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

Thumbnail
View/Open
Issue date
2018-05-05
Author
Gómez Rioja, Rubén
Martínez Espartosa, Débora
Segovia, Marta
Ibarz Escuer, Mercedes
Llopis, María Antonia
Bauçà, Josep Miquel
Marzana, Itziar
Barba, Nuria
Ventura, Monserrat
García del Pino, Isabel
Puente, Juan José
Caballero, Andrea
Gómez, Carolina
García Álvarez, Ana
Alsina, María Jesús
Álvarez, Virtudes
Suggested citation
Gómez Rioja, Rubén; Martínez Espartosa, Débora; Segovia, Marta; Ibarz Escuer, Mercedes; Llopis, María Antonia; Bauçà, Josep Miquel; ... Álvarez, Virtudes. (2018) . Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood magnitudes. Clinical Chemistry and Laboratory Medicine, 2018, vol. 56, num. 11, p. 1806-1818. https://doi.org/10.1515/cclm-2017-1189.
Impact

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
Abstract
Background: The stability limit of an analyte in a biological sample can be defined as the time required until a measured property acquires a bias higher than a defined specification. Many studies assessing stability and presenting recommendations of stability limits are available, but differences among
them are frequent. The aim of this study was to classify and to grade a set of bibliographic studies on the stability of five common blood measurands and subsequently generate a consensus stability function. Methods: First, a bibliographic search was made for stability studies for five analytes in blood: alanine aminotransferase (ALT), glucose, phosphorus, potassium and prostate specific antigen (PSA). The quality of every study was evaluated using an in-house grading tool. Second, the different conditions of stability were uniformly defined and the percent deviation (PD%) over time for each analyte and condition were scattered while unifying studies with similar conditions. Results: From the 37 articles considered as valid, up to 130 experiments were evaluated and 629 PD% data were included (106 for ALT, 180 for glucose, 113 for phosphorus, 145 for potassium and 85 for PSA). Consensus stability equations were established for glucose, potassium, phosphorus and PSA, but not for ALT. Conclusions: Time is the main variable affecting stability in medical laboratory samples. Bibliographic studies differ in recommedations of stability limits mainly because of different specifications for maximum allowable error. Definition of a consensus stability function in specific conditions can help laboratories define stability limits using their own quality specifications.
URI
http://hdl.handle.net/10459.1/65373
DOI
https://doi.org/10.1515/cclm-2017-1189
Is part of
Clinical Chemistry and Laboratory Medicine, 2018, vol. 56, num. 11, p. 1806-1818
Collections