At the time of discharge from the hospital, the amount of plasma C-reactive protein in customers associated with main team was substantially lower than in patients of this comparison team. Conclusion the usage titanium thread mesh implants within the remedy for postoperative ventral hernias is followed by a less inflammatory reaction of this human anatomy into the implant and will not result in an increase in the frequency of postoperative complications.Objective to evaluate the influence of medical sanation of clients with destructive tuberculosis on the prevalence of tuberculosis and death of those clients. Material and methods Treatment technique for destructive pulmonary tuberculosis de novo was created into the Sechenov First Moscow State health University. This tactic was used during the Surgical Department for the local Tambov Tuberculosis Dispensary in 2013-2017. We formed a register of customers with pulmonary destruction and bacterial excretion and created an individual treatment plan. All patients were divided into 3 teams (group A – medical procedures, team B – no surgery due to refusal or discontinuation of therapy, team C – customers with contraindications or no indications for medical procedures). Outcomes Treatment efficacy thinking about closing of destruction cavities and abacillation ended up being maximum in group A – 97.2%, 41.4% in group B and 39.8% in group C. the sheer number of clients with pulmonary destruction and bacterial removal features diminished by 3.3 times (from 516 to 158) or 69.8% for 4 many years of extensive application of surgical procedure protocol. A substantial reduced amount of ‘bacillary core’ interrupted disease sequence and affected the primary epidemiological qualities. Temporary decrease in the occurrence of tuberculosis is expected. However, much more significant influence with this factor should be expected in the lasting period. Summary surgical procedure of destructive pulmonary tuberculosis gets better effectiveness for the management of these patients and reduces mortality rate.Objective To evaluate an effectiveness of endobronchial device remedy for patients with bronchopleural fistulas and prolonged atmosphere leakage. Information and methods Endobronchial device treatment was examined in 115 patients with bronchopleural fistulas or postoperative air leakage. All customers were split into 5 groups according to infection bullous emphysema, acute purulent lung conditions, chronic purulent lung and pleural conditions, bullous emphysema complicated by pneumothorax with failed pleural cavity, other lung conditions associated with prolonged postoperative air leakage. Results Endobronchial valve treatment had been effective much more than 70% patients. There have been no intraoperative and postoperative problems. Conclusion Endobronchial valve treatment solutions are an extremely effective minimally invasive means for dealing with clients with bronchopleural fistulas and postoperative air leakage.Objective To estimate the likelihood of diagnosis of malignant pleural effusion utilizing convolutional neural systems of facies photos of pleural exudates acquired by the technique of wedge-shaped dehydration. Material and methods We learned 163 photos of pleural liquid facies acquired by wedge-shaped dehydration in clients with various pleural effusions (10 nosological groups). Recognition and evaluation were done using convolutional neural community. The photos had been divided into two teams – cancerous effusion (n=65; 40%) and other conditions (n=98; 60%). Results There were 131 photos selected for further research after pre-processing of images by reducing defective ones, turning them into grayscale structure, cleansing of ‘noise’, cutting out the facies. Then the pictures had been standardized. The method of rigid changes with rotation for each 10 levels was made use of. As a result, their particular quantity increased up to 4,585. Self-taught neural system analyzed the pictures of facies individually by split associated with fragments comprising black-and-white dots and comparison of these with each other. Self-teaching and training of each neural system Tunicamycin ic50 were ensured by random sampling of 80% of photos through the preliminary test. Then staying 20% for the images were used as a control test to assess the possibilities of recognition pleural effusion cause. Four choices of convolutional neural sites were utilized. An accuracy of cancer detection ranged from 82% to 95.6%, benign conditions – from 84% to 94.7%. The neural network utilizing the highest susceptibility had been opted for. Conclusion Automated picture analysis system of pleural effusion facies using convolutional neural network ensured an accuracy of diagnosis of cancerous pleural effusion in 95,6% of situations along with other diseases in 90per cent of instances. The technique is not difficult, efficient, low priced and reagentless.Objective to guage bacterial flora in patients with deep sternal wound illness plus the effect of unfavorable pressure wound treatment on eradication regarding the pathogen. Material and methods there have been 102 patients with deep injury disease after cardiac surgery. Mean age ended up being 66.9±9.9 years. Diabetes mellitus was recognized in 21 (20.5percent) cases, chronic obstructive pulmonary disease – in 15 (14.7%). Wound debridement via everyday dressings was carried out in 64 patients; vacuum-assisted dressings had been applied in 38 patients.