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Updated: May 5, 2026

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
ADVANCE: a biomedical informatics approach to investigate acute kidney injury in infants
Jennifer A Rumpel1, Sofia Perazzo2, Jonathan Bona3
1University of Arkansas for Medical Sciences, Little Rock, AR, USA. JARumpel@uams.edu.
Insights
A new database, ADVANCE, was created to study acute kidney injury (AKI) in infants in neonatal intensive care units (NICUs). This tool helps analyze AKI
Area of Science:
- Neonatal research
- Biomedical informatics
- Pediatric nephrology
Background:
- Acute kidney injury (AKI) affects up to 50% of infants in neonatal intensive care units (NICUs).
- AKI in neonates is linked to increased mortality and prolonged hospital stays.
- Understanding AKI's impact in Level-IV NICUs is crucial for vulnerable infants.
Purpose of the Study:
- To develop a comprehensive relational database for studying AKI in infants admitted to Level-IV NICUs.
- To create a granular dataset for analyzing the effects of AKI on neonates.
- To establish a research tool for investigating AKI epidemiology in a large cohort.
Main Methods:
- A biomedical informatics approach was used to build the ADVANCE relational database.
- Data from the Children's Hospitals Neonatal Database were linked with electronic health records from nine centers.
- The database integrates AKI-specific data for a detailed analysis of neonatal outcomes.
Main Results:
- The study cohort includes 24,870 infants with a median gestational age of 37 weeks.
- The cohort has a male predominance (57%) and diverse maternal ethnicity (9.8% Hispanic).
- Overall in-hospital mortality was 5.8%.
Conclusions:
- The ADVANCE relational database is an innovative tool for studying AKI epidemiology in infants.
- This database facilitates rigorous research on risk factors and outcomes of AKI in a vulnerable population.
- The methodology highlights the successful integration of multi-center data for neonatal health research.
Background:
Acute kidney injury (AKI) occurs in up to half of infants admitted to the neonatal intensive care unit (NICU) and is associated with increased risks of death and more days of mechanical ventilation, hospitalization, and vasopressor drug support. Our objective was to build a granular relational database to study the impact that AKI has on infants admitted to Level-IV NICUs.
Methods:
A relational database was created by linking data from the Children's Hospitals Neonatal Database with AKI-focused data from electronic health records from 9 centers.
Results:
The current cohort consists of 24,870 infants with a median (IQR) gestational age of birth of 37 weeks (32 weeks, 39 weeks), and a median birth weight of 2.720 kg (1.750 kg, 3.310 kg). There was a male predominance with 14,214 (57%) males. In all, 2434 (9.8%) of the mothers were of Hispanic ethnicity. The maternal race breakdown of the cohort was as follows: 741 (3.0%) Asian, 5911 (24%) Black, and 14,945 (60%) White. Overall mortality was 5.8%.
Conclusion:
The ADVANCE relational database is an innovative research tool to rigorously study the epidemiology of AKI in a large national cohort of infants admitted to Level-IV NICUs involved in the Children's Hospital Neonatal Consortium.
Impact:
We used a biomedical informatics approach to build a relational database to study acute kidney injury in infants. We highlight our methodology linking Children's Hospital Neonatal Consortium and electronic health record data from nine neonatal intensive care units. The ADVANCE relational database is a granular and innovative research tool to study risk factors and in-hospital outcomes of acute kidney injury and mortality in a vulnerable patient population.
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Acute Pyelonephritis I: Introduction
Acute Kidney Injury I: Introduction
Acute Kidney Injury II: Pathophysiology
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Acute Kidney Injury V: Interprofessional Care
Acute Kidney Injury VI: Nursing Management

