Vidali Matteo, Paleari Renata, Ceriotti Ferruccio, Bernardini Sergio, Giambini Ilio, Brugnoni Duilio, Trainini Laura, Carru Ciriaco, Porcu Filippo, Carta Mariarosa, Giavarina Davide, Ciaccio Marcello, Lo Sasso Bruna, Corso Gaetano, Paolillo Carmela, Dorizzi Romolo, Rosetti Marco, Fiorini Marcello, Bombara Maria, Grosso Michela, Giuliano Mariarosaria, Locatelli Massimo, Lucci Antonella, Mencarelli Francesca, Scattolo Novella, Strollo Marta, Mosca Andrea
Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Dept. of Physiopathology and Transplantation, Università degli Studi di Milano, Milano, Italy.
Clin Chim Acta. 2023 Oct 1;550:117564. doi: 10.1016/j.cca.2023.117564. Epub 2023 Sep 23.
The monitoring of yearly distributions of HbA measured has been indicated as a reliable indicator of worldwide standardization.
Measurements/year of HbA have been collected over three consecutive years in 15 Italian laboratories each using the same analytical method over three years period. HbA distributions, cleaned of replicated measurements, were compared by the overlapping area of the raw probability density functions expressed by coefficient eta (η), and by comparing the reference intervals for the central part of each distribution estimated by the indirect method refineR using the R package "refineR".
According to the overlapping areas analysis the distributions/year of the data provided by 4 centers able to perform at least 1000 measurements/year were similar in 2 consecutive years. Moreover, the reference intervals provided by 2 centers using the same analytical methods in two separate locations over the three consecutive years, were very similar. The highest overlap (99.7 %) was observed in one center over two consecutive years. The overlapping areas were very high (93.6-95.7%) in 8 out of 9 inter-comparisons.
Despite the limitations of this study the yearly distribution of the HbA measured in various centers appears a reliable tool to test HbA standardization over different centers using different analytical methods.