Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightAs a reliable and ‘easy-to-assess’ diagnostic tool, AIP could be useful for the determination of thrombotic events in CMPD clinicobiological disease course.
📌 3 Maddede Bu Makale
Abstract
Objectives: Chronic myeloproliferative diseases (CMPD) are neoplastic disorders leading to hypercoagulability and thrombosis. The critical hemostatic abnormalities include alterations in the blood viscosity and a history of recent thrombus. The aim of this study is to assess the interrelationships among the atherogenic index of plasma (AIP) and thromboembolism of CMPD with JAK2 V617F mutation. Methods: Ninety-two patients diagnosed as CMPD with JAK2 V617F mutation and 73 controls were included into the study. The patients were evaluated for the presence of any venous or arterial thromboembolic events. AIP was calculated by using the formula log (Tg/HDL) from serum triglyceride and high-density lipoprotein values. Results: The study group consisted of 30 patients (33%) with myelofibrosis (MF), 42 patients (46%) with polycythemia vera (PV) and 20 patients (21%) with essential thrombocythemia (ET). Two study groups were similar in terms of sex, age and other comorbidities (p > 0.05). CMPD group had higher levels of right blood cell count (RBC), red blood cell distribution width (RDW), platelets (PLT), hemotocrit (Hct) and AIP. Univariate and multivariate logistic regression analysis revealed that platelet count, RBC and AIP were independent predictors for thrombosis in both groups. The comparison of ROC curve analysis disclosed that AIP was superior to platelet count and RBC in predicting thrombosis. Conclusion: AIP can be used to determinate higher risk of thromboembolism in patients with CMPD. As a reliable and ‘easy-to-assess’ diagnostic tool, AIP could be useful for the determination of thrombotic events in CMPD clinicobiological disease course.