66 research outputs found
COMPUTER ANALYSIS OF THE UNDERLYING EQUILIBRIUM MODELS WITH PUBLIC GOOD
This article discusses an option of the mathematical model of economic situations with public goods consumed by several market participants simultaneously. Computer analysis of this model was performed by using the MATHCAD package which allows toillustrate some techniques of determining of market balance. It was assumed that the participants, considering the choice of the other is equal to their previous decision, comes to the agreed result in finish
Risk factors for anemia in newborns
The objective was to assess clinical and anamnestic indicators and characteristics of blood erythrocytes in newborns according to the severity of anemia. Materials and methods: we examined the 65 case records of newborns with anemia who received medical treatment in pathology department of Rostov Research Institute of Obstetrics and Pediatrics from November, 2015 to March, 2016. All newborns were divided into 3 groups depending on the severity of anemia: I group included 40 newborns with mild case of anemia, II group β 8 infants with medium-heavy anemia, III group β 17 newborns with heavy extent of disease. Results. The most common risk factors of severe anemia on the distaff side are obesity (35.3%), anemia (100%), threatened miscarriage (65,%), cytomegalovirus infection (41%), gestational diabetes (or 41.2%). Conclusion: The risk factors of anemia in newborns are unfavorable for the antenatal period complicated by anemia, threatened miscarriage, gestational diabetes mellitus, cytomegalovirus infection, presence of respiratory distress syndrome, cerebral ischemia II degree in combination with hemolytic disease of the newborn
Climate changes in East Siberia (Russia) in the Holocene based on diatom, chironomid and pollen records from the sediments of Lake Kotokel
We analysed a 620-cm-long sediment record from Lake Kotokel located in East Siberia (Russia) for subfossil diatoms, chironomids and pollen to provide a reconstruction of the climate history of the area for the last 12. 2 kyr. The subfossil records show differing time lags in their responses to climate change; diatoms and chironomids were more sensitive to climate change than the pollen record. Changes in the biogenic proxies seem related with changes in insolation, the temperature of the North Atlantic and solar activity. The chironomids Chironomus plumosus-type and Einfeldia carbonaria-type and the diatom Aulacoseira granulata were interpreted as markers of warm climate condition. The proxy records were divided into four periods (A, B, C and D) suggesting differing climate in East Siberia during the Holocene. Period D (12. 2-9. 5 kyr BP) at the beginning of the Holocene, according to chironomid and diatom records, was characterized by warm climate with summer temperatures close to modern. However, forest vegetation had not become fully established yet. During Period C (9. 5-5. 8 kyr BP), the climate seemed to gradually become colder and wetter from the beginning of Period C to 7 kyr BP. From 7 to 5. 8 kyr BP, the climate seemed to remain cold, but aridity increased. Period B (5. 8-1. 7 kyr BP) was characterised by frequent and sharp alternations between warm and cold conditions. Unstable conditions during this time are also registered in records from Lakes Baikal, Khubsugul and various other shallow lakes of the region. Optimal warm and wet conditions seemed to occur ca. 4 kyr BP. During Period A (the last 1. 5 kyr) the diatom and chironomid records show evidence of cold conditions at 1. 5-1 kyr BP, but the forest vegetation did not change significantly. Β© 2012 Springer Science+Business Media B.V
A case of hyperplasia of the adrenal cortex in the newborn child
Clinical observation of a hyperplasia of the adrenal cortex in the newborn is presented. Main feature of this observation is the complicated course of this disease in the newborn against hypoxemic defeat of the central nervous system and neonatal jaundice. Now treatment of this congenital disease has to begin with the first week of life and includes complete hormonal and infusion therapy. In this observation childβs clinical improvement is noted
Radiomics in the Diagnosis of Thyroid Nodules
The thyroid nodules (TNs) are widespread throughout the world: according to the pathological studies, they can be found in 50β60% of adults. Currently, ultrasound, computed tomography, magnetic resonance imaging and radionuclide diagnostics, such as positron emission tomography with computed tomography, are usually used to diagnose TNs in clinic. These techniques are mainly used to diagnose the nodile benignity and malignancy, the degree of invasion into adjacent tissues and metastases to lymph nodes. Thanks to the development of artificial intelligence, machine learning and the improvement of medical imaging equipment, radiomics has become a popular area of research in recent years. It allowes to obtain various quantitative characteristics from medical images, highlighting invisible features and significantly expanding the possibilities of identifying and predicting. Radiomics has a high potential in detecting and predicting TNs. We present the information on the development and workflow of radiomics. The article summarizes the application of various imaging techniques to identify benign and malignant TNs, determine invasiveness and metastases to lymph nodes, as well as some new advances in the field of molecular level and deep learning. The disadvantages of radiomics method are also given as well as prospects for its further development
ΠΡΠΎ Π·Π°Ρ Π²ΠΎΡΡΠ²Π°Π½ΡΡΡΡ Π½Π° Π·Π»ΠΎΡΠΊΡΡΠ½Ρ Π½ΠΎΠ²ΠΎΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ ΡΠ΅Π»Π΅ΠΏΠ½ΠΎ-Π»ΠΈΡΠ΅Π²ΠΎΡ Π΄ΡΠ»ΡΠ½ΠΊΠΈ Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ ΠΠΎΠ»ΡΠ°Π²ΡΡΠΊΠΎΡ ΠΎΠ±Π»Π°ΡΡΡ
ΠΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ ΡΠΊΡΡΠ½ΠΎΡ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΈ ΡΠ° ΠΏΡΠΎΡΡΠ»Π°ΠΊΡΠΈΠΊΠ° Π·Π»ΠΎΡΠΊΡΡΠ½ΠΈΡ
Π½ΠΎΠ²ΠΎΡΡΠ²ΠΎΡΠ΅Π½Ρ Π½Π° ΡΡΠΎΠ³ΠΎΠ΄Π½Ρ Π·Π°Π»ΠΈΡΠ°ΡΡΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΈΠΌΠΈ Π² Π΄Π΅ΡΠΆΠ°Π²Ρ. Π¦Ρ Π³ΡΡΠΏΠ° Π·Π°Ρ
Π²ΠΎΡΡΠ²Π°Π½Ρ Π²ΠΏΡΠΎΠ΄ΠΎΠ²ΠΆ ΠΎΡΡΠ°Π½Π½ΡΡ
ΡΠΎΠΊΡΠ² ΡΡΡΠΉΠΊΠΎ Π·Π°ΠΉΠΌΠ°Ρ Π΄ΡΡΠ³Π΅ ΠΌΡΡΡΠ΅ Π² ΡΡΡΡΠΊΡΡΡΡ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ, Π½Π°ΡΠ°ΠΌΠΏΠ΅ΡΠ΅Π΄ ΠΏΡΠ°ΡΠ΅Π·Π΄Π°ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠΊΡ, ΠΏΠΎΡΡΡΠΏΠ°ΡΡΠΈΡΡ ΡΡΠ»ΡΠΊΠΈ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΡΡ ΡΠ΅ΡΡΠ΅Π²ΠΎ-ΡΡΠ΄ΠΈΠ½Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ.; ΠΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ ΠΈ ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΠΊΠ° Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΡΠ΅Π³ΠΎΠ΄Π½Ρ ΠΎΡΡΠ°ΡΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π² Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅. ΠΡΠ° Π³ΡΡΠΏΠΏΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
Π»Π΅Ρ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎ Π·Π°Π½ΠΈΠΌΠ°Π΅Ρ Π²ΡΠΎΡΠΎΠ΅ ΠΌΠ΅ΡΡΠΎ Π² ΡΡΡΡΠΊΡΡΡΠ΅ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ ΡΡΡΠ΄ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°, ΡΡΡΡΠΏΠ°Ρ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ.; The organization of high-quality oncological care and prevention of malignant neoplasms remains relevant in the country today. This group of diseases in recent years has consistently taken second place in the structure of mortality, especially working age, yielding only pathology of the cardiovascular system
ΠΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ G4-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ Π»Π΅Π³ΠΊΠΈΡ Ρ ΠΏΠΎΠ΄ΡΠΎΡΡΠΊΠ°
Immunoglobulin G4-related disease is a recently recognized systemic immune-mediated condition characterized by lymphoplasmacytic infiltrate in various organs with IgG4 positive plasma cells. Isolated lung involvement is rare, difficult to diagnose and can mimic primary lung malignancy on imaging. We report the case of an isolated IgG4-related interstitial lung disease in a 16-year-old asymptomatic male adolescent with incidentally found bilateral nodular lesions by chest radiograph. The patient underwent surgical interventions for assumption of malignancy. Serum IgG4 levels was normal. Πistological examination revealed significant lymphoplasmacytic infiltrate with lymphoid follicle formation, peribronchial fibrosis, vascular obliteration. Prominent interstitial IgG4 positive plasma cell infiltrate was identified by immunohistochemistry. Isolated IgG4-related lung disease should be taken into account as a possible differential diagnosis of mass-forming lesions, even when no other organ manifestation is clinically apparent at the time of diagnosis.ΠΡΠ΄Π΅Π»Π΅Π½Π½ΡΠ΅ Π½Π΅Π΄Π°Π²Π½ΠΎ ΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ (Ig) G4-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ (IgG4-ΠΠ) ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ ΠΈΠΌΠΌΡΠ½ΠΎΠ·Π°Π²ΠΈΡΠΈΠΌΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅, ΠΊΠΎΡΠΎΡΠΎΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ ΠΈΠ½ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠ΅ΠΉ ΠΏΠΎΡΠ°ΠΆΠ΅Π½Π½ΡΡ
ΠΎΡΠ³Π°Π½ΠΎΠ² IgG4 ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ ΠΏΠ»Π°Π·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΊΠ»Π΅ΡΠΊΠ°ΠΌΠΈ. ΠΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½ΠΈΠ΅ Π»Π΅Π³ΠΊΠΈΡ
Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ ΡΠ΅Π΄ΠΊΠΎ, ΠΏΡΠΈ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΎΠ½ΠΎ ΠΌΠΎΠΆΠ΅Ρ ΠΈΠΌΠΈΡΠΈΡΠΎΠ²Π°ΡΡ Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ Π½Π΅ΠΌΠ°Π»ΡΠ΅ ΡΡΡΠ΄Π½ΠΎΡΡΠΈ ΠΏΡΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅. Π ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Π½ΠΎΠΌ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΌ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠΈ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π½ ΡΠ»ΡΡΠ°ΠΉ ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ IgG4-ΠΠ Π»Π΅Π³ΠΊΠΈΡ
Ρ 16-Π»Π΅ΡΠ½Π΅Π³ΠΎ ΠΏΠΎΠ΄ΡΠΎΡΡΠΊΠ° ΡΠΎ ΡΠ»ΡΡΠ°ΠΉΠ½ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΡΠΌΠΈ Π΄Π²ΡΡΡΠΎΡΠΎΠ½Π½ΠΈΠΌΠΈ ΡΠ·Π»ΠΎΠ²ΡΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ Π½Π° ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ³ΡΠ°ΠΌΠΌΠ΅ ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ ΠΏΡΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ². Π ΡΠ²ΡΠ·ΠΈ Ρ ΠΏΠΎΠ΄ΠΎΠ·ΡΠ΅Π½ΠΈΠ΅ΠΌ Π½Π° Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΠΏΡΠΈΡΠΎΠ΄Ρ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Π²ΡΠΏΠΎΠ»Π½Π΅Π½Ρ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°, ΠΏΡΠΈ ΡΡΠΎΠΌ ΡΡΠΎΠ²Π΅Π½Ρ IgG4 Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Π±ΡΠ» Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
Π½ΠΎΡΠΌΡ. ΠΠΈΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ Π²ΡΡΠ²Π»Π΅Π½Π° Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ Π»ΠΈΠΌΡΠΎΠΏΠ»Π°Π·ΠΌΠΎΡΠΈΡΠ°ΡΠ½Π°Ρ ΠΈΠ½ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΡ Ρ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΡ
ΡΠΎΠ»Π»ΠΈΠΊΡΠ»ΠΎΠ², ΠΏΠ΅ΡΠΈΠ±ΡΠΎΠ½Ρ
ΠΈΠ°Π»ΡΠ½ΡΠΉ ΡΠΈΠ±ΡΠΎΠ·, ΠΎΠ±Π»ΠΈΡΠ΅ΡΠ°ΡΠΈΡ ΡΠΎΡΡΠ΄ΠΎΠ². ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΠ³ΠΈΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π½Π° ΠΈΠ½ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΡ ΠΈΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΡ IgG4-ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ ΠΏΠ»Π°Π·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΊΠ»Π΅ΡΠΊΠ°ΠΌΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ ΠΏΡΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΠΈ Π½ΠΎΠ΄ΡΠ»ΡΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ IgG4-ΠΠ Π»Π΅Π³ΠΊΠΈΡ
Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ Π΄Π°ΠΆΠ΅ ΠΏΡΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ Π΄ΡΡΠ³ΠΈΡ
ΠΎΡΠ³Π°Π½ΠΎΠ²
ΠΠ°Ρ Π²ΠΎΡΡΠ²Π°Π½ΡΡΡΡ Π½Π° ΠΏΠ΅ΡΠ΅Π΄Π°ΠΊΠΎΠ²Ρ ΡΡΠ°Π½ΠΈ ΡΠ»ΠΈΠ·ΠΎΠ²ΠΎΡ ΠΎΠ±ΠΎΠ»ΠΎΠ½ΠΊΠΈ ΠΏΠΎΡΠΎΠΆΠ½ΠΈΠ½ΠΈ ΡΠΎΡΠ° Π² ΠΠΎΠ»ΡΠ°Π²ΡΡΠΊΡΠΉ ΠΎΠ±Π»Π°ΡΡΡ Π·Π° 2003-2009 ΡΡ.
ΠΠ»ΠΎΡΠΊΡΡΠ½Ρ Π½ΠΎΠ²ΠΎΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Ρ ΠΎΠ΄Π½ΡΡΡ Π· Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΈΡ
ΠΌΠ΅Π΄ΠΈΠΊΠΎ-Π±ΡΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΡ
ΡΠ° ΡΠΎΡΡΠ°Π»ΡΠ½ΠΎ-Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π² Π£ΠΊΡΠ°ΡΠ½Ρ. Π£ΡΠ°ΠΆΠ΅Π½Π½Ρ Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ ΡΡΡΡ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΡΡΡ Π·ΡΠΎΡΡΠ°Ρ, ΡΠΌΠ΅ΡΡΠ½ΡΡΡΡ Π½Π΅ ΠΌΠ°Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΡΡ Π΄ΠΎ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½Ρ [2,9]. ΠΡΠ΄Π²ΠΈΡΠ΅Π½Π½Ρ ΠΊΠ°Π½ΡΠ΅ΡΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Π½Π°Π²Π°Π½ΡΠ°ΠΆΠ΅Π½Π½Ρ Π½Π° Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ Π£ΠΊΡΠ°ΡΠ½ΠΈ ΠΎΠ±ΡΠΌΠΎΠ²Π»Π΅Π½Π΅ Π²ΠΈΡΠΎΠΊΠΈΠΌ ΡΡΠ²Π½Π΅ΠΌ Π°Π½ΡΡΠΎΠΏΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π°Π±ΡΡΠ΄Π½Π΅Π½Π½Ρ Π΄ΠΎΠ²ΠΊΡΠ»Π»Ρ, Π·ΠΌΡΠ½Π°ΠΌΠΈ ΡΠΏΠΎΡΠΎΠ±Ρ ΠΆΠΈΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ (ΠΊΡΡΡΠ½Π½Ρ, Π·Π»ΠΎΠ²ΠΆΠΈΠ²Π°Π½Π½Ρ Π°Π»ΠΊΠΎΠ³ΠΎΠ»Ρ, ΡΠ΅ΠΊΡΡΠ°Π»ΡΠ½Π° ΡΠ° ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½Π° ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠ° ΡΠ° ΡΠ½..), ΡΠΏΡΠΈΡΡ Π·Π±ΡΠ»ΡΡΠ΅Π½Π½Ρ ΠΊΡΠΌΡΠ»ΡΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΈΠ·ΠΈΠΊΡ Π·Π°Ρ
Π²ΠΎΡΡΡΠΈ Π½Π° ΡΠ°ΠΊ; ΠΠ»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΌΠ΅Π΄ΠΈΠΊΠΎ-Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π² Π£ΠΊΡΠ°ΠΈΠ½Π΅. ΠΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π΅Ρ, ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΡ Π½Π΅ ΠΈΠΌΠ΅Π΅Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΊ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ [2,9]. ΠΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°Π½ΡΠ΅ΡΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Π½Π°Π³ΡΡΠ·ΠΊΠΈ Π½Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ Π£ΠΊΡΠ°ΠΈΠ½Ρ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½ΠΎ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π°Π½ΡΡΠΎΠΏΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΡ ΠΎΠΊΡΡΠΆΠ°ΡΡΠ΅ΠΉ ΡΡΠ΅Π΄Ρ, ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΎΠ±ΡΠ°Π·Π° ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ (ΠΊΡΡΠ΅Π½ΠΈΠ΅, Π·Π»ΠΎΡΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅ Π°Π»ΠΊΠΎΠ³ΠΎΠ»Ρ, ΡΠ΅ΠΊΡΡΠ°Π»ΡΠ½Π°Ρ ΠΈ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΈ Π΄Ρ ..), ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΠΊΡΠΌΡΠ»ΡΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° Π·Π°Π±ΠΎΠ»Π΅ΡΡ ΡΠ°ΠΊΠΎΠΌ; Malignant neoplasms are one of the most urgent medical and biological and socio-economic problems in Ukraine. Affected by this pathology, the mortality rate does not tend to decrease [2,9]. Increasing the carcinogenic burden on the population of Ukraine is conditioned by a high level of anthropogenic pollution of the environment, changes in the lifestyle of the population (smoking, alcohol abuse, sexual and reproductive behavior, etc.), increases the cumulative risk of cancer
Π’ΡΠΆΠ΅Π»ΡΠΉ ΠΎΠ±Π»ΠΈΡΠ΅ΡΠΈΡΡΡΡΠΈΠΉ Π±ΡΠΎΠ½Ρ ΠΎΠ±ΡΠΎΠ½Ρ ΠΈΠΎΠ»ΠΈΡ, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ Ρ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠΌ Π‘ΡΠΈΠ²Π΅Π½ΡΠ°βΠΠΆΠΎΠ½ΡΠΎΠ½Π°
Pulmonary complications in StevensΒ Johnson syndrome (SJS) or toxic epidermal Β ecrolysis (TEN) are rare and mostly manifest as bronchoΒ bron chiolitis obliterans with poor prognosis. Recently, there is no effective therapy for this condition in patients with SJS / TEN. We described a case of SJS with progressive hypercapnic respiratory failure in 4.5 year boy who died despite an intensive treatment. herefore, lung transplantation should be considered at the early stage of this disease.ΠΠ΅Π³ΠΎΡΠ½ΡΠ΅ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ΅ Π‘ΡΠΈΠ²Π΅Π½ΡΠ°βΠΠΆΠΎΠ½ΡΠΎΠ½Π° (Π‘Π‘Π) ΠΈΠ»ΠΈ ΡΠΎΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠΏΠΈΠ΄Π΅ΡΠΌΠ°Π»ΡΠ½ΠΎΠΌ Π½Π΅ΠΊΡΠΎΠ»ΠΈΠ·Π΅ (Π’ΠΠ) ΡΠ²Π»ΡΡΡΡΡ ΡΠ΅Π΄ΠΊΠΎΡΡΡΡ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ ΠΎΠ±Π»ΠΈΡΠ΅ΡΠΈΡΡΡΡΠΈΠΌ Π±ΡΠΎΠ½Ρ
ΠΈΡΠΎΠΌ ΠΈΠ»ΠΈ Π±ΡΠΎΠ½Ρ
ΠΈΠΎΠ»ΠΈΡΠΎΠΌ; ΠΏΡΠΎΠ³Π½ΠΎΠ· ΠΏΡΠΈ ΠΈΡ
ΡΠ°Π·Π²ΠΈΡΠΈΠΈ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ΅Π½. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΡΡΠΈΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ ΠΏΡΠΈ Π‘Π‘Π / Π’ΠΠ Π½Π΅ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠ»ΡΡΠ°ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π‘Π‘Π Ρ ΠΌΠ°Π»ΡΡΠΈΠΊΠ° 4,5 Π»Π΅Ρ. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠ΅ Π»Π΅ΡΠ΅Π½ΠΈΠ΅ ΠΎΠ±Π»ΠΈΡΠ΅ΡΠΈΡΡΡΡΠ΅Π³ΠΎ Π±ΡΠΎΠ½Ρ
ΠΈΠΎΠ»ΠΈΡΠ°, ΡΠ΅Π±Π΅Π½ΠΎΠΊ ΠΏΠΎΠ³ΠΈΠ± Π²ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΡΡΡΠ΅ΠΉ Π³ΠΈΠΏΠ΅ΡΠΊΠ°ΠΏΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π²ΠΎΠΏΡΠΎΡ ΠΎ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΠΈ Π΄ΠΎΠ»ΠΆΠ΅Π½ Π±ΡΡΡ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ ΡΠΆΠ΅ Π½Π° ΡΠ°Π½Π½Π΅ΠΉ ΡΡΠ°Π΄ΠΈΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ
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