External Effectiveness Validation of Model
Conditions
Brief summary
The goal of our study is to evaluate U-AKIpredTM for predicting AKI in critically ill patients within 12 h by the multicenter prospective cohorts. AKI was diagnosed by Kidney Disease Improving Global Outcomes (KDIGO) criteria. We designed five aspects including the overall fitting effecience evaluation, calibration curve, quantifying calibration performance, quantifying discrimination performance, quantifying clinical utility to evaluate the external validation model.
Interventions
None listed
Sponsors
Second Affiliated Hospital, School of Medicine, Zhejiang University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* critically ill patients who stayed in ICU for over 24 h; * patients older than 18 years of age.
Exclusion criteria
* patients who admitted in ICU had been diagnosed acute kidney injury; * patients who admitted in ICU had been diagnosed acute kidney disease; * patients who admitted in ICU had been diagnosed chronic kidney disease; * patients who admitted in ICU had performed kidney dialysis; * patients who admitted in ICU had performed kidney transplantation; * Pregnant women.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AKI occurrence | 12 hours |
Countries
China
Contacts
Primary ContactTao Sun, Doctor
Outcome results
None listed