Literature DB >> 24513329

Harmonization of automated hemolysis index assessment and use: Is it possible?

Alberto Dolci1, Mauro Panteghini2.   

Abstract

The major source of errors producing unreliable laboratory test results is the pre-analytical phase with hemolysis accounting for approximately half of them and being the leading cause of unsuitable blood specimens. Hemolysis may produce interference in many laboratory tests by a variety of biological and analytical mechanisms. Consequently, laboratories need to systematically detect and reliably quantify hemolysis in every collected sample by means of objective and consistent technical tools that assess sample integrity. This is currently done by automated estimation of hemolysis index (HI), available on almost all clinical chemistry platforms, making the hemolysis detection reliable and reportable patient test results more accurate. Despite these advantages, a degree of variability still affects the HI estimate and more efforts should be placed on harmonization of this index. The harmonization of HI results from different analytical systems should be the immediate goal, but the scope of harmonization should go beyond analytical steps to include other aspects, such as HI decision thresholds, criteria for result interpretation and application in clinical practice as well as report formats. With regard to this, relevant issues to overcome remain the objective definition of a maximum allowable bias for hemolysis interference based on the clinical application of the measurements and the management of unsuitable samples. Particularly, for the latter a recommended harmonized approach is required when not reporting numerical results of unsuitable samples with significantly increased HI and replacing the test result with a specific comment highlighting hemolysis of the sample.
© 2013.

Entities:  

Keywords:  Hemolysis; Maximum allowable bias; Pre-analytical phase; Serum indices

Mesh:

Year:  2013        PMID: 24513329     DOI: 10.1016/j.cca.2013.10.012

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  14 in total

1.  Variation in Laboratory Reporting of Haemolysis - a Need for Harmonisation.

Authors:  Penny Petinos; Stephanie Gay; Tony Badrick
Journal:  Clin Biochem Rev       Date:  2015-11

2.  Spectral Analysis Methods Based on Background Subtraction and Curvature Calculation Used in the Detection or Quantification of Hemolysis and Icterus in Blood-derived Clinical Samples.

Authors:  Toan Huynh; Michael J Lai; Yang L Liu; Linda Ly; Xinwei Gong; Kathryn R Rommel; Daniel L Young
Journal:  Cureus       Date:  2017-12-19

Review 3.  Current Methods of Haemolysis Detection and Reporting as a Source of Risk to Patient Safety: a Narrative Review.

Authors:  Euan J McCaughey; Elia Vecellio; Rebecca Lake; Ling Li; Leslie Burnett; Douglas Chesher; Stephen Braye; Mark Mackay; Stephanie Gay; Tony C Badrick; Johanna I Westbrook; Andrew Georgiou
Journal:  Clin Biochem Rev       Date:  2016-12

Review 4.  Haemolysis index for the screening of intravascular haemolysis: a novel diagnostic opportunity?

Authors:  Giuseppe Lippi; Emmanuel J Favaloro; Massimo Franchini
Journal:  Blood Transfus       Date:  2018-05-08       Impact factor: 3.443

5.  Effects of Storage Temperature and Time on Stability of Serum Tacrolimus and Cyclosporine A Levels in Whole Blood by LC-MS/MS.

Authors:  İbrahim Kaplan; Hatice Yüksel; Osman Evliyaoğlu; M Kemal Basarali; Gülten Toprak; Leyla Çolpan; Velat Şen
Journal:  Int J Anal Chem       Date:  2015-04-09       Impact factor: 1.885

6.  Influence of centrifugation conditions on the results of 77 routine clinical chemistry analytes using standard vacuum blood collection tubes and the new BD-Barricor tubes.

Authors:  Janne Cadamuro; Cornelia Mrazek; Alexander B Leichtle; Ulrike Kipman; Thomas K Felder; Helmut Wiedemann; Hannes Oberkofler; Georg M Fiedler; Elisabeth Haschke-Becher
Journal:  Biochem Med (Zagreb)       Date:  2017-11-24       Impact factor: 2.313

Review 7.  Laboratory Information System - Where are we Today?

Authors:  Vera Lukić
Journal:  J Med Biochem       Date:  2017-07-14       Impact factor: 3.402

8.  Internal quality assurance of HIL indices on Roche Cobas c702.

Authors:  Giuseppe Lippi; Janne Cadamuro; Elisa Danese; Matteo Gelati; Martina Montagnana; Alexander von Meyer; Gian Luca Salvagno; Ana-Maria Simundic
Journal:  PLoS One       Date:  2018-07-06       Impact factor: 3.240

9.  ACVIM consensus statement on the diagnosis of immune-mediated hemolytic anemia in dogs and cats.

Authors:  Oliver A Garden; Linda Kidd; Angela M Mexas; Yu-Mei Chang; Unity Jeffery; Shauna L Blois; Jonathan E Fogle; Amy L MacNeill; George Lubas; Adam Birkenheuer; Simona Buoncompagni; Julien R S Dandrieux; Antonio Di Loria; Claire L Fellman; Barbara Glanemann; Robert Goggs; Jennifer L Granick; Dana N LeVine; Claire R Sharp; Saralyn Smith-Carr; James W Swann; Balazs Szladovits
Journal:  J Vet Intern Med       Date:  2019-02-26       Impact factor: 3.333

10.  Hemolytic specimens in complete blood cell count: Red cell parameters could be revised by plasma free hemoglobin.

Authors:  Zhaoyang Peng; Wenqing Xiang; Jianming Zhou; Jiajia Cao; Zhe Li; Hui Gao; Junfeng Zhang; Hongqiang Shen
Journal:  J Clin Lab Anal       Date:  2020-01-22       Impact factor: 2.352

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