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EQA quantification HbA1c Diabetes– Long-term and SIGMA analytical performance for Twenty one Portuguese Laboratories

Authors :
Miranda, Armandina
Silva, Susana Pereira
Reguengos, João
Requeijo, José
Correia, Helena
Cardoso, Ana
Meijer, Piet
Faria, Ana Paula
Publication Year :
2017
Publisher :
Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, 2017.

Abstract

Este poster ganhou o prémio de melhor poster apresentado. Glycated hemoglobin (HbA1c) plays a crucial role in the monitoring and diagnosis of diabetes. In Portugal 9,8% of the population has diabetes (HbA1c ≥ 6,5% or treatment with glucose-lowering medications). Six sigma metrics combine bias, precision, and allowable total error (Tea), and can be used for assessing the quality of the analytic phase. The main objective of this study was to apply a linear regression model for long-term evaluation of the precision and inaccuracy, and apply the sigma metric to evaluate the performance of laboratories in HbA1c quantification. N/A

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..074d02c872c7a5c70a343a306128559b