locations
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Eligibility Criteria
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…
Contacts