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Related Experiment Video

Updated: Dec 31, 2025

The Visual Colorimetric Detection of Multi-nucleotide Polymorphisms on a Pneumatic Droplet Manipulation Platform
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Optimized Delta Check Rules for Detecting Misidentified Specimens in Children.

Rui Zhen Tan1, Corey Markus2, Kay Weng Choy3

  • 1Engineering Cluster, Singapore Institute of Technology, Singapore.

American Journal of Clinical Pathology
|January 1, 2020
PubMed
Summary

Delta checks poorly detect misidentified pediatric samples. Optimized rules showed low accuracy, potentially causing false alarms and delayed results in pediatric laboratory testing.

Keywords:
ChildrenDelta checkPediatricPreanalytical errorSample mix-upWrong blood in tube

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Pediatric Diagnostics

Background:

  • Preanalytical processes in pediatric care are often manual, increasing the risk of errors.
  • Accurate identification of pediatric patient samples is critical for reliable diagnostic testing.

Purpose of the Study:

  • To evaluate the effectiveness of optimized delta check rules for identifying mislabeled pediatric samples.
  • To determine the optimal delta check limits for pediatric laboratory tests.

Main Methods:

  • Assessed relative and absolute difference delta check limits on paired pediatric lab results.
  • Simulated sample mislabeling to test sensitivity, specificity, and accuracy.
  • Determined optimal delta check limits based on highest accuracy.

Main Results:

  • Delta check limits demonstrated poor to moderate accuracy (0.50-0.81) in detecting misidentified samples.
  • Sensitivity and specificity for identifying mislabeled samples were low across various delta check limits.
  • Both relative and absolute difference delta check rules performed similarly.

Conclusions:

  • Delta check methods exhibit poor performance in the pediatric population.
  • High false-positive rates can lead to unnecessary investigations and reporting delays.
  • Optimized pediatric delta checks correlate with biologic variation but not the index of individuality.