Literature DB >> 28164511

Application of Six Sigma Model to Evaluate the Analytical Quality of Four HbA1c Analyzers.

Jos Eacute M Maesa, Patricia Fern Aacute Ndez-Riejos, Catalina S Aacute Nchez-Mora, Mar Iacute A De Toro-Crespo, Concepci Oacute N Gonz Aacute Lez-Rodriguez.   

Abstract

BACKGROUND: The Six Sigma Model is a global quality management system applicable to the determination of glycated hemoglobin (HbA1c). In addition, this model can ensure the three characteristics influencing the patient risk: the correct performance of the analytical method with low inaccuracy and bias, the quality control strategy used by the laboratory, and the necessary quality of the analyte. The aim of this study is to use the Six Sigma Model for evaluating quality criteria in the determination of glycated hemoglobin HbA1c and its application to assess four different HbA1c analyzers.
METHODS: Four HbA1c analyzers were evaluated: HA-8180V®, D-100®, G8®, and Variant II Turbo®. For 20 consecutive days, two levels of quality control (high and low) provided by the manufacturers were measured in each of the instruments. Imprecision (CV), bias, and Sigma values (σ) were calculated with the data obtained and a method decision chart was developed considering a range of quality requirements (allowable total error, TEa).
RESULTS: For a TEa = 3%, HA-8180V = 1.54 σ, D-100 = 1.63 σ, G8 = 2.20 σ, and Variant II Turbo = -0.08 σ. For a TEa = 4%, HA-8180V = 2.34 σ, D-100 = 2.32 σ, G8 = 3.74 σ, and Variant II Turbo = 0.16 σ. For a TEa = 10%, HA8180V = 7.12 σ, D-100 = 6.46 σ, G8 = 13.0 σ, and Variant II Turbo = 1.56 σ.
CONCLUSIONS: Applying the Stockholm consensus and its subsequent Milan review to the results: the maximum level in quality requirements for HbA1c is an allowable total error (TEa) = 3%, G8 is located in region 2 σ (2.20), which is a poor result, and HA-8180V and D-100 are both in region 1 σ (1.54 and 1.63, respectively), which is an unacceptable analytical performance.

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Year:  2017        PMID: 28164511     DOI: 10.7754/Clin.Lab.2016.160608

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  4 in total

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Authors:  Shuang Cao; Xiaosong Qin
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

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Authors:  Victoria Petrides; Sharon Schneider
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

3.  Application of Six Sigma for evaluating the analytical quality of tumor marker assays.

Authors:  Qian Liu; Mei Fu; Fumeng Yang; Wei Liang; Chuanxi Yang; Wenjun Zhu; Liming Ma; Changxin Zhao
Journal:  J Clin Lab Anal       Date:  2018-10-02       Impact factor: 2.352

4.  Comparative analysis of calculating sigma metrics by a trueness verification proficiency testing-based approach and an internal quality control data inter-laboratory comparison-based approach.

Authors:  Runqing Li; Tengjiao Wang; Lijun Gong; Peng Peng; Song Yang; Haibin Zhao; Pan Xiong
Journal:  J Clin Lab Anal       Date:  2019-08-06       Impact factor: 2.352

  4 in total

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