Preoperative prediction of acute kidney injury--from clinical scores to biomarkers

Pediatr Nephrol. 2013 Aug;28(8):1173-82. doi: 10.1007/s00467-012-2355-x. Epub 2012 Nov 10.

Abstract

Early acute kidney injury (AKI) diagnosis in critically ill children has been an important recent research focus because of the known association of AKI with poor outcomes and the requirement of early intervention to mitigate negative effects of AKI. In children having surgery, the preoperative period offers a unique opportunity to predict postoperative acute kidney injury (AKI), well before AKI occurs. Pediatric AKI epidemiologic studies have begun to identify which preoperative factors may predict development of postoperative cardiac surgery. Using these clinical risk factors, it may be possible to derive preoperative clinical risk scores and improve upon our ability to risk-stratify children into AKI treatment trials, pre-emptively provide conservative renal injury prevention strategies, and ultimately improve patient outcomes. Developing risk scores requires rigorous methodology and validation before widespread use. There is little information currently on the use of preoperative biological or physiological biomarkers to predict postoperative AKI, representing an important area of future research. This review will provide an overview of methodology of preoperative risk score development, discuss pediatric-specific issues around deriving such risk scores, including the combination of preoperative clinical and biologic biomarkers for AKI prediction, and suggest future research avenues.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Acute Kidney Injury / diagnosis
  • Acute Kidney Injury / epidemiology*
  • Acute Kidney Injury / prevention & control
  • Adult
  • Age Factors
  • Biomarkers / analysis*
  • Child
  • Decision Support Techniques*
  • Humans
  • Multivariate Analysis
  • Postoperative Complications / diagnosis
  • Postoperative Complications / epidemiology*
  • Postoperative Complications / prevention & control
  • Predictive Value of Tests
  • Prognosis
  • Risk Assessment
  • Risk Factors

Substances

  • Biomarkers