Literature DB >> 29916732

Accuracy of HbA1c as Monitored by External Quality Assessment and Compared With Patient Mean Values.

Gunnar Nordin1.   

Abstract

BACKGROUND: The accuracy and trueness of results from a laboratory test, such as the HbA1c test, should not be taken for granted but must be checked continuously. A tool for this is the participation in external quality assessment (EQA) for all laboratories performing the HbA1c-test. An additional possibility to detect changes in trueness is to monitor variations in patient cohort mean or median values that is not explained by changes in treatment or selection of patients.
METHODS: Results reported to an EQA scheme for HbA1c during 20 years have been extracted from Equalis database. The results are compared to current analytical performance specifications (APS) and to the mean HbA1c levels for the Swedish population of persons with type 2 diabetes.
RESULTS: The accuracy of the HbA1c test has improved during the period. The hospital lab methods used in Sweden now fulfil APS agreed by professional organizations in Sweden. The accuracy for point-of-care tests (POCT) methods vary over time and fulfil APS for some periods. The bias found for some of the methods might explain changes seen in patient mean values for HbA1c in Sweden during the period 2007-2017.
CONCLUSIONS: The global standardization of HbA1c has resulted in an improved comparability for HbA1c-results worldwide. But even small variation in trueness for the methods in use might have important impact on mean HbA1c values for cohorts of patients. When a systematic error is observed for a specific method it is therefore essential that manufacturers correct the method without delay.

Entities:  

Keywords:  analytical quality; diabetes; glycohemoglobin; proficiency testing; traceability

Mesh:

Substances:

Year:  2018        PMID: 29916732      PMCID: PMC6134316          DOI: 10.1177/1932296818785622

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  15 in total

1.  Recommendation for term and measurement unit for "HbA1c".

Authors:  Gunnar Nordin; René Dybkaer
Journal:  Clin Chem Lab Med       Date:  2007       Impact factor: 3.694

2.  Coefficient of variation for hemoglobin A1c results that are traceable to national glycohemoglobin standardization program must be distinguished from coefficient of variation for results traceable to International Federation of Clinical Chemistry and Laboratory Medicine.

Authors:  Gunnar Nordin
Journal:  Diabetes Technol Ther       Date:  2011-08-09       Impact factor: 6.118

3.  [Standards for long-term measures of blood sugar are established].

Authors:  H Arnqvist; M Wallensteen; J O Jeppson
Journal:  Lakartidningen       Date:  1997-12-10

4.  Assessing quality on the Sigma scale from proficiency testing and external quality assessment surveys.

Authors:  James O Westgard; Sten A Westgard
Journal:  Clin Chem Lab Med       Date:  2015-09-01       Impact factor: 3.694

5.  Letter to the Editor regarding "Achieving comparability with IFCC reference method for the measurement of hemoglobin A1c by use of an improved isotope-dilution mass spectrometry method".

Authors:  Noémie Clouet-Foraison; Philippe Gillery; Vincent Delatour
Journal:  Anal Bioanal Chem       Date:  2017-08-03       Impact factor: 4.142

6.  EurA1c: The European HbA1c Trial to Investigate the Performance of HbA1c Assays in 2166 Laboratories across 17 Countries and 24 Manufacturers by Use of the IFCC Model for Quality Targets.

Authors: 
Journal:  Clin Chem       Date:  2018-06-19       Impact factor: 8.327

7.  Comparison of IFCC-calibrated HbA(1c) from laboratory and point of care testing systems.

Authors:  Susan E Manley; Laura J Hikin; Rachel A Round; Peter W Manning; Stephen D Luzio; Gareth J Dunseath; Peter G Nightingale; Irene M Stratton; Robert Cramb; Kenneth A Sikaris; Stephen C L Gough; Jonathan Webber
Journal:  Diabetes Res Clin Pract       Date:  2014-05-23       Impact factor: 5.602

8.  HbA1c: EQA in Germany, Belgium and the Netherlands using fresh whole blood samples with target values assigned with the IFCC reference system.

Authors:  Patricia Kaiser; Michael Spannagl; Christel van Campenhout; Yolande Lenga; Carla Siebelder; Cas Weykamp
Journal:  Clin Chem Lab Med       Date:  2016-11-01       Impact factor: 3.694

9.  Consensus statement on the worldwide standardization of the hemoglobin A1C measurement: the American Diabetes Association, European Association for the Study of Diabetes, International Federation of Clinical Chemistry and Laboratory Medicine, and the International Diabetes Federation.

Authors: 
Journal:  Diabetes Care       Date:  2007-09       Impact factor: 19.112

10.  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

View more
  5 in total

1.  Glycaemic control trends in people with type 1 diabetes in Scotland 2004-2016.

Authors:  Colette Mair; Wahyu Wulaningsih; Anita Jeyam; Stuart McGurnaghan; Luke Blackbourn; Brian Kennon; Graham Leese; Robert Lindsay; Rory J McCrimmon; John McKnight; John R Petrie; Naveed Sattar; Sarah H Wild; Nicholas Conway; Ian Craigie; Kenneth Robertson; Louise Bath; Paul M McKeigue; Helen M Colhoun
Journal:  Diabetologia       Date:  2019-05-18       Impact factor: 10.122

2.  Improved metabolic control using glucose monitoring systems leads to improvement in vibration perception thresholds in type 1 diabetes patients.

Authors:  Lars B Dahlin; Targ Elgzyri; Magnus Löndahl; Linnéa Ekman; Eero Lindholm
Journal:  Acta Diabetol       Date:  2019-11-08       Impact factor: 4.280

3.  Poor glycaemic control is associated with increased risk of neurodevelopmental disorders in childhood-onset type 1 diabetes: a population-based cohort study.

Authors:  Shengxin Liu; Ralf Kuja-Halkola; Henrik Larsson; Paul Lichtenstein; Jonas F Ludvigsson; Ann-Marie Svensson; Soffia Gudbjörnsdottir; Magnus Tideman; Eva Serlachius; Agnieszka Butwicka
Journal:  Diabetologia       Date:  2021-01-16       Impact factor: 10.122

4.  A Patient-Level Model to Estimate Lifetime Health Outcomes of Patients With Type 1 Diabetes.

Authors:  An Tran-Duy; Josh Knight; Andrew J Palmer; Dennis Petrie; Tom W C Lung; William H Herman; Björn Eliasson; Ann-Marie Svensson; Philip M Clarke
Journal:  Diabetes Care       Date:  2020-06-12       Impact factor: 19.112

5.  Neurodevelopmental Disorders, Glycemic Control, and Diabetic Complications in Type 1 Diabetes: a Nationwide Cohort Study.

Authors:  Shengxin Liu; Ralf Kuja-Halkola; Henrik Larsson; Paul Lichtenstein; Jonas F Ludvigsson; Ann-Marie Svensson; Soffia Gudbjörnsdottir; Magnus Tideman; Eva Serlachius; Agnieszka Butwicka
Journal:  J Clin Endocrinol Metab       Date:  2021-10-21       Impact factor: 5.958

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.