Journals / International Journal of Medical Biochemistry / 2020 / Cilt: 3 - Sayı: 3

Evaluation of sigma value and quality goal index for brain natriuretic peptide test

Pages
178–182
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: Unsatisfactory sigma levels for BNP tests were achieved using both methods of calculating sigma metrics.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: In this study, we aimed to evaluate the analytical process by determining the sigma values and quality goal index (QGI) of the brain natriuretic peptide (BNP) test parameter performed in our emergency laboratory.
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Key Findings & Data:The internal quality control results of the BNP test levels between September and December 2018 and external quality program reports were used in the coefficient of variation (CV) and bias calculations.
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Conclusion & Impact:Conclusion: Unsatisfactory sigma levels for BNP tests were achieved using both methods of calculating sigma metrics.
🔬Design:Research Article
📍Scope:2018 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: In this study, we aimed to evaluate the analytical process by determining the sigma values and quality goal index (QGI) of the brain natriuretic peptide (BNP) test parameter performed in our emergency laboratory. Methods: BNP levels were tested using a commercially available immunoassay autoanalyser (Advia Centaur XP; Siemens Healthcare Diagnostic Ltd., Muenchen, Germany). Bias was calculated by comparison with the group mean for each external quality assessment report, and an internal quality control-based approach was applied. The internal quality control results of the BNP test levels between September and December 2018 and external quality program reports were used in the coefficient of variation (CV) and bias calculations. The sigma metrics and QGI were calculated. Results: The sigma metric calculated from the external quality control was 2.1 and the QGI was 0.34. In the internal quality control study, the sigma level was 1.92, and the QGI was 0.55, as calculated at the 400 pg/ml level. The QGI level suggests that the problem in the BNP study was imprecision. Conclusion: Unsatisfactory sigma levels for BNP tests were achieved using both methods of calculating sigma metrics.

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Cite This Article

BUDAK, Y., HUYSAL, K., ERİŞ, C., DÜLGER, S., EREN, S. E., YAVUZ, Ş. (2020). Evaluation of sigma value and quality goal index for brain natriuretic peptide test. International Journal of Medical Biochemistry, Cilt: 3 - Sayı: 3, 178–182. https://ajindex.com/articles/201465

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References (13)

  1. Fu S, Ping P, Wang F, Luo L. Synthesis, secretion, function, metabolism and application of natriuretic peptides in heart failure. J Biol Eng 2018;12:2
  2. Zhang ZL, Li R, Yang FY, Xi L. Natriuretic peptide family as diagnostic/prognostic biomarker and treatment modality in management of adult and geriatric patients with heart failure: remaining issues and challenges. J Geriatr Cardiol 2018;15(8):540–6
  3. Korenstein D, Wisnivesky JP, Wyer P, Adler R, Ponieman D, McGinn T. The utility of B-type natriuretic peptide in the diagnosis of heart failure in the emergency department: a systematic review. BMC Emerg Med 2007;7:6
  4. Krupicka J, Jonata T, Hradec J. Natriuretic peptides in heart failure. Cor et Vasa 2013;55:370–6
  5. Clerico A, Franzini M, Masotti S, Prontera C, Passino C. State of the art of immunoassay methods for B-type natriuretic peptides: An update. Crit Rev Clin Lab Sci 2015;52(2):56–69
  6. Westgard S, Bayat H, Westgard JO. Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories. Biochem Med (Zagreb) 2018;28(2):020502
  7. Ustundag BY, Huysal K. Application of Sigma Metrics and Performance Comparison Between Two Biochemistry Analyser and a Blood Gas Analyser for the Determination of Electrolytes. J Clin Diagn Res 2017;11(2):BC06–BC09
  8. Huysal K, Budak YU. Application of sigma metrics for the assessment of quality assurance using the MQ-2000 PT HbA1c analyzer. Biochem Med (Zagreb) 2015;25(3):416–20
  9. Kumar BV, Mohan T. Sigma metrics as a tool for evaluating the performance of internal quality control in a clinical chemistry laboratory. J Lab Physicians 2018;10(2):194–9
  10. Westgard JO, Westgard SA. The quality of laboratory testing today: an assessment of sigma metrics for analytic quality using performance data from proficiency testing surveys and the CLIA criteria for acceptable performance. Am J Clin Pathol 2006;125(3):343–54
  11. Schoenmakers CH, Naus AJ, Vermeer HJ, van Loon D, Steen G. Practical application of Sigma Metrics QC procedures in clinical chemistry. Clin Chem Lab Med 2011;49(11):1837–43
  12. Jones GR, Sikaris K, Gill J. Allowable Limits of Performance for External Quality Assurance Programs - an Approach to Application of the Stockholm Criteria by the RCPA Quality Assurance Programs. Clin Biochem Rev 2012;33(4):133–9
  13. Guo X, Zhang T, Gao X, Li P, You T, Wu Q, et al. Sigma metrics for assessing the analytical quality of clinical chemistry assays: a comparison of two approaches: Elec