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Related Experiment Videos

Confirmation and certainty in toxicology screening.

V R Spiehler1, C M O'Donnell, D V Gokhale

  • 1Diagnostic Products Corp., Los Angeles, CA.

Clinical Chemistry
|August 1, 1988
PubMed
Summary

Confirming urine drug screens is crucial to avoid false positives. The predictive value model, considering test accuracy and prevalence, helps select optimal confirmation tests and increases result confidence.

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Area of Science:

  • Clinical Chemistry
  • Toxicology
  • Medical Diagnostics

Background:

  • Presumptive positive urine drug screens require confirmation to prevent false-positive reporting.
  • Confirmation testing can be resource-intensive, necessitating efficient strategies.

Purpose of the Study:

  • To evaluate the utility of the predictive value model in optimizing urine drug screen confirmation.
  • To assess the impact of prevalence on the confidence of toxicology screening results.

Main Methods:

  • Applied the predictive value model using sensitivity, specificity, and prevalence data.
  • Calculated the predictive value of positive screening tests under varying prevalence conditions.
  • Modeled the effect of confirmatory testing on predictive value.

Main Results:

  • Prevalence significantly influences the confidence of urine drug screen results, alongside sensitivity and specificity.
  • A screening test with 99% sensitivity and specificity yields a 50% predictive value at 1% prevalence, increasing to 92% at 10% prevalence.
  • A second, independent confirmatory test elevates predictive value to 99%.

Conclusions:

  • The predictive value model is essential for selecting appropriate confirmatory tests in urine drug screening.
  • Incorporating prevalence into the predictive value model enhances the reliability of toxicology results.
  • Strategic confirmation testing significantly boosts the confidence of drug abuse screening outcomes.

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