The incidence of Caroli disease is estimated to be 1 case per 1 million people; as a result, there are very few available clinical observations. At the moment, the treatment of Caroli disease is limited to symptomatic therapy and the prevention of complications, as well as to corrective surgery and liver transplantation.Aim. The aim of this observation is to describe one case of a rare congenital liver disease – Caroli disease – characterised by a segmented non-obstructive fibrocystic dilation of the intrahepatic bile ducts.Key findings. A 21-year-old woman was hospitalised with the signs of a systemic inflammatory reaction, hepatosplenomegaly, jaundice, portal hypertension, hepatocellular insufficiency, as well as with the manifestations of cytolytic and cholestatic syndromes. At the age of 8, she was diagnosed with a cyst of the bile ducts, which was treated with cystoenteroanastomosis. At the age of 20, in connection with high portal hypertension, portocaval shunting was performed and a mesenteric-caval anastomosis was applied. During the present hospitalisation, an expansion of the intrahepatic bile ducts was revealed by ultrasound and MSCT of the abdominal cavity with contrast, which made it possible to diagnose Caroli disease.Conclusion. A case of Caroli disease is described, which resulted in continuously recurrent cholangitis and biliary cirrhosis. This state required liver transplantation. Caroli disease should be included in differential diagnosis in patients suffering from the fever of unknown origin and cholestasis syndrome. An early diagnosis of Caroli disease is important for preventing complications, improving the quality of life and increasing the life expectancy of patients suffering from this rare disease.
Aim: to apply the neural network analysis method of multi-data of patients with community-acquired pneumonia (CAP) to recognize the variability of their diagnoses and discovery of new analytical capabilities of NSA based on new methodological approaches of the meeting. Materials and methods: in this paper, we applied a new approach of neural network analysis of multivariate data, obtained based on clinical, laboratory and instrumental tests in 60 patients older than 65 years at various stages of the treatment of community-acquired pneumonia. Anthropometric data were used together with the results of immunological and immunochemical studies of blood serum of patients with community-acquired pneumonia who were in the acute phase of the disease. Results: a new approach analysis of these data revealed the presence of characteristic groups of the biomarkers, which consist from a combination of a small number of the signs that are necessary and sufficient in the aggregate for accurate classification of diagnoses for patients. Conclusions: the presence of these symptoms characteristic series shows that we have discovered a new class of phenomena. These phenomena manifest themselves in the hidden relationships between the signs which included in these groups and are reflect features of the flow processes in the pathogenesis of inflammatory diseases of the lungs in different diagnostic areas. Their study can be an important and interesting in terms of understanding the many aspects of this disease. Российский национальный исследовательский медицинский университет им. Н.И. Пирогова, Москва, Российская Федерация Новый класс явлений, обнаруживаемый при нейросетевом анализе многопризнаковых данных у больных с воспалительными заболеваниями легких Цель исследования: применить нейросетевой метод анализа многопризнаковых данных у больных с воспалительными заболеваниями легких для распознавания вариабельности их диагнозов с учетом степени тяжести течения болезни и расширения аналитических возможностей этого метода путем использования нетрадиционных методических подходов. Подходы основаны на последовательном вычленении из всего набора признаков тех из них, которые оказываются относительно наименее диагностически значимыми. Материалы и методы: в исследовании использованы многопризнаковые данные пациентов, полученные в ходе клинического исследования анамнестических, клинических, лабораторных и инструментальных данных 60 пациентов в возрасте старше 65 лет на разных этапах лечения внебольничной пневмонии. Для нейросетевого анализа учитывали антропометрические, иммунологические и иммунохимические показатели сыворотки крови больных внебольничной пневмонией, находившихся в остром периоде заболевания. Результаты: установлены скрытые закономерные связи между определенными признаками, которые образуют специфические характеристические ряды, свойственные инфекционно-воспалительным бронхолегочным заболеваниям. Эти ряды состоят из сочетания небольшого числа признаков, необходимых и достаточных в своей совокупности для безошибочного подтверждения...
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