Literature DB >> 23958846

Diagnosing diabetes mellitus: performance of hemoglobin A1c point-of-care instruments in general practice offices.

Una Ørvim Sølvik1, Thomas Røraas, Nina Gade Christensen, Sverre Sandberg.   

Abstract

BACKGROUND: Hemoglobin A1c (Hb A1c) measurement by hospital laboratory instruments, but not by point-of-care (POC) instruments, has been recommended for use to diagnose diabetes mellitus. We evaluated results from 13 Hb A1c external quality assurance (EQA) surveys over a 6-year period in Norway, from both POC instruments used in general practice (GP) offices and instruments in hospital laboratories, against the analytical quality specifications recommended for use of Hb A1c to diagnose diabetes mellitus.
METHODS: All GP offices (n = 1288) and hospital laboratories (n = 52) measuring Hb A1c in Norway participated in the EQA survey. The percentage of participants that performed measurements within the quality specifications was calculated. Pooled within-laboratory CVs were estimated for the Afinion, DCA 2000, DCA 2000+, DCA Vantage(TM), and Nycocard Hb A1c Reader instruments and for hospital laboratory instruments.
RESULTS: Between 60% to 90% of Afinion and DCA users and hospital laboratories performed Hb A1c measurements within the quality specifications for both trueness (6.0%) and imprecision (CV ≤2.0%) at 2 levels in each EQA survey. The pooled within-laboratory CVs for the Afinion and DCA instruments and hospital laboratories were below the recommended limit of 2.0% for most of the surveys.
CONCLUSIONS: A large proportion of GP offices using Afinion and DCA POC instruments to measure Hb A1c fulfill the analytical quality specifications for diagnosing diabetes mellitus, and these instruments demonstrate analytical quality comparable to that of hospital laboratory instruments. When GP offices participate in a stringent quality assurance program and generate Hb A1c measurements that meet analytical quality specifications, these measurements can be recommended for use to diagnose diabetes mellitus.

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Year:  2013        PMID: 23958846     DOI: 10.1373/clinchem.2013.210781

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  13 in total

1.  Accuracy of a Point-of-Care Hemoglobin A1c Assay.

Authors:  David M Nathan; Amanda Griffin; Francesca M Perez; Erica Basque; Lily Do; Barbara Steiner
Journal:  J Diabetes Sci Technol       Date:  2019-04-03

2.  Analysis: Investigating the quality of POCT devices for HbA1c, what are our next steps?

Authors:  Erna Lenters-Westra; Emma English
Journal:  J Diabetes Sci Technol       Date:  2019-05-21

3.  Evaluation of Four HbA1c Point-of-Care Devices Using International Quality Targets: Are They Fit for the Purpose?

Authors:  Erna Lenters-Westra; Emma English
Journal:  J Diabetes Sci Technol       Date:  2018-06-19

Review 4.  Impact of HbA1c Testing at Point of Care on Diabetes Management.

Authors:  Oliver Schnell; J Benjamin Crocker; Jianping Weng
Journal:  J Diabetes Sci Technol       Date:  2016-11-27

5.  Quality Control of Norwegian Pharmacy HbA1c Testing: A Modest Beginning.

Authors:  Una Ørvim Sølvik; Aslaug Johanne Risøy; Reidun L S Kjome; Sverre Sandberg
Journal:  J Diabetes Sci Technol       Date:  2018-04-05

6.  Evaluation of a new hemoglobin A1c analyzer for point-of-care testing.

Authors:  Rui Zhou; Wei Wang; Zhi-Xin Song; Qing Tong; Qing-Tao Wang
Journal:  J Clin Lab Anal       Date:  2017-02-21       Impact factor: 2.352

7.  Long-Term Performance of Point-of-Care Hemoglobin A1c Assays.

Authors:  Sujaytha Paknikar; Rohan Sarmah; Losika Sivaganeshan; Adam Welke; Al Rizzo; Kirk Larson; Marc Rendell
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

8.  Investigation and Analysis of Hemoglobin A1c Measurement Systems' Performance for 135 Laboratories in China.

Authors:  Hai-Jian Zhao; Tian-Jiao Zhang; Jie Zeng; Cui-Hua Hu; Rong Ma; Chuan-Bao Zhang
Journal:  Chin Med J (Engl)       Date:  2017-05-05       Impact factor: 2.628

9.  Assessment of Two Diabetes Point-of-care Analyzers Measuring Hemoglobin A1c in the Peruvian Amazon.

Authors:  Anthony T Saxton; J Jaime Miranda; Ernesto J Ortiz; William Pan
Journal:  Ann Glob Health       Date:  2018-11-05       Impact factor: 2.462

10.  Risk assessment and HbA1c measurement in Norwegian community pharmacies to identify people with undiagnosed type 2 diabetes - A feasibility study.

Authors:  Aslaug Johanne Risøy; Reidun Lisbet Skeide Kjome; Sverre Sandberg; Una Ørvim Sølvik
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

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