Background. Psoriasis against the background of carbohydrate metabolism disorders has a severe course and significantly worsens the quality of life and prognosis of patients. For this reason, the task of modern health care is to develop new affordable diabetes screening tools for early diagnosis and selection of rational therapy.
Objective. Evaluation of the predictive value (effectiveness) of the diabetes screening questionnaire for predicting diabetes mellitus in patients with psoriasis in comparison with traditional scoring methods for diagnosing diseases.
Methods. The study involved 410 patients with various forms of psoriasis, who were admitted in the Dermatology Department of the Novosibirsk Regional Clinical Dermatovenerologic Dispensary As a quantitative measure of the effect when comparing relative indicators, we used the odds ratio, defined as the ratio of the probability of an event occurring in a group exposed to a risk factor to the probability of an event occurring in the control group. Multiple logistic regression (MLR) was used to obtain a predictive model for the presence/absence of diabetes in patients with psoriasis.
Results. The accuracy of the obtained model DEWS1&2 + Diabetes Prediction Score Table in patients with psoriasis was 85.6%. Conclusion. The recognition of psoriasis as a systemic disease characterized by chronic inflammation, a widespread dysimmune background, and a dysmetabolic environment allows to expand the preventive and therapeutic approach to psoriasis.

Keywords: psoriatic triangle symptom, markers for diabetes mellitus, diabetes screening questionnaire, psoriasis, diabetes mellitus, metabolic syndrome