Ignite Creation Date:
2024-10-26 @ 3:40 PM
Last Modification Date:
2024-10-26 @ 3:40 PM
Study NCT ID:
NCT06596785
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
None
First Post:
2024-09-08
Brief Title:
Risk Factors and Deep Learning Model for CI-AKI
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Investigation and Early Risk Prediction of Acute Kidney Injury Caused by Iodinated Contrast Agents Development of CI-AKIDPi Model Based on Interpretable Deep Learning
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Contrast-associated acute kidney injury CI-AKI is a sudden and significant decline in renal function resulting from the use of a contrast agent
Detailed Description:
Contrast-associated acute kidney injury CI-AKI is a sudden and significant decline in renal function resulting from the use of a contrast agent Despite the frequent use of iodinated contrast agents in medical investigations predictive models for CI-AKI are scarce This study aimed to construct and validate interpretable deep learning models for the early risk prediction of acute kidney injury AKI associated with iodinated contrast agents
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None