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Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples
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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Medical Biochemists of Serbia, Belgrade
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8882018/ https://www.ncbi.nlm.nih.gov/pubmed/35291494 http://dx.doi.org/10.5937/jomb0-31250 |
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author | Uçar, Kamil Taha Çat, Abdulkadir Gümüş, Alper Nurlu, Nilhan |
author_facet | Uçar, Kamil Taha Çat, Abdulkadir Gümüş, Alper Nurlu, Nilhan |
author_sort | Uçar, Kamil Taha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8882018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society of Medical Biochemists of Serbia, Belgrade |
record_format | MEDLINE/PubMed |
spelling | pubmed-88820182022-03-14 Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples Uçar, Kamil Taha Çat, Abdulkadir Gümüş, Alper Nurlu, Nilhan J Med Biochem Original Paper 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. Society of Medical Biochemists of Serbia, Belgrade 2022-02-02 2022-02-02 /pmc/articles/PMC8882018/ /pubmed/35291494 http://dx.doi.org/10.5937/jomb0-31250 Text en 2022 Kamil Taha Uçar, Abdulkadir Çat, Alper Gümüş, Nilhan Nurlu, published by CEON/CEES https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License. |
spellingShingle | Original Paper Uçar, Kamil Taha Çat, Abdulkadir Gümüş, Alper Nurlu, Nilhan Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title | Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title_full | Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title_fullStr | Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title_full_unstemmed | Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title_short | Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples |
title_sort | interferograms plotted with reference change value (rcv) may facilitate the management of hemolyzed samples |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8882018/ https://www.ncbi.nlm.nih.gov/pubmed/35291494 http://dx.doi.org/10.5937/jomb0-31250 |
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