Literature DB >> 35291494

Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples.

Kamil Taha Uçar1, Abdulkadir Çat2, Alper Gümüş3, Nilhan Nurlu2.   

Abstract

Background: The European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE) have recommended an algorithm based on the reference change value (RCV) to evaluate hemolysis. We utilized this algorithm to analyze hemolysis-sensitive parameters.
Methods: Two tubes of blood were collected from each of the 10 participants, one of which was subjected to mechanical trauma while the other was centrifuged directly. Subsequently, the samples were diluted with the participant's hemolyzed sample to obtain the desired hemoglobin concentrations (0, 1, 2, 4, 6, 8, and 10 g/L). ALT, AST, K, LDH, T. Bil tests were performed using Beckman Coulter AU680 analyzer. The analytical and clinical cut-offs were based on the biological variation for the allowable imprecision and RCV. The algorithms could report the values directly below the analytical cut-off or those between the analytical and clinical cut-offs with comments. If the change was above the clinical cut-off, the test was rejected. The linear regression was used for interferograms, and the hemoglobin concentrations corresponding to cut-offs were calculated via the interferograms.
Results: The RCV was calculated as 29.6% for ALT. Therefore, ALT should be rejected in samples containing >5.9 g/L hemoglobin. The RCVs for AST, K, LDH, and T. Bil were calculated as 27.9%, 12.1%, 19.2%, and 61.2%, while the samples' hemoglobin concentrations for test rejection were 0.8, 1.6, 0.5, and 2.2 g/L, respectively. Conclusions: Algorithms prepared with RCV could provide evidence-based results and objectively manage hemolyzed samples. 2022 Kamil Taha Uçar, Abdulkadir Çat, Alper Gümüş, Nilhan Nurlu, published by CEON/CEES.

Entities:  

Keywords:  hemolysis; interference; laboratory errors; preanalytical phase; reference change value

Year:  2022        PMID: 35291494      PMCID: PMC8882018          DOI: 10.5937/jomb0-31250

Source DB:  PubMed          Journal:  J Med Biochem        ISSN: 1452-8266            Impact factor:   3.402


  25 in total

1.  Test result variation and the quality of evidence-based clinical guidelines.

Authors:  Callum G Fraser
Journal:  Clin Chim Acta       Date:  2004-08-02       Impact factor: 3.786

2.  Comparison of visual vs. automated detection of lipemic, icteric and hemolyzed specimens: can we rely on a human eye?

Authors:  Ana-Maria Simundic; Nora Nikolac; Valentina Ivankovic; Dragica Ferenec-Ruzic; Bojana Magdic; Marina Kvaternik; Elizabeta Topic
Journal:  Clin Chem Lab Med       Date:  2009       Impact factor: 3.694

3.  Verification of the hemolysis index measurement: imprecision, accuracy, measuring range, reference interval and impact of implementing analytically and clinically derived sample rejection criteria.

Authors:  Charlotte Gils; Maria Boysen Sandberg; Mads Nybo
Journal:  Scand J Clin Lab Invest       Date:  2020-09-21       Impact factor: 1.713

4.  Practical recommendations for managing hemolyzed samples in clinical chemistry testing.

Authors:  Giuseppe Lippi; Janne Cadamuro; Alexander von Meyer; Ana-Maria Simundic
Journal:  Clin Chem Lab Med       Date:  2018-04-25       Impact factor: 3.694

5.  Call for more transparency in manufacturers declarations on serum indices: On behalf of the Working Group for Preanalytical Phase (WG-PRE), European Federation of Clinical Chemistry and Laboratory Medicine (EFLM).

Authors:  Alexander von Meyer; Janne Cadamuro; Giuseppe Lippi; Ana-Maria Simundic
Journal:  Clin Chim Acta       Date:  2018-04-02       Impact factor: 3.786

Review 6.  Managing hemolyzed samples in clinical laboratories.

Authors:  Ana-Maria Simundic; Geoffrey Baird; Janne Cadamuro; Seán J Costelloe; Giuseppe Lippi
Journal:  Crit Rev Clin Lab Sci       Date:  2019-10-11       Impact factor: 6.250

7.  Reference range of hemolysis index in serum and lithium-heparin plasma measured with two analytical platforms in a population of unselected outpatients.

Authors:  Giuseppe Lippi; Davide Giavarina; Matteo Gelati; Gian Luca Salvagno
Journal:  Clin Chim Acta       Date:  2013-12-18       Impact factor: 3.786

Review 8.  Errors within the total laboratory testing process, from test selection to medical decision-making - A review of causes, consequences, surveillance and solutions.

Authors:  Cornelia Mrazek; Giuseppe Lippi; Martin H Keppel; Thomas K Felder; Hannes Oberkofler; Elisabeth Haschke-Becher; Janne Cadamuro
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

9.  Workflow optimization in a clinical laboratory using Lean management principles in the pre-analytical phase.

Authors:  Pablo Letelier; Neftalí Guzmán; Gustavo Medina; Luis Calcumil; Pamela Huencho; Jonathan Mora; Francisco Quiñones; Jorge Jara; Cristóbal Reyno; Jorge G Farías; Belén Lisandra Herrera; Priscilla Brebi; Ismael Riquelme; Martín Andrés San
Journal:  J Med Biochem       Date:  2021-01-26       Impact factor: 3.402

Review 10.  Integrated diagnostics: the future of laboratory medicine?

Authors:  Giuseppe Lippi; Mario Plebani
Journal:  Biochem Med (Zagreb)       Date:  2019-12-15       Impact factor: 2.313

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.