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Prothrombotic changes in patients with end-stage renal disease and its relation to thrombotic cardiovascular complication
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There is a great risk of cardiovascular disease (CVD) and vascular thrombosis in patients with End-Stage Renal Disease (ESRD). These patients exhibit numerous abnormalities in coagulation, fibrinolytic, inhibitory protein abnormalities in multiple levels. The study aimed to assess hypercoagulable changes by measuring the levels of antithrombin, plasma fibrinogen and FXII activity in patients with ESRD, and to find their correlation with Hemoglobin (Hb) level, WBC count, reticulocyte percentage and platelet count. This study was conducted at Al-Hayat center, Al Karama Teaching Hospital on 50 ESRD patients aged < 60 years of both genders. In addition, 20 apparently healthy individuals were included as a control group. The mean Hb level, total WBC count, absolute neutrophil count, reticulocyte percentage and platelet count were significantly lower in ESRD patients than control (P<0.05). The mean values of prothrombin time (PT), activated partial thromboplastin time (APTT), plasma fibrinogen and Factor XII activity were significantly higher in patients than controls. Antithrombin activity was significantly lower in patients group than controls (P<0.001). Cardiovascular complications and vascular thrombosis including deep venous thrombosis( DVT), cerebrovascular accident (CVA), myocardial infarction (MI), angina or heart failure were reported in 62% of the patients who had significantly higher PT, APTT, and factor XII activity, and lower antithrombin activity as compared to those without cardiovascular complication and vascular thrombosis. In conclusion, ESRD patients had coagulation abnormalities rendering them more liable to have cardiovascular complications and vascular thrombosis.

Scopus
Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy Bridge Regression Model Estimating via Simulation
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      The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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Crossref
Publication Date
Sat Dec 01 2012
Journal Name
Advances In Bioresearch
Cytotoxicity of Miltefosine against Leishmania majorPromastigotes
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