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Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values

Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera is difficult because of shared mutation and phenotypic characteristics. The World Health Organization suggested hemoglobin and hematocrit values to diagnose polycythemia vera (PV), but their sensitivity and specificity were no...

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Autores principales: Silver, Richard T., Krichevsky, Spencer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ferrata Storti Foundation 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821600/
https://www.ncbi.nlm.nih.gov/pubmed/30948488
http://dx.doi.org/10.3324/haematol.2018.213108
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author Silver, Richard T.
Krichevsky, Spencer
author_facet Silver, Richard T.
Krichevsky, Spencer
author_sort Silver, Richard T.
collection PubMed
description Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera is difficult because of shared mutation and phenotypic characteristics. The World Health Organization suggested hemoglobin and hematocrit values to diagnose polycythemia vera (PV), but their sensitivity and specificity were not tested. Moreover, red cell values do not accurately predict red cell mass, which we use to discriminate essential thrombocythemia JAK2V617F from PV. Eighty-three PV and 39 essential thrombocythemia JAK2V617F patients were diagnosed based on JAK2V617F positivity, chromium-51 red cell mass, and marrow biopsy findings. Red cell values used to construct a receiver operating characteristic analysis determined optimal thresholds for distinguishing essential thrombocythemia JAK2V617F from PV. Red cell value frequencies were plotted determining if overlap existed. Chromium-51 red cell mass separated PV from essential thrombocythemia JAK2V617F, but red cell values overlapped in 25.0-54.7%. Our data indicate that a significant proportion of PV patients may be underdiagnosed by using only red cell values. A bone marrow biopsy was performed in 199 of 410 (48.5%) and a serum erythropoietin value was measured in 225 of 410 (54.9%) of potential PV patients at our institution. Without isotope studies, marrow biopsies and serum erythropoietin values should improve diagnostic accuracy and become mandatory, but clinical data suggest these tests have not been routinely performed. Therefore, the clinical hematologist must be aware of imperfect accuracy when using only red cell values for distinguishing essential thrombocythemia JAK2V617F from PV.
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spelling pubmed-68216002019-11-05 Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values Silver, Richard T. Krichevsky, Spencer Haematologica Article Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera is difficult because of shared mutation and phenotypic characteristics. The World Health Organization suggested hemoglobin and hematocrit values to diagnose polycythemia vera (PV), but their sensitivity and specificity were not tested. Moreover, red cell values do not accurately predict red cell mass, which we use to discriminate essential thrombocythemia JAK2V617F from PV. Eighty-three PV and 39 essential thrombocythemia JAK2V617F patients were diagnosed based on JAK2V617F positivity, chromium-51 red cell mass, and marrow biopsy findings. Red cell values used to construct a receiver operating characteristic analysis determined optimal thresholds for distinguishing essential thrombocythemia JAK2V617F from PV. Red cell value frequencies were plotted determining if overlap existed. Chromium-51 red cell mass separated PV from essential thrombocythemia JAK2V617F, but red cell values overlapped in 25.0-54.7%. Our data indicate that a significant proportion of PV patients may be underdiagnosed by using only red cell values. A bone marrow biopsy was performed in 199 of 410 (48.5%) and a serum erythropoietin value was measured in 225 of 410 (54.9%) of potential PV patients at our institution. Without isotope studies, marrow biopsies and serum erythropoietin values should improve diagnostic accuracy and become mandatory, but clinical data suggest these tests have not been routinely performed. Therefore, the clinical hematologist must be aware of imperfect accuracy when using only red cell values for distinguishing essential thrombocythemia JAK2V617F from PV. Ferrata Storti Foundation 2019-11 /pmc/articles/PMC6821600/ /pubmed/30948488 http://dx.doi.org/10.3324/haematol.2018.213108 Text en Copyright© 2019 Ferrata Storti Foundation Material published in Haematologica is covered by copyright. All rights are reserved to the Ferrata Storti Foundation. Use of published material is allowed under the following terms and conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode. Copies of published material are allowed for personal or internal use. Sharing published material for non-commercial purposes is subject to the following conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode, sect. 3. Reproducing and sharing published material for commercial purposes is not allowed without permission in writing from the publisher.
spellingShingle Article
Silver, Richard T.
Krichevsky, Spencer
Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title_full Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title_fullStr Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title_full_unstemmed Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title_short Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values
title_sort distinguishing essential thrombocythemia jak2v617f from polycythemia vera: limitations of erythrocyte values
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821600/
https://www.ncbi.nlm.nih.gov/pubmed/30948488
http://dx.doi.org/10.3324/haematol.2018.213108
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