Tıp Fakültesi / Faculty of Medicine
Permanent URI for this collectionhttps://hdl.handle.net/11727/1403
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Item Hematological Parameters Can Predict the Extent of Coronary Artery Disease in Patients with End-Stage Renal Disease(2015) Bal, Zeynep; Bal, Ugur; Okyay, Kaan; Yilmaz, Mustafa; Balcioglu, Serhat; Turgay, Ozge; Hasirci, Senem; Aydinalp, Alp; Yildirir, Aylin; Sezer, Siren; Muderrisoglu, Haldun; 0000-0002-8342-679X; 0000-0001-6134-8826; 0000-0002-6731-4958; 0000-0002-9635-6313; 0000-0002-3761-8782; 0000-0002-9446-2518; 0000-0001-8750-5287; 0000-0002-2557-9579; 26246038; AAK-7805-2021; AAK-7355-2020; GPX-1387-2022; AAG-8233-2020; AAD-5841-2021; AAK-4322-2021; AAZ-5795-2021; A-4947-2018; S-6973-2016Aside from traditional factors (e.g., diabetes, age, and hypertension), some hematological parameters, such as neutrophil-to-lymphocyte ratio (NLR), red blood cell distribution width (RDW), and mean platelet volume (MPV), have increasingly been reported as measures of systemic inflammation and atherosclerosis in patients with end-stage renal disease (ESRD). This study aimed to determine whether there is an association between these hematological parameters and the extent of coronary artery disease (CAD) in patients with ESRD. A total of 149 consecutive ESRD patients (66 % males) without established CAD were studied. NLR, RDW, and MPV values in all patients were calculated from the complete blood count before coronary angiography. Angiographic views were assessed by an experienced interventional cardiologist, and the extent of CAD was evaluated by the Gensini score. The patients were divided into quartiles of the Gensini score. Age, time on dialysis, calcium-phosphorus product, C-reactive protein levels, NLR, and MPV were significantly different among the groups (all p < 0.05). The Gensini score was correlated with age, time on dialysis (both p < 0.001), NLR (p = 0.004), and C-reactive protein levels (p = 0.034) and inversely correlated with left ventricular ejection fraction (p = 0.023). Multivariate regression analysis showed that age (p = 0.001), time on dialysis (p < 0.001), NLR (p = 0.001), and MPV (p = 0.005) were independent predictors of the extent of CAD. Aside from the well-known traditional factors, NLR and MPV are independent predictors of the extent of CAD in patients with ESRD.Item Coronary Artery Disease Detected by Coronary Computed Tomography Angiography is Associated with Red Cell Distribution Width(2016) Karacaglar, Emir; Bal, Ugur; Hasirci, Senem; Yilmaz, Mustafa; Doganozu, Ersin; Coskun, Mehmet; Atar, Ilyas; Yildirir, Aylin; Muderrisoglu, Haldun; 0000-0002-2538-1642; 0000-0002-9446-2518; 0000-0002-8342-679X; 0000-0002-2557-9579; 0000-0001-8750-5287; 0000-0002-9635-6313; 27774965; ABI-6723-2020; AAK-4322-2021; AAK-7805-2021; S-6973-2016; A-4947-2018; AAG-8233-2020Objective: Increased red blood cell distribution width (RDW) is associated with severity of coronary artery disease (CAD). The aim of the present study was to retrospectively evaluate the relationship between CAD detected by coronary computed tomography angiography (CCTA) and RDW. Methods: Records of 291 patients who underwent 16-slice CCTA due to the presence of angina-like chest pain were retrospectively evaluated. Exclusion criteria were applied. Clinical characteristics, risk factors for CAD, and RDW values on CCTA were noted. Results: RDW levels in patients with CAD were significantly higher than in those with normal coronary arteries (NCAs) (15.50 +/- 1.57 compared to 14.80 +/- 1.41, p=0.001). Diabetes mellitus, hypertension, and history of smoking were significantly more common in the CAD group (p=0.018, p=0.007, and p=0.013, respectively). On multivariate logistic regression analysis, RDW (p=0.009 [odds ratio (OR): 1.352; 95% confidence interval (CI): 1.081-1.683]), age (p<0.001 [OR: 1.063; 95% CI 1.031-1.090]), and history of smoking (p=0.003 [OR: 2.672; 95% CI: 1.360-5.232]) were shown to be independent predictors for CAD detected by CCTA. Conclusion: The present results suggest that higher RDW levels are independently associated with presence of CAD detected by CCTA in patients without known CAD. Further studies are warranted to clarify the exact role of RDW in risk stratification.