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A proposed framework for advancing acute kidney injury risk stratification and diagnosis in children: a report from the 26th Acute Disease Quality Initiative (ADQI) conference

  • the ADQI 26 workgroup
  • University of Pittsburgh
  • University of Cincinnati
  • Ohio State University
  • Yale New Haven Health System
  • Texas Children's Hospital Houston
  • Northwestern University
  • Cincinnati Children's Hospital Medical Center

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Acute kidney injury (AKI) in children is associated with increased morbidity, reduced health-related quality of life, greater resource utilization, and higher mortality. Improvements in the timeliness and precision of AKI diagnosis in children are needed. In this report, we highlight existing, novel, and on-the-horizon diagnostic and risk-stratification tools for pediatric AKI, and outline opportunities for integration into clinical practice. We also summarize pediatric-specific high-risk diagnoses and exposures for AKI, as well as the potential role of real-time risk stratification and clinical decision support to improve outcomes. Lastly, the key characteristics of important pediatric AKI phenotypes will be outlined. Throughout, we identify key knowledge gaps, which represent prioritized areas of focus for future research that will facilitate a comprehensive, timely and personalized approach to pediatric AKI diagnosis and management.

Original languageEnglish
Pages (from-to)929-939
Number of pages11
JournalPediatric Nephrology
Volume39
Issue number3
DOIs
Publication statusPublished - Mar 2024

Keywords

  • Acute kidney injury
  • Biomarkers
  • Diagnosis
  • Pediatrics
  • Phenotypes
  • Precision medicine

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