Kidney Injury, Acute
Conditions
Brief summary
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.
Detailed description
The data in this study are divided into two parts: retrospective and prospective. The retrospective data served as the development set, sourced from the electronic medical records of adult patients who underwent non-cardiac surgery during hospitalization between July 2015 and June 2025. The prospective data constituted an external (temporal) validation set, with data collection commencing in July 2025 and expected to conclude in February 2026.
Interventions
OTHERNo intervention measures were used.
The exposure factors were the perioperative related operations experienced by the patients and their individual conditions
Sponsors
Lanyue Zhu
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Acute kidney injury | Within 7 days after the operation |
Secondary
| Measure | Time frame |
|---|---|
| Postoperative complications | Perioperative period |
| Postoperative mortality | Perioperative period |
| Hospitalization costs | Perioperative period |
| Hospital stays | Perioperative period |
Countries
China
Contacts
CONTACTYue Lan Zhu
Outcome results
None listed