Introduction. Bladder Pain Syndrome (BPS) is relevant scientific topic in urology. Most patients are young and middle-aged women, the disease leads to psycho-emotional disorders and a significant decrease in the quality of life. The etiology of BPS is not fully known and existing treatments are not effective enough. The aim of the study was to increase the effectiveness and predict the outcome of treatment for BPS in women.

Materials and methods. The study involved 110 women with a confirmed diagnosis of BPS. The average age was 44.8 ± 3.4 years, the duration of the disease on average was 31.4 ± 25.4 months. All observed patients consistently underwent three lines of treatment such as behavior therapy and pharmacological management, hydrodistension of the bladder and intravesical botulinum injection. We proceeded to the next stage of treatment in the absence of effect from the previous line of treatment. Before and during treatment all patients completed specialized questionnaires such as ICSI, PUF Scale, BPIC-SS, UWSI, QoL, visual analogue pain scale, as well as urination diaries. Treatment was considered as effective in improving the quality of life according to the QoL questionnaire by at least 1 point.

Results and discussion. The results of statistical analysis revealed that quality of life by 1 point or more improves with a decrease in the total score for the PUF Scale questionnaire by 20% or more, in the ICSI questionnaire by 20% or more, with a decrease in visual analogue pain scale by 2 points or more and with a decrease urination frequency of 20% or more. The analysis of the results of 3 treatment lines showed that the effectiveness of therapy is not the same in different groups of patients. Significant differences between groups of patients were revealed depending on the treatment results obtained. Based on these data an algorithm has been developed that allows predicting the results of treatment on the basis of the initial data obtained during examination of patients before starting therapy.

Conclusions. The efficiency criteria shows to reliably evaluate the results of treatment of patients with BPS. The proposed algorithm shows predicting the results of treatment and recommending the most optimal treatment method without conducting the previous stages of treatment.

Conflict of interest. The authors declare no conflict of interest.