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A risk prediction model for PC-AKI in contrast-enhanced CT based on machine learning

A risk prediction model for PC-AKI in contrast-enhanced CT based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300073262
Enrollment
Unknown
Registered
2023-07-05
Start date
2023-07-08
Completion date
Unknown
Last updated
2023-07-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

postcontrast acute kidney injury

Interventions

Patients who underwent enhanced CT:None

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) inpatients and outpatients who underwent enhanced CT examination (2) age =18 years old

Exclusion criteria

Exclusion criteria: (1) Patients who did not undergo Scr examination 7 days before or after enhanced CT examination (2) patients with incomplete clinical data or authenticity to be verified

Design outcomes

Primary

MeasureTime frame
serum creatinine;—

Secondary

MeasureTime frame
serum sodium;serum potassium;hemoglobin;PLT;white blood cell count;—

Countries

China

Contacts

Public ContactZhenlin Li

West China Hospital of Sichuan University

lzlcd01@126.com+86 189 8060 2130

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026