Point-of-Care Urinary Biomarker Testing for Risk Prediction in Critically Injured Combat Casualties

J Am Coll Surg. 2019 Nov;229(5):508-515.e1. doi: 10.1016/j.jamcollsurg.2019.07.003. Epub 2019 Jul 19.

Abstract

Background: Risk prediction is important during combat operations because resources are limited and triage decisions must be rapid and accurate. We evaluated 2 point-of-care urinary biomarker tests for risk prediction in combat casualties.

Study design: This was an observational cohort study of critically injured military personnel admitted to Craig Joint Theater Hospital in Afghanistan from October 2012 to December 2013. We collected urine within 3 hours of admission and measured urinary biomarkers with NephroCheck and a neutrophil gelatinase-associated lipocalin dipstick (NGALds) to evaluate their ability to predict a combined end point of need for renal replacement therapy or death. Odds ratios (ORs) were calculated and receiver operator characteristic curves were generated for both tests.

Results: A total of 89 patients were included for analysis. The median Injury Severity Score was 18 and the combined end point occurred in 12 (13.5%) patients. NephroCheck was not associated with the combined end point (OR 1.56; 95% CI 0.81 to 3.03; p = 0.19) and the area under the curve of the receiver operator characteristic curve was 0.65. The NGALds was highly associated with the combined end point (OR 4.93; 95% CI 2.18 to 11.14; p < 0.001) and the area under the curve of the receiver operator characteristic curve was 0.84. The NGALds remained significantly associated with the combined end point in a logistic regression model that included Injury Severity Score as a covariate (OR 4.10; 95% CI 1.74 to 9.67; p = 0.001).

Conclusions: Measurement of urinary biomarkers with an NGALds, but not NephroCheck, predicts poor outcomes in combat casualties. An NGALds is a simple urine dipstick that could be deployed to combat zones to prioritize aeromedical evacuation, help with triage decisions, and predict resource use.

Publication types

  • Observational Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Afghanistan
  • Biomarkers / urine*
  • Female
  • Humans
  • Injury Severity Score
  • Lipocalin-2 / urine
  • Male
  • Military Personnel*
  • Point-of-Care Systems*
  • Predictive Value of Tests
  • Prospective Studies
  • Retrospective Studies
  • Risk Assessment
  • United States
  • Wounds and Injuries / urine*

Substances

  • Biomarkers
  • Lipocalin-2