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Systemic Inflammatory Index in Polycythemia Vera and Its Prognostic Implications.
Ivan Krecak1,2,3, Danijela Lekovic4,5, Isidora Arsenovic4
1Department of Internal Medicine, General Hospital of Sibenik-Knin County, 22000 Sibenik, Croatia.
The systemic inflammatory index (SII) is a valuable prognostic marker in polycythemia vera (PV). Higher SII levels correlate with increased risk of thrombosis and reduced overall survival in PV patients.
Area of Science:
- Hematology
- Oncology
- Inflammation
Background:
- Polycythemia vera (PV) is a myeloproliferative neoplasm.
- The systemic inflammatory index (SII), derived from neutrophil, lymphocyte, and platelet counts, is a potential prognostic marker.
- Previous research suggests SII predicts thrombotic and mortality risks in the general population.
Purpose of the Study:
- To evaluate the clinical and prognostic associations of SII in polycythemia vera (PV) patients.
- To determine if SII can refine risk stratification in PV.
- To compare the prognostic performance of SII with other complete blood count (CBC) parameters.
Main Methods:
- Retrospective analysis of 279 PV patients from Croatian and Serbian hematologic centers.
- Calculation of SII using absolute neutrophil count (ANC), absolute lymphocyte count (ALC), and platelet count (ANCxALC/platelet count).
- Evaluation of associations between SII, time to thrombosis (TTT), and overall survival (OS).
Main Results:
- Higher SII was significantly associated with shorter TTT (p = 0.004), particularly arterial thrombotic events.
- Higher SII was significantly associated with shorter OS (p < 0.001).
- SII improved risk stratification for thrombosis and survival, especially in PV patients over 60 years old, outperforming other CBC indices.
Conclusions:
- The systemic inflammatory index (SII) is a significant prognostic factor for thrombosis and survival in polycythemia vera (PV).
- SII offers enhanced risk stratification for PV patients, complementing existing risk models.
- These findings support the use of SII for personalizing treatment strategies in PV.
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