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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Greaves, Ronda / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter

IMPACT FACTOR 2018: 3.638

CiteScore 2018: 2.44

SCImago Journal Rank (SJR) 2018: 1.191
Source Normalized Impact per Paper (SNIP) 2018: 1.205

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Volume 57, Issue 10


Outlier removal methods for skewed data: impact on age-specific high-sensitive cardiac troponin T 99th percentiles

Denis Monneret
  • Corresponding author
  • Department of Biochemistry and Molecular Biology, South Lyon Hospital Group, Hospices Civils de Lyon (HCL), 165 Chemin du Grand Revoyet, 69495 Pierre-Bénite, France
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Martin Gellerstedt / Frédéric Roche
  • Department of Clinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France
  • EA 4607 SNA-EPIS, PRES Lyon, Saint-Etienne, France
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Dominique Bonnefont-Rousselot
  • Department of Metabolic Biochemistry, La Pitié Salpêtrière-Charles Foix University Hospital (AP-HP), Paris, France
  • CNRS UMR8258 – INSERM U1022, Faculty of Pharmacy, Sorbonne Paris Cité, Paris Descartes University, Paris, France
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2019-03-12 | DOI: https://doi.org/10.1515/cclm-2018-1366


  • 1.

    Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA, et al. Fourth universal definition of myocardial infarction (2018). Eur Heart J 2018;40:237–69.Web of ScienceGoogle Scholar

  • 2.

    Clerico A, Zaninotto M, Ripoli A, Masotti S, Prontera C, Passino C, et al. The 99th percentile of reference population for cTnI and cTnT assay: methodology, pathophysiology and clinical implications. Clin Chem Lab Med 2017;55:1634–51.Web of SciencePubMedGoogle Scholar

  • 3.

    Franzini M, Lorenzoni V, Masotti S, Prontera C, Chiappino D, Latta DD, et al. The calculation of the cardiac troponin T 99th percentile of the reference population is affected by age, gender, and population selection: a multicenter study in Italy. Clin Chim Acta 2015;438:376–81.PubMedCrossrefWeb of ScienceGoogle Scholar

  • 4.

    Wildi K, Gimenez MR, Twerenbold R, Reichlin T, Jaeger C, Heinzelmann A, et al. Misdiagnosis of myocardial infarction related to limitations of the current regulatory approach to define clinical decision values for cardiac troponin. Circulation 2015;131:2032–40.CrossrefPubMedWeb of ScienceGoogle Scholar

  • 5.

    Hickman PE, Koerbin G, Potter JM, Abhayaratna WP. Statistical considerations for determining high-sensitivity cardiac troponin reference intervals. Clin Biochem 2017;50:502–5.Web of ScienceCrossrefPubMedGoogle Scholar

  • 6.

    Hubert M, Vandervieren E. An adjusted boxplot for skewed distributions. Comput Stat Data Anal 2008;52:5186–201.CrossrefWeb of ScienceGoogle Scholar

  • 7.

    Johansen MB, Christensen PA. A simple transformation independent method for outlier definition. Clin Chem Lab Med 2018;56:1524–32.CrossrefPubMedWeb of ScienceGoogle Scholar

  • 8.

    Monneret D, Gellerstedt M, Bonnefont-Rousselot D. Determination of age- and sex-specific 99th percentiles for high-sensitive troponin T from patients: an analytical imprecision- and partitioning-based approach. Clin Chem Lab Med 2018;56:685–96.Web of SciencePubMedCrossrefGoogle Scholar

  • 9.

    Clinical and Laboratory Standards Institute (CLSI). Defining, establishing, and verifying reference intervals in the clinical laboratory; approved guideline, 3rd ed. Wayne, PA: CLSI; 2008. Document C28-A3.Google Scholar

  • 10.

    Campbell MJ, Gardner MJ. Calculating confidence intervals for some non-parametric analyses. Br Med J (Clin Res Ed) 1988;296:1454–6.PubMedCrossrefGoogle Scholar

  • 11.

    Sheskin DJ. Handbook of parametric and nonparametric statistical procedures, 5th ed. Boca Raton, FL: Chapman & Hall, CRC, 2011.Google Scholar

  • 12.

    Osborne JW. Improving your data transformations: applying the Box-Cox transformation. Pract Assess Res Eval 2010;15:1–9.Google Scholar

About the article

Corresponding author: Denis Monneret, PharmD, PhD, Department of Biochemistry and Molecular Biology, South Lyon Hospital Group, Hospices Civils de Lyon (HCL), 165 Chemin du Grand Revoyet, 69495 Pierre-Bénite, France, Phone: (+33) 6 66 10 77 06

Received: 2018-12-26

Accepted: 2019-02-15

Published Online: 2019-03-12

Published in Print: 2019-09-25

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

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

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.

Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), Volume 57, Issue 10, Pages e244–e247, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/cclm-2018-1366.

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