Language
English
Publication Date
2-1-2025
Journal
Pediatric Research
DOI
10.1038/s41390-024-03436-5
PMID
39122822
PMCID
PMC12024515
PubMedCentral® Posted Date
8-1-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
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.
Keywords
Humans, Acute Kidney Injury, Female, Male, Infant, Newborn, Intensive Care Units, Neonatal, Infant, Electronic Health Records, Databases, Factual, Medical Informatics, Gestational Age, Risk Factors, Hospital Mortality, Cohort Studies
Published Open-Access
yes
Recommended Citation
Rumpel, Jennifer A; Perazzo, Sofia; Bona, Jonathan; et al., "Advance: A Biomedical Informatics Approach to Investigate Acute Kidney Injury in Infants" (2025). Faculty and Staff Publications. 5967.
https://digitalcommons.library.tmc.edu/baylor_docs/5967