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Öğe Novel predictors of infarct-related artery patency for ST-segment elevation myocardial infarction: Platelet-to-lymphocyte ratio, uric acid, and neutrophil-to-lymphocyte ratio(Turkish Society of Cardiology, 2015) Acet, Halit; Ertaş, Faruk; Akıl, Mehmet Ata; Özyurtlu, Ferhat; Yıldız, Abdülkadir; Polat, Nihat; Bilik, Mehmet Zihni; Aydın, Mesut; Oylumlu, Mustafa; Kaya, Hasan; Yüksel, Murat; Akyüz, Abdurrahman; Ayçiçek, Hilal; Alan, Sait; Toprak, NizamettinObjective: The neutrophil/lymphocyte ratio (NLR), the platelet/lymphocyte ratio (PLR), and uric acid (UA) are inflammatory markers in cardiovascular disease. However, there are not enough data on infarct-related artery (IRA) patency in ST-segment elevation myocardial infarction (STEMI). We aimed to investigate the association of NLR, PLR, and UA with IRA patency before percutaneous coronary intervention (PCI) in STEMI. Methods: The study was designed as a retrospective study. Three hundred and twenty-four consecutive patients with STEMI were divided into two groups according to pre-PCI Thrombolysis in Myocardial Infarction flow grade (TIMI). Patients with a TIMI flow grade of into the spontaneous reperfusion (SR) group, while patients with TIMI flow grade of 0, 1 and 2 were placed into the non-SR group. The χ2 and independentsamples t-test, Mann-Whitney U test, multivariate logistic regression analysis, and receiver-operator characteristic (ROC) curve analysis were used for the statistical analysis. Results: PLR, NLR, and UA values in the SR group were lower than in the non-SR group (p<0.004, p<0.001, p<0.001, respectively). In the multivariate analysis, serum UA level and PLR were found to be independent predictors of pre-PCI IRA patency. In the ROC curve analysis, PLR >190, UA>5.75 mg/dL, and NLR>4.2 predicted non-SR. The sensitivity and specificity of the association between low IRA TIMI flow grade and PLR were 88% and 84%, 72% and 66% for UA, and 74% and 44% for NLR, respectively. Conclusion: We determined that PLR and UA are novel predictors of IRA patency before PCI. We suggest that PLR and UA may be used in riskstratifying STEMI. (Anatol J Cardiol 2015; 15: 648-56)Öğe The relationship between neutrophil to lymphocyte ratio and SYNTAX score in patients with ST-segment elevation myocardial infarction(Modestum Publishing Ltd., 2014) Acet, Halit; Ertaş, Faruk; Bilik, Mehmet Zihni; Kayan, Fethullah; Akıl, Mehmet Ata; Aydın, Mesut; Akyüz, Abdurrahman; Yüksel, Murat; Ayçiçek, Hilal; Özbek, Mehmet; Oylumlu, Mustafa; Yıldız, Abdulkadir; Alan, SaitObjective: We aimed to assess relationship between the severity of coronary atherosclerosis assessed by SYNTAX score (SS) and neutrophil to lymphocyte ratio (NLR) in patients with ST elevation myocardial infarction (STEMI. Methods: After accounting for exclusion criteria, a total of 291 patient with STEMI in whom primary percutaneous coronary intervention was performed were retrospectively included (216 male, 75 female; mean age 61.6+14.0 years). Total and differential leukocyte counts and other biochemical markers were measured at admission. Patients were categorized into tertiles on the basis of SS. Monitoring for major adverse cardiac events (MACEs) was performed during the in hospital follow-up period. Results: The SS high group leukocyte (p=0.009), neutrophil (p=0.008), NLR (p=0.048), peak troponin (p<0.001), peak CK-MB (p=0.001) lactate dehydrogenase (p=0.005), aspartate aminotransferase (p=0.004) values were significantly higher compared with SSlow and SSmid groups. SS was increased, left ventricular ejection fraction was decrease (p<0.001) and left ventricular systolic diameter was increased (p=0.007). The in-hospital death rate and MACEs were greater in the high SS group than in the other groups (p<0.001 both of). Conclusion: We found that high NLR was significantly and correlated increased with SS. In addition, high SS were significantly associated with increased in-hospital MACE and in-hospital death. Further prospective studies assessing the predictive role of both SS and NLR in conjunction for risk stratification might improve risk prediction in patients with STEMI. J Clin Exp Invest 2014; 5 (2): 211-218.