Influence of Blood Count, Cardiovascular Risks, Inherited Thrombophilia, and JAK2 V617F Burden Allele on Type of Thrombosis in Patients With Philadelphia Chromosome Negative Myeloproliferative Neoplasms.
Blood parameters
Cardiovascular risk factors
MPN patients
Thrombotic risk factors
V617F mutation in JAK2 gene
Journal
Clinical lymphoma, myeloma & leukemia
ISSN: 2152-2669
Titre abrégé: Clin Lymphoma Myeloma Leuk
Pays: United States
ID NLM: 101525386
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
17
07
2018
accepted:
31
08
2018
pubmed:
12
10
2018
medline:
23
2
2020
entrez:
11
10
2018
Statut:
ppublish
Résumé
Thrombosis is the most common complication in Philadelphia chromosome negative (Ph-) myeloproliferative neoplasms patients. In a cohort of 258 Ph- myeloproliferative neoplasm patients, the difference between patients with and without thrombosis was analyzed according to genetic thrombophilia factors, JAK2 V617F status and burden allele, blood count, cardiovascular risk factors and age. Patients were also divided in polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF) subgroups as well as by the type of thrombosis. Analysis of cardiovascular risk factors regarding arterial thrombosis showed that PV patients with thrombosis had higher incidence of diabetes (P = .030), ET patients more often had hypertension (P = .003) and hyperlipidemia (P = .005), while PMF patients had hyperlipidemia (P = .046) and at least one cardiovascular risk factor (P = .044). Moreover, leukocytes > 18 × 10 On the basis of our results, a new scoring system for thrombosis risk in PV could be made, while PMF prognostic model may be expanded for better recognition of potential thrombotic risk factors.
Identifiants
pubmed: 30301673
pii: S2152-2650(18)31049-8
doi: 10.1016/j.clml.2018.08.020
pii:
doi:
Substances chimiques
Janus Kinase 2
EC 2.7.10.2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
53-63Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.