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A predictive model of contrast-induced nephropathy established by machine learning algorithm

A predictive model of contrast-induced nephropathy established by machine learning algorithm

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100041717
Enrollment
Unknown
Registered
2021-01-02
Start date
2020-12-30
Completion date
Unknown
Last updated
2021-03-22

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

Conditions

contrast-induced nephropathy

Interventions

Gold Standard:Clinical outcome
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Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Diabetic patients who used contrast media in hospital in West China Hospital of Sichuan University from 2010 to 2020.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
Serum creatinine;SEN, SPE, ACC, AUC of ROC, PV+, PV-;—

Countries

China

Contacts

Public ContactRan Xingwu

West China Hospital of Sichuan University

ranxingwu@163.com+86 18980601305

Outcome results

None listed

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