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Updated: Feb 26, 2026

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Be on alert for pediatric AKI
Nicholas M Selby1, Rachel Lennon2
1Centre for Kidney Research and Innovation, Division of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, Nottingham, England, UK; Department of Renal Medicine, Royal Derby Hospital, Uttoxeter Road, Derby DE22 3NE, England, UK.
Insights
Pediatric acute kidney injury (AKI) impacts children negatively. A new automated method provides national epidemiologic data across various care settings, improving understanding of AKI prevalence and outcomes.
Area of Science:
- Pediatric Nephrology
- Epidemiology
- Health Informatics
Background:
- Acute kidney injury (AKI) in children is linked to poor health outcomes.
- Current understanding of pediatric AKI is primarily derived from intensive care unit (ICU) data.
- Limited data exists on AKI across diverse healthcare settings.
Purpose of the Study:
- To determine the national epidemiology of pediatric acute kidney injury (AKI).
- To utilize an automated AKI detection method for data acquisition.
- To analyze AKI incidence in outpatient, inpatient, and ICU settings.
Main Methods:
- Employed an automated method for detecting acute kidney injury (AKI).
- Collected national-level epidemiologic data on pediatric AKI.
- Included data from outpatient, inpatient, and intensive care unit (ICU) environments.
Main Results:
- The automated method enabled large-scale data collection on pediatric AKI.
- Epidemiologic data was obtained across multiple healthcare settings.
- Provided a comprehensive national overview of AKI in children.
Conclusions:
- Automated detection offers a robust approach to studying pediatric AKI epidemiology.
- Understanding AKI across all care settings is crucial for improving child health outcomes.
- Further considerations for this methodology are important for future research.
Abstract:
Acute kidney injury in children is associated with adverse outcomes, although much of our current understanding originates from studies in intensive care units. Holmes et al. used an automated acute kidney injury detection method to obtain epidemiologic data on pediatric acute kidney injury at a national level in outpatient, inpatient, and intensive care unit settings. We discuss the impact of these important results and the considerations needed with this approach.
Related Concept Videos
Acute Kidney Injury I: Introduction
Acute Kidney Injury V: Interprofessional Care
Acute Kidney Injury II: Pathophysiology
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Acute Kidney Injury III: Clinical Manifestations
Acute Kidney Injury VI: Nursing Management

