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Related Experiment Videos

Current databases on biological variation: pros, cons and progress.

C Ricós1, V Alvarez, F Cava

  • 1Biochemistry Department, Vall d'Hebron General Hospital, Barcelona, Spain.

Scandinavian Journal of Clinical and Laboratory Investigation
|February 10, 2000
PubMed
Summary
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This study created a database of analytical quality specifications for clinical laboratory tests by correlating biological variation data. It provides crucial quality specifications for precision, bias, and total error, aiding laboratory medicine professionals.

Area of Science:

  • Clinical Laboratory Medicine
  • Analytical Chemistry
  • Biostatistics

Background:

  • Establishing reliable analytical quality specifications is crucial for clinical laboratory tests.
  • Previous efforts lacked a systematic approach correlating biological variation with quality specifications.
  • A comprehensive database is needed to support evidence-based quality control in laboratory diagnostics.

Purpose of the Study:

  • To develop a database of analytical quality specifications for clinical laboratory tests.
  • To utilize biological variation data to derive these specifications.
  • To provide a resource for improving the reliability of laboratory test results.

Main Methods:

  • Compiled data from published literature (BIOS, CURRENT CONTENTS, EMBASE, MEDLINE) and other sources using "biological variation & laboratory medicine" keywords.

Related Experiment Videos

  • Correlated descriptive data and observations with biological variation information.
  • Calculated within- and between-subject coefficients of variation to derive quality specifications for precision, bias, and total error.

    • Main Results:

    • A database covering 316 quantities was created, reviewing 191 articles.
    • Quality specifications for precision, bias, and total error were derived based on biological variation.
    • Sex-related stratification was justified for only four quantities; pathological variation sometimes exceeded healthy variation, necessitating stringent specifications.
    • Discrepant results and limited data were noted for several quantities, particularly hormones.

    Conclusions:

    • The developed database provides a robust foundation for analytical quality specifications in laboratory medicine.
    • Professionals are encouraged to investigate quantities with discrepant results or limited published data.
    • This work highlights the importance of biological variation in setting meaningful quality targets for clinical tests.