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Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease

Von Willebrand factor (VWF) multimer analysis is important in the classification of von Willebrand disease (VWD). Current visual VWF multimer analysis is time consuming and inaccurate in detecting subtle changes in multimer patterns. Although VWF multimer densitometric analysis may be useful, the ac...

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Autores principales: Boender, Johan, Atiq, Ferdows, Cnossen, Marjon H., van der Bom, Johanna G., Fijnvandraat, Karin, de Meris, Joke, de Maat, Moniek P. M., van Galen, Karin P. M., Laros-van Gorkom, Britta A. P., Meijer, Karina, Eikenboom, Jeroen, Leebeek, Frank W. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892298/
https://www.ncbi.nlm.nih.gov/pubmed/33623884
http://dx.doi.org/10.1097/HS9.0000000000000542
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author Boender, Johan
Atiq, Ferdows
Cnossen, Marjon H.
van der Bom, Johanna G.
Fijnvandraat, Karin
de Meris, Joke
de Maat, Moniek P. M.
van Galen, Karin P. M.
Laros-van Gorkom, Britta A. P.
Meijer, Karina
Eikenboom, Jeroen
Leebeek, Frank W. G.
author_facet Boender, Johan
Atiq, Ferdows
Cnossen, Marjon H.
van der Bom, Johanna G.
Fijnvandraat, Karin
de Meris, Joke
de Maat, Moniek P. M.
van Galen, Karin P. M.
Laros-van Gorkom, Britta A. P.
Meijer, Karina
Eikenboom, Jeroen
Leebeek, Frank W. G.
author_sort Boender, Johan
collection PubMed
description Von Willebrand factor (VWF) multimer analysis is important in the classification of von Willebrand disease (VWD). Current visual VWF multimer analysis is time consuming and inaccurate in detecting subtle changes in multimer patterns. Although VWF multimer densitometric analysis may be useful, the accuracy needs further investigation before it can be widely applied. In this study we aimed to validate VWF multimer densitometric analysis in a large cohort of VWD patients and to identify patient characteristics associated with densitometric outcomes. Patients were included from the Willebrand in the Netherlands (WiN) study, in which a bleeding score (BS) was obtained, and blood was drawn. For multimer analysis, citrated blood was separated on an agarose gel and visualized by Western blotting. IMAGEJ was used to generate densitometric images and medium-large VWF multimer index was calculated. We included 560 VWD patients: 328 type 1, 211 type 2, and 21 type 3 patients. Medium-large VWF multimer index performed excellent in distinguishing visually classified normal VWF multimers from reduced high-molecular-weight (HMW) multimers (area under the curve [AUC]: 0.96 [0.94-0.98], P < 0.001), normal multimers from absence of HMW multimers (AUC 1.00 [1.00-1.00], P < 0.001), and type 2A and 2B from type 2M and 2N (AUC: 0.96 [0.94-0.99], P < 0.001). Additionally, higher medium-large VWF multimer index was associated with lower BS in type 1 VWD: β = -7.6 (-13.0 to -2.1), P = 0.007, adjusted for confounders. Densitometric analysis of VWF multimers had an excellent accuracy compared with visual multimer analysis and may contribute to a better understanding of the clinical features such as the bleeding phenotype of VWD patients.
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spelling pubmed-78922982021-02-22 Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease Boender, Johan Atiq, Ferdows Cnossen, Marjon H. van der Bom, Johanna G. Fijnvandraat, Karin de Meris, Joke de Maat, Moniek P. M. van Galen, Karin P. M. Laros-van Gorkom, Britta A. P. Meijer, Karina Eikenboom, Jeroen Leebeek, Frank W. G. Hemasphere Article Von Willebrand factor (VWF) multimer analysis is important in the classification of von Willebrand disease (VWD). Current visual VWF multimer analysis is time consuming and inaccurate in detecting subtle changes in multimer patterns. Although VWF multimer densitometric analysis may be useful, the accuracy needs further investigation before it can be widely applied. In this study we aimed to validate VWF multimer densitometric analysis in a large cohort of VWD patients and to identify patient characteristics associated with densitometric outcomes. Patients were included from the Willebrand in the Netherlands (WiN) study, in which a bleeding score (BS) was obtained, and blood was drawn. For multimer analysis, citrated blood was separated on an agarose gel and visualized by Western blotting. IMAGEJ was used to generate densitometric images and medium-large VWF multimer index was calculated. We included 560 VWD patients: 328 type 1, 211 type 2, and 21 type 3 patients. Medium-large VWF multimer index performed excellent in distinguishing visually classified normal VWF multimers from reduced high-molecular-weight (HMW) multimers (area under the curve [AUC]: 0.96 [0.94-0.98], P < 0.001), normal multimers from absence of HMW multimers (AUC 1.00 [1.00-1.00], P < 0.001), and type 2A and 2B from type 2M and 2N (AUC: 0.96 [0.94-0.99], P < 0.001). Additionally, higher medium-large VWF multimer index was associated with lower BS in type 1 VWD: β = -7.6 (-13.0 to -2.1), P = 0.007, adjusted for confounders. Densitometric analysis of VWF multimers had an excellent accuracy compared with visual multimer analysis and may contribute to a better understanding of the clinical features such as the bleeding phenotype of VWD patients. Lippincott Williams & Wilkins 2021-02-17 /pmc/articles/PMC7892298/ /pubmed/33623884 http://dx.doi.org/10.1097/HS9.0000000000000542 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Hematology Association. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Boender, Johan
Atiq, Ferdows
Cnossen, Marjon H.
van der Bom, Johanna G.
Fijnvandraat, Karin
de Meris, Joke
de Maat, Moniek P. M.
van Galen, Karin P. M.
Laros-van Gorkom, Britta A. P.
Meijer, Karina
Eikenboom, Jeroen
Leebeek, Frank W. G.
Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title_full Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title_fullStr Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title_full_unstemmed Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title_short Von Willebrand Factor Multimer Densitometric Analysis: Validation of the Clinical Accuracy and Clinical Implications in Von Willebrand Disease
title_sort von willebrand factor multimer densitometric analysis: validation of the clinical accuracy and clinical implications in von willebrand disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892298/
https://www.ncbi.nlm.nih.gov/pubmed/33623884
http://dx.doi.org/10.1097/HS9.0000000000000542
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