The study examined factors influencing the effectiveness of treatment of non-pregnant mastitis (inflammation of the breast outside the breastfeeding period) based on inflammatory markers in the blood[1][4]. The research included 264 patients divided into a modeling group (185 patients) and a validation group (79 patients)[1]. The results showed that two key markers - SII (systemic inflation index) and CRP (C-reactive protein) - are the main factors influencing the success of the treatment[1][4]. The created predictive model achieved an area under the curve (AUC) of 0.94 in the modeling group and 0.85 in the validation group, indicating good prediction accuracy[1]. The model has practical value for clinical practice, as it allows doctors to better assess the condition of patients and predict the effectiveness of treatment[4]. Based on the analysis of these inflammatory markers, doctors can adapt the treatment plan and improve treatment results[4].