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Related Experiment Videos

[Our experience with outside laboratory quality control].

D Dochev, V Arakasheva, A Nashkov

    Vutreshni Bolesti
    |January 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

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    Clinical diagnostic laboratory quality control data from 1975-1977 revealed significant interlaboratory discrepancies. Key analytes like total protein and cholesterol showed higher accuracy, while others like sodium and calcium had lower admissibility rates.

    Area of Science:

    • Clinical Diagnostics
    • Laboratory Quality Control
    • Medical Laboratory Science

    Background:

    • National qualitative control programs are essential for ensuring the reliability of clinical diagnostic laboratory investigations.
    • Interlaboratory comparisons provide a framework for assessing laboratory performance and identifying areas for improvement.

    Purpose of the Study:

    • To describe the results of national outside laboratory qualitative control for clinical diagnostic investigations.
    • To analyze interlaboratory discrepancies in key biochemical analytes based on variation coefficients.

    Main Methods:

    • Systematic analysis of data from two ring-like check-ups (November 1976 and May 1977).
    • Calculation of variation coefficients (V.C. %) to express interlaboratory discrepancies.

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  • Assessment of the percentage of admissible results for various analytes.
  • Main Results:

    • Interlaboratory discrepancies varied by analyte group: <10% for total protein, sodium, potassium, chlorides; 10-20% for cholesterol, urea, total fats; >20% for calcium, phosphorus, iron, creatinine.
    • Highest admissibility rates were observed for total protein (to 85%), cholesterol (to 70.38%), glucose (to 73.17%), urea (to 69.23%), potassium (to 59.46%), and chlorides (to 57.9%).
    • Sodium, phosphorus, calcium, iron, creatinine, and uric acid showed admissibility rates around or below 50%.

    Conclusions:

    • The study highlights significant variability in the quality control performance of clinical diagnostic laboratories.
    • Certain analytes demonstrate better interlaboratory agreement and higher admissibility than others.
    • The observed quality control index values are comparable to those reported in international interlaboratory comparisons.