Abstract

Background. Psoriasis is an immune-mediated inflammatory disease affecting the skin, characterized by keratinocyte hyperproliferation and T-lymphocyte inflammation, with a worldwide prevalence of 2–4% [1]. Proinflammatory molecules released during chronic inflammation can lead to one or more comorbidities such as atherosclerosis, insulin resistance, hypertension, obesity, dyslipidemia, metabolic syndrome, and type 2 diabetes mellitus [2–4]. Given the close comorbid relationship between psoriasis and type 2 diabetes mellitus, we recommend screening patients using a previously developed diabetes screening questionnaire. Purpose. To determine the results of validation of the diabetes screening test from October 2021 to October 2022 and to conduct a single-center cohort retrospective continuous study of 100 people with psoriasis. Materials and Methods. Data collection, its subsequent correction, systematization of initial information and visualization of the results obtained were carried out in Microsoft Office Excel (2016) spreadsheets. Statistical processing of the results was carried out using the Python language (Python 3.8.). For calculations, built-in functions from the Statsmodels.api and Scipy modules were used. Quantitative indicators were assessed for compliance with normal distribution, using the Shapiro-Wilk test. Results. A test for normal distribution showed that the data in the study were not normally distributed. Therefore, further calculations were made using nonparametric statistics methods. The median was calculated as the center of distribution, and quartiles were calculated as indicators of variation (Me [Q1; Q3]). Mann-Whitney U test was used to compare unrelated samples. Conclusion. The validation stage showed that the use of screening questionnaires developed by the authors is a simple and low- cost method that is effective in identifying the pathology of type 2 diabetes, which makes it possible to recommend them for testing psoriasis patients at annual medical examinations.

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