Pathophysiological mechanisms of chronic critical conditions in patients in the neuroresuscitation department

Purpose of the work. To determine the existing pathophysiological mechanisms in patients with critical conditions and, in particular, in patients with stroke during the period of chronicization of processes on the part of the respiratory tract and aspects of the work of doctors - endoscopists, as part of the multidisciplinary team involved in the treatment of this group of patients. Materials and methods. In accordance with the set goal, an analysis of the world literature was performed using the TripDataBase search system, which allowed to study and structure the main pathophysiological mechanisms observed in patients with “chronic critical conditions”. The obtained data were implemented in the work of the endoscopic department of the Federal State Budgetary Institution Federal Center for Medical and Biological Affairs of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing of the Russian Federation. Results. According to the analysis of the world literature, the most important factors in patients with chronic critical conditions who are in the departments of anesthesiology and resuscitation are respiratory distress syndrome and comorbidity. According to the results of practical work, the features of the endoscopic picture in this group of patients, based on our endoscopic observations, were as follows: erosive and ulcerative changes in the mucous membrane and tracheobronchial dyskinesia of stage II. As a result of the study, an endoscopic algorithm for managing this group of patients was presented, which demonstrated its clinical effectiveness and the results of its application will be presented in the following publications Conclusion. Rehabilitation for stroke during the period of chronicization of processes is carried out by a multidisciplinary team, in which the role of endoscopic methods of treatment has been proven by the clinical experience of using the developed algorithm.