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Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
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Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
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Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke

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Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke
Journal Article

Red Blood Cell Morphodynamics in Patients with Polycythemia Vera and Stroke

2022
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Overview
Polycythemia vera (PV) is a Ph-negative myeloproliferative neoplasm (MPN) which is characterized by erythrocytosis and a high incidence of thrombotic complications, including stroke. The study aimed to evaluate red blood cell (RBC) morphodynamic properties in PV patients and their possible association with stroke. We enrolled 48 patients with PV in this cross-sectional study, 13 of which have a history of ischemic stroke. The control group consisted of 90 healthy subjects. RBC deformability and aggregation analysis were performed using a laser-assisted optical rotational red cell analyzer. The following parameters were calculated: aggregation amplitude (Amp), RBC rouleaux formation time constant (Tf), time of formation of three-dimensional aggregates (Ts), aggregation index (AI), rate of complete disaggregation (y-dis), and the maximal elongation of RBC (EImax). Statistical analysis was performed with the R programming language. There were significant differences in RBCs morphodynamics features between patients with PV and the control group. Lower EImax (0.47 (0.44; 0.51) vs. 0.51 (0.47; 0.54), p < 0.001) and γ-dis (100 (100; 140) vs. 140 (106; 188) s−1, p < 0.001) along with higher amplitude (10.1 (8.6; 12.2) vs. 7.7 (6.6; 9.2), p < 0.001) was seen in patients with PV compared with control. A statistically significant difference between PV patients with and without stroke in aggregation amplitude was found (p = 0.03). A logistic regression model for stroke was built based on RBC morphodynamics which performed reasonably well (p = 0.01). RBC alterations may be associated with overt cerebrovascular disease in PV, suggesting a possible link between erythrocyte morphodynamics and increased risk of stroke.