Risk Factors and Deep Learning Model for CI-AKI

NCT ID: NCT06596785

Last Updated: 2024-09-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-06-01

Study Completion Date

2025-06-01

Brief Summary

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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

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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.

Conditions

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AKI - Acute Kidney Injury

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* patients who received iodinated contrast agents during hospitalization
* age ≥ 18 years
* hospitalization length ≥ 48 hours
* at least two serum creatinine tests during hospitalization

Exclusion Criteria

* patients with stage 4 or 5 chronic kidney disease prior to admission
* patients undergoing hemodialysis, hemofiltration or peritoneal before admission
* a history of nephrectomy or kidney transplantation during hospitalization
* incomplete clinical information
* Serum creatinine always ≤ 40 μmol/L during hospitalization
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Xiao Li,MD

OTHER

Sponsor Role lead

Responsible Party

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Xiao Li,MD

Associate professor of pharmacy

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Xiao Lii

Role: PRINCIPAL_INVESTIGATOR

Qianfoshan Hospital

Locations

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The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital

Jinan, Shandong, China

Site Status

Countries

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China

Other Identifiers

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LCYX-LX-20240101

Identifier Type: -

Identifier Source: org_study_id

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