52 research outputs found
The multifaceted erdostein: facts on the desk. A review
Erdostein is a mucoactive agent belonging to the group of thiol drugs with antioxidant, anti-inflammatory and antibacterial activity against a number of major respiratory pathogens. After transformation in the liver, erdostein is metabolized to a compound with an open ring M1 (MET-1) having unique properties. In the RESTORE study (2022), it was confirmed that erdostein significantly reduces the risks of severe exacerbations in patients with chronic obstructive pulmonary disease (COPD), reduces their duration, and reduces the number of hospitalizations with acute respiratory failure (ARF). The unique preventive properties of erdostein do not depend on the administration of inhaled (ICS) or systemic (SCS) corticosteroids to COPD patients, as well as on the level of eosinophilia in the blood. The results obtained contrast with the available therapy strategy, where thiol mucolytics are indicated in patients who do not use ICS-therapy and/or SCS-therapy. Moreover, this confirms the assumption about the use of erdostein in COPD patients as a drug for the phased withdrawal of ICS-therapy
Prognostic Value of Radiological and Laboratory Biomarkers for Assessing Risk of Adverse Outcome in Patients with COVID-19
Objective: to study associations between laboratory and radiological biomarkers of COVID-19, to develop prognostic model of deterioration and lethal outcome in a patient with COVID-19.Material and methods. The study included 162 patients with COVID-19 stratified according to the presence or absence of deterioration during hospitalization. We evaluated chest computed tomography (CT) data, assessed empirically and using a semi-quantitative scale, blood cell counts and parameters of biochemical blood test. The predictive model was built using gradient boosting and artificial neural network with sigmoid activation function.Results. Both CT signs (crazy-paving pattern, bronchial dilatation inside a lesion, peripheral distribution of symptoms, absence of a predominant distribution pattern, lesion grade and extent), and most of laboratory markers were associated with deterioration and its criteria. The CT severity index correlated positively with the levels of leukocytes, neutrophils, urea, aspartate aminotransferase, lactate dehydrogenase, creatine phosphokinase, glucose, C-reactive protein, and negatively with the concentrations of albumin, calcium and the number of lymphocytes. Based on the results of the selection and training of classifying models, the optimal method for stratifying patients with COVID-19 on the basis of deterioration during hospitalization, the need for transfer to the intensive care unit, mechanical ventilation, and adverse outcome was gradient boosting.Conclusion. The prognostic model obtained in our study, based on a combination of radiological and laboratory parameters, makes it possible to predict the nature of COVID-19 course with high reliability
Π‘ΠΠ‘Π’ΠΠ Π‘ΠΠΠΠ©ΠΠ‘Π’ΠΠ ΠΠΠΠ ΠΠΠ ΠΠΠΠΠΠΠΠ Π ΠΠ«Π₯ΠΠ’ΠΠΠ¬ΠΠ«Π₯ ΠΠ£Π’Π―Π₯ Π£ ΠΠΠΠ ΠΠΠ«Π₯ ΠΠΠ¦ Π ΠΠΠΠ¬ΠΠ«Π₯ ΠΠ ΠΠΠ₯ΠΠΠΠ¬ΠΠΠ ΠΠ‘Π’ΠΠΠ
This review summarizes the results of studies on the composition of microbial communities in the airways of healthy individuals and patients with asthma. Modern molecular genetic technology of the microbial identification, which are based on a sequence determination of encoding proteins genes conserved regions. These regions form the 16s-subunit ribosomal RNA in microorganisms of different species. These genes are detected by sequencing markers characteristic of individual microorganisms and their phylogenetic groups, and allow to perform a deep analysis of the microbiota in healthy volunteers and patients with chronic bronchoobstructive diseases. So, apparently healthy human bronchial tree is characterized by low bacterial contamination (most typical representatives here are the genera Pseudomonas, Streptococcus, Prevotella, Fusobacteria and Veilonella, much less potentially pathogenic Haemophilus and Neisseria are represented). In bronchial asthma patients the lower respiratory tract microbiota undergoes a qualitative transformation: as compared to healthy individuals the number of Proteobacteria increases and the number of Bacteroidetes decreases. Severe asthma in children is associated with significant respiratory tract Staphylococcus spp. insemination. Association between the asthma developing higher risk in young children and organisms such as Haemophilus, Moraxella and Neisseria spp. It is of considerable interest to determine the role of the microbiome in the development of human diseases of the bronchopulmonary system, and to understand the impact of the microbes communities as a course of disease and the important factor for the development of resistance to therapy.Π ΠΎΠ±Π·ΠΎΡΠ΅ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΡΠΎΡΡΠ°Π²Π° ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²Π° ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π² Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΡΡ
Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π»ΠΈΡ ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π±ΡΠΎΠ½Ρ
ΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π°ΡΡΠΌΠΎΠΉ. Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π½Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠ²Π½ΡΡ
ΡΡΠ°ΡΡΠΊΠΎΠ² Π³Π΅Π½ΠΎΠ², ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΡ
Π±Π΅Π»ΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΎΡΠΌΠΈΡΡΡΡ 16s-ΡΡΠ±ΡΠ΅Π΄ΠΈΠ½ΠΈΡΡ ΡΠΈΠ±ΠΎΡΠΎΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΠ±ΠΎΠ½ΡΠΊΠ»Π΅ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ². ΠΠ°Π½Π½ΡΠ΅ Π³Π΅Π½Ρ ΠΈΠΌΠ΅ΡΡ Π²ΡΡΠ²Π»ΡΠ΅ΠΌΡΠ΅ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ°ΡΠΊΠ΅ΡΡ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠ΅ Π΄Π»Ρ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΈ ΠΈΡ
ΡΠΈΠ»ΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π³ΡΡΠΏΠΏ, ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ Π²ΡΠΏΠΎΠ»Π½ΠΈΡΡ Π³Π»ΡΠ±ΠΎΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠΌΠ° ΠΊΠ°ΠΊ Ρ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π΄ΠΎΠ±ΡΠΎΠ²ΠΎΠ»ΡΡΠ΅Π², ΡΠ°ΠΊ ΠΈ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π±ΡΠΎΠ½Ρ
ΠΎΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ. Π’Π°ΠΊ, Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π΄ΠΎΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π±ΡΠΎΠ½Ρ
ΠΈΠ°Π»ΡΠ½ΠΎΠ΅ Π΄Π΅ΡΠ΅Π²ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ Π½ΠΈΠ·ΠΊΠΎΠΉ Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡΡΡ (Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΈΠΏΠΈΡΠ½ΡΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»ΠΈ ΡΠΎΠ΄ΠΎΠ² Pseudomonas, Streptococcus, Prevotella, Fusobacteria ΠΈ Veilonella, Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠ΅ΠΆΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠ΅ Haemophilus ΠΈ Neisseria). Π£ Π±ΠΎΠ»ΡΠ½ΡΡ
Π±ΡΠΎΠ½-Ρ
ΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π°ΡΡΠΌΠΎΠΉ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΡΠ° Π½ΠΈΠΆΠ½ΠΈΡ
Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π°Π΅ΡΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ: ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π΄ΠΈ-Π²ΠΈΠ΄ΡΡΠΌΠ°ΠΌΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Proteobacteria ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ, Π° Bacteroidetes β ΡΠΌΠ΅Π½ΡΡΠ°Π΅ΡΡΡ. Π’ΡΠΆΠ΅Π»Π°Ρ Π±ΡΠΎΠ½Ρ
ΠΈΠ°Π»ΡΠ½Π°Ρ Π°ΡΡΠΌΠ° Ρ Π΄Π΅ΡΠ΅ΠΉ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π° ΡΠΎ Π·Π½Π°ΡΠΈΠΌΠΎΠΉ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡΡΡ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ Staphylococcus spp. Π’Π°ΠΊΠΆΠ΅ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π° Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°ΡΡ-ΠΌΡ Ρ Π΄Π΅ΡΠ΅ΠΉ ΡΠ°Π½Π½Π΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΠΈ ΡΠ°ΠΊΠΈΠΌΠΈ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ°ΠΌΠΈ, ΠΊΠ°ΠΊ Haemophilus, Moraxella ΠΈ Neisseria spp. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ ΠΊΠ°ΠΊ Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΎΠ»ΠΈ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠΌΠ° Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π±ΡΠΎΠ½Ρ
ΠΎΠ»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ² Π½Π° ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ.
Π‘ΠΠ£Π§ΠΠ ΠΠΠ‘Π’ΠΠΠ¦ΠΠ’ΠΠΠ Π£ ΠΠΠ¦ΠΠΠΠ’Π Π‘ ΠΠΠΠΠΠ ΠΠΠΠΠ ΠΠ Π’Π£ΠΠΠ ΠΠ£ΠΠΠ ΠΠΠΠΠΠ₯
The article describes the clinical case of Langerhans cell histiocytosis with lesions in lungs and flat bones in a 40-year-old smoker. During 4 years, all stages of the disease were followed. The diagnosis was made basing on the results of thoracoscopic lung biopsy. Treatment with a cytostatic drug and smoking cessation resulted in positiveΒ X-ray changes.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠ»ΡΡΠ°ΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Π»Π°Π½Π³Π΅ΡΠ³Π°Π½ΡΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ Π³ΠΈΡΡΠΈΠΎΡΠΈΡΠΎΠ·ΠΎΠΌ Ρ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΠΏΠ»ΠΎΡΠΊΠΈΡ
ΠΊΠΎΡΡΠ΅ΠΉ Ρ ΠΌΡΠΆΡΠΈΠ½Ρ 40 Π»Π΅Ρ, ΠΊΡΡΠΈΠ»ΡΡΠΈΠΊΠ°. ΠΡΠΎΡΠ»Π΅ΠΆΠ΅Π½Ρ Π²ΡΠ΅ ΡΠ°Π·Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ 4 Π»Π΅Ρ. ΠΠΈΠ°Π³Π½ΠΎΠ· ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΡΠΎΡΠ°ΠΊΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΈΠΎΠΏΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
. ΠΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΎΡΡΠ°ΡΠΈΠΊΠΎΠΌ Π½Π° ΡΠΎΠ½Π΅ ΠΎΡΠΊΠ°Π·Π° ΠΎΡ ΠΊΡΡΠ΅Π½ΠΈΡ Π΄Π°Π»ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΡΡΠ΅ΠΊΡ
Microbiological oropharyngeal patterns in patients with different phenotypes of chronic obstructive pulmonary disease
peer reviewedPersistent bronchial inflammation in chronic obstructive pulmonary disease (COPD) is considered the cause of ventilation disorders and related contamination with conditionally pathogenic microorganisms; the latter can proceed and transform into a full infection, which can aggravate and exacerbate COPD. The aim of the study was to evaluate the relations between the oropharyngeal microbiota in patients with COPD and the clinical, functional, and prognostic parameters of the disease. Materials and Methods. 64 patients with COPD were included in the study; the participants were scheduled to visit our clinic on two occasions. In the first visit, their medical history was studied in detail and the major examination procedures were conducted. Those included an assessment of the respiratory function, the 6-minute walk test, the degree of dyspnea by the Medical Research Council scale, body plethysmography, the diffusion capacity of the lungs, and a chest CT scan. The second visit took place 12 months after the first one to assess the changes in the course of the disease. The result was considered negative if, in the second examination, the patientβs condition was found more severe. Oropharyngeal samples of all patients were sequenced to identify the V3βV4 variable sites of the 16S rRNA gene. Results. It is found that the microbiological oropharyngeal patterns in COPD patients depend on the source of micro-aspiration. In addition, the changes in the oropharyngeal microbiota correlate with the severity and prognosis of the disease, as well as the patient phenotype. Based on the data obtained by sequencing parts of the 16S rRNA gene, the role of oropharyngeal microbiota in determining the course and prognosis of COPD has been elucidated. Conclusion. The presented clinical and functional characteristics associated with oropharyngeal microbiota indicate that microaspirations from other body compartments not only affect the composition of oropharyngeal microbiota in patients with COPD but also have an important prognostic significance. Β© 2018, Nizhny Novgorod State Medical Academy. All rights reserved
Π‘ΠΈΠ½Π΄ΡΠΎΠΌ ΡΠΏΠ»ΠΎΡΠ½Π΅Π½ΠΈΡ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎ-ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ Π² ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠΈΡΡΠ°: ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·, Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅, Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΠ·
Chest computed tomography (CT) helps better understanding clinical and pathological features of respiratory diseases. However, interpretation of CT images is difficult without information on clinical course of the disease in the given patient. Therefore, the definite diagnosis could be reached through cooperation of a clinician and a radiologist. This publication presents a lecture aimed at improving a physician's knowledge on interpretation of lung computed tomography (CT) patterns including imaging, structure and extension of abnormal signs. This information is believed to help the clinician to diagnose and differentiate pulmonary diseases based both on CT syndromes and clinical signs. A particular attention is paid on lung tissue attenuation pattern as the most common chest CT abnormality that includes five key entities, such as ground glass opacity, mosaic attenuation, consolidation, atelectasis, and soft-tissue mass.ΠΠ°Π½Π½ΡΠ΅ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ (ΠΠ’) ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ ΠΏΠΎΠΌΠΎΠ³Π°ΡΡ Π»ΡΡΡΠ΅ ΠΏΠΎΠ½ΡΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π±ΡΠΎΠ½Ρ
ΠΎΠ»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΠ΄Π½Π°ΠΊΠΎ ΠΠ’-ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΡΠ°ΡΡΠΎ Π±ΡΠ²Π°Π΅Ρ ΡΠ»ΠΎΠΆΠ½ΠΎ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ Π±Π΅Π· Π·Π½Π°Π½ΠΈΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, ΠΏΠΎΡΡΠΎΠΌΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΡ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΡ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΌΠΎΠΆΠ΅Ρ ΡΠΎΠ»ΡΠΊΠΎ ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½Π°Ρ ΡΠ°Π±ΠΎΡΠ° Π²ΡΠ°ΡΠ° Π»ΡΡΠ΅Π²ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠΈΡΡΠ°. Π¦Π΅Π»Ρ Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ Π»Π΅ΠΊΡΠΈΠΈ β Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΎΠΊΠ°Π·Π°ΡΡ ΠΏΠΎΠΌΠΎΡΡ Π²ΡΠ°ΡΡ ΠΏΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΈ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠΈ ΠΠ’-ΠΊΠ°ΡΡΠΈΠ½Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ β Π²Π½Π΅ΡΠ½Π΅Π³ΠΎ Π²ΠΈΠ΄Π°, ΡΡΡΡΠΊΡΡΡΡ ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°, Π½ΠΎ ΠΈ Π½Π°ΡΡΠΈΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠΈΡΡΠ° ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ ΠΠ’-ΡΠΈΠ½Π΄ΡΠΎΠΌΡ Π΄Π»Ρ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈ ΡΡΠΆΠ΅Π½ΠΈΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ΄Π°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ ΠΏΡΠΈ ΡΡΠΎΠΌ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅, Π΄Π°Π½Π½ΠΎΠ΅ Π²ΡΠ°ΡΠΎΠΌ Π»ΡΡΠ΅Π²ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°ΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°ΡΡΠΈΠ½Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ. Π ΡΠ°ΠΌΠΊΠ°Ρ
Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ Π»Π΅ΠΊΡΠΈΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΡΠ°Π·Π±ΠΎΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΈ ΠΏΡΠΈΡΠΈΠ½ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ’-ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° ΠΏΠΎΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ·ΡΠ°ΡΠ½ΠΎΡΡΠΈ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΊΠ°ΠΊ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΠΎ Π²ΡΡΡΠ΅ΡΠ°ΡΡΠ΅Π³ΠΎΡΡ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ°, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ΅Π³ΠΎ 5 ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΈΠΏΠΎΠ²: ΡΠΈΠ½Π΄ΡΠΎΠΌ Β«ΠΌΠ°ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠ΅ΠΊΠ»Π°Β»; ΡΠΈΠ½Π΄ΡΠΎΠΌ ΠΌΠΎΠ·Π°ΠΈΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΡΠ·ΠΈΠΈ, ΠΈΠ»ΠΈ Π»ΠΎΠΆΠ½ΠΎΠ³ΠΎ Β«ΠΌΠ°ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠ΅ΠΊΠ»Π°Β»; ΡΠΈΠ½Π΄ΡΠΎΠΌ ΡΠΏΠ»ΠΎΡΠ½Π΅Π½ΠΈΡ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ (ΠΊΠΎΠ½ΡΠΎΠ»ΠΈΠ΄Π°ΡΠΈΠΈ); Π°ΡΠ΅Π»Π΅ΠΊΡΠ°Π· ΠΈ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΊΠ°Π½ΡΠΌΠΈ (ΠΎΠ±ΡΠ΅ΠΌΠ½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ). Π‘ΠΈΠ½Π΄ΡΠΎΠΌΡ Β«ΠΌΠ°ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠ΅ΠΊΠ»Π°Β» Π±ΡΠ΄Π΅Ρ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΎΡΠ΄Π΅Π»ΡΠ½Π°Ρ Π»Π΅ΠΊΡΠΈΡ, Π² Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ 3 ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° ΠΈΠ· ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΠΠΎΠ·Π΄ΡΡΠ½ΡΠ΅ ΠΊΠΈΡΡΡ ΠΈ ΠΊΠΈΡΡΠΎΠΏΠΎΠ΄ΠΎΠ±Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ
Computed tomography (CT) of chest organs is one of the most accurate diagnostic methods allowing the physician to assess the condition of lung parenchyma. Correct interpretation of CT results requires the clinician to recognize normal appearance of lung parenchyma on X-ray and know changes visualized in various bronchopulmonary diseases. It is important that the physician knows and understands underlying cause of a particular radiological pattern in order to discuss with the radiologist lung tissue changes that have been identified considering clinical symptoms. Descriptions of radiological patterns and discussion of corresponding typical clinical observations are presented in the article devoted to air cyst syndrome and cystoid changes in the lung tissue.ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΡ (ΠΠ’) ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠΌΠΎΠ³Π°Π΅Ρ Π²ΡΠ°ΡΡ ΠΎΡΠ΅Π½ΠΈΡΡ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ Π»Π΅Π³ΠΊΠΈΡ
. ΠΡΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΠΠ’ ΡΡΠ΅Π±ΡΠ΅ΡΡΡ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠΈΡΡΠΎΠΌ ΡΠΎΠ³ΠΎ, ΠΊΠ°ΠΊ Π½Π° ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ³ΡΠ°ΠΌΠΌΠ°Ρ
Π²ΡΠ³Π»ΡΠ΄ΠΈΡ Π½ΠΎΡΠΌΠ°Π»ΡΠ½Π°Ρ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΠ° Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΠΊΠ°ΠΊΠΈΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π±ΡΠΎΠ½Ρ
ΠΎΠ»Π΅Π³ΠΎΡΠ½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΡ
. ΠΠ»Ρ ΡΠΎΠ³ΠΎ ΡΡΠΎΠ±Ρ ΠΎΠ±ΡΡΠΆΠ΄Π°ΡΡ Ρ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΎΠΌ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ Π² Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ², Π²Π°ΠΆΠ½ΠΎ, ΡΡΠΎΠ±Ρ Π²ΡΠ°Ρ Π·Π½Π°Π» ΠΈ ΠΏΠΎΠ½ΠΈΠΌΠ°Π» ΠΏΡΠΈΡΠΈΠ½Ρ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΡΠΎΠΉ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠΉ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°ΡΡΠΈΠ½Ρ. Π ΡΡΠ°ΡΡΠ΅, ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΠΎΠΉ ΡΠΈΠ½Π΄ΡΠΎΠΌΡ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΠΊΠΈΡΡ ΠΈ ΠΊΠΈΡΡΠΎΠΏΠΎΠ΄ΠΎΠ±Π½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΡΠ΅ΡΠ½ΠΎΠ² ΠΈ ΡΠ°Π·Π±ΠΎΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΠΈΠΏΠΈΡΠ½ΡΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠΉ
ΠΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Ρ ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ Π»Π΅Π³ΠΊΠΈΡ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ
Background: Chronic obstructive pulmonary disease (COPD) is characterized by progressive limitation of airflow rate, hyperergic inflammatory response of the respiratory tract, and systemic manifestations. Prognosis of the disease depends on the severity of these pathogenetic components. FEV1 which characterizes the speed limit airflow do not allow predicting the rate of COPD progression. Aims: comparison of the prognostic significance of such clinical parameters as frequency of exacerbations and the development of comorbid diseases to assess the nature of COPD progression by using different classification approaches. Materials and methods: The prospective comparative study included 98 patients with COPD. In the framework of the study protocol, 2 visits were required when a practitioner recruited patients who met inclusion/exclusion criteria, obtained the signed informed consent, collected the anamnestic data, and performed basic procedures of the study: spirometry, 6-minute stepper test, assessment of dyspnea on questionnaire mMRC, body plethysmography, lung diffusion capacity study, dopplerechocardiography, tomography of the chest. Visit 2 was conducted in 12 months after the first one to assess the dynamics of the disease. The dynamics of the disease was considered negative if, upon repeated examination, the patient was referred to the group with more severe COPD. Results: Our study demonstrates that comprehensive assessment of such factors as the frequency of COPD exacerbations in the preceding 12 months and the presence of comorbid diseases in a patient is reasonable for assessment of disease severity and determination of disease prognosis. At the same time the frequency of COPD exacerbations as one of the evaluated factors is most strongly associated with disease progression. Conclusions: Thus, a practitioner is recommended to use the proposed additional clinical criteria to assess the severity and degree of progression of COPD.ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅. Π₯ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ Π»Π΅Π³ΠΊΠΈΡ
(Π₯ΠΠΠ) β Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ Ρ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΡΡΡΠΈΠΌ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΡΠΎΡΡΠΈ Π²ΠΎΠ·Π΄ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠΊΠ°, Π³ΠΈΠΏΠ΅ΡΠ΅ΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΎΡΠ²Π΅ΡΠΎΠΌ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌΠΈ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡΠΌΠΈ. ΠΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΡΠΈΡ
ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² Π·Π°Π²ΠΈΡΠΈΡ ΠΏΡΠΎΠ³Π½ΠΎΠ· ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΡΠΎΡΡΠΈ Π²ΠΎΠ·Π΄ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠΊΠ° (ΠΎΠ±ΡΠ΅ΠΌ ΡΠΎΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π²ΡΠ΄ΠΎΡ
Π° Π·Π° ΠΏΠ΅ΡΠ²ΡΡ ΡΠ΅ΠΊΡΠ½Π΄Ρ) Π½Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡΡ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°ΡΡ ΡΠΊΠΎΡΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π₯ΠΠΠ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΡΠ°ΠΊΠΈΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΊΠ°ΠΊ ΡΠ°ΡΡΠΎΡΠ° ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠΉ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π₯ΠΠΠ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ².ΠΠ΅ΡΠΎΠ΄Ρ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Π° Π² ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ 98 Π±ΠΎΠ»ΡΠ½ΡΡ
Π₯ΠΠΠ. Π ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Π° ΠΏΡΠ΅Π΄ΡΡΠΌΠΎΡΡΠ΅Π½ΠΎ 2 Π²ΠΈΠ·ΠΈΡΠ°, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΡ
ΠΎΡΠ΅Π½ΠΊΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ/ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡ, ΠΏΠΎΠ΄ΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠ³Π»Π°ΡΠΈΡ, ΡΠ±ΠΎΡ Π°Π½Π°ΠΌΠ½Π΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΡΠΎΡΠ΅Π΄ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ (ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΠ½ΠΊΡΠΈΠΈ Π²Π½Π΅ΡΠ½Π΅Π³ΠΎ Π΄ΡΡ
Π°Π½ΠΈΡ, 6-ΠΌΠΈΠ½ΡΡΠ½ΡΠΉ ΡΠ°Π³ΠΎΠ²ΡΠΉ ΡΠ΅ΡΡ, ΠΎΡΠ΅Π½ΠΊΠ° ΠΎΠ΄ΡΡΠΊΠΈ ΠΏΠΎ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΡ mMRC, Π±ΠΎΠ΄ΠΈΠΏΠ»Π΅ΡΠΈΠ·ΠΌΠΎΠ³ΡΠ°ΡΠΈΡ, ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΡΡΡΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ Π»Π΅Π³ΠΊΠΈΡ
, Π΄ΠΎΠΏΠΏΠ»Π΅ΡΡΡ
ΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΠΈΡ, ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΡ ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ). ΠΡΠΎΡΠΎΠΉ Π²ΠΈΠ·ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΡΠ΅ΡΠ΅Π· 12 ΠΌΠ΅Ρ ΠΏΠΎΡΠ»Π΅ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ Ρ ΡΠ΅Π»ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΡΠΈΡΠ°Π»Π°ΡΡ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ, Π΅ΡΠ»ΠΈ ΠΏΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ²ΠΈΠΈ ΠΎΠ΄Π½ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄ΠΈΠ»ΠΈ Π² Π³ΡΡΠΏΠΏΡ Π₯ΠΠΠ Ρ Π±ΠΎΠ»Π΅Π΅ ΡΡΠΆΠ΅Π»ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ. ΠΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΡΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ ΡΡΠΈΡΠ°Π»ΠΈΡΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° ΠΌΠ΅Π½Π΅Π΅ 21, Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΡΡΠ΅ΠΎΠΏΠΎΡΠΎΠ·Π°, Π°Π½Π΅ΠΌΠΈΠΈ, ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, ΡΠ·Π²Π΅Π½Π½ΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΆΠ΅Π»ΡΠ΄ΠΊΠ°, ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ° 2-Π³ΠΎ ΡΠΈΠΏΠ°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ Π½Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΠ΅Ρ ΠΎ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ°ΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΊΠ°ΠΊ ΡΠ°ΡΡΠΎΡΠ° ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠΉ Π₯ΠΠΠ Π·Π° ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ 12 ΠΌΠ΅Ρ ΠΈ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Ρ Π±ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΠ΅ΠΊΡΡΠ΅ΠΉ ΡΡΠΆΠ΅ΡΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π΅Π³ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π°. ΠΡΠΈ ΡΡΠΎΠΌ ΡΠ°ΡΡΠΎΡΠ° ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠΉ Π₯ΠΠΠ ΡΡΠ΅Π΄ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΠΌΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΈΠ»ΡΠ½ΠΎ ΡΠ²ΡΠ·Π°Π½Π° Ρ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ Π²ΡΠ°ΡΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π΄Π»Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΆΠ΅ΡΡΠΈ ΠΈ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π₯ΠΠΠ
DIFFICULTY OF COPD PREDICTING AS A CHALLENGE TO MODERN CLINICAL PULMONOLOGY
In recent years, medical community has come to the conclusion that the currently used prognostic criteria of the course of COPD, do not allow to predict the further development of the disease, its complications and outcomes with high accuracy. The most popular predictor in clinical practice remains the determination of the level of FEV1. However, the need to expand the list of criteria for determination of a more precise prognosis and clinical outcome of the disease is obvious. The main task of modern pulmonology is the search for prognostic markers of several complex parameters, capable of ensuring the timely prognosis and choice of adequate therapy. The presence of comorbid diseases and high frequency of exacerbations in COPD patients should be treated as such markers
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