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    Does pulmonary hypertension affect early-term outcomes of off-pump coronary artery bypass surgery?
    (Assoc Medica Brasileira, 2022) Velioğlu, Yusuf; Yüksel, Ahmet; Topal, Dursun; Korkmaz, Ufuk Turan Kürşat; Dönmez, İbrahim; Badem, Serdar; Uçaroğlu, Erhan Renan
    OBJECTIVE: This study aimed to investigate the effect of preoperative pulmonary hypertension (PHT) on postoperative early mortality and morbidity in patients undergoing off-pump coronary artery bypass grafting (CABG).METHODS: A total of 1107 patients undergoing elective first-time off-pump CABG between January 2011 and April 2022 were included in this retrospective observational cohort study. The patients were categorized into two groups according to their preoperative systolic pulmonary artery pressure (SPAP) values. The PHT group (n=104) consisted of patients with a SPAP value >30 mmHg, while the non-PHT group (n=1003) consisted of patients with a SPAP value <= 30 mmHg. Patients' preoperative demographics and clinical features, operative data, and postoperative outcomes were recorded and then compared between the groups.RESULTS: In the PHT group, the median age was significantly higher (66 vs. 63 years, p=0.001) and the median left ventricular ejection fraction level was significantly lower (45 vs. 50%, p=0.045) as compared to the non-PHT group. Additionally, the PHT group included a significantly greater percentage of patients with chronic obstructive pulmonary disease (22.1 vs. 7.4%, p=0.019). As perioperative early-term outcomes, complications, and mortality were considered, the groups were statistically similar, and there were no significant differences between the groups, except for the development of atrial fibrillation.CONCLUSION: For the first time in the literature, this study revealed that mild PHT (mean SPAP=38.9 +/- 8.7 mmHg) did not significantly affect early -term outcomes of off-pump CABG.
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    Systemic immune-inflammation index as a novel predictor of atrial fibrillation after off-pump coronary artery bypass grafting
    (Assoc Medica Brasileira, 2022) Topal, Dursun; Korkmaz, Ufuk Turan Kürşat; Velioglu, Yusuf; Dönmez, İbrahim; Uçaroğlu, Erhan Renan; Kayış, Seyit Ali; Yüksel, Ahmet
    OBJECTIVE: This study aims to examine the predictive role of systemic immune-inflammation index on postoperative new-onset atrial fibrillation in patients undergoing off-pump coronary artery bypass grafting. METHODS: A total of 722 patients undergoing elective off-pump coronary artery bypass grafting between January 2017 and September 2021 were included in this study and divided into two groups as the atrial fibrillation group (n=172) and the non-atrial fibrillation group (n=550). Both groups were compared in terms of patients' baseline clinical features, operative and postoperative variables, and preoperative hematological indices derived from the complete blood count analysis. Multivariate logistic regression and receiver-operating characteristic curve analyses were performed to detect the independent predictors of postoperative new-onset atrial fibrillation. RESULTS: The median age and length of hospital stay in the atrial fibrillation group were significantly higher than those in the non-atrial fibrillation group. The median values of white blood cell, platelet, neutrophil, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and systemic immune -inflammation in the atrial fibrillation group were significantly greater than in those in the non-atrial fibrillation group. Logistic regression analysis demonstrated that age, platelet, platelet/lymphocyte ratio, and systemic immune-inflammation were independent predictors of postoperative new -onset atrial fibrillation. receiver-operating characteristic curve analysis revealed that systemic immune-inflammation of 706.7x103/mm3 constituted cut-off value to predict the occurrence of new-onset atrial fibrillation with 86.6% sensitivity and 29.3% specificity. CONCLUSION: Our study revealed for the first time that systemic immune-inflammation predicted new-onset atrial fibrillation after off-pump coronary artery bypass grafting.
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    Systemic immune-inflammation index for predicting poor outcome after carotid endarterectomy: A novel hematological marker
    (Sage Publications Ltd, 2022) Yüksel, Ahmet; Velioğlu, Yusuf; Korkmaz, Ufuk Turan Kürşat; Deşer, Serkan Burç; Topal, Dursun; Uçaroğlu, Erhan Renan
    Objective To investigate the predictive role of systemic immune-inflammation index (SII) on postoperative poor outcome in patients undergoing carotid endarterectomy (CEA). Methods A total of 347 patients undergoing elective isolated CEA between March 2010 and April 2022 were included in this multicenter retrospective observational cohort and risk-prediction study and were divided into two groups as poor outcome group (n = 23) and favorable outcome group (n = 324). Poor outcome was defined as the presence of at least one of the complications within 30 days of surgery including stroke, myocardial infarction, and death. The patients' baseline clinical characteristics, comorbidities, and hematological indices were derived from the complete blood count (CBC) analysis, and perioperative data, outcomes, and complications were screened, recorded, and then compared between the groups. Multivariate logistic regression and receiver-operating characteristic (ROC) curve analyses were conducted following univariate analyses to detect the independent predictors of poor outcome as well as the cutoff values with sensitivity and specificity rates. Results A total of 23 patients out of 347 (6.6%) manifested poor outcome; and stroke, myocardial infarction, and death occurred in 13, 3, and 7 cases, respectively. There were no significant differences between the groups in terms of basic clinical characteristics, comorbidities, and perioperative data, except for lengths of intensive care unit and hospital stays. Although the median values of PLT, PLR, NLR, and SII of the poor outcome group were found to be significantly higher than the favorable outcome group in univariate analysis, only SII was detected to be a significant and independent predictor of poor outcome in multivariate logistic regression analysis (OR = 1.0008; 95% CI: 1.0004-1.0012; p = 0.002). ROC curve analysis revealed that SII of 1356 x 10(3)/mm(3) constituted the cutoff value for predicting poor outcome with 78.3% sensitivity and 64.5% specificity (AUC = 0.746; 95% CI: 0.64-0.851). Conclusions Our study revealed for the first time in the literature that SII significantly predicted poor outcome after CEA. Keywords