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Related Experiment Videos

Clinical chemistry reference intervals for healthy elderly subjects.

P J Garry1, W C Hunt, D J VanderJagt

  • 1University of New Mexico, School of Medicine, Department of Pathology and Family, Albuquerque 87131.

The American Journal of Clinical Nutrition
|November 1, 1989
PubMed
Summary

This study analyzed yearly changes in clinical chemistry analytes for 304 elderly individuals. It established reference intervals and quantified biological variation for aging and nutrition research.

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Area of Science:

  • Gerontology
  • Clinical Chemistry
  • Nutritional Science

Background:

  • Longitudinal studies are crucial for understanding aging processes.
  • Reference intervals and variance components inform clinical interpretation.
  • Aging and nutrition significantly impact physiological parameters.

Purpose of the Study:

  • To establish reference intervals for clinical chemistry analytes in healthy elderly individuals.
  • To determine between- and within-subject variance components for these analytes.
  • To quantify percentiles for yearly changes, separating analytical and biological variance.

Main Methods:

  • Recruited 304 healthy elderly participants in New Mexico in 1979 for a longitudinal study.
  • Performed yearly repeat measurements of common clinical chemistry analytes.

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  • Calculated reference intervals, variance components, and percentiles for change over time.

    • Main Results:

    • The upper 95th percentile for yearly differences varied widely, from 4% (Na+) to over 90% (ferritin).
    • Biological variance components ranged from 2% (Na+) to 70% (gamma-glutamyltransferase) of the population mean.
    • Significant year-to-year biological variation was observed for multiple analytes.

    Conclusions:

    • Yearly biological variation in clinical chemistry analytes is substantial in the elderly population.
    • These findings are essential for accurate interpretation of longitudinal data in aging and nutrition studies.
    • Established variance components can refine reference intervals and improve clinical decision-making.