19 research outputs found
Π£ΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΡΡΠ°Π²Π½ΡΡ ΡΡΠ΅Π½ΠΈΠΉ Π² ΡΡΠΊΠΎΠΏΠΈΡΡΡ ΠΈΠ· ΠΠΈΡΠΈΠ»Π»ΠΎ-ΠΠ΅Π»ΠΎΠ·Π΅ΡΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½Π°ΡΡΡΡΡ
The article discusses the characteristic features of the manuscripts - monuments of the Old Russian bibliography - indexes of texts for canonical worship readings, composed in the largest old Russian book center - the Kirillo-Belozersky monastery in the second half of 16th - first half of 17th century. Unlike analogous monuments of the Old Russian monastic literature created in other monasteries, indexes from St. Kirillβs monastery are known in more than ten copies. The author studied manuscripts of Kirillo-Belozerskoe, Sofiiskoe and Main Collections in the Manuscript Department of the National Library of Russia, including manuscripts introduced into scientific circulation for the first time. The author specifies different versions of these indexes in the manuscript collections of the 16th-17th centuries, and concludes, that there were no less than three different versions of indexes in monastery, and they have been created during approximately one century (starting from 1560s). The tradition of compiling indexes in St. Kirill Belozersky cloister is different, when comparing with indexes from Spaso-Prilutzky, St. Iosif Volokolamsky and St. Antony Siysky monasteries.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΡΠΊΠΎΠΏΠΈΡΠ½ΠΎΠΉ ΡΡΠ°Π΄ΠΈΡΠΈΠΈ ΠΏΠ°ΠΌΡΡΠ½ΠΈΠΊΠ° Π΄ΡΠ΅Π²Π½Π΅ΡΡΡΡΠΊΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΠ³ΡΠ°ΡΠΈΠΈ - ΡΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΡΠ°Π²Π½ΡΡ
ΡΡΠ΅Π½ΠΈΠΉ, ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π² ΠΊΡΡΠΏΠ½Π΅ΠΉΡΠ΅ΠΌ Π΄ΡΠ΅Π²Π½Π΅ΡΡΡΡΠΊΠΎΠΌ ΠΊΠ½ΠΈΠΆΠ½ΠΎΠΌ ΡΠ΅Π½ΡΡΠ΅, - ΠΠΈΡΠΈΠ»Π»ΠΎ-ΠΠ΅Π»ΠΎΠ·Π΅ΡΡΠΊΠΎΠΌ ΠΌΠΎΠ½Π°ΡΡΡΡΠ΅ - Π²ΠΎ Π²ΡΠΎΡΠΎΠΉ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π΅ XVI - ΠΏΠ΅ΡΠ²ΠΎΠΉ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π΅ XVII Π²Π΅ΠΊΠ°. Π£ΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΈΠ· ΠΠΈΡΠΈΠ»Π»ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½Π°ΡΡΡΡΡ ΡΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΡ, Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΡΡ
ΠΏΠ°ΠΌΡΡΠ½ΠΈΠΊΠΎΠ² Π΄ΡΠ΅Π²Π½Π΅ΡΡΡΡΠΊΠΎΠΉ ΠΌΠΎΠ½Π°ΡΡΡΡΡΠΊΠΎΠΉ ΠΊΠ½ΠΈΠΆΠ½ΠΎΡΡΠΈ, Π² Π±ΠΎΠ»ΡΡΠΎΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΡΠΏΠΈΡΠΊΠΎΠ². ΠΠ²ΡΠΎΡΠΎΠΌ ΠΈΠ·ΡΡΠ΅Π½Ρ ΡΡΠΊΠΎΠΏΠΈΡΠΈ ΠΠΈΡΠΈΠ»Π»ΠΎ-ΠΠ΅Π»ΠΎΠ·Π΅ΡΡΠΊΠΎΠ³ΠΎ, Π‘ΠΎΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΎΠ±ΡΠ°Π½ΠΈΡ ΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΠ±ΡΠ°Π½ΠΈΡ ΠΎΡΠ΄Π΅Π»Π° ΡΡΠΊΠΎΠΏΠΈΡΠ΅ΠΉ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ (Π ΠΠ), Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π²ΠΏΠ΅ΡΠ²ΡΠ΅ Π²Π²ΠΎΠ΄ΠΈΠΌΡΠ΅ Π² Π½Π°ΡΡΠ½ΡΠΉ ΠΎΠ±ΠΎΡΠΎΡ. ΠΡΠ΄Π΅Π»Π΅Π½Ρ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠ΅ ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ ΠΏΠ°ΠΌΡΡΠ½ΠΈΠΊΠ° ΠΈ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΠΏΠ΅ΡΠ΅ΡΠΈΡΠ»Π΅Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅Π΄Π°ΠΊΡΠΈΠΉ ΡΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΠ΅Π½ΠΈΠΉ. Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ Π² ΠΠΈΡΠΈΠ»Π»ΠΎ-ΠΠ΅Π»ΠΎΠ·Π΅ΡΡΠΊΠΎΠΌ ΠΌΠΎΠ½Π°ΡΡΡΡΠ΅, Π½Π°ΡΠΈΠ½Π°Ρ Ρ 1560-Ρ
Π³Π³., Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ»Π΅ΡΠΈΡ Π±ΡΠ»ΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΎ ΠΏΠΎ ΠΌΠ΅Π½ΡΡΠ΅ΠΉ ΠΌΠ΅ΡΠ΅ ΡΡΠΈ ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ ΡΠΊΠ°Π·Π°ΡΠ΅Π»Ρ/ΡΠΊΠ°Π·ΡΠ° ΡΡΠ΅Π½ΠΈΠΉ. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΡΠ°Π΄ΠΈΡΠΈΠΈ ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π² ΠΠΈΡΠΈΠ»Π»ΠΎ-ΠΠ΅Π»ΠΎΠ·Π΅ΡΡΠΊΠΎΠΌ, Π‘ΠΏΠ°ΡΠΎ-ΠΡΠΈΠ»ΡΡΠΊΠΎΠΌ, ΠΠΎΡΠΈΡΠΎ-ΠΠΎΠ»ΠΎΠΊΠΎΠ»Π°ΠΌΡΠΊΠΎΠΌ Π£ΡΠΏΠ΅Π½ΡΠΊΠΎΠΌ ΠΈ ΠΠ½ΡΠΎΠ½ΠΈΠ΅Π²ΠΎ-Π‘ΠΈΠΉΡΠΊΠΎΠΌ ΠΌΠΎΠ½Π°ΡΡΡΡΡΡ
Π‘Π²ΡΡΡΡ Π‘ΠΈΠΌΠΎΠ½Π° ΠΠ·Π°ΡΡΠΈΠ½Π° ΠΈΠ· ΡΠΎΠ±ΡΠ°Π½ΠΈΡ ΠΎΡΠ΄Π΅Π»Π° ΡΡΠΊΠΎΠΏΠΈΡΠ΅ΠΉ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ
The largest part of the private library of Simon Azaryin, prominent church writer of the 17th century, is kept in the Manuscript Department of the Russian State Library. There are two manuscripts (F. 173. Collection of the Moscow Theological Academy) which include Menologies compiled by Simon. Both MDA books are collections of writings and extracts of Saintsβ Lives, chronicles, etc, and there is a Menology with memories of only the Russian Saints. Simon Azaryinβs Menologies is the prominent monument of the time of βCollecting the Russian Sainthoodβ. The list of Saints in Simonβs Menologies includes a part organized in calendar order and a part with the data on Saints, for whom the date of memory is unknown. The Menologies contain several rare and unique memories. Data on disciples of St. Sergius of Radonezh texture a separate part of the Menology (for some of them it is a unique, and, possibly, legendary evidence).Π ΡΠΊΠΎΠΏΠΈΡΠ½ΡΠ΅ ΡΠΎΠ½Π΄Ρ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ (Π ΠΠ) Ρ
ΡΠ°Π½ΡΡ Π±ΠΎΠ»ΡΡΡΡ ΡΠ°ΡΡΡ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠ³ΠΎ ΠΊΠ½ΠΈΠΆΠ½ΠΈΠΊΠ° XVII Π². Π‘ΠΈΠΌΠΎΠ½Π° ΠΠ·Π°ΡΡΠΈΠ½Π°. Π‘ΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ ΠΈΠΌ ΡΠ²ΡΡΡΡ ΡΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΡ Π² Π΄Π²ΡΡ
ΡΡΠΊΠΎΠΏΠΈΡΡΡ
ΠΈΠ· ΡΡΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ (ΠΠ Π ΠΠ. Π€. 173. Π‘ΠΎΠ±ΡΠ°Π½ΠΈΠ΅ ΠΠΎΡΠΊΠΎΠ²ΡΠΊΠΎΠΉ Π΄ΡΡ
ΠΎΠ²Π½ΠΎΠΉ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΠΈ). ΠΠ±Π΅ ΡΡΠΊΠΎΠΏΠΈΡΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ Π°Π²ΡΠΎΡΡΠΊΠΈΠ΅ ΡΠ±ΠΎΡΠ½ΠΈΠΊΠΈ ΠΈ Π²ΠΊΠ»ΡΡΠ°ΡΡ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Π²ΡΠΏΠΈΡΠΊΠΈ ΠΈΠ· ΠΆΠΈΡΠΈΠΉ, Π»Π΅ΡΠΎΠΏΠΈΡΠ΅ΠΉ, ΡΠ²ΡΡΡΡ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠ΅ ΠΈΡΠΊΠ»ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π΄Π½ΠΈ ΠΏΠ°ΠΌΡΡΠΈ ΡΡΡΡΠΊΠΈΡ
ΡΠ²ΡΡΡΡ
. Π‘Π²ΡΡΡΡ Π‘ΠΈΠΌΠΎΠ½Π° ΠΠ·Π°ΡΡΠΈΠ½Π° ΡΠ²Π»ΡΡΡΡΡ Π·Π°ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΌ ΠΏΠ°ΠΌΡΡΠ½ΠΈΠΊΠΎΠΌ ΡΠΏΠΎΡ
ΠΈ Β«ΡΠΎΠ±ΠΈΡΠ°Π½ΠΈΡ ΡΡΡΡΠΊΠΎΠΉ ΡΠ²ΡΡΠΎΡΡΠΈΒ». ΠΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΡΠ²ΡΡΡΡ
ΠΏΠΎΠ΄Π΅Π»Π΅Π½ Π½Π° Π΄Π²Π΅ ΡΠ°ΡΡΠΈ: ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎ ΠΊΠ°Π»Π΅Π½Π΄Π°ΡΠ½ΡΡ ΠΈ ΡΡ, Π³Π΄Π΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ Π΄Π½ΠΈ ΠΏΠ°ΠΌΡΡΠΈ ΡΠ²ΡΡΡΡ
, ΠΏΡΠ°Π·Π΄Π½ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΠΎΡΡΡ
Π±ΡΠ»ΠΈ Π½Π΅ΠΈΠ·Π²Π΅ΡΡΠ½Ρ ΡΠΎΡΡΠ°Π²ΠΈΡΠ΅Π»Ρ ΠΌΠ΅ΡΡΡΠ΅ΡΠ»ΠΎΠ²Π°. Π ΡΠ²ΡΡΡΠ°Ρ
ΠΈΠΌΠ΅Π΅ΡΡΡ ΡΡΠ΄ ΡΠ΅Π΄ΠΊΠΈΡ
, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΡ
Π΄Π½Π΅ΠΉ ΠΏΠ°ΠΌΡΡΠΈ. ΠΡΠΎΠ±ΠΎ ΠΎΡΠΌΠ΅ΡΠ΅Π½Ρ ΡΡΠ΅Π½ΠΈΠΊΠΈ Π‘Π΅ΡΠ³ΠΈΡ Π Π°Π΄ΠΎΠ½Π΅ΠΆΡΠΊΠΎΠ³ΠΎ (ΠΈΠ·Π²Π΅ΡΡΠΈΠ΅ ΡΠ²ΡΡΡΠ΅Π² Π‘ΠΈΠΌΠΎΠ½Π° ΠΠ·Π°ΡΡΠΈΠ½Π°, Π½Π°Π·ΡΠ²Π°ΡΡΠΈΡ
ΡΡΠ΅Π½ΠΈΠΊΠ°ΠΌΠΈ ΠΏΡΠ΅ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠ³ΠΎ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΠΎΡΠ½ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΌΠΎΠ½Π°ΡΡΡΡΠ΅ΠΉ, ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΠΌ ΠΈ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ, Π»Π΅Π³Π΅Π½Π΄Π°ΡΠ½ΡΠΌ)
Pegvisomant and current approaches to the medical treatment of acromegaly (literature review and case report)
This review provides the main results of clinical trials and the literature on the experience of using pegvisomant, the first drug from the class of growth hormone receptor antagonists. The mechanism of action of the drug, its effectiveness with respect to disease control and its effect on complications, information on adverse events, and brief information on the experience of use during pregnancy are discussed in detail. In conclusion, a clinical observation of successful use of pegvisomant in resistant to standart treatment acromegaly is given. A discussion of the available literature data, the results of clinical studies and practical experience allows us to conclude that the drug is highly effective in terms of achieving biochemical remission of acromegaly, and also has a number of additional valuable properties: it is capable of improvement of patients’ glucose metabolism and quality of life and has a minimal amount of adverse events. Pegvisomant is currently registered in the Russian Federation only for use in monotherapy; the possibility of combination therapy with somatostatin analogues will additionally allow to reliably control the growth of the pituitary adenoma and significantly cut treatment costs by reducing the dose of pegvisomant. These features of the drug make it very relevant when discussing issues related to drug therapy of acromegaly, and suggest a good prospect for use in clinical practice
Short-term and medium-term clinical outcomes of multisystem inflammatory syndrome in children:a prospective observational cohort study
BACKGROUND: Even though the incidence of Multisystem Inflammatory Syndrome in children (MIS-C) is decreasing cases are still reported across the world. Studying the consequences of MIS-C enhances our understanding of the disease's prognosis. The objective of this study was to assess short- and medium-term clinical outcomes of MIS-C.METHODS: Prospective observational cohort study at Municipal Children's Hospital Morozovskaya, Moscow, Russia. All children meeting the Royal College of Paediatrics and Child Health (RCPCH), Centers for Disease Control and Prevention (CDC), or the World Health Organization (WHO) MIS-C case definition admitted to the hospital between 17 May and 26 October 2020 were included in the study. All survivors were invited to attend a clinic at 2 and 6βweeks after hospital discharge.RESULTS: 37 children median age 6βyears (interquartile range [IQR] 3.3-9.4), 59.5% (22/37) boys were included in the study. 48.6% (18/37) of patients required ICU care. One child died. All children had increased levels of systemic inflammatory markers during the acute event. Echocardiographic investigations identified abnormal findings in 35.1% (13/37) of children. 5.6% (2/36) of children were presenting with any symptoms six weeks after discharge. By six weeks the inflammatory markers were within the reference norms in all children. The echocardiographic evaluation showed persistent coronary dilatation in one child.CONCLUSIONS: Despite the severity of their acute MIS-C, the majority of children in our cohort fully recovered with none having elevated laboratory markers of inflammation at 6βweeks, few (<β10%) reporting persistent symptoms at 6βweeks, and only one with persistent echocardiographic abnormalities.</p
Intraoperative electroencephalogram patterns as predictors of postoperative delirium in older patients: a systematic review and meta-analysis
BackgroundPostoperative delirium (POD) significantly affects patient outcomes after surgery, leading to increased morbidity, extended hospital stays, and potential long-term cognitive decline. This study assessed the predictive value of intraoperative electroencephalography (EEG) patterns for POD in adults.MethodsThis systematic review and meta-analysis followed the PRISMA and Cochrane Handbook guidelines. A thorough literature search was conducted using PubMed, Medline, and CENTRAL databases focusing on intraoperative native EEG signal analysis in adult patients. The primary outcome was the relationship between the burst suppression EEG pattern and POD development.ResultsFrom the initial 435 articles identified, 19 studies with a total of 7,229 patients were included in the systematic review, with 10 included in the meta-analysis (3,705 patients). In patients exhibiting burst suppression, the POD incidence was 22.1% vs. 13.4% in those without this EEG pattern (p=0.015). Furthermore, an extended burst suppression duration associated with a higher likelihood of POD occurrence (p = 0.016). Interestingly, the burst suppression ratio showed no significant association with POD.ConclusionsThis study revealed a 41% increase in the relative risk of developing POD in cases where a burst suppression pattern was present. These results underscore the clinical relevance of intraoperative EEG monitoring in predicting POD in older patients, suggesting its potential role in preventive strategies.Systematic Review RegistrationThis study was registered on International Platform for Registered Protocols for Systematic Reviews and Meta-Analyses: INPLASY202420001, https://doi.org/10.37766/inplasy2024.2.0001
Crowdsourcing Fungal Biodiversity : Revision of Inaturalist Observations in Northwestern Siberia
The paper presents the first analysis of crowdsourcing data of all observations of fungi (including lichens) and myxomycetes in Northwestern Siberia uploaded to iNaturalist.org to date (24.02.2022). The Introduction presents an analysis of fungal diversity crowdsourcing globally, in Russia, and in the region of interest. Materials and methods describe the protocol of uploading data to iNaturalist.org, the structure of the crowdsourcing community. initiative to revise the accumulated data. procedures of data analysis, and compilation of a dataset of revised crowdsourced data. The Results present the analysis of accumulated data by several parameters: temporal, geographical and taxonomical scope, observation and identification efforts, identifiability of various taxa, species novelty and Red Data Book categories and the protection status of registered observations. The Discussion provides data on usability of crowdsourcing data for biodiversity research and conservation of fungi, including pros and contras. The Electronic Supplements to the paper include an annotated checklist of observations of protected species with information on Red Data Book categories and the protection status, and an annotated checklist of regional records of new taxa. The paper is supplemented with a dataset of about 15 000 revised and annotated records available through Global Biodiversity Information Facility (GBIF). The tradition of crowdsourcing is rooted in mycological societies around the world, including Russia. In Northwestern Siberia, a regional mycological club was established in 2018, encouraging its members to contribute observations of fungi on iNaturalist.org. A total of about 15 000 observations of fungi and myxomycetes were uploaded so far, by about 200 observers, from three administrative regions (Yamalo-Nenetsky Autonomous Okrug, Khanty-Mansi Autonomous Okrug, and Tyumen Region). The geographical coverage of crowdsourcing observations remains low. However. the observation activity has increased in the last four years. The goal of this study consisted of a collaborative effort of professional mycologists invited to help with the identification of these observations and analysis of the accumulated data. As a result, all observations were reviewed by at least one expert. About half of all the observations have been identified reliably to the species level and received Research Grade status. Of those, 90 species (195 records) represented records of taxa new to their respective regions: 876 records of 53 species of protected species provide important data for conservation programmes. The other half of the observations consists of records still under-identified for various reasons: poor quality photographs, complex taxa (impossible to identify without microscopic or molecular study). or lack of experts in a particular taxonomic group. The Discussion section summarises the pros and cons of the use of crowdsourcing for the study and conservation of regional fungal diversity, and summarises the dispute on this subject among mycologists. Further research initiatives involving crowdsourcing data must focus on an increase in the quality of observations and strive to introduce the habit of collecting voucher specimens among the community of amateurs. The timely feedback from experts is also important to provide quality and the increase of personal involvement.Peer reviewe
Immunoglobulin, glucocorticoid, or combination therapy for multisystem inflammatory syndrome in children: a propensity-weighted cohort study.
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C), a hyperinflammatory condition associated with SARS-CoV-2 infection, has emerged as a serious illness in children worldwide. Immunoglobulin or glucocorticoids, or both, are currently recommended treatments. METHODS: The Best Available Treatment Study evaluated immunomodulatory treatments for MIS-C in an international observational cohort. Analysis of the first 614 patients was previously reported. In this propensity-weighted cohort study, clinical and outcome data from children with suspected or proven MIS-C were collected onto a web-based Research Electronic Data Capture database. After excluding neonates and incomplete or duplicate records, inverse probability weighting was used to compare primary treatments with intravenous immunoglobulin, intravenous immunoglobulin plus glucocorticoids, or glucocorticoids alone, using intravenous immunoglobulin as the reference treatment. Primary outcomes were a composite of inotropic or ventilator support from the second day after treatment initiation, or death, and time to improvement on an ordinal clinical severity scale. Secondary outcomes included treatment escalation, clinical deterioration, fever, and coronary artery aneurysm occurrence and resolution. This study is registered with the ISRCTN registry, ISRCTN69546370. FINDINGS: We enrolled 2101 children (aged 0 months to 19 years) with clinically diagnosed MIS-C from 39 countries between June 14, 2020, and April 25, 2022, and, following exclusions, 2009 patients were included for analysis (median age 8Β·0 years [IQR 4Β·2-11Β·4], 1191 [59Β·3%] male and 818 [40Β·7%] female, and 825 [41Β·1%] White). 680 (33Β·8%) patients received primary treatment with intravenous immunoglobulin, 698 (34Β·7%) with intravenous immunoglobulin plus glucocorticoids, 487 (24Β·2%) with glucocorticoids alone; 59 (2Β·9%) patients received other combinations, including biologicals, and 85 (4Β·2%) patients received no immunomodulators. There were no significant differences between treatments for primary outcomes for the 1586 patients with complete baseline and outcome data that were considered for primary analysis. Adjusted odds ratios for ventilation, inotropic support, or death were 1Β·09 (95% CI 0Β·75-1Β·58; corrected p value=1Β·00) for intravenous immunoglobulin plus glucocorticoids and 0Β·93 (0Β·58-1Β·47; corrected p value=1Β·00) for glucocorticoids alone, versus intravenous immunoglobulin alone. Adjusted average hazard ratios for time to improvement were 1Β·04 (95% CI 0Β·91-1Β·20; corrected p value=1Β·00) for intravenous immunoglobulin plus glucocorticoids, and 0Β·84 (0Β·70-1Β·00; corrected p value=0Β·22) for glucocorticoids alone, versus intravenous immunoglobulin alone. Treatment escalation was less frequent for intravenous immunoglobulin plus glucocorticoids (OR 0Β·15 [95% CI 0Β·11-0Β·20]; p<0Β·0001) and glucocorticoids alone (0Β·68 [0Β·50-0Β·93]; p=0Β·014) versus intravenous immunoglobulin alone. Persistent fever (from day 2 onward) was less common with intravenous immunoglobulin plus glucocorticoids compared with either intravenous immunoglobulin alone (OR 0Β·50 [95% CI 0Β·38-0Β·67]; p<0Β·0001) or glucocorticoids alone (0Β·63 [0Β·45-0Β·88]; p=0Β·0058). Coronary artery aneurysm occurrence and resolution did not differ significantly between treatment groups. INTERPRETATION: Recovery rates, including occurrence and resolution of coronary artery aneurysms, were similar for primary treatment with intravenous immunoglobulin when compared to glucocorticoids or intravenous immunoglobulin plus glucocorticoids. Initial treatment with glucocorticoids appears to be a safe alternative to immunoglobulin or combined therapy, and might be advantageous in view of the cost and limited availability of intravenous immunoglobulin in many countries. FUNDING: Imperial College London, the European Union's Horizon 2020, Wellcome Trust, the Medical Research Foundation, UK National Institute for Health and Care Research, and National Institutes of Health
Β«Π£ΠΊΠ°Π·ΡΡΒ» ΠΌΠΎΠ½Π°ΡΡΡΡΡΠΊΠΈΡ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊ Π²ΡΠΎΡΠΎΠΉ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Ρ XVI β XVII Π²Π΅ΠΊΠΎΠ²
The indexes of readings calendared in Russia in the largest ancient Cloister libraries of 16-17th centuries are considered. The special attention is given to one of the little-known indexes, calendared in the Antonievo-Sijsky monastery during the dignity of a hegumen Feodosiya, (1614-1687), who was a famous scribe. New scientific facts for scientific use are introduced. The manuscript sources of the Russian Academy of Sciences Library, of the Russian national library and of the Russian state library are used.Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΡΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΡΠ΅Π½ΠΈΠΉ, ΡΠΎΡΡΠ°Π²Π»ΡΠ²ΡΠΈΠ΅ΡΡ Π½Π° Π ΡΡΠΈ Π² ΠΊΡΡΠΏΠ½Π΅ΠΉΡΠΈΡ
Π΄ΡΠ΅Π²Π½ΠΈΡ
ΠΌΠΎΠ½Π°ΡΡΡΡΡΠΊΠΈΡ
Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°Ρ
: XVI β XVII Π²Π΅ΠΊΠΎΠ². ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΎΠ΄Π½ΠΎΠΌΡ ΠΈΠ· Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΡΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΌΡ Π² ΠΠ½ΡΠΎΠ½ΠΈΠ΅Π²ΠΎ-Π‘ΠΈΠΉΡΠΊΠΎΠΌ ΠΌΠΎΠ½Π°ΡΡΡΡΠ΅ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΈΠ³ΡΠΌΠ΅Π½ΡΡΠ²Π° ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠ³ΠΎ ΠΊΠ½ΠΈΠΆΠ½ΠΈΠΊΠ° Π€Π΅ΠΎΠ΄ΠΎΡΠΈΡ (1614β1687 Π³Π³.). ΠΠ²ΠΎΠ΄ΡΡΡΡ Π² Π½Π°ΡΡΠ½ΡΠΉ ΠΎΠ±ΠΎΡΠΎΡ Π½ΠΎΠ²ΡΠ΅ Π½Π°ΡΡΠ½ΡΠ΅ ΡΠ°ΠΊΡΡ.ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΡΠΊΠΎΠΏΠΈΡΠ½ΡΠ΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΈ ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΠΈ Π½Π°ΡΠΊ, Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ, Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ
Genomic Variability of SARS-CoV-2 Omicron Variant Circulating in the Russian Federation during Early December 2021 and Late January 2022
Analysis of genomic variability of pathogens associated with heightened public health concerns is an opportunity to track transmission routes of the disease and helps to develop more effective vaccines and specific diagnostic tests. We present the findings of a detailed genomic analysis of the genomic variability of the SARS-CoV-2 Omicron variant that spread in Russia between 8 December 2021 and 30 January 2022. We performed phylogenetic analysis of Omicron viral isolates collected in Moscow (n = 589) and downloaded from GISAID (n = 397), and identified that the BA.1 lineage was predominant in Russia during this period. The BA.2 lineage was also identified early in December 2021. We identified three cases of BA.1/BA.2 coinfections and one case of Delta/Omicron coinfection. A comparative genomic analysis of SARS-CoV-2 viral variants that spread in other countries allowed us to identify possible cases of transmission. We also found that some mutations that are quite rare in the Global Omicron dataset have a higher incidence rate, and identified genetic markers that could be associated with ways of Omicron transmission in Russia. We give the genomic variability of single nucleotide variations across the genome and give a characteristic of haplotype variability of Omicron strains in both Russia and around the world, and we also identify them