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Inherent biological variation and reference values.

Callum G Fraser1

  • 1Biochemical Medicine, Tayside University Hospitals, Ninewells Hospital and Medical School, Dundee, Scotland. callum.fraser@tuht.scot.nhs.uk

Clinical Chemistry and Laboratory Medicine
|August 26, 2004
PubMed
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Revisiting laboratory reference values is crucial for effective clinical use. Understanding biological variation and individual differences improves data interpretation and patient care.

Area of Science:

  • Clinical Laboratory Science
  • Biostatistics
  • Medical Diagnostics

Background:

  • Conventional population-based reference values require theoretical and practical reassessment for optimal clinical utility.
  • Understanding biological variation is fundamental for generating and applying reference values in medical laboratories.
  • Biological changes throughout life necessitate consideration for age-stratified reference values.

Purpose of the Study:

  • To advocate for a re-evaluation of population-based reference values in laboratory medicine.
  • To highlight the importance of biological variation in the interpretation of laboratory data.
  • To emphasize the clinical benefits of individual-specific reference values.

Main Methods:

  • Review of theoretical concepts and practical applications of reference values.

Related Experiment Videos

  • Analysis of biological variation, including age-related changes and cyclical rhythms.
  • Examination of within- and between-subject variability in laboratory measurements.

    • Main Results:

    • Biological variation significantly impacts the generation and application of reference values.
    • Individuality in biological quantities explains limitations in population screening.
    • Stratification of reference values, particularly by age, is often advantageous.

    Conclusions:

    • Rethinking conventional reference values is essential for improving clinical laboratory data use.
    • Acknowledging biological individuality supports the use of individual-specific reference values.
    • Accurate interpretation of laboratory data requires understanding biological variation and timing.