Description

The hematological index validation study is a single-center interventional prospective study. The aim of the study: to determine the average and threshold values of hematological indices in patients with cardiac surgery before surgery and in the early postoperative period; to determine the levels of hematological indices that indicate an unfavorable course of the postoperative period and may be predictors of infection or multiple organ dysfunction. The study will include 200 patients who are shown cardiac surgery. Blood samples will be collected before the study at three stages: before the operation, on the first day after the operation and on the third day after the operation. Based on the hematological indices studied (NLR, PLR, SII), other biomarkers often used in clinical practice (presepsin, procalcitonin, interleukins, etc.) will also be determined. Each patient will be monitored throughout the perioperative period until the patient is discharged from the hospital by the study participants, in the future all records from the medical history will also be analyzed., including data from instrumental and laboratory studies, consultations of specialists. Based on these data, patients will be divided into groups depending on the presence of complications and their nature. Data concerning demographic indicators, the levels of biomarkers studied and the course of postoperative will be stored in the Exel program. Statistical analysis is planned to be carried out in the IBM SPSS Statistics program. For each quantitative indicator, the nature of the distribution will be determined using the Kolmogorov-Smirnov criterion. All quantitative data with a normal distribution will be presented in the form of mean and standard deviation; with a distribution other than normal - in the form of a median (Q2) and an interquartile span (Q1; Q3). Parametric and nonparametric criteria will be used to assess the differences between the samples, depending on the nature of the distribution. It is planned to complete the correlation analysis performed; assessment of the influence of independent variables on dependent, encoded binary, using logistic regression; construction of ROC curves. It is planned to calculate the odds ratio (OR), 95% confidence interval (CI) and the significance of the influence of p. In all cases, the results of statistical analysis are considered significant at p < 0.05.