Analytical performance specifications based on biological variation data – considerations, strengths and limitations
Sverre Sandberg, Abdurrahman Coşkun, Anna Carobene, Pilar Fernández–Calle, Jorge Díaz–Garzón, William A. Bartlett, Niels Jonker, Kornelia Galior, Elisabet Gonzales-Lao, Isabel Moreno-Parro, Berta Sufrate-Vergara, Craig Webster, Aasne K. Aarsand
Abstract
Analytical performance specifications (APS) are typically established through one of three models: (i) outcome studies, (ii) biological variation (BV), or (iii) state-of-the-art. Presently, The APS can, for most measurands that have a stable concentration, be based on BV. BV based APS, defined for imprecision, bias, total allowable error and allowable measurement uncertainty, are applied to many different processes in the laboratory. When calculating APS, it is important to consider the different APS formulae, for what setting they are to be applied and if they are suitable for the intended purpose. In this opinion paper, we elucidate the background, limitations, strengths, and potential intended applications of the different BV based APS formulas. When using BV data to set APS, it is important to consider that all formulae are contingent on accurate and relevant BV estimates. During the last decade, efficient procedures have been established to obtain reliable BV estimates that are presented in the EFLM biological variation database. The database publishes detailed BV data for numerous measurands, global BV estimates derived from meta-analysis of quality-assured studies of similar study design and automatic calculation of BV based APS.