The accurate diagnosis of keratoconus, especially in its early stages of development, allows one to utilise timely and proper treatment strategies for slowing the progression of the disease and provide visual rehabilitation. Various keratometry indices and classifications for quantifying the severity of keratoconus have been developed. Today, many of them involve the use of the latest methods of computer processing and data analysis. The main purpose of this work was to develop a machine-learning-based algorithm to precisely determine the stage of keratoconus, allowing optimal management of patients with this disease. A multicentre retrospective study was carried out to obtain a database of patients with keratoconus and to use machine-learning techniques such as principal component analysis and clustering. The created program allows for us to distinguish between a normal state; preclinical keratoconus; and stages 1, 2, 3 and 4 of the disease, with an accuracy in terms of the AUC of 0.95 to 1.00 based on keratotopographer readings, relative to the adapted Amsler–Krumeich algorithm. The predicted stage and additional diagnostic criteria were then used to create a standardised keratoconus management algorithm. We also developed a web-based interface for the algorithm, providing us the opportunity to use the software in a clinical environment.

Психические расстройства у лиц старше 18 лет достаточно распространены и представлены довольно обширным списком заболеваний. У пациентов с подобной патологией также возникает необходимость проведения вмешательств и манипуляций в условиях анестезии. В статье представлены принципы ведения периоперационного периода у больных с наиболее распространенными психическими заболеваниями -аффективные расстройства, шизофрения, биполярное расстройство, тревожные расстройства, поведенческие синдромы, связанные с физиологическими нарушениями (булимия, анорексия). Отражены профилактика рецидивов психического забо-

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Study of the arteriovenous difference in hormone levels and hemostasis parameters in rats with experimental gestosis induced by hyper-sodium diet showed decreased production of progesterone, increased level of hydrocortisone (resultant from its increased production and additional release of the hormone by the lungs), hypercoagulation, and retarded fetal development. Involvement of the lungs into the maintenance of optimum rheological parameters of arterial blood and a relationship between the level of fetoplacental hormones and the function of pulmonary fibrinolytic filter were detected.

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