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American Journal of Hematology
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
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The triple A model (age, absolute neutrophil count, absolute lymphocyte count‐AAA) predicts survival and thrombosis in polycythemia vera

Authors: Ivan Krecak; Danijela Lekovic; Isidora Arsenovic; Hrvoje Holik; Ivan Zekanovic; Martina Moric Peric; Marko Lucijanic;

The triple A model (age, absolute neutrophil count, absolute lymphocyte count‐AAA) predicts survival and thrombosis in polycythemia vera

Abstract

To the Editor: BCR::ABL1-negative chronic myeloproliferative neoplasms (MPNs), polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis are characterized by constitutive activation of the JAK-STAT signaling pathway caused by mutations in the Janus Kinase 2 (JAK2), carelticulin, or thrombopoetin receptor genes. These neoplasms share persistent chronic inflammatory state and high cardiovascular risk. The main treatment goal in ET and PV is to prevent thrombotic events; PV patients older than >60 years or those with thrombosis history are considered to be at high risk of future thrombotic events according to European Leukemia Network (ELN) criteria, whereas prior thrombosis or age >60 years along with the presence of JAK2 mutation classifies ET patients at high risk. To mitigate thrombotic risk, all PV patients receive aspirin, as well as low-to-high ET patients. Additionally, high-risk patients are treated with hydroxyurea or interferons.1 Advanced age, leukocytosis, abnormal karyotype, and adverse mutations are associated with inferior overall survival (OS) in PV,2 while leukocytosis and prior thrombosis are the main determinants of OS in ET patients.

Keywords

polycythemia vera, Neutrophils, Humans, Hydroxyurea, Thrombosis, Lymphocyte Count, triple A model, Polycythemia Vera, thrombosis

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    15
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
bronze
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