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Use of patient data in calculation of reference intervals for complete blood count parameters; how reliable?

Chandana Wickramaratne Kurukula Arachchi1,2, Devika Champa Wijewickrama3

  • 1Department of Pathology, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.

Scandinavian Journal of Clinical and Laboratory Investigation
|July 27, 2021
PubMed

Insights

Calculating reference intervals (RI) for complete blood count (CBC) tests using stored patient data is a cost-effective and reliable alternative to traditional methods. This approach ensures accurate RI for clinical care.

Area of Science:

  • Clinical Chemistry
  • Hematology
  • Laboratory Medicine

Background:

  • Establishing reference intervals (RI) for quantitative tests is essential for clinical diagnostics.
  • Traditional RI calculation methods are expensive and time-consuming.
  • Limited research exists on using patient data for complete blood count (CBC) RI.

Purpose of the Study:

  • To evaluate the feasibility of using stored patient data for calculating CBC reference intervals.
  • To determine if this method is a less costly and reliable alternative.

Main Methods:

  • A retrospective cross-sectional study utilized a large hospital laboratory database of adult CBC reports (18-60 years).
  • Data were categorized by patient type and routine health checkups, then stratified by gender.
  • Clinically relevant criteria and statistical tools were applied for data refinement and RI calculation.

Main Results:

  • All analyzed CBC parameter datasets exhibited a Gaussian distribution.
  • RI calculated from patient data showed no clinically significant discrepancies compared to literature, manufacturer values, and healthy subject data.
  • The study confirmed the applicability of patient data for RI determination.

Conclusions:

  • Large patient databases, when refined with appropriate criteria and statistical methods, can be effectively utilized for calculating CBC reference intervals.
  • This approach offers a cost-effective and reliable alternative for establishing essential diagnostic benchmarks.

Keywords:
Complete blood counthaematology parametersindirect methodreference intervalsstored data

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