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Problems with estimating reference change values (critical differences).

Rainer Haeckel1, Anna Carobene2, Werner Wosniok3

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Summary
This summary is machine-generated.

Reference change values (RCVs) aid disease diagnosis and monitoring. While statistical models yield similar RCVs, their clinical usefulness for certain tests requires further investigation with healthcare professionals.

Keywords:
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Area of Science:

  • Clinical Chemistry
  • Biostatistics
  • Medical Diagnostics

Background:

  • Reference change values (RCVs) are established for disease diagnosis and monitoring.
  • Statistical models, including normal and log-normal distributions, exist for RCV calculation.
  • Previous comparisons show similar RCV results between different models for some measurands.

Purpose of the Study:

  • To compare RCVs calculated using different statistical models.
  • To assess the clinical plausibility and usefulness of RCVs for diagnostic purposes.

Main Methods:

  • Comparison of RCVs derived from normal and log-normal distribution models.
  • Evaluation of RCV plausibility for specific medical measurands.

Main Results:

  • RCVs calculated using normal and log-normal models showed similar results for several measurands.
  • Some calculated RCVs were deemed not plausible for diagnostic applications.
  • The clinical relevance of RCVs remains uncertain for certain measurands.

Conclusions:

  • Statistical models for RCVs are well-established but may produce implausible values for some tests.
  • Further studies involving clinicians are necessary to determine the practical utility of RCVs in clinical practice.