A Prediction Model for Positive Infant Meconium and Urine Drug Tests

Elizabeth A Simpson1, David A Skoglund1, Sarah E Stone2

  • 1Department of Pediatrics, Children's Mercy Kansas City, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.

Insights

This study identified four key factors predicting positive infant drug tests, simplifying screening. If a mother tests negative for drug use, infant drug testing may be unnecessary.

Area of Science:

  • Neonatal Abstinence Syndrome
  • Neonatal Drug Screening
  • Clinical Decision Support

Background:

  • Infant drug screening practices vary widely.
  • Predictive factors for positive infant drug tests are not well-established.
  • Current screening methods may lead to unnecessary testing.

Purpose of the Study:

  • To identify factors associated with positive infant drug screens.
  • To develop a shortened, predictive screening model for infants.
  • To reduce unnecessary infant drug testing.

Main Methods:

  • Retrospective cohort study of infants tested for drugs of abuse.
  • Multivariable logistic regression to identify risk factors.
  • Analysis of test characteristics for a proposed simplified screen.

Main Results:

  • Four factors predicted positive infant drug tests: positive maternal urine test, substance use during pregnancy, ≤1 prenatal visit, and remote substance abuse.
  • A simplified screen using these factors achieved 94% sensitivity and 69% specificity.
  • Implementing this screen could reduce infant drug testing by 57%.
  • No infant tested positive when the maternal drug test was negative.

Conclusions:

  • A simplified screen can effectively guide clinical decisions on infant drug testing.
  • Routine infant urine drug tests may be unnecessary when maternal drug test results are negative.
  • This approach can optimize resource allocation and reduce healthcare costs.
Abstract