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USING MACHINE LEARNING TO PREDICT KIDNEY INJURY AFTER LOWER LIMB ANGIOPLASTY

MACHINE LEARNING PREDICTS CONTRAST INDUCED ACUTE KIDNEY INJURY IN ELECTIVE LOWER LIMB PERCUTANEOUS TRANSLUMINAL ANGIOPLASTY: A RETROSPECTIVE COHORT

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100046077
Enrollment
Unknown
Registered
2021-05-04
Start date
2015-01-01
Completion date
Unknown
Last updated
2021-12-13

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

Conditions

Contrast Associated Acute Kidney Injury

Interventions

Case series:Not applicable

Sponsors

Singapore General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
21 Years to 99 Years

Inclusion criteria

Inclusion criteria: - All cases of lower limb PTA as a single procedure identified via surgical codes; - Performed at Singapore General Hospital; - Recruitment period from 2014 to 2020.

Exclusion criteria

Exclusion criteria: - Patients <21 years old; - Patients with a preoperative estimated Glomerular Filtration Rate (eGFR) of <15mL/min/1.73 m2 as defined by the Modification of Diet in Renal Disease (MDRD); - Patients with no valid preoperative or postoperative SCr.

Design outcomes

Primary

MeasureTime frame
Contrast associated acute kidney injury;—

Countries

Singapore

Contacts

Public ContactHairil Rizal Abdullah

Singapore General Hospital

hairil.rizal.abdullah@singhealth.com.sg+65 6222 3322

Outcome results

None listed

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