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Aim. To study the presence and localization of the P2X and P2Y receptor subtypes in the human cystic artery and great saphenous vein (with and without varicose disease).Methods. Segments of the human blood vessels were stained using a standard two-step immunohistochemical analysis using primary and secondary antibodies. In the experiments primary antibodies to the following receptors were used: Р2Х1, Р2Х2, Р2Х3, Р2Х4, Р2Y1, Р2Y2, Р2Y4. In order to determine the presence of a receptor in a vessel sample a comparison was made between staining of the experimental and the control samples, which were not treated with primary antibodies.Results. Immunohistochemical analysis of the cystic artery showed the presence of Р2Х1, Р2Х3, Р2Y1, Р2Y2 receptors. All receptor subtypes were found to be located in the muscular layer of the artery, whereas the P2Y1 receptor was also expressed on the surface of the endothelial cells. In the great saphenous vein without varicose disease Р2Х1, Р2Х2 и Р2Y1 receptor subtypes were identified, all of which were found to be located on the smooth muscle cells of the vein. Similarly to the cystic artery, the Р2Y1 receptor was also found within the endothelial layer of the vein. At the same time, only Р2Х2 и Р2Y1 receptor subtypes were expressed in the muscular layer of the great saphenous vein affected by varicose disease. No P2 receptor subtypes were identified on the endothelial layer of the varicose-diseased vein.Conclusion. Different P2 receptor subtypes were found to be present in the smooth muscle and endothelial layers of the human cystic artery and great saphenous vein. The identified differences in the receptor subtypes between samples of great saphenous veins with and without varicose disease are, most likely, explained by the restructuring of the receptor apparatus as a result of varicose disease progression.

Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system events timestamps.Results. The data concerning hospital information systems’ influence on electronic health records operating time changes and hospitalization delays was obtained. A correlation between the initial hospitalization delay and hospital capacity was discovered (r=0.917). The emergency room automation significantly reduces hospitalization delays. Under clinical information system operating conditions, the primary examination time recording increases twice, while the time spent for all other electronic health records decreases in higher order. Considerable difference between primary examination recording time and the time, necessary for other personal health record registrations, has satisfactory interpretation within the heterogeneous medical data sources integration model, but not within usability model. In general, the gained data does not confirm results of previously published researches pointing the increased time doctors spent for data management in automation conditions.Conclusion. Hospital information systems implementation improved the specialist’s labor productivity and main working processes work capacity. The obtained data indicate a greater influence of automation in large healthcare facilities and reject usability hypothesis of hospital information systems efficiency.