15 research outputs found
The generalized non-conservative model of a 1-planet system - revisited
We study the long-term dynamics of a planetary system composed of a star and
a planet. Both bodies are considered as extended, non-spherical, rotating
objects. There are no assumptions made on the relative angles between the
orbital angular momentum and the spin vectors of the bodies. Thus, we analyze
full, spatial model of the planetary system. Both objects are assumed to be
deformed due to their own rotations, as well as due to the mutual tidal
interactions. The general relativity corrections are considered in terms of the
post-Newtonian approximation. Besides the conservative contributions to the
perturbing forces, there are also taken into account non-conservative effects,
i.e., the dissipation of the mechanical energy. This dissipation is a result of
the tidal perturbation on the velocity field in the internal zones with
non-zero turbulent viscosity (convective zones). Our main goal is to derive the
equations of the orbital motion as well as the equations governing
time-evolution of the spin vectors (angular velocities). We derive the
Lagrangian equations of the second kind for systems which do not conserve the
mechanical energy. Next, the equations of motion are averaged out over all fast
angles with respect to time-scales characteristic for conservative
perturbations. The final equations of motion are then used to study the
dynamics of the non-conservative model over time scales of the order of the age
of the star. We analyze the final state of the system as a function of the
initial conditions. Equilibria states of the averaged system are finally
discussed.Comment: 37 pages, 13 figures, accepted to Celestial Mechanics and Dynamical
Astronom
ΠΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° Ρ Π»Π΅ΡΠ°ΡΠΈΠΌ Π²ΡΠ°ΡΠΎΠΌ ΠΈ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΡΡΡ ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ Π² ΡΠ²ΡΠ·ΠΈ Ρ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΡΠΌ COVID-19
Background. The number of hospitalized patients diagnosed with coronavirus infection in MarchMay 2020 increased in almost all countries. Of course, such a pandemic has become a challenge for the entire health care system. In the current conditions, maintaining high standards of quality of medical care, establishing contact between specialists and the patient is a separate difficult task; at the same time, it is precisely the contact with specialists and the subjectively perceived quality of care that plays an important role in establishing compliance, and, therefore, in the success of patient treatment. Our research is devoted to the search for ways to solve this problem.
Aims to study the features of the emotional state of patients hospitalized for COVID-19 and describe the contribution of these features to interaction in the doctor-patient dyad and satisfaction with the medical care received.
Methods. The study involved 127 people hospitalized with a confirmed diagnosis of COVID-19. The research methods used: 1) a questionnaire developed by the authors, which included socio-demographic data and a block of questions about interaction with a doctor and medical personnel; 2) the Russian-language version of the Beck Depression Inventory; 3) Russian-language version of the GAD-7 anxiety questionnaire.
Results. 25.4% of participants have pronounced signs of anxiety, 24.13% signs of depression; 54% of patients indicate that the help they receive in the framework of hospitalization is sufficient; 7% speak of the need for support from a psychologist. Formulated information about what is happening with the patient is the key factor in contact with a doctor (for 62.9%), and a visible improvement in well-being is important only for 43.4%. The presence of anxious and depressive symptoms makes a qualitative difference in establishing contact with a doctor and assessing the severity of ones own condition.
Conclusions. Based on the results of the study, in the future, it is possible to formulate various strategies for working with patients showing high rates of depressive and anxious experiences: such strategies should take into account the importance of close contact with the doctor and detailed information for patients. It is also important when building further work to take into account age characteristics (for example, a greater focus on working with a psychologist among the young population group), the time of hospitalization (whether they coincide with the dates traditionally significant in culture) and the gender of patients. It is also important to take into account that in a COVID-19 situation, it is decisive in contact with a doctor to obtain clear and accessible information about the patients condition and prescriptions made on time, and not a significant improvement in well-being.ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅. Π§ΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ Π² ΠΌΠ°ΡΡΠ΅ΠΌΠ°Π΅ 2020 Π³. ΡΠΎΡΠ»Π° ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π²ΠΎ Π²ΡΠ΅Ρ
ΡΡΡΠ°Π½Π°Ρ
. ΠΠ΅Π·ΡΡΠ»ΠΎΠ²Π½ΠΎ, ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΡ ΡΡΠ°Π»Π° Π²ΡΠ·ΠΎΠ²ΠΎΠΌ Π΄Π»Ρ Π²ΡΠ΅ΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ. Π ΡΠ»ΠΎΠΆΠΈΠ²ΡΠΈΡ
ΡΡ ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠΎΠ±Π»ΡΠ΄Π΅Π½ΠΈΠ΅ Π²ΡΡΠΎΠΊΠΈΡ
ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ² ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ, ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠ°ΠΌΠΈ ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠΌ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ ΡΠ»ΠΎΠΆΠ½ΡΡ Π·Π°Π΄Π°ΡΡ. ΠΡΠΈ ΡΡΠΎΠΌ ΠΈΠΌΠ΅Π½Π½ΠΎ ΠΊΠΎΠ½ΡΠ°ΠΊΡ ΡΠΎ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠΌ ΠΈ ΡΡΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΎΡΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅ΠΌΠΎΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΏΠΎΠΌΠΎΡΠΈ ΠΈΠ³ΡΠ°ΡΡ Π±ΠΎΠ»ΡΡΡΡ ΡΠΎΠ»Ρ Π² ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΈ ΠΊΠΎΠΌΠΏΠ»Π°Π΅Π½ΡΠ°, Π° Π·Π½Π°ΡΠΈΡ, ΠΈ Π² ΡΡΠΏΠ΅ΡΠ½ΠΎΡΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΠΎΠΈΡΠΊΠ°ΠΌ ΠΏΡΡΠ΅ΠΉ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ΠΎ Π½Π°ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅.
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ·ΡΡΠΈΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΡΠ²ΡΠ·ΠΈ Ρ COVID-19, ΠΈ ΠΎΠΏΠΈΡΠ°ΡΡ Π²ΠΊΠ»Π°Π΄ ΡΡΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π²ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π² Π΄ΠΈΠ°Π΄Π΅ Π²ΡΠ°ΡΠΏΠ°ΡΠΈΠ΅Π½Ρ ΠΈ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΡΡΡ ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΡΡ.
ΠΠ΅ΡΠΎΠ΄Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠ½ΡΠ»ΠΈ ΡΡΠ°ΡΡΠΈΠ΅ 127 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ, Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΊΠ»ΠΈΠ½ΠΈΠΊΡ Π² ΡΠ²ΡΠ·ΠΈ Ρ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΡΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΠ·ΠΎΠΌ COVID-19. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ: 1) ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ Π°Π½ΠΊΠ΅ΡΠ°, Π²ΠΊΠ»ΡΡΠ°Π²ΡΠ°Ρ ΡΠΎΡΠΈΠΎΠ΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΈ Π±Π»ΠΎΠΊ Π²ΠΎΠΏΡΠΎΡΠΎΠ² ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΈ Ρ Π»Π΅ΡΠ°ΡΠΈΠΌ Π²ΡΠ°ΡΠΎΠΌ ΠΈ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠΌ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΠΎΠΌ; 2) ΡΡΡΡΠΊΠΎΡΠ·ΡΡΠ½Π°Ρ Π²Π΅ΡΡΠΈΡ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠ° Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ ΠΠ΅ΠΊΠ°; 3) ΡΡΡΡΠΊΠΎΡΠ·ΡΡΠ½Π°Ρ Π²Π΅ΡΡΠΈΡ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠ° ΡΡΠ΅Π²ΠΎΠ³ΠΈ GAD-7.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. 25,4% ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΠΈΠΌΠ΅ΡΡ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ; 24,13% ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ; 54% ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΠ°Ρ ΠΈΠΌΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΠΎΠΌΠΎΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½Π°; 7% Π³ΠΎΠ²ΠΎΡΡΡ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³Π°. ΠΠ»ΡΡΠ΅Π²ΡΠΌ ΡΠ°ΠΊΡΠΎΡΠΎΠΌ Π² ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ΅ Ρ Π²ΡΠ°ΡΠΎΠΌ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π΄ΠΎΡΡΡΠΏΠ½ΠΎ ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΡΡΠ΅ΠΌ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠΌ (Π΄Π»Ρ 62,9%), Π° Π²ΠΈΠ΄ΠΈΠΌΠΎΠ΅ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ ΡΠ°ΠΌΠΎΡΡΠ²ΡΡΠ²ΠΈΡ Π²Π°ΠΆΠ½ΠΎ Π»ΠΈΡΡ Π΄Π»Ρ 43,4%. ΠΠ°Π»ΠΈΡΠΈΠ΅ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΠΉ ΠΈ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΠΌΠΏΡΠΎΠΌΠ°ΡΠΈΠΊΠΈ Π²Π½ΠΎΡΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΠΎΡΠ»ΠΈΡΠΈΠ΅ Π² ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° Ρ Π²ΡΠ°ΡΠΎΠΌ ΠΈ ΠΎΡΠ΅Π½ΠΊΡ ΡΡΠΆΠ΅ΡΡΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ.
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ Π²Π°ΡΠΈΠ°Π½ΡΡ ΡΠ°Π±ΠΎΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ, Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΡΡΠΈΠΌΠΈ Π²ΡΡΠΎΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΡ
ΠΈ ΡΡΠ΅Π²ΠΎΠΆΠ½ΡΡ
ΠΏΠ΅ΡΠ΅ΠΆΠΈΠ²Π°Π½ΠΈΠΉ: ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΠ΅ Π²Π°ΡΠΈΠ°Π½ΡΡ Π΄ΠΎΠ»ΠΆΠ½Ρ ΡΡΠΈΡΡΠ²Π°ΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ Π±Π»ΠΈΠ·ΠΊΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° Ρ Π²ΡΠ°ΡΠΎΠΌ ΠΈ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². Π’Π°ΠΊΠΆΠ΅ Π²Π°ΠΆΠ½ΠΎ ΠΏΡΠΈ Π²ΡΡΡΡΠ°ΠΈΠ²Π°Π½ΠΈΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΡ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ, Π²ΡΠ΅ΠΌΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΏΠΎΠ» ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². Π‘Π»Π΅Π΄ΡΠ΅Ρ ΡΡΠΈΡΡΠ²Π°ΡΡ, ΡΡΠΎ Π² ΡΠΈΡΡΠ°ΡΠΈΠΈ COVID-19 ΡΠ΅ΡΠ°ΡΡΠΈΠΌΠΈ Π² ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ΅ Ρ Π²ΡΠ°ΡΠΎΠΌ ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ½ΡΡΠ½ΠΎΠΉ ΠΈ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° ΠΈ Π²ΠΎΠ²ΡΠ΅ΠΌΡ ΡΠ΄Π΅Π»Π°Π½Π½ΡΠ΅ ΠΏΡΠ΅Π΄ΠΏΠΈΡΠ°Π½ΠΈΡ, Π° Π½Π΅ Π·Π½Π°ΡΠΈΠΌΠΎΠ΅ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ ΡΠ°ΠΌΠΎΡΡΠ²ΡΡΠ²ΠΈΡ
Structure and properties of resistant starches (RS III) in gels and in bread produced from high-amylose wheat flour
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
Comparative lipidomic analysis of inflammatory mediators in the aqueous humor and tear fluid of humans and rabbits
Introduction: Ocular inflammation is a key pathogenic factor in most blindness-causing visual disorders. It can manifest in the aqueous humor (AH) and tear fluid (TF) as alterations in polyunsaturated fatty acids (PUFAs) and their metabolites, oxylipins, lipid mediators, which are biosynthesized via enzymatic pathways involving lipoxygenase, cyclooxygenase or cytochrome P450 monooxygenase and specifically regulate inflammation and resolution pathways. Objectives: This study aimed to establish the baseline patterns of PUFAs and oxylipins in AH and TF by their comprehensive lipidomic identification and profiling in humans in the absence of ocular inflammation and comparatively analyze these compounds in the eye liquids of rabbits, the species often employed in investigative ophthalmology. Methods: Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used for qualitative and quantitative characterization of lipid compounds in the analyzed samples. Results: A total of 28 lipid compounds were identified, including phospholipid derivatives and PUFAs, as well as 22 oxylipins. Whereas the PUFAs included arachidonic, docosahexaenoic and eicosapentaenoic acids, the oxylipins were derived mainly from arachidonic, linoleic and Ξ±-linolenic acids. Remarkably, although the concentration of oxylipins in AH was lower compared to TF, these liquids showed pronounced similarity in their lipid profiles, which additionally exhibited noticeable interspecies concordance. Conclusion: The revealed correlations confirm the feasibility of rabbit models for investigating pathogenesis and trialing therapies of human eye disorders. The identified metabolite patterns suggest enzymatic mechanisms of oxylipin generation in AH and TF and might be used as a reference in ocular inflammation studies. Β© 2020, Springer Science+Business Media, LLC, part of Springer Nature