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Aberrant PO2 values in proficiency testing

C E Fonzi1, J L Clausen, J Mahoney

  • 1Department of Medicine, University of California San Diego Medical Center 92103.

Clinical Chemistry
|March 1, 1993
PubMed
Summary
This summary is machine-generated.

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Aberrant vials in blood gas proficiency testing are rare, occurring in only 0.25% of samples, primarily affecting oxygen measurements (PO2). This low frequency suggests reliable testing materials for pH, PCO2, and PO2 analysis.

Area of Science:

  • Clinical Chemistry
  • Medical Diagnostics
  • Laboratory Medicine

Background:

  • Proficiency testing is crucial for ensuring the accuracy of blood gas measurements.
  • Aberrant control materials can lead to inaccurate patient results and misdiagnosis.
  • Fluorocarbon/buffer vials are commonly used as control materials for blood gas analysis.

Purpose of the Study:

  • To determine the frequency of aberrant vials in fluorocarbon/buffer used for blood gas proficiency testing.
  • To assess the impact of vial contamination on measurement accuracy.
  • To evaluate the reliability of control materials for pH, PCO2, and PO2.

Main Methods:

  • Prospective analysis of 1620 duplicate vials from 12 lots across eight reference laboratories.
  • Utilized two arterial blood gas analyzers for measurements.

Related Experiment Videos

  • Defined aberrant vials based on specific criteria for pH, PCO2, and PO2 deviations from mean values.

    • Main Results:

    • Only 0.25% (4 out of 1620) of vials were identified as aberrant, all related to PO2 measurements below 70 mm Hg.
    • Intra-instrument standard deviations were low: 0.0055 for pH, 0.67 mm Hg for PCO2, and 1.65 mm Hg for PO2.
    • Room air contamination during sampling had a minor impact on PO2, but syringe contamination caused larger increases.

    Conclusions:

    • Isolated aberrant measurements in blood gas proficiency testing due to vial contents are infrequent.
    • The reliability of fluorocarbon/buffer vials as control materials for pH, PCO2, and PO2 is generally high.
    • Quality control measures should consider potential sources of error, including sample handling and contamination.