Antipsychotic therapy often causes side effects, one of which is metabolic syndrome. This condition increases the risk of cardiovascular disease and increases mortality in patients with schizophrenia. Currently, to improve the safety of antipsychotic therapy, the possibility of introducing into clinical practice the monitoring of hematologic inflammation coefficients as predictors of the development of metabolic syndrome is being considered. Objective: was to determine the presence of correlation between hematologic inflammation coefficients and metabolic syndrome in patients with schizophrenia. Methods: The study included 32 patients diagnosed with schizophrenia paranoid (F20.0, ICD-10), treated in a psychiatric hospital and receiving clozapine therapy. Patients were divided into two groups according to the presence or absence of metabolic syndrome. Metabolic syndrome was defined according to the International Diabetes Federation criteria. The groups were matched as similar as possible in terms of sex, age, therapy, smoking status and comorbidities of the patients. Results: In our study, no significant differences were found between patients with absence and presence of metabolic syndrome in terms of hematologic inflammation coefficients: neutrophil to lymphocyte ratio (p=0.752), monocyte to lymphocyte ratio (p = 0.734), systemic immune inflammation index (SII) (p=0.564), monocyte to high density lipoprotein ratio (p = 0.169). Discussion. The results of our study showed no significant differences between schizophrenic patients with metabolic syndrome and those without metabolic syndrome in terms of hematologic inflammatory coefficients. This may suggest that these inflammatory markers are not reliable predictors of the development of metabolic syndrome in patients with schizophrenia receiving clozapine therapy. Conclusion. However, these findings require further investigation, as existing data on the relationship between inflammatory processes and metabolic disorders in patients with psychiatric disorders remain inconsistent.