Acute Kidney Injury
Conditions
Keywords
acute kidney injury, drug
Brief summary
To establish the prediction model of renal dysfunction in patients with drug-induced renal injury and study the prognosis of different drug treatments
Interventions
Observational study, no intervention
Sponsors
Taizhou Enze Medical Center Group
Hangzhou Linping District first People's Hospital
Aksu district first People's Hospital
Ningbo Yinzhou District Second Hospital
Wucheng District First People's Hospital
Zhejiang Provincial People's Hospital
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Drug-induce acute kidney injury
Exclusion criteria
* 1.Dialysis patients; 2.No baseline creatinine; 3.Obstructive AKI; 4.Clinical data were incomplete.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Model performance metrics assessed by AUC-ROC, accuracy and F1-score using 10-fold cross-validation | through study completion, an average of 6 months | The prognosis of renal function was evaluated by measuring creatinine and proteinuria by laboratory tests. Predict outcomes using machine learning methods. And the prediction effect of the prediction model was evaluated by AUC-ROC, F1, accuracy and other indicators. |
Secondary
| Measure | Time frame |
|---|---|
| The rate at which creatinine falls | 7 days, 1 month, 3 months after treatment |
Countries
China
Contacts
Primary Contactxiaolan Ye, master
Backup ContactPing Huang, doctor
Outcome results
None listed