Literature DB >> 23773967

External quality assessment of HbA1c and its effect on comparison between Swedish pediatric diabetes clinics. Experiences from the Swedish pediatric diabetes quality register (Swediabkids) and Equalis.

Bengt Lindblad, Gunnar Nordin.   

Abstract

BACKGROUND: To explore to what extent measurement error can explain the variation of mean patient HbA(1c) between clinics.
METHODS: For each year 2005-2010 data from 5380-6985 children, age <18 years, in 35-43 Swedish pediatric clinics was analyzed. Each year 13,000-19,000 HbA(1c) analyses were evaluated. Year mean HbA(1c) for each patient was calculated for HbA(1c) values when insulin dose was ≥0.5 U/kg. In Sweden HbA(1c) values were during the study period standardized to the Mono S level, HbA(1c)(Mono S)%, but are given also in the international unit HbA(1c)(IFCC), mmol/mol. Performance of locally measured HbA(1c) is monitored by Equalis through monthly external quality assessment (EQA) schemes.
RESULTS: The yearly mean bias term for each clinic varied from -0.54 to 0.41 HbA(1c)(Mono S)%. The bias between clinic HbA(1c) and target value improved during the 6 years and the mean bias was for 79%-88% of clinics within the recommended level ±0.14 HbA(1c)% the last 2 years. Inter-clinic mean HbA(1c) had a wide interquartile range, 0.30-0.43 HbA(1c)(Mono S)% [3.2-4.5 HbA(1c)(IFCC)mmol/mol].
CONCLUSIONS: Regular participation in EQA schemes is necessary when comparing HbA(1c) values. The measurement error decreased during the 6-year period and explained from 28% to <10% of the inter-clinic variation in year mean clinic HbA(1c).

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Year:  2013        PMID: 23773967     DOI: 10.1515/cclm-2013-0226

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  4 in total

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

Authors:  Gunnar Nordin
Journal:  J Diabetes Sci Technol       Date:  2018-06-19

Review 2.  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

3.  Residual beta cell function at diagnosis of type 1 diabetes in children and adolescents varies with gender and season.

Authors:  U Samuelsson; B Lindblad; A Carlsson; G Forsander; S Ivarsson; I Kockum; Å Lernmark; C Marcus; J Ludvigsson
Journal:  Diabetes Metab Res Rev       Date:  2013-01       Impact factor: 4.876

4.  Low renal replacement therapy incidence among slowly progressing elderly chronic kidney disease patients referred to nephrology care: an observational study.

Authors:  Ulrika Hahn Lundström; Alessandro Gasparini; Rino Bellocco; Abdul Rashid Qureshi; Juan-Jesus Carrero; Marie Evans
Journal:  BMC Nephrol       Date:  2017-02-10       Impact factor: 2.388

  4 in total

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