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An assessment of clinical laboratory performance for the determination of manganese in blood and urine

  • Meredith L. Praamsma , Josiane Arnaud EMAIL logo , David Bisson , Stuart Kerr , Chris F. Harrington , Patrick J. Parsons and the Network of Organisers of External Quality Assurance Schemes in Occupational and Environmental Laboratory Medicine
Published/Copyright: May 12, 2016

Abstract

Background:

Proficiency testing or external quality assessment schemes (PT/EQASs) are an important method of assessing laboratory performance. As each scheme establishes assigned values and acceptable ranges for the analyte according to its own criteria, monitoring of participant performance varies according to the scheme and can lead to conflicting conclusions.

Methods:

Standard deviations (SDs) for PT were derived from Thompson’s and biological variation models applied to blood and urine manganese (Mn) robust data from four EQASs from North America and Europe. The fitness for purpose was verified by applying these SDs to individual results.

Results:

Using Thompson characteristic function the relationship between SD and Mn concentration, expressed in nmol/L was the square root of [19.72+(0.07712×Mn concentration2)] for blood and the square root of [6.772+(0.09852×Mn concentration2)] for urine. While the biological variation model was not suitable for urine, it produced an acceptable range for blood as ±54.4 nmol/L (assigned value ≤320 nmol/L) or 17% (assigned value >320 nmol/L). For blood, individual performance evaluated by the two approaches led to similar conclusions.

Conclusions:

The biological variation model can be used to propose quality specifications for blood, however it could not be applied to urine. The Thompson characteristic function model could be applied to derive quality specifications for Mn in urine and, to a lesser extent in blood. The more lenient quality specifications for blood highlight the difficulty of determining Mn in this matrix. Further work is needed to harmonize PT, such as using assigned ranges for the specimens.

Acknowledgments:

We greatly thank Dr. Marissa G. Baker (University of Washington, WA, USA) for sharing the data presented in her paper on individual variability. We thank the members of the Network of Organisers of EQAS in Occupational and Environmental Laboratory Medicine who gave us the opportunity for fruitful discussions about trace element PT/EQAS. We particularly thank Dr. Cas W. Weykamp (Queen Beatrix hospital, Winterswijk, The Netherlands) for the preparation of OELM samples.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Supplemental Material:

The online version of this article (DOI: 10.1515/cclm-2015-1267) offers supplementary material, available to authorized users.


Received: 2015-12-28
Accepted: 2016-3-28
Published Online: 2016-5-12
Published in Print: 2016-12-1

©2016 Walter de Gruyter GmbH, Berlin/Boston

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