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Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood

Rubén Gómez Rioja1,2, Débora Martínez Espartosa2,3, Marta Segovia1,2

  • 1La Paz - Cantoblanco - Carlos III University Hospital - Laboratory Medicine, Madrid, Spain.

Clinical Chemistry and Laboratory Medicine
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Summary

This study developed consensus stability functions for common blood analytes like glucose and potassium, helping labs define accurate sample stability limits. Differences in allowable error specifications often cause variations in recommended stability limits across studies.

Keywords:
blood specimen collectionpre-analytical phasespecimen handingstability

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Analytical Chemistry

Background:

  • Analyte stability in biological samples is crucial for accurate measurements.
  • Existing studies on blood analyte stability often present conflicting recommendations.
  • Variability in stability limits stems from differing specifications for maximum allowable error.

Purpose of the Study:

  • To classify and grade existing bibliographic studies on the stability of five common blood analytes.
  • To generate a consensus stability function for key blood measurands.
  • To provide a framework for laboratories to define their own stability limits.

Main Methods:

  • Conducted a bibliographic search for stability studies of alanine aminotransferase (ALT), glucose, phosphorus, potassium, and prostate specific antigen (PSA) in blood.
  • Evaluated study quality using an in-house grading tool and uniformly defined stability conditions.
  • Scattered percent deviation (PD%) data over time, unifying similar experimental conditions.

Main Results:

  • Evaluated 130 experiments from 37 valid articles, including 629 PD% data points for the five analytes.
  • Established consensus stability equations for glucose, potassium, phosphorus, and PSA.
  • Could not establish a consensus stability equation for ALT due to insufficient or conflicting data.

Conclusions:

  • Time is the primary factor influencing the stability of medical laboratory samples.
  • Consensus stability functions, tailored to specific conditions, aid laboratories in setting their own quality specifications for stability limits.
  • Standardizing stability assessment can reduce discrepancies in recommended analyte stability.