Publications by authors named "K V Lipatov"
Background: Necrotizing fasciitis (NF) of the upper extremities is a severe surgical pathology, and the incidence of this disease has been steadily increasing in recent decades. Surgical treatment is accompanied by the formation of extensive wounds, which can be treated with significant difficulties. In recent years, negative pressure wound therapy (NPWT) has proven to be highly effective.
View Article and Find Full Text PDFBackground: Despite the fact that the COVID-19 epidemic has already ended, there is no clear answer to the question - what is the nature of the imbalance in the hemocoagulation system, and which phenomena prevail - thrombosis or hemorrhage? More and more new works appear describing the occurrence of deep, extensive hematomas in patients with COVID-19. However, this experience requires further discussion and understanding.
Case Description: From October 2020 to January 2021, 7 (2,1% among all hospitalized with COVID-19 in this period) patients with developed hematomas were observed at the COVID-19 hospital.
Objective: This study aims to design, validate and assess the accuracy a deep learning model capable of differentiation Chest X-Rays between pneumonia, acute respiratory distress syndrome (ARDS) and normal lungs.
Materials And Methods: A diagnostic performance study was conducted using Chest X-Ray images from adult patients admitted to a medical intensive care unit between January 2003 and November 2014. X-ray images from 15,899 patients were assigned one of three prespecified categories: "ARDS", "Pneumonia", or "Normal".
Article Synopsis
- Pulmonary auscultation is important for detecting lung issues, but its effectiveness can vary based on the person performing it; machine learning (ML) models can automate the classification of lung sounds as a potential solution.
- This systematic review analyzed 62 studies from 1990 to 2022, examining the accuracy and data sources of existing ML models used for lung sound classification, with results showing varied accuracy rates.
- Despite the promise of ML in classifying lung sounds using public databases, many studies had a high risk of bias, highlighting the need for standardized methods in data collection and reporting to improve reliability.
[Bacteriophages in complex treatment of septic diseases of the hand].
Khirurgiia (Mosk)
September 2023
Objective: To evaluate the effectiveness of bacteriophages in complex surgical treatment of septic diseases of the hand.
Material And Methods: We analyzed treatment outcomes in 111 patients with septic diseases of the hand (septic arthritis, tendovaginitis, phlegmon). Surgical treatment was finished by primary sutures and drainage.