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    МодСль прогнозирования ΠΈ управлСния ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹ΠΌΠΈ Ρ€ΠΎΠ΄Π°ΠΌΠΈ

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    Background: It seems relevant to study the contribution of socio-demographic, somatic and obstetric-gynecological factors in the implementation of preterm birth. Aims: Assessment of the prognostic significance of socio-demographic, obstetric-gynecological and somatic factors in the prediction of preterm birth and associated adverse pregnancy outcomes with subsequent validation of the prognostic model. Materials and methods: Cohort study with a mixed cohort. A retrospective assessment of socio-demographic factors, harmful habits, obstetric and gynecological pathology, somatic diseases, course and outcomes of pregnancy was carried out with the assessment of the status of newborns in 1246 women with subsequent construction of a predictive model of preterm birth and adverse outcomes of pregnancy using Regression with Optimal Scaling and its prospective validation in 100 women. Results: The most significant predictors, that increase the chance of preterm birth and adverse pregnancy outcomes, were history of premature birth, irregular monitoring during pregnancy, history of pelvic inflammatory disease, smoking, obesity, the onset of sexual activity up to 16 years, cardiovascular and endocrine diseases. Intellectual job reduced the chance of preterm birth and adverse pregnancy outcomes This multivariate predictive model has a diagnostic value. The score of risk factors 25 points had a sensitivity of 73%, a specificity of 71%, the area under the ROC curve (AUC) 0.76 (good quality), p0.001. After stratification of high-risk groups by maternal and perinatal pathology the following list of diagnostic and therapeutic measures is introduced and actively implemented in antenatal clinics. To stratificate this model, we prospectively analyze the course and pregnancy outcomes of 100 women divided into 2 groups: group 1 ― 50 women with preterm delivery, group 2 ― 50 women with term delivery. A total score of 25 and above had 44% of women in group 1 and only 10% of women in group 2 (sensitivity 81.4%, specificity 61.6%, positive predictive value 44%, negative predictive value 90%, positive likelihood ratio 2.2 [1.53.0], negative likelihood ratio 0.3 [0.130.68]). Conclusions: We have proposed a model for predicting preterm birth and delivery and perinatal losses using the available characteristics of pregnant women from early pregnancy with moderate indicators of diagnostic value. Further validation of the model in the general population of pregnant women is required.ОбоснованиС. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΠ΅Ρ‚ΡΡ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Π²ΠΊΠ»Π°Π΄Π° ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-дСмографичСских, соматичСских ΠΈ Π°ΠΊΡƒΡˆΠ΅Ρ€ΡΠΊΠΎ-гинСкологичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π² Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ². ЦСль исслСдования ― ΠΎΡ†Π΅Π½ΠΊΠ° значимости ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-дСмографичСских, Π°ΠΊΡƒΡˆΠ΅Ρ€ΡΠΊΠΎ-гинСкологичСских ΠΈ соматичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π² ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΈ ассоциированных с Π½ΠΈΠΌΠΈ нСблагоприятных исходов бСрСмСнности с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΉ Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ прогностичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠšΠΎΠ³ΠΎΡ€Ρ‚Π½ΠΎΠ΅ исслСдованиС со ΡΠΌΠ΅ΡˆΠ°Π½Π½Ρ‹ΠΌΠΈ Π³Ρ€ΡƒΠΏΠΏΠ°ΠΌΠΈ участников. ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡŒ рСтроспСктивная ΠΎΡ†Π΅Π½ΠΊΠ° ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-дСмографичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Π²Ρ€Π΅Π΄Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ²Ρ‹Ρ‡Π΅ΠΊ, соматичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, гинСкологичСской ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, тСчСния ΠΈ исходов бСрСмСнности для Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… Ρƒ 1246 ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с Ρ†Π΅Π»ΡŒΡŽ построСния ΠΌΠΎΠ΄Π΅Π»ΠΈ прогнозирования ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΈ нСблагоприятных исходов бСрСмСнности ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ рСгрСссионного Π°Π½Π°Π»ΠΈΠ·Π° с ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΌ ΡˆΠΊΠ°Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Ρƒ 100 ΠΆΠ΅Π½Ρ‰ΠΈΠ½. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. НаиболСС Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌΠΈ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ, ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΠΌΠΈ риск ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΈ нСблагоприятных исходов бСрСмСнности, оказались ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹ Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅, нСрСгулярноС наблюдСниС Π²ΠΎ врСмя бСрСмСнности, Π²ΠΎΡΠΏΠ°Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ заболСвания ΠΎΡ€Π³Π°Π½ΠΎΠ² ΠΌΠ°Π»ΠΎΠ³ΠΎ Ρ‚Π°Π·Π° Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅, ΠΊΡƒΡ€Π΅Π½ΠΈΠ΅, ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅, Π½Π°Ρ‡Π°Π»ΠΎ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ·Π½ΠΈ Π΄ΠΎ 16 Π»Π΅Ρ‚, сСрдСчно-сосудистыС ΠΈ эндокринныС заболСвания. ΠŸΡ€ΠΈΠ½Π°Π΄Π»Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΊ ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅, Π½Π°ΠΎΠ±ΠΎΡ€ΠΎΡ‚, ΡƒΠΌΠ΅Π½ΡŒΡˆΠ°Π»Π° риск ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΈ ассоциированных с Π½ΠΈΠΌΠΈ нСблагоприятных исходов. Данная прогностичСская модСль продСмонстрировала Π΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΈ подсчСтС 25 ΠΈ Π±ΠΎΠ»Π΅Π΅ Π±Π°Π»Π»ΠΎΠ² модСль ΠΈΠΌΠ΅Π»Π° Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ 73%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ 71%, ΠΏΠ»ΠΎΡ‰Π°Π΄ΡŒ ΠΏΠΎΠ΄ ROC-ΠΊΡ€ΠΈΠ²ΠΎΠΉ (AUC) 0,76 (качСство Ρ…ΠΎΡ€ΠΎΡˆΠ΅Π΅), Ρ€0,001. ПослС стратификации Π³Ρ€ΡƒΠΏΠΏ высокого риска ΠΏΠΎ матСринской ΠΈ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² условиях ТСнской ΠΊΠΎΠ½ΡΡƒΠ»ΡŒΡ‚Π°Ρ†ΠΈΠΈ Π²Π½Π΅Π΄Ρ€Π΅Π½ ΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ проводится ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹ΠΉ ΠΏΠ΅Ρ€Π΅Ρ‡Π΅Π½ΡŒ диагностичСских ΠΈ Π»Π΅Ρ‡Π΅Π±Π½ΠΎ-профилактичСских мСроприятий. Π‘ Ρ†Π΅Π»ΡŒΡŽ стратификации ΠΌΠΎΠ΄Π΅Π»ΠΈ проспСктивно ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΈ исходы бСрСмСнности Ρƒ 100 ΠΆΠ΅Π½Ρ‰ΠΈΠ½, Ρ€Π°Π·Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… Π½Π° 2 Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎ 50 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ, Ρ‡ΡŒΡ Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΡΡ‚ΡŒ Π·Π°ΠΊΠΎΠ½Ρ‡ΠΈΠ»Π°ΡΡŒ ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹ΠΌΠΈ ΠΈΠ»ΠΈ своСврСмСнными Ρ€ΠΎΠ΄Π°ΠΌΠΈ. Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ 1 суммарный Π±Π°Π»Π» 25 ΠΈΠΌΠ΅Π»ΠΈ 44% ΠΆΠ΅Π½Ρ‰ΠΈΠ½, Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ 2 ― Ρ‚ΠΎΠ»ΡŒΠΊΠΎ 10% ΠΆΠ΅Π½Ρ‰ΠΈΠ½ (Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ 81,4%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ 61,6%, ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ прогностичСская Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ 44%, ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Π°Ρ прогностичСская Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ 90%, ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ правдоподобия 2,2 [1,53,0], ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ правдоподобия 0,3 [0,130,68]). Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Нами ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° модСль прогнозирования ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΈ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠΎΡ‚Π΅Ρ€ΡŒ с использованиСм доступных характСристик Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с Ρ€Π°Π½Π½ΠΈΡ… сроков бСрСмСнности с ΡƒΠΌΠ΅Ρ€Π΅Π½Π½Ρ‹ΠΌΠΈ показатСлями диагностичСской значимости. ВрСбуСтся дальнСйшая валидизация ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π° большСй популяции Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… ΠΆΠ΅Π½Ρ‰ΠΈΠ½

    Gender characteristics of the pathogenesis, prevention and treatment of metabolic syndrome [Π“Π΅Π½Π΄Π΅Ρ€Π½Ρ‹Π΅ особСнности ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Π°, ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ ΠΈ лСчСния мСтаболичСского синдрома]

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    Metabolic syndrome (MS) is widespread which explains high relevance of the topic. The MS development depends on various factors (age, race, social and economic status, level of physical activity, cultural development, diet, genetic background and educational level). Traditionally, the MS assessment and cardiovascular risk stratification includes measurement of total cholesterol, triglycerides, high density lipoprotein cholesterol, low density lipoprotein cholesterol, as well as glucose and insulin levels. Some other factors are being investigated and might serve as the surrogate endpoints for the effectiveness of treatment and prevention strategies in addition to insulin resistance indices (HOMA-IR, Caro). These include some systemic biomarkers such as highly sensitive C-reactive protein, leptin and adiponectin, which mediate the link between inflammation and obesity, as well as potentially prognostic markers of cardiovascular diseases. The paper considers the gender specificity of the MS and main components of the MS, such as hypertension, insulin resistance, obesity, and dyslipidemia. We review different approaches of international guidelines and specific regional and national characteristics and analyze gender-related peculiarities of each component of the MS in order to justify an individualized choice of management approach. Β© 2020 All-Russian Public Organization Antihypertensive League. All rights reserved

    Analysis of approaches to treating seasonal allergic rhinitis in pregnant women

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    Approximately 20-30% of reproductive-aged women suffer from seasonal allergic rhinitis, the uncontrolled course of which during pregnancy can not only worsen the quality of life and the course of comorbidities, but also give rise to maternal and fetal hypoxia. Objective. To analyze approaches to treating seasonal allergic rhinitis in pregnant women. Subjects and methods. An anonymous questionnaire survey of physicians (332 therapists and 734 obstetricians/ gynecologists) was conducted within the study β€œEpidemiology of Medication Use in Pregnant Women” (Stage 2); the clinical guidelines of foreign and Russian professional societies for this problem were analyzed. Results. The physicians rarely indicated topical steroids (8.4%); first-generation antihistamines were the leaders (29.7%); the physicians less often indicated second-generation drugs, such as loratadine (13.8%) and cetirizine (10.7%). Conclusion. In accordance with the guidelines, the approach to treating allergic rhinitis in pregnant women should be the same as applied to other patients; an important part is assigned to nondrug therapies. By taking into account the high prevalence of this disease, it is appropriate to do educational work on this problem among physicians. Β© Bionika Media Ltd

    Analysis of approaches to treating seasonal allergic rhinitis in pregnant women

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    Approximately 20-30% of reproductive-aged women suffer from seasonal allergic rhinitis, the uncontrolled course of which during pregnancy can not only worsen the quality of life and the course of comorbidities, but also give rise to maternal and fetal hypoxia. Objective. To analyze approaches to treating seasonal allergic rhinitis in pregnant women. Subjects and methods. An anonymous questionnaire survey of physicians (332 therapists and 734 obstetricians/ gynecologists) was conducted within the study β€œEpidemiology of Medication Use in Pregnant Women” (Stage 2); the clinical guidelines of foreign and Russian professional societies for this problem were analyzed. Results. The physicians rarely indicated topical steroids (8.4%); first-generation antihistamines were the leaders (29.7%); the physicians less often indicated second-generation drugs, such as loratadine (13.8%) and cetirizine (10.7%). Conclusion. In accordance with the guidelines, the approach to treating allergic rhinitis in pregnant women should be the same as applied to other patients; an important part is assigned to nondrug therapies. By taking into account the high prevalence of this disease, it is appropriate to do educational work on this problem among physicians. Β© Bionika Media Ltd

    Structural and electronic properties of Na/Cu(111) at different coverages by first principles

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    Nanostructures are presently enjoying an increasing interest in the field of materials science. In particular, importance is given to ordered monolayers prepared by deposition of atoms on a crystalline surface. The growth of these superlattices can be controlled so as to obtain an ordered structure by means of the lateral interaction of adatoms lying on the metal surface. The objective of our study is to investigate the structural and electronic properties using DFT total-energy calculations; we employ a jellium-like model to describe the substrate but we also take into account the presence of discrete surface states that are known to affect the lateral interaction. Our treatment of the substrate is based on the model proposed by E.V. Chulkov etΒ al. [Surf. Sci. 437, 330 (1999)]; in this model one constructs a mono-dimensional potential so as to reproduce some important electronic properties of the metal surface, such as i) the energy gap in the projected bulk band-structure and ii) the energy position of surface states. We put into practice Chulkov potential implementing into an existing plane-waves code (ABINIT, URL http://www.abinit.or
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