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A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry

INTRODUCTION: Total 25-hydroxyvitamin D [25(OH)D] is the most reliable indicator of vitamin D status. In this study, we compared two automated immunoassay methods, the Abbott Architect 25-OH Vitamin D assay and the Roche Cobas Vitamin D total assay, with the liquid chromatography-tandem mass spectro...

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Autores principales: Kocak, Fatma Emel, Ozturk, Bahadir, Isiklar, Ozben Ozden, Genc, Ozlem, Unlu, Ali, Altuntas, Irfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Society of Medical Biochemistry and Laboratory Medicine 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622190/
https://www.ncbi.nlm.nih.gov/pubmed/26526462
http://dx.doi.org/10.11613/BM.2015.044
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author Kocak, Fatma Emel
Ozturk, Bahadir
Isiklar, Ozben Ozden
Genc, Ozlem
Unlu, Ali
Altuntas, Irfan
author_facet Kocak, Fatma Emel
Ozturk, Bahadir
Isiklar, Ozben Ozden
Genc, Ozlem
Unlu, Ali
Altuntas, Irfan
author_sort Kocak, Fatma Emel
collection PubMed
description INTRODUCTION: Total 25-hydroxyvitamin D [25(OH)D] is the most reliable indicator of vitamin D status. In this study, we compared two automated immunoassay methods, the Abbott Architect 25-OH Vitamin D assay and the Roche Cobas Vitamin D total assay, with the liquid chromatography-tandem mass spectrometry (LC-MS/MS). MATERIALS AND METHODS: One hundred venous blood samples were randomly selected from routine vitamin D tests. Two of the serum aliquots were analyzed at the Abbott Architect i2000 and the Roche Cobas 6000’s module e601 in our laboratory within the same day. The other serum aliquots were analyzed at the LC-MS/MS in different laboratory. Passing-Bablok regression analysis and Bland-Altman plot were used to compare methods. Inter-rater agreement was analyzed using kappa (κ) analysis. RESULTS: The Roche assay showed acceptable agreement with the LC-MS/MS based on Passing-Bablok analysis (intercept: -5.23 nmol/L, 95% CI: -8.73 to 0.19; slope: 0.97, 95% CI: 0.77 to 1.15). The Abbott assay showed proportional (slope: 0.77, 95% CI: 0.67 to 0.85) and constant differences (intercept: 17.08 nmol/L; 95% CI: 12.98 to 21.39). A mean bias of 15.1% was observed for the Abbott and a mean bias of -14.1% was observed for the Roche based on the Bland-Altman plots. We found strong to nearly perfect agreement in vitamin D status between the immunoassays and LC-MS/MS. (κ: 0.83 for Abbott, κ: 0.93 for Roche) using kappa analysis. CONCLUSION: Both immunoassays demonstrated acceptable performance, but the Roche Cobas assay demonstrated better performance than the Abbott Architect in the studied samples.
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spelling pubmed-46221902015-10-30 A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry Kocak, Fatma Emel Ozturk, Bahadir Isiklar, Ozben Ozden Genc, Ozlem Unlu, Ali Altuntas, Irfan Biochem Med (Zagreb) Research Article INTRODUCTION: Total 25-hydroxyvitamin D [25(OH)D] is the most reliable indicator of vitamin D status. In this study, we compared two automated immunoassay methods, the Abbott Architect 25-OH Vitamin D assay and the Roche Cobas Vitamin D total assay, with the liquid chromatography-tandem mass spectrometry (LC-MS/MS). MATERIALS AND METHODS: One hundred venous blood samples were randomly selected from routine vitamin D tests. Two of the serum aliquots were analyzed at the Abbott Architect i2000 and the Roche Cobas 6000’s module e601 in our laboratory within the same day. The other serum aliquots were analyzed at the LC-MS/MS in different laboratory. Passing-Bablok regression analysis and Bland-Altman plot were used to compare methods. Inter-rater agreement was analyzed using kappa (κ) analysis. RESULTS: The Roche assay showed acceptable agreement with the LC-MS/MS based on Passing-Bablok analysis (intercept: -5.23 nmol/L, 95% CI: -8.73 to 0.19; slope: 0.97, 95% CI: 0.77 to 1.15). The Abbott assay showed proportional (slope: 0.77, 95% CI: 0.67 to 0.85) and constant differences (intercept: 17.08 nmol/L; 95% CI: 12.98 to 21.39). A mean bias of 15.1% was observed for the Abbott and a mean bias of -14.1% was observed for the Roche based on the Bland-Altman plots. We found strong to nearly perfect agreement in vitamin D status between the immunoassays and LC-MS/MS. (κ: 0.83 for Abbott, κ: 0.93 for Roche) using kappa analysis. CONCLUSION: Both immunoassays demonstrated acceptable performance, but the Roche Cobas assay demonstrated better performance than the Abbott Architect in the studied samples. Croatian Society of Medical Biochemistry and Laboratory Medicine 2015-10-15 /pmc/articles/PMC4622190/ /pubmed/26526462 http://dx.doi.org/10.11613/BM.2015.044 Text en
spellingShingle Research Article
Kocak, Fatma Emel
Ozturk, Bahadir
Isiklar, Ozben Ozden
Genc, Ozlem
Unlu, Ali
Altuntas, Irfan
A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title_full A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title_fullStr A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title_full_unstemmed A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title_short A comparison between two different automated total 25-hydroxyvitamin D immunoassay methods using liquid chromatography-tandem mass spectrometry
title_sort comparison between two different automated total 25-hydroxyvitamin d immunoassay methods using liquid chromatography-tandem mass spectrometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622190/
https://www.ncbi.nlm.nih.gov/pubmed/26526462
http://dx.doi.org/10.11613/BM.2015.044
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