Literature DB >> 23035661

Reducing analytical variation between point-of-care and laboratory HbA1c testing.

Samir Malkani1, Nichole Korpi-Steiner, Lokinendi V Rao.   

Abstract

BACKGROUND: Point-of-care (POC) HbA1c testing allows for timely treatment changes, improved glycemic control, and patient and provider satisfaction. Substantial variation between POC and laboratory HbA1c results has been reported. At our university hospital diabetes clinic, we observed significant negative bias in HbA1c with the DCA Vantage (Siemens Healthcare Diagnostics, Tarrytown, NY, USA) compared with the Tosoh G8 HPLC laboratory analyzer (Tosoh Bioscience, San Francisco, CA, USA). This led us to systematically analyze the bias with the goal of recalibrating the DCA to minimize bias.
METHODS: We analyzed 45 patient samples, with HbA1c ranging between 5% and 10.8%, concurrently on two DCA analyzers and on the Tosoh G8 machine. The bias for each sample was the difference between the value on the DCA and the Tosoh G8 analyzer. Based on regression equations derived from the data, a correction factor for each DCA analyzer was calculated. The analyzers were recalibrated and retested for bias.
RESULTS: At baseline, the mean bias (range) was -0.5229 (+0.1 to -1.3) for Analyzer 1 and -0.5348 (0.0 to -1.6) for Analyzer 2. After recalibration, the mean bias (range) was 0.000 (+0.6 to -0.6) and 0.0003 (+0.5 to -0.5) for Analyzers 1 and 2, respectively, and the systematic negative bias seen prior to the calibration was almost eliminated.
CONCLUSIONS: We recommend periodic recalibration of POC analyzers to eliminate systematic unidirectional bias and to harmonize results between the POC and central laboratory analyzers within a healthcare system. Calibration may need to be repeated with any change in the reagent lot.
© 2012 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine.

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Year:  2013        PMID: 23035661     DOI: 10.1111/1753-0407.12009

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  3 in total

1.  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

2.  Variation in Point-of-Care Testing of HbA1c in Diabetes Care in General Practice.

Authors:  Troels Kristensen; Frans Boch Waldorff; Jørgen Nexøe; Christian Volmar Skovsgaard; Kim Rose Olsen
Journal:  Int J Environ Res Public Health       Date:  2017-11-09       Impact factor: 3.390

3.  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

  3 in total

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