Literature DB >> 21524644

Revaluation of biological variation of glycated hemoglobin (HbA(1c)) using an accurately designed protocol and an assay traceable to the IFCC reference system.

Federica Braga1, Alberto Dolci, Martina Montagnana, Franca Pagani, Renata Paleari, Gian Cesare Guidi, Andrea Mosca, Mauro Panteghini.   

Abstract

BACKGROUND: Glycated hemoglobin (HbA(1c)) has a key role for diagnosing diabetes and monitoring glycemic state. As recently reviewed, available data on HbA(1c) biological variation show marked heterogeneity. Here we experimentally revaluated these data using a well designed protocol.
METHODS: We took five EDTA whole blood specimens from 18 apparently healthy subjects on the same day, every two weeks for two months. Samples were stored at -80°C until analysis and assayed in duplicate in a single run by Roche Tina-quant® Gen.2 immunoassay. Data were analyzed by the ANOVA. To assess the assay traceability to the IFCC reference method, we preliminarily carried out a correlation experiment.
RESULTS: The bias (mean±SD) of the Roche immunoassay was 0.3%±0.7%, confirming the traceability of the employed assay. No difference was found in HbA(1c) values between men and women. Within- and between-subject CV were 2.5% and 7.1%, respectively. Derived desirable analytical goals for imprecision, bias, and total error resulted 1.3%, 1.9%, and 3.9%, respectively. HbA(1c) had marked individuality, limiting the use of population-based reference limits for test interpretation. The estimated critical difference was ~10%.
CONCLUSIONS: For the first time we defined biological variation and derived indices for the clinical application of HbA(1c) measurements using an accurately designed protocol and an assay standardized according to the IFCC.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21524644     DOI: 10.1016/j.cca.2011.04.014

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  7 in total

Review 1.  Methods, units and quality requirements for the analysis of haemoglobin A1c in diabetes mellitus.

Authors:  Ilkka Penttilä; Karri Penttilä; Päivi Holm; Harri Laitinen; Päivi Ranta; Jukka Törrönen; Rainer Rauramaa
Journal:  World J Methodol       Date:  2016-06-26

2.  Total Short-term Variability in Biomarkers of Hyperglycemia in Older Adults.

Authors:  Christina M Parrinello; Pamela L Lutsey; David Couper; John H Eckfeldt; Michael W Steffes; Josef Coresh; Elizabeth Selvin
Journal:  Clin Chem       Date:  2015-10-26       Impact factor: 8.327

3.  Investigation of 2 models to set and evaluate quality targets for hb a1c: biological variation and sigma-metrics.

Authors:  Cas Weykamp; Garry John; Philippe Gillery; Emma English; Linong Ji; Erna Lenters-Westra; Randie R Little; Gojka Roglic; David B Sacks; Izumi Takei
Journal:  Clin Chem       Date:  2015-03-03       Impact factor: 8.327

4.  Evaluation of Analytical Performance of Variant II Turbo HbA1c Analyzer According to Sigma Metrics.

Authors:  Giray Bozkaya; Nuriye Uzuncan; Sibel Bilgili; Ozlem Demirezen
Journal:  J Med Biochem       Date:  2019-03-01       Impact factor: 3.402

5.  Estimation of the glycation gap in diabetic patients with stable glycemic control.

Authors:  Santiago Rodríguez-Segade; Javier Rodríguez; José M García Lopez; Felipe F Casanueva; Félix Camiña
Journal:  Diabetes Care       Date:  2012-09-06       Impact factor: 19.112

6.  Application of sigma metrics for the assessment of quality assurance using the MQ-2000 PT HbA1c analyzer.

Authors:  Kağan Huysal; Yasemin U Budak
Journal:  Biochem Med (Zagreb)       Date:  2015-10-15       Impact factor: 2.313

7.  Hemoglobin glycation index as a useful predictor of therapeutic responses to dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes.

Authors:  Yu-Wei Chen; Jun-Sing Wang; Wayne H-H Sheu; Shih-Yi Lin; I-Te Lee; Yuh-Min Song; Chia-Po Fu; Chia-Lin Lee
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

  7 in total

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