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Subject-based reference values

H E Solberg1

  • 1Department of Clinical Chemistry, Rikshospitalet, Oslo, Norway.

Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum
|January 1, 1995
PubMed
Summary
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Comparing new medical test results to an individual's past results, or subject-based reference values, is more sensitive than using general group values. This approach improves the detection of significant physiological changes in patients.

Area of Science:

  • Clinical Chemistry
  • Biomedical Engineering
  • Medical Diagnostics

Background:

  • Medical decisions often rely on comparing patient values to group-based reference ranges.
  • Group-based comparisons can lack sensitivity in detecting individual physiological changes.
  • Standard subgrouping (e.g., by age, sex) often fails to fully address this limitation.

Purpose of the Study:

  • To highlight the limitations of group-based reference values in medical decision-making.
  • To propose subject-based reference values as a superior alternative.
  • To introduce methods for utilizing individual historical data for improved diagnostic sensitivity.

Main Methods:

  • The study contrasts the use of group-based reference values with subject-based reference values.

Related Experiment Videos

  • It discusses two criteria for subject-based comparisons: reference change limits and time-series models.
  • The focus is on the analytical approach to individualizing medical data interpretation.

    • Main Results:

    • Subject-based reference values demonstrate higher sensitivity to individual biochemical or physiological state changes compared to group-based values.
    • The limitations of traditional subgrouping methods are confirmed.
    • Critical difference analysis and time-series modeling are presented as viable methods for subject-based comparisons.

    Conclusions:

    • Individualized, subject-based reference values offer a more sensitive approach for medical decision-making.
    • Comparing current results to an individual's historical data is clinically advantageous.
    • Reference change limits and time-series models provide robust frameworks for implementing subject-based reference values.