ABSTRACT Objective: In this study, we aimed to determine whether plasma calcium level and C-reactive protein albumin ratio (CAR) as well as other demographic and hematological markers are related in predicting severe bleeding after coronary artery bypass grafting (CABG). Methods: A total of 227 adult patients who underwent CABG at our hospital between December 2021 and June 2022 were prospectively studied. Total amount of chest tube drainage was evaluated within the first 24 hours postoperatively or until the patient was re-explored for bleeding. The patients were divided into two groups - Group 1, patients with low amount of bleeding (n=174), and Group 2, patients with severe bleeding (n=53). Univariate and multivariate regression analyzes were performed to determine independent parameters related to severe bleeding within the first 24 hours after surgery. Results: When the groups were compared in terms of demographic, clinical, and preoperative blood parameters; cardiopulmonary bypass time and serum C-reactive protein (CRP) levels were found to be significantly higher in Group 2 compared to the low bleeding group. In addition, lymphocytes, hemoglobin, calcium, albumin, and CAR were found to be significantly lower in Group 2. In multivariate analysis, calcium, albumin, CRP, and CAR were found to be independent predictors of significant association with excessive bleeding. A cut-off value of 8.7 (94.3% sensitivity and 94.8% specificity) for calcium and 0.155 (75.4% sensitivity and 80.4% specificity) for CAR predicted excessive bleeding. Conclusion: Plasma calcium level, CRP, albumin, and CAR can be used to predict severe bleeding after CABG.

ABSTRACT Objective: In this study, we aimed to determine whether plasma calcium level and C-reactive protein albumin ratio (CAR) as well as other demographic and hematological markers are related in predicting severe bleeding after coronary artery bypass grafting (CABG). Methods: A total of 227 adult patients who underwent CABG at our hospital between December 2021 and June 2022 were prospectively studied. Total amount of chest tube drainage was evaluated within the first 24 hours postoperatively or until the patient was re-explored for bleeding. The patients were divided into two groups - Group 1, patients with low amount of bleeding (n=174), and Group 2, patients with severe bleeding (n=53). Univariate and multivariate regression analyzes were performed to determine independent parameters related to severe bleeding within the first 24 hours after surgery. Results: When the groups were compared in terms of demographic, clinical, and preoperative blood parameters; cardiopulmonary bypass time and serum C-reactive protein (CRP) levels were found to be significantly higher in Group 2 compared to the low bleeding group. In addition, lymphocytes, hemoglobin, calcium, albumin, and CAR were found to be significantly lower in Group 2. In multivariate analysis, calcium, albumin, CRP, and CAR were found to be independent predictors of significant association with excessive bleeding. A cut-off value of 8.7 (94.3% sensitivity and 94.8% specificity) for calcium and 0.155 (75.4% sensitivity and 80.4% specificity) for CAR predicted excessive bleeding. Conclusion: Plasma calcium level, CRP, albumin, and CAR can be used to predict severe bleeding after CABG.

SUMMARY OBJECTIVE: This study aimed to analyze its predictive role in incipient postoperative atrial fibrillation by constructing an inflammatory prognostic index based on hematological and biochemical parameters in patients undergoing elective isolated coronary artery surgery accompanied by cardiopulmonary bypass. METHODS: The data of 343 patients who underwent coronary bypass surgery between May 2021 and July 2022 were evaluated. Multivariate logistic regression and recipient study characteristic curve analyses were studied by comparing the patients’ hematological indices and basic clinical features between the two groups. RESULTS: Logistic regression analysis showed that age (p<0.001), hypertension (p=0.01), and inflammatory prognostic index (p<0.001) were independent predictors of new-onset postoperative atrial fibrillation. To predict the development of postoperative atrial fibrillation, a cutoff value of 0.25 (77.8% sensitivity and 69.3% specificity) was determined for inflammatory prognostic index in the receiver-operating characteristic curve analysis (area under curve=0.798, 95% confidence interval 0.752–0.840). CONCLUSION: Inflammatory prognostic index can be a noninvasive, easily available marker for predicting new-onset atrial fibrillation after coronary artery bypass surgery.