38 results on '"E. S. Melnikov"'
Search Results
2. Experience of Using Therapeutic Drug Monitoring to Control the Safety of Vancomycin in Intensive Care Unit Patients with Sepsis
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A. B. Prokofiev, S. A. Belkov, R. E. Kazakov, N. G. Berdnikova, T. A. Rodina, E. S. Melnikov, A. A. Danko, N. E. Voronova, R. Z. Vafina, A. V. Zavtoniev, D. V. Tsyganko, and E. Yu. Demchenkova
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vancomycin ,clinical case ,toxic nephropathy ,sepsis ,therapeutic drug monitoring ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Vancomycin is prescribed to patients in serious condition with infections caused by Gram-positive microorganisms; however, if the therapeutic plasma concentration of the medicinal product is exceeded, it can have a nephrotoxic effect.The aim of the study was to demonstrate the possibility of using therapeutic drug monitoring (TDM) to reduce the risk of developing nephropathy in intensive care unit patients with sepsis.Materials and methods: the study comprised a retrospective analysis of four clinical cases of patients with sepsis admitted to intensive care units of I.V. Davydovsky City Clinical Hospital in 2021 and treated with vancomycin. TDM of vancomycin plasma levels was performed by reverse-phase high-performance liquid chromatography with mass spectrometric detection.Results: using the four cases of septic patients, the study demonstrated that vancomycin at adequate case-specific doses may result in plasma concentrations beyond the therapeutic range. TDM of vancomycin concentrations helped to prevent further deterioration of renal dysfunction in one septic patient having developed acute kidney injury and to control the achievement of therapeutic vancomycin concentrations or timely adjust the dose to that effect in the other three cases.Conclusions: a timely correction of vancomycin dosing with plasma TDM allows for achieving high antimicrobial efficacy in patients with sepsis and minimising the nephrotoxic effect of the medicinal product. Studies of the feasibility of using TDM as a treatment personalisation tool for patients in serious condition will continue in the future.
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- 2022
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3. Clinical features of post-COVID period. Results of an International Register 'Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (ACTIV SARS-CoV-2)' (12-month follow-up)
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G. P. Arutyunov, E. I Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanav, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Sh'ukarev, A. K. Abdrakhmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V Genkel, D. B. Giller, E. I. Gorshenina, E. V. Grigorieva, E. U. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. U. Ivanova, E. U. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Koliadich, O. V. Kondriakova, M. P. Konoval, D. U. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. U. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. U. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. U. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Maiseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. U. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A. Pavlova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofeva, J. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, I. V. Samus, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortcova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. U. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. U. Shishkov, S. U. Sherbakov, G. V. Shcherbakova, and E. A. Yausheva
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covid-19 ,post-covid period ,readmissions ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Aim. To investigate on post-COVID period in patients of the Eurasian region.Material and methods. A total of 9364 consecutively hospitalized patients were included in ACTIV registry. Enrollment of patients began on June 29, 2020, and was completed on March 30, 2021, corresponding to the first and second waves of the pandemic. Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. The design included follow-up telephone interviews with a standard questionnaire at 3, 6, and 12 months to examine the course of post-COVID period.Results. According to ACTIV register, 63% of patients after COVID-19 had new adverse symptoms or exacerbations of the existing symptoms lasting for up to 1 year. After hospital discharge, 79,8% of patients sought unscheduled medical attention in the first 3 months, 79,1% at 4-6 months, and 64,8% at 7-12 months. Readmission rate was 11,8% in the first 3 months, 10,9% at 4-6 months, and 10,1% at 7-12 months. The most common reasons for unscheduled treatment in the first 3 months were uncontrolled hypertension, decompensated type 2 diabetes, destabilization of coronary artery disease, gastrointestinal disease, AF episodes, exacerbation of asthma and chronic obstructive pulmonary disease, decompensated heart failure (HF). The 12-month mortality of COVID-19 survivors after the discharge was 3,08%. Multivariate analysis showed that independent risk factors for fatal outcome were age (direct correlation), the levels of hemoglobin (inverse correlation), oxygen saturation (inverse correlation), and aspartate aminotransferase (direct correlation), as well as class III-IV HF, prior stroke, cancer, inhospital acute kidney injury. Based on these identified risk factors, a nomogram was constructed to determine the 3-month mortality risk after discharge.Conclusion. Analysis of ACTIV register showed that end of the acute phase of COVID-19 does not imply a complete recovery.
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- 2023
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4. Lipid profile in hospitalized patients with COVID-19 depending on the outcome of its acute phase: data from the international registry 'Dynamics analysis of comorbidities in SARS-CoV-2 infection survivors'
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, G. G. Airapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateyshchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, O. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Aiypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchaeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Galova, V. V. Genkel, D. B. Giller, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilyina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, J. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. P. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A. Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, Yu. V. Titoikina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu Shishkov, S. Yu. Shcherbakov, G. V. Shcherbakova, and E. A. Yausheva
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covid-19 ,low density lipoproteins ,cholesterol ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Aim. To study the lipid profile in hospitalized patients with coronavirus disease 2019 (COVID-19) depending on the outcome of its acute phase according to the AKTIV international registry.Material and methods. The AKTIV registry included men and women over 18 years of age with a diagnosis of COVID-19, who were treated in a hospital. A total of 9364 patients were included in the registry, of which 623 patients were analyzed for levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C) and triglycerides on days 1-2 of hospitalization. The level of high-density lipoprotein cholesterol (HDL-C) was calculated using the Friedewald equation.Results. We found that a decrease in LDL-C level was significantly associated with an unfavorable prognosis for hospitalized patients with COVID-19. This pattern persisted in both univariate and multivariate analyses. LDL-C levels in the final multivariate model had a significant relationship with the prognosis (an increase in the death risk by 1,7 times with a decrease per 1 mmol/l). In addition, we found that the survival of patients with an indicator level of
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- 2022
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5. Chemical and Toxicological Diagnosis of Acute Poisoning with Clozapine, Olanzapine, Quetiapine and Risperidone
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M. V. Belova, E. A. Klyuyev, E. S. Melnikov, and M. N. Poryadina
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clozapine ,olanzapine ,quetiapine ,risperidone ,atypical antipsychotics ,acute poisoning ,tlc, hplc-ms/ms ,gc-ms ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Relevance The large number of atypical antipsychotic drugs on the market , the breadth of their medical and non-medical use, and their relative affordability make atypical antipsychotics common causes of overdose, suicidal actions or non-medical use of drugs. At the same time, they remain insufficiently studied from the chemical and toxicological point of veiw.Aim od study: creation of available express method of detection of clozapine, olanzapine, quetiapine and risperidone in the urine of patients with acute poisoning.Material and methods Thin layer chromatography (TLC), gas chromatography with mass selective detection (GC-MS), and high performance liquid chromatography with mass selective detection (HPLC-MS/MS) were used. The preparation of intact urine samples with addition of standard solutions of clozapine, olanzapine, quetiapine, risperidone and urine samples of patients with symptoms of acute poisoning with given drugs was carried out by methods of liquid-liquid extraction at alkaline pH values for TLC chloroform, a mixture of ethyl acetate-diethyl ether (1:1) for GC-MS and acetonitrile for HPLC-MS/MS.Results A TLC method has been developed to detect clozapine, olanzapine, quetiapine and risperidone, which allows its the presence to be quickly revealed in the patient’s urine at the preliminary examination stage and also distinguish them from each other in case of the same type of symptoms of poisoning. For confirmatory analysis, it is advisable to use the methods of HPLC-MS/MS and GC-MS. Compared to confirmatory methods, the developed TLC-screening technique is expressive, does not require the use of expensive high-tech equipment and allows clozapine, olanzapine, quetiapine and risperidone to be differentiated from other toxicologically significant psychoactive substances found in general screening.
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- 2020
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6. Investigation of the Chemical Composition and Dopaminergic Activity of the Vitex Agnus-castus Fruits
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G. V. Adamov, E. S. Melnikov, I. A. Lupanova, A. I. Radimich, and O. L. Saybel
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витекс священный ,агнузид ,вэжх-мс/мс ,дофаминергическое действие ,Pharmaceutical industry ,HD9665-9675 - Abstract
Introduction. Vitex agnus-castus is an important plant in medicine. Extract from its fruits is used as part of drugs for the treatment of premenstrual syndrome.Aim. To study the chemical composition of water-ethanol extract from Vitex fruits, to establish the dopaminergic activity of various extract fractions separated by lipophilicity, as that of its dominant iridoid-agnusideMaterials and methods. The composition of water-ethanol extraction was studied using HPLC-UV and HPLC-MS/MS methods. Identification of the extract components was performed by comparing the retention times on the chromatograms of the test and standard samples. The extract and its fractions were analyzed in vitro using the tyrosine hydroxylase biotest system. Cyclodinone® (oral drops, Vitex agni casti fructuum extract) was used as a reference drug.Results and discussion. Protocatechuic acid, chlorogenic acid, p-hydroxybenzoic acid, agnuside, mizodendron, 6'-O-p-hydroxybenzoylmusaenoside acid, luteolin-7-glucoside, 5-O-caffeoylquinic acid, vitexin, luteolin, apigenin, maslinic acid, corosolic acid and linolenic acid were identified. The liquid extract obtained in the laboratory showed the same activity as Cyclodinone®, ethyl acetate fraction, and agnuside.Conclusion. This work is the most extensive study of the vitex fruit in relation to the nomenclature of identified compounds. The total extract was shown to be more active than any of its fractions proving the synergistic effect of the extract components on the dopamine neurotransmitter system. This observation justifies the feasibility of using the total extract of the vitex fruit. In vitro agnuside demonstrates high dopaminergic activity. This makes it possible to standardize the extract and medicinal plant materials according to the agnuside content.
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- 2020
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7. Therapeutic Drug Monitoring, CYP2C9 Genotyping and Phenotyping in the Treatment of Diabetes with Glibenclamide Products
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G. I. Gorodetskaya, V. V. Arkhipov, E. S. Melnikov, and T. A. Rodina
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glibenclamide ,diabetes mellitus ,genotyping ,phenotyping ,cyp2c9 ,hplc-ms ,therapeutic drug monitoring ,Medicine (General) ,R5-920 - Abstract
Rational use of glybenclamide products in the treatment of patients with type 2 diabetes remains a high-priority task. The paper offers a summary of the main groups of glibenclamide drugs and describes pharmacogenetics of glybenclamide. Glibenclamide is metabolized by the enzyme cytochrome P450 2C9 (CYP2C9). Individuals with genetically determined low CYP2C9 activity are at an increased risk of hypoglycaemia. Carriers of CYP2C9*3 and CYP2C9*2 alleles tend to have higher concentrations of glybenclamide in blood and increased insulin secretion. Pharmacogenetic testing of patients and drug concentration monitoring using HPLC-MS can help reduce the risk of hypoglycemia during glibenclamide treatment. Based on literature review the authors selected the method characterised by a simple sample preparation procedure, short analysis time, and a wide analytical range for the substances being determined. This method can be useful both for bioequivalence studies and evaluation of glibenclamide products interchangeability. Glibenclamide pharmacokinetics is characterised by high interindividual variability. This may lead to both an increased risk of hypoglycemia and drug inefficacy, therefore, when prescribing glibenclamide, a physician should carefully control the efficacy and safety of drug therapy.
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- 2020
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8. Clinical features of post-COVID-19 period. Results of the international register 'Dynamic analysis of comorbidities in SARS-CoV-2 survivors (AKTIV SARS-CoV-2)'. Data from 6-month follow-up
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanau, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Shchukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barisheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, I. A. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. K. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, A. O. Myshak, E. S. Nekaeva, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, D. V. Soloveva, I. A. Soloveva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Yu. Sherbakov, and E. A. Yausheva
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covid-19 ,aktiv register ,cardiovascular diseases ,diabetes ,postcovid-19 period ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Aim. To study the clinical course specifics of coronavirus disease 2019 (COVID-19) and comorbid conditions in COVID-19 survivors 3, 6, 12 months after recovery in the Eurasian region according to the AKTIV register. Material and methods.The AKTIV register was created at the initiative of the Eurasian Association of Therapists. The AKTIV register is divided into 2 parts: AKTIV 1 and AKTIV 2. The AKTIV 1 register currently includes 6300 patients, while in AKTIV 2 — 2770. Patients diagnosed with COVID-19 receiving in- and outpatient treatment have been anonymously included on the registry. The following 7 countries participated in the register: Russian Federation, Republic of Armenia, Republic of Belarus, Republic of Kazakhstan, Kyrgyz Republic, Republic of Moldova, Republic of Uzbekistan. This closed multicenter register with two nonoverlapping branches (in- and outpatient branch) provides 6 visits: 3 in-person visits during the acute period and 3 telephone calls after 3, 6, 12 months. Subject recruitment lasted from June 29, 2020 to October 29, 2020. Register will end on October 29, 2022. A total of 9 fragmentary analyzes of the registry data are planned. This fragment of the study presents the results of the post-hospitalization period in COVID-19 survivors after 3 and 6 months. Results. According to the AKTIV register, patients after COVID-19 are characterized by long-term persistent symptoms and frequent seeking for unscheduled medical care, including rehospitalizations. The most common causes of unplanned medical care are uncontrolled hypertension (HTN) and chronic coronary artery disease (CAD) and/or decompensated type 2 diabetes (T2D). During 3- and 6-month follow-up after hospitalization, 5,6% and 6,4% of patients were diagnosed with other diseases, which were more often presented by HTN, T2D, and CAD. The mortality rate of patients in the post-hospitalization period was 1,9% in the first 3 months and 0,2% for 4-6 months. The highest mortality rate was observed in the first 3 months in the group of patients with class II-IV heart failure, as well as in patients with cardiovascular diseases and cancer. In the pattern of death causes in the post-hospitalization period, following cardiovascular causes prevailed (31,8%): acute coronary syndrome, stroke, acute heart failure. Conclusion. According to the AKTIV register, the health status of patients after COVID-19 in a serious challenge for healthcare system, which requires planning adequate health system capacity to provide care to patients with COVID-19 in both acute and post-hospitalization period.
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- 2021
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9. Rehabilitation after COVID-19. Resolution of the International Expert Council of the Eurasian Association of Therapists and the Russian Society of Cardiology
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A. G. Arutyunov, P. Seferovic, I. G. Bakulin, N. V. Bakulina, M. M. Batyushin, M. V. Boldina, G. Krstačić, Dj. Macut, V. V. Salukhov, T. Shimosawa, V. V. Shustov, E. I. Tarlovskaya, B. Vrtovec, C. Wanner, Z. R. Aisanov, G. P. Arutyunov, S. N. Avdeev, A. P. Babin, M. Cattaneo, A. I. Chesnikova, M. V. Ezhov, U. K. Kamilova, N. A. Koziolova, Yu. M. Lopatin, N. P. Mitkovskaya, J. Morais, G. R. Galstyan, A. Sh. Sarybaev, A. B. Sugraliev, I. S. Yavelov, A. M. Essaian, I. A. Zolotovskaya, Sh. B. Zhangelova, S. K. Zyryanov, E. S. Melnikov, R. A. Bashkinov, and E. V. Shlyakhto
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covid-19 ,post-covid-19 syndrome ,expert council ,eurasian association of therapists ,russian society of cardiology ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
By the middle of 2021, the official global number of coronavirus disease 2019 (COVID-19) patients was close to 230 million, but the number accounting for asymptomatic patients was much higher. Consequences and rehabilitation after COVID-19 are of particular interest and raise many controversial and unresolved issues. On May 18, 2021, the Eurasian Association of Therapists organized an international panel of experts to analyze challenges associated with the post-COVID-19 period. This panel aimed to develop approaches to identify gaps in the discussed issues. This interdisciplinary team of leading experts reviewed the current literature and presented their data to formulate practical guidance on management of patients after COVID-19. The panel of experts also presented recommendations on how to implement the gained knowledge into health care practices.
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- 2021
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10. International register 'Dynamics analysis of comorbidities in SARS-CoV-2 survivors' (AKTIV SARS-CoV-2): analysis of predictors of short-term adverse outcomes in COVID-19
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Y. N. Belenkov, A. O. Konradi, Y. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. U. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Y. Badina, O. Yu. Barisheva, A. S. Batchayeva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, L. A. Burygina, G. A. Bykova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, R. V. Gostishev, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, I. A. Duvanov, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, O. V. Karpov, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Y. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. V. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, M. E. Levin, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, L. A. Smirnova, D. V. Soloveva, I. A. Soloveva, F. M. Sokhova, A. K. Subbotin, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, A. A. Tulichev, D. I. Tupitsin, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, L. D. Shakhgildyan, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Y. Sherbakov, and E. A. Yausheva
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aktiv register ,covid-19 ,multimorbidity ,mortality predictors ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
The international AKTIV register presents a detailed description of out- and inpatients with COVID-19 in the Eurasian region. It was found that hospitalized patients had more comorbidities. In addition, these patients were older and there were more men than among outpatients. Among the traditional risk factors, obesity and hypertension had a significant negative effect on prognosis, which was more significant for patients 60 years of age and older. Among comorbidities, CVDs had the maximum negative effect on prognosis, and this effect was more significant for patients 60 years of age and older. Among other comorbidities, type 2 and 1 diabetes, chronic kidney disease, chronic obstructive pulmonary disease, cancer and anemia had a negative impact on the prognosis. This effect was also more significant (with the exception of type 1 diabetes) for patients 60 years and older. The death risk in patients with COVID-19 depended on the severity and type of multimorbidity. Clusters of diseases typical for deceased patients were identified and their impact on prognosis was determined. The most unfavorable was a cluster of 4 diseases, including hypertension, coronary artery disease, heart failure, and diabetes mellitus. The data obtained should be taken into account when planning measures for prevention (vaccination priority groups), treatment and rehabilitation of COVID-19 survivors.
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- 2021
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11. International register 'Dynamics analysis of comorbidities in SARS-CoV-2 survivors' (AKTIV) and the register 'Analysis of hospitalizations of comorbid patients infected during the second wave of SARS-CoV-2 outbreak' (AKTIV 2)
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Y. N. Belenkov, A. O. Konradi, Y. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, l. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. U. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Sсhukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Y. Badina, O. Yu. Barisheva, A. S. Batchayeva, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, L. A. Burygina, G. A. Bykova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, I. A. Duvanov, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, O. V. Karpov, M. Kh. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Y. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, M. E. Levin, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, L. A. Smirnova, D. V. Soloveva, I. A. Soloveva, F. M. Sokhova, A. K. Subbotin, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, A. A. Tulichev, D. I. Tupitsin, A. T. Tursunova, A. A. Tiurin, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, L. D. Shakhgildyan, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Y. Sherbakov, and E. A. Yausheva
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sars-cov-2 ,registry ,covid-19 ,comorbidity ,risk ,multimorbidity ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
The organizer of the registers “Dynamics analysis of comorbidities in SARSCoV-2 survivors” (AKTIV) and “Analysis of hospitalizations of comorbid patients infected during the second wave of SARS-CoV-2 outbreak” (AKTIV 2) is the Eurasian Association of Therapists (EAT). Currently, there are no clinical registries in the Eurasian region designed to collect and analyze information on long-term outcomes of COVID-19 survivors with comorbid conditions. The aim of the register is to assess the impact of a novel coronavirus infection on long-term course of chronic non-communicable diseases 3, 6, 12 months after recovery, as well as to obtain information on the effect of comorbidity on the severity of COVID-19. Analysis of hospitalized patients of a possible second wave is planned for register “AKTIV 2”. To achieve this goal, the register will include men and women over 18 years of age diagnosed with COVID-19 who are treated in a hospital or in outpatient basis. The register includes 25 centers in 5 federal districts of the Russian Federation, centers in the Republic of Armenia, the Republic of Kazakhstan, the Republic of Kyrgyzstan, the Republic of Belarus, the Republic of Moldova, and the Republic of Uzbekistan. The estimated capacity of the register is 5400 patients.
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- 2021
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12. Development and Validation of HPLC-MS/MS Method for Busereline Quantitation in Animal Blood Plasma
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E. N. Fisher, E. S. Melnikov, and I. Е. Shohin
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пептиды ,бусерелин ,фармакокинетика ,вэжх-мс/мс ,аналог гонадотропин-рилизинг гормона ,валидация ,Pharmaceutical industry ,HD9665-9675 - Abstract
Introduction. Busereline, being a synthetic gonadotropin-releasing hormone analog, is widely used for hormone-dependent cancer treatment (e.g. prostate cancer and breast cancer). Based on the accumulated scientific data for busereline quantitation in biosamples, the main analytical method that is used for this purpose is high-performance liquid chromatography (HPLC) with fluorescence detection, combined with protein precipitation (TCA 10%) for sample preparation. However, due to several limitations of this method resulting in low sensitivity (at the µg/mL level of concentrations), the HPLC-MS/MS analytical method was chosen for peptide determination in biosamples. The HPLC-MS/MS method is considered to have higher accuracy and specificity. The main sample preparation method for gonadotropin-releasing hormone analogs is solid-phase extraction. In our work, we’ve chosen protein precipitation as an alternative – easier and less laborious biosamples preparation process.Aim. The main objective of this study was the development and validation of HPLC-MS/MS method for busereline quantitation in animal (mini pigs) plasma samples and its further application to pharmacokinetic studies.Materials and methods. Busereline quantitative determination in plasma samples was performed using HPLC-MS/MS method. A protein precipitation procedure (methanol, 1:2, v/v) was used for busereline extraction from pig plasma.Results and discussion. The developed analytical method was validated for selectivity, linearity, matrix effect, accuracy (intra-day, inter-day), precision (intra-day, inter-day), LLOQ, carryover and stability.Conclusion. A new HPLC-MS/MS method for busereline quantitation in blood plasma was developed and successfully validated. The developed method showed linearity over the quantitation range from 1 to 20 ng/mL. The developed method can be successfully applied to busereline pharmacokinetic studies.
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- 2019
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13. Development and Validation of Tadalafil Determination in Human Plasma by HPLC-MS Method
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D. S. Bogdanova, T. N. Komarov, I. E. Shohin, E. S. Melnikov, O. A. Miskiv, and Yu. V. Medvedev
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тадалафил ,плазма ,вэжх-мс ,количественное определение ,валидация ,биоэквивалентность ,Pharmaceutical industry ,HD9665-9675 - Abstract
Introduction. Tadalafil is a drug used to treat erectile dysfunction. For the quantitative determination of tadalafil in human plasma are used methods of high performance liquid chromatography with ultraviolet and tandem mass spectrometric detection, during the analytical part of pharmacokinetic studies. In the majority of the considered methods the method of liquid-liquid extraction and the method of solid-phase extraction are used, these methods are difficult and expensive. Therefore, the method of protein precipitation was considered as sample preparation. This method is simple and there is important to analysis a lot of clinical samples in bioequivalence studies.Aim. The aim of this study is to develop method for the quantitative determination of tadalafil in human plasma by HPLC-MS for the analytical part of pharmacokinetic studies.Materials and methods. Quantitative determination of tadalafil in plasma by HPLC-MS. A sample was prepared using acetonitrile protein precipitation.Results and discussion. This method was validated by next validation parameters: selectivity, matrix effect, calibration curve, accuracy, precision, lower limit of quantification, carry-over and stability.Conclusion. The method of the quantitative determination of tadalafil in human plasma was developed and validated by HPLC-MS. The analytical range of the was 5,00–1000,00 ng/ml tadalafil in plasma. Method could be applied to determination of tadalafil in plasma for PK and BE studies.
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- 2019
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14. THE IMPACT OF CARDIOVASCULAR AND BRONCHOPULMONARY DISEASES ON COENZYME Q10 PLASMA CONCENTRATION
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V. I. Zozina, E. S. Melnikov, L. M. Krasnykh, O. A. Goroshko, and V. G. Kukes
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coenzyme q10 ,cardiovascular diseases ,pulmonary diseases ,antioxidant ,Medicine (General) ,R5-920 - Abstract
Introduction. Coenzyme Q10 plays an important role in the human body. Its main function is not only the transfer of electrons in the mitochondrial respiratory chain for the ATP synthesis, but it is also one of the most powerful antioxidants in the body.The aim of research is to monitor the relationship between cardiovascular and pulmonary diseases, and the concentration of coenzyme Q10 in the blood plasma.Materials and methods. Coenzyme Q10 was determined using high performance liquid chromatography with mass spectrometric detection.Results and discussion. During the study, it was found that the concentration of coenzyme Q10 in plasma is affected not only by the main diseases, but also by comorbidities, as well as by the therapy. A sharp decrease in plasma coenzyme Q10 concentration was noted in patients with cardiovascular pathologies, especially in those with concomitant endocrine diseases. Also, it was recorded a decrease in the concentration of coenzyme Q10 in the plasma of patients with pneumonia. Conclusion. During the experiment, the coenzyme Q10 concentration was found to be dependent on cardiovascular and pulmonary diseases.
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- 2019
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15. Chemical and Toxicological Diagnosis of Acute Poisonings with Phenazepam
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M. V. Belova, E. A. Klyuyev, E. S. Melnikov, and D. M. Yeliseyeva
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phenazepam ,acute poisoning ,thin-layer chromatography ,immune analysis ,hplc-ms/ms ,gc-ms ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Background. The relative availability of Phenazepam makes it a frequent cause of overdose, suicide and non-medical use. At the same time, it remains insufficiently studied in chemical and toxicological terms.The aim of study. to create an accessible, rapid method for detecting Phenazepam in biological matrices of patients with acute poisoning.Materials and methods. We used thin-layer chromatography (TLC), gas chromatography with a mass selective detector (GC-MS), high performance liquid chromatography with a tandem mass-selective detector (LC-MS/MS) and immunochromatographic analysis (ICA). The preparation of samples of intact urine with the addition of standard solutions of Phenazepam and real urine samples of patients with acute poisoning with Phenazepam was carried out using liquid-liquid extraction or precipitation of related components of the sample with acetonitrile. Hydrolysis and derivatization were also added in GC-MS analysis.Results. The analysis of statistics of the Department of Acute Poisonings of the N.V. Sklifosovsky Research Institute for Emergency Medicine in 2014-2016 showed that Phenazepam poisonings averaged 9.2% of the total number of admissions and mainly occurred as suicidal attempts. A technique has been developed for the detection of Phenazepam by TLC, which gives more objective results than ICA. For confirmatory analysis, it is advisable to use LC-MS/MS method for the native substance and GC-MS for the products of hydrolysis after derivatization. Compared to confirmatory methods, the developed TLC-screening technique is expressive, does not require the use of expensive high-tech equipment, difficult sample preparation, and makes it possible to reliably detect toxic and lethal concentrations of Phenazepam.
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- 2019
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16. DETERMINATION OF CAPECITABINE AND ITS ACTIVE METABOLITE 5-FLUOROURACIL IN BLOOD PLASMA BY HPLC-MS/MS
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E. S. Melnikov, I. E. Shohin, A. A. Aksenov, G. V. Adamov, and A. N. Konyushkova
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капецитабин ,вэжх-мс/мс ,Pharmaceutical industry ,HD9665-9675 - Abstract
A method for quantification of capecitabine and 5-fluorouracil in human plasma was developed. The sample preparation was carried out by protein precipitation with methanol. The quantitative determination was performed by HPLC with a triple quadrupole mass-detector. The method was validated in terms of selectivity, calibration curve, accuracy, precision, lower limit of quantification, and stability. The analytical range was 10.0-20000.0 ng/mL for capecitabine and 10.0-400.0 ng/ml for 5-fluorouracil. The developed method may be used for bioequivalence studies of capecitabine drug products.
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- 2019
17. EXPRESS METHOD FOR DETERMINATION OF ENALAPRIL AND ENALAPRILAT IN HUMAN SERUM BY HPLC-MS/MS
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T. A. Rodina, E. S. Melnikov, S. A. Belkov, A. V. Sokolov, A. B. Prokofiev, and A. S. Sivkov
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эналаприл ,эналаприлат ,вэжх-мс/мс ,терапевтический лекарственный мониторинг ,биоэквивалентность ,взаимозаменяемость ,Pharmaceutical industry ,HD9665-9675 - Abstract
The express method for simultaneous determination of enalapril and enalaprilat in human serum using HPLC-MS/MS is proposed. A simple sample preparation procedure, short analysis time, and a wide analytical range for both analytes (5.00 to 250.00 ng/mL) characterize this method. This technique is useful for carrying out routine research, such as therapeutic drug monitoring, bioequivalence studies and evaluation of the interchangeability of enalapril drug products.
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- 2019
18. DEVELOPMENT AND VALIDATION OF MOXIFLOXACIN DETERMINATION IN HUMAN PLASMA BY HPLC-UV METHOD
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T. N. Komarov, Yu. V. Medvedev, I. E. Shohin, Yu. E. Boldina, A. A. Lvova, E. S. Melnikov, E. N. Fisher, R. V. Ivanov, and R. J. Maksvitis
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моксифлоксацин ,плазма ,вэжх-уф ,Pharmaceutical industry ,HD9665-9675 - Abstract
A new method for determination of moxifloxacin in human plasma using HPLC with UV-detection is described. The sample preparation was made by protein precipitation by 50% trifluoracetic acid solution. The method was validated in terms of selectivity, calibration curve, accuracy, precision, lower limit of quantification, carry-over and stability. The analytical range was 100-5000 ng/mL. Limit of determination was 31 ng/mL. Method could be applied to moxifloxacin determination in plasma for PK and BE studies.
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- 2019
19. International register 'Dynamics analysis of comorbidities in SARS-CoV-2 survivors' (AKTIV SARS-CoV-2): analysis of 1,000 patients
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Y. N. Belenkov, A. O. Konradi, Y. M. Lopatin, S. N. Tereshchenko, A. P. Rebrov, A. I. Chesnikova, I. V. Fomin, N. V. Grigorieva, M. V. Boldina, A. R. Vaisberg, A. S. Blagonravova, E. V. Makarova, I. I. Shaposhnik, T. Yu. Kuznetsova, S. V. Malchikova, D. N. Protsenko, A. V. Evzerikhina, M. M. Petrova, I. V. Demko, D. V. Saphonov, H. G. Hayrapetyan, A. S. Galyavich, Z. F. Kim, A. B. Sugraliev, S. V. Nedogoda, V. V. Tsoma, S. A. Sayganov, V. V. Gomonova, I. V. Gubareva, A. Sh. Sarybaev, E. V. Koroleva, O. E. Vilkova, I. Y. Fomina, I. A. Pudova, D. V. Soloveva, N. V. Kiseleva, N. V. Zelyaeva, I. M. Kouranova, V. A. Pogrebetskaya, F. N. Muradova, O. Y. Badina, O. V. Kovalishena, E. A. Galova, S. S. Plastinina, N. A. Lyubavina, N. N. Vezikova, V. I. Levankova, S. Yu. Ivanova, A. N. Ermilova, R. G. Muradyan, R. V. Gostishev, E. P. Tikhonova, T. Y. Kuzmina, I. A. Soloveva, A. Yu. Kraposhina, M. I. Kolyadich, T. P. Kolchinskaya, V. V. Genkel, A. S. Kuznetsova, M. V. Kazakovtseva, A. A. Odegova, T. I. Chudinovskikh, S. V. Baramzina, N. A. Rozanova, A. Sh. Kerimova, N. A. Krivosheina, S. Y. Chukhlova, A. A. Levchenko, H. G. Avoyan, K. K. Azarian, Sh. N. Musaelian, S. A. Avetisian, M. E. Levin, O. V. Karpov, F. M. Sokhova, L. A. Burygina, T. V. Sheshina, A. A. Tiurin, O. Yu. Dolgikh, E. V. Kazymova, D. Yu. Konstantinov, O. A. Chumakova, O. V. Kondriakova, K. Yu. Shishkov, T. S. Fil, N. A. Prokofeva, M. P. Konoval, A. A. Simonov, A. M. Bitieva, N. A. Trostianetckaia, M. B. Cholponbaeva, Zh. B. Kerimbekova, M. Y. Duyshobayev, A. Ch. Akunov, N. A. Kushubakova, E. S. Melnikov, E. S. Kim, S. Y. Sherbakov, D. A. Trofimov, D. S. Evdokimov, D. A. Ayipova, I. A. Duvanov, A. K. Abdrahmanova, G. T. Aimakhanova, Sh. O. Ospanova, G. M. Dabylova, A. T. Tursunova, D. S. Xaskaeva, A. A. Tulichev, E. Yu. Ashina, V. A. Kordukova, O. Yu. Barisheva, K. E. Egorova, D. D. Varlamova, T. V. Kuprina, E. V. Pahomova, N. Yu. Kurchugina, I. A. Frolova, K. V. Mazalov, A. K. Subbotin, N. A. Kamardina, N. V. Zarechnova, E. M. Mamutova, L. A. Smirnova, A. V. Klimova, L. D. Shakhgildyan, D. S. Tokmin, D. I. Tupitsin, T. V. Kriukova, N. A. Rakov, and D. S. Polyakov
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aktiv register ,sars-cov-2 ,covid-19 ,multimorbidity ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
COVID-19 is a severe infection with high mortality. The concept of the disease has been shaped to a greater extent on the basis of large registers from the USA, Spain, Italy, and China. However, there is no information on the disease characteristics in Caucasian patients.Therefore, we created an international register with the estimated capacity of 5,000 patients — Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (AKTIV SARS-CoV-2), which brought together professionals from the Russian Federation, Republic of Armenia, Republic of Kazakhstan, and Kyrgyz Republic. The article presents the first analysis of the register involving 1,003 patients. It was shown that the most significant difference of the Caucasian population was the higher effect of multimorbidity on the mortality risk vs other registers. More pronounced effect on mortality of such diseases as diabetes, obesity, hypertension, chronic kidney disease, and age over 60 years was also revealed.
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- 2020
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20. Method of simultaneous determination of carbamazepine and carbamazepine-10,11-epoxide by HPLC-MS/MS
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T. A. Rodina, E. S. Melnikov, A. V. Sokolov, A. B. Prokofiev, V. V. Arkhipov, G. V. Adamov, D. L. Pozdnyakov, and Yu. V. Olefir
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carbamazepine ,carbamazepine-10,11-epoxyde ,therapeutic drug monitoring ,trigeminal neuralgia ,hplc-ms/ms ,карбамазепин ,карбамазепин-10,11-эпоксид ,терапевтический лекарственный мониторинг ,невралгия тройничного нерва ,вэжх-мс/мс ,Medicine (General) ,R5-920 - Abstract
Carbamazepine is the drug of first choice in the treatment of trigeminal neuralgia, epilepsy and other neurological diseases. Carbamazepine is known to have a narrow therapeutic range, and hereby the auto-induction of its metabolism with prolonged use cause the reduction of its therapeutic efficacy. Phenotyping of patients by the rate of carbamazepine metabolism allows to perform individual drug dose adjustment and to avoid the occurrence of adverse drug effects. In order to implement the mentioned approach, the method for simultaneous determination of carbamazepine and carbamazepine-10,11-epoxide in human serum using HPLC-MS/MS was developed.
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- 2018
21. Impact of Kidney Damage on the Course and Prognosis of COVID-19 Infection According to the International Registry «Analysis of Chronic Non-Infectious Diseases Dynamics After Covid-19 Infection in Adult Patients»
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M. M. Batiushin, M. A. Trubnikova, E. I. Tarlovskaya, G. P. Arutyunov, T. I. Batluk, R. A. Bashkinov, E. S. Melnikov, and A. G. Arutyunov
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General Medicine - Abstract
Objective. To study the course of the new coronavirus infection in patients with chronic kidney disease (CKD), to identify cases of acute kidney injury (AKI) in the setting of COVID-19 infection, and to access the impact of renal function on prognosis in these categories of patients during the acute phase and after hospitalization, at 3, 6, and 12 months after recovery. Materials and methods. The ACTIV and ACTIV 2 registries included men and women older than 18 years with a diagnosis of COVID-19 based on a positive PCR test for COVID-19 and a characteristic chest X-ray or computed tomography chest scan. Results. A total of 9364 patients (4404 men, average age59 [48-69]) were included in the analysis. 716 (7.67 %) patients had CKD. 8496 (90,7 %) patients had their glomerular filtration rate (GFR) measured during hospitalization, and the values were distributed as follows: ≥90 ml/min/1.73m2 – in 4289 (50,5 %) patients, 89-60 ml/min/1.73m2 — in 3150 (37,1 %) patients, 59-45 ml/min/1.73m2 — in 613 (7,22 %), 44-30 ml/min/1.73m2 — in 253 (2,98 %), 29-15 ml/min/1.73m2 — in 110 (1,29 %), 2 — in 81 (0,95 %) patients. 11.6 % of the subjects (n=1068) developed AKI during hospitalization. This complication was reported more often than cytokine storm (in 7.46 % in 687 patients, рConclusion. The prevalence of CKD in COVID-19 patients is similar to that in the general population. AKI developed in 11.6 % of cases with COVID-19 infection and was observed more frequently in patients with overweight and hyperglycemia. CKD and AKI increased the risk of hospital mortality in patients with COVID-19. In the group of patients with CKD, mortality increased in the post-COVID period, 3, 6 and 12 months after. The high mortality rate of patients who had AKI during the coronavirus infection was observed only in the first 3 months of follow-up in the post-COVID period.
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- 2023
22. The impact of carbohydrate metabolism disorders on the early and long-term clinical outcomes of patients with COVID-19 according to the AKTIV and AKTIV 2 registries
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V. V. Salukhov, G. P. Arutyunov, E. I. Tarlovskaya, T. I. Batluk, R. A. Bashkinov, I. V. Samus, E. S. Melnikov, M. A. Trubnikova, and A. G. Arutyunov
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Endocrinology, Diabetes and Metabolism - Abstract
BACKGROUND: Numerous studies indicate a high incidence of various disorders of carbohydrate metabolism against the new coronavirus infection. These disorders aggravate the course of infection and increase mortality. Thereby, analysis of risk factors for unfavorable outcomes and assessment of the long-term consequences of COVID-19 in patients with impaired carbohydrate metabolism is of great importance.AIM: To investigate the association between carbohydrate metabolism disorders in COVID-19 patients and mortality, course of infection, long-term consequences, as well as to identify risk factors for an unfavorable disease course.MATERIALS AND METHODS: A retrospective analysis of data from the combined multicenter non-interventional real-world AKTIV and AKTIV 2 registries was performed. The sample included 9290 patients who had COVID-19 with varying severity from June 29, 2020, to November 29, 2020 (AKTIV) and from October 01, 2020, to March 30, 2021 (AKTIV 2). The patients were divided into 3 groups: Group 1 — patients with intact carbohydrate metabolism, n=6606; Group 2 — patients with newly diagnosed hyperglycemia (NDH), n=1073; Group 3 — patients with a history of type 2 diabetes mellitus (DM2), n=1611. The groups were assessed for clinical and laboratory parameters, comorbidities, mortality, carbohydrate metabolic status, and well-being during the infection and at 12 months.RESULTS: The prevalence of carbohydrate metabolism disorders (CMD) was 28,9%, with DM2 patients accounting for 17,3% and patients with newly diagnosed hyperglycemia (NDH) for 11,6%. The mortality rate of patients with hyperglycemia of any origin was 10.6%, which was significantly higher compared to patients without hyperglycemia (3,9%). The probability of lethal outcome increased 2,48-fold in the group of patients with DM2 and 2,04-fold in the group of patients with NDH. At the same time, the probability of a lethal outcome decreased 2,94-fold in patients without CMD. At 12 months, patients with CMD showed a significantly higher frequency and longer persistence of complaints. This trend was more pronounced in patients with DM2 than in those with NDH. Only 1,7% of patients from the NDH group had type 2 diabetes and were receiving oral hypoglycemic medications one year after the infection. A prognostic model was developed to determine the risk of lethal outcome. The model included such known predictors as concomitant ischemic heart disease, history of myocardial infarction or stroke, blood glucose level, and age.CONCLUSION: Carbohydrate metabolism disorders aggravate the course of COVID-19 and increase mortality. One year after infection, patients with DM2 and NDH were more likely to have symptoms typical for post-COVID syndrome, and NDH resolved in most cases after the infection.
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- 2023
23. The impact of BMI on the course of the acute SARS-COV-2 infection and the risks that emerge during the first year after the hospital discharge. Subanalysis evidence of the AKTIV and AKTIV 2 registries
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A. G. Arutyunov, E. I. Tarlovskaya, G. R. Galstyan, T. I. Batluk, R. A. Bashkinov, G. P. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigoryeva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, H. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Ayypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, A. S. Batchaeva, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Galova, V. V. Genkel, D. B. Giller, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A. Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, I. V. Samus, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, Yu. V. Titoykina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu. Shishkov, S. Yu. Shcherbakov, G. V. Shcherbakova, and E. A. Yausheva
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Endocrinology, Diabetes and Metabolism - Abstract
BACKGROUND. There is enough evidence of the negative impact of excess weight on the formation and progression of res piratory pathology. Given the continuing SARS-CoV-2 pandemic, it is relevant to determine the relationship between body mass index (BMI) and the clinical features of the novel coronavirus infection (NCI).AIM. To study the effect of BMI on the course of the acute SARS-COV-2 infection and the post-covid period.MATERIALS AND METHODS. AKTIV and AKTIV 2 are multicenter non-interventional real-world registers. The АКТИВ registry (n=6396) includes non-overlapping outpatient and inpatient arms with 6 visits in each. The АКТИВ 2 registry (n=2968) collected the data of hospitalized patients and included 3 visits. All subjects were divided into 3 groups: not overweight (n=2139), overweight (n=2931) and obese (n=2666).RESULTS. A higher BMI was significantly associated with a more severe course of the infection in the form of acute kidney injury (p=0.018), cytokine storm (pCONCLUSION. Overweight and/or obesity is a significant risk factor for severe course of the new coronavirus infection and the associated cardiovascular and kidney damage Overweight people and patients with the 1st and 2nd degree obesity tend to have a high risk of death of SARS-CoV-2 infection in both acute and post-covid periods. On top of that, in case of morbid obesity patients this tendency is statistically significant. Normalization of body weight is a strategic objective of modern medicine and can contribute to prevention of respiratory conditions, severe course and complications of the new coronavirus infection.
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- 2023
24. Influence of metabolic disorders on the development of renal pathology
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R. A. Bashkinov, T. I. Batluk, E. S. Melnikov, M. A. Trubnikova, and A. G. Arutyunov
- Abstract
A large contribution to the development of kidney pathology, including the progression of chronic kidney disease, is made by risk factors associated, among other things, with impaired metabolic processes. These include disorders of carbohydrate metabolism (prediabetes, diabetes mellitus), dyslipidemia, overweight, obesity, metabolic syndrome, hyperuricemia. Timely identification of these factors and their correction can be crucial for the patient in the context of kidney damage. The review presents data on the impact of disorders of carbohydrate, lipid and purine metabolism, overweight and obesity on the formation of kidney pathology.
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- 2022
25. Simultaneous Determination of Dabigatran, Rivaroxaban, Apixaban, and Warfarin in Human Blood Serum by HPLC-MS/MS for Therapeutic Drug Monitoring
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T. A. Rodina, E. S. Melnikov, A. A. Aksenov, S. A. Belkov, A. V. Sokolov, A. B. Prokof’ev, and G. V. Ramenskaya
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Pharmacology ,Drug Discovery - Published
- 2022
26. Newly diagnosed diseases and the frequency of their occurrence in patients after a new coronavirus infection. Results of an International Register 'Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (ACTIV SARS-CoV-2)' (12-month follow-up)
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G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigoryeva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, H. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Ayypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, O. Yu. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchaeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. .A. Vinnikova, V. V. Vustina, E. A. Elena A. Galova, V. V. Genkel, D. B. Giller, E. D. Gordeychuk, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova48, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Yuliya S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, C. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Yuliya V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A/ Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu. Shishkov, S. Yu Shcherbakov, G. V. Shcherbakova, and E. A. Yausheva
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Cardiology and Cardiovascular Medicine - Abstract
Aim. To analyze newly diagnosed diseases and features of the post-COVID course in patients after a coronavirus disease 2019 (COVID-19) within 12-month follow-up.Material and methods. A total of 9364 consecutively hospitalized patients were included in the ACTIV registry. Enrollment of patients began on June 29, 2020, and was completed on March 30, 2021, corresponding to the first and second waves of the pandemic. Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. The design included follow-up telephone interviews with a standard questionnaire at 3, 6, and 12 months to examine the course of post-COVID period.Results. According to the ACTIV registry, 18,1% of patients after COVID-19 had newly diagnosed diseases (NDDs) over the next 12 months. Hypertension (HTN), type 2 diabetes and coronary artery disease (CAD) prevailed in the NDD structure. Comparison of the age-standardized incidence of NDDs (HTN, CAD, diabetes) in the post-COVID period in the ACTIV registry with NDD incidence in 2019 according to Rosstat and the expected incidence of NDDs according to the EPOHA study revealed that HTN, diabetes, CAD in patients after COVID-19 were registered more often as follows: HTN by 7,0 and 4,4 times, diabetes by 7,3 and 8,8 times, CAD by 2,3 and 2,9 times, respectively. NDDs most often developed in patients aged 47 to 70 years. Comparison of the actual and expected number of cases of newly diagnosed HTN, CAD and diabetes depending on age showed that the actual number of cases in the population of patients in the ACTIV register is significantly higher than expected for patients aged 45-69 years and for patients with hypertension or diabetes and aged Conclusion. Available evidence suggests that a strategy for managing COVID-19 survivors should include mandatory screening for early detection of cardiovascular disease and diabetes, which will be key to reducing the risk of further COVID-19 consequences.
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- 2023
27. Analysis of influence of background therapy for comorbidities in the period before infection on the risk of the lethal COVID outcome. Data from the international ACTIV SARS-CoV-2 registry («Analysis of chronic non-infectious diseases dynamics after COVID-19 infection in adult patients SARS-CoV-2»)
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N V Lareva, A Sh Kerimova, D A Shсukarev, I. V. Fomin, I. A. Karetnikov, K. F. Kasymova, U. K. Kamilova, A. M. Budu, A O Konradi, A. A. Marusina, V. I. Majseenko, Yu D Zimina, E. V. Ponomarenko, E. V. Grigorieva, N. V. Bakulina, I. G. Pochinka, O. V. Kondriakova, N. A. Lyubavina, A. G. Sushilova, K. V. Protasov, E A Konstantinova, Yu. M. Lopatin, I I Shaposhnik, O. V. Karpov, I. A. Soloveva, N. V. Zarechnova, M. V. Bragin, G. T. Aimakhanova, O Yu Badina, O Yu Chizhova, A. P. Rebrov, D. V. Soloveva, E S Kim, V. I. Levankova, S. V. Malchikova, A. S. Galyavich, I. M. Sukhomlinova, M. B. Cholponbaeva, A. V. Klimova, A. R. Vaisberg, M. P. Konoval, V. V. Skachkova, N. N. Vezikova, E. A. Gаlova, N. A. Prokofeva, M Е Levin, L. A. Balykova, M. V. Kazakovtseva, A. S. Makarova, T. I. Chudinovskikh, K R Vagapova, A. K. Subbotin, N Yu Kurchugina, A. T. Tursunova, L. D. Petrov, O. R. Aruslanova, M V Ilina, Yu N Belenkov, I. V. Gubareva, E. S. Melnikov, G. A. Bykova, S Yu Ivanova, Yu V Titojkina, Z. F. Kim, A. V. Aparkina, D Yu Konstantinov, A. M. Maripov, K. V. Trenogina, Ch K. Kulchoroeva, E. A. Yausheva, S. S. Plastinina, N. D. Ulanova, D. D. Varlamova, E. V. Makarova, S. V. Nedogoda, R. V. Gostishev, A. P. Babin, A S Sarybaev, S. A. Avetisian, M. S. Torgunakova, G P Arutyunov, O. V. Fedorishina, L. V. Kurenkova, Sh O. Ospanova, G M Dabylova, E. I. Gorshenina, V V Genkel, N. M. Nikitina, M Kh Karsiev, R. G. Muradyan, M. V. Boldina, S Yu Sherbakov, A. A. Odegova, E. P. Tikhonova, M. I. Kolyadich, D. N. Protsenko, V. V. Gomonova, N. A. Karoli, T. V. Kuprina, N. B. Moiseenko, A O Myshak, K Yu Shishkov, N Yu Grigorieva, K. E. Egorova, A. N. Rakhimov, V. A. Pogrebetskaya, S. N. Tereshchenko, V. V. Vustina, I. U. Bikhteyev, N. A. Magdeyeva, Sh N. Musaelian, A. A. Tulichev, O. V. Khlynova, E. V. Kolmakova, A. I. Demchenko, E. V. Pahomova, I. A. Frolova, D. A. Trofimov, M. Y. Duyshobayev, A I Chesnikova, T. S. Fil, A. S. Kuznetsova, N. A. Kamardina, K. V. Kuzmichev, I. V. Demko, D. A. Klimenko, D. S. Evdokimov, O. E. Vilkova, K. V. Mazalov, A Ch Akunov, A. N. Ermilova, N. A. Rakov, B. B. Ogurlieva, O. V. Fatenkov, O. A. Shevchenko, A A Tolmacheva, E Yu Ashina, E. A. Vinnikova, D Yu Ruzanau, Zh B. Kerimbekova, A. K. Abdrahmanova, Yu S. Kalinina, T. V. Sheshina, I. G. Bakulin, Yu M. Omarova, A. V. Zharkov, I S Fominova, H. G. Hayrapetyan, L. A. Burygina, N. V. Kiseleva, A. M. Karachenova, A. M. Bitieva, D. S. Polyakov, T V Kriukova, F. M. Sokhova, A. G. Arutyunov, D. A. Ayipova, M. M. Petrova, M K Alieva, N. A. Borodulina, F. N. Muradova, I. A. Pudova, N A Kushubakova, A. A. Simonov, V. V. Tsoma, S. Serikbolkyzy, O Yu Barisheva, E. A. Shishkina, O. V. Kovalishena, L. L. Popova, A. V. Evzerikhina, A S Batchayeva, T Yu Kuzmina, K. K. Azarian, D. S. Tokmin, N. A. Omurzakova, D S Кaskaeva, A. E. Zheldybayeva, T. Yu. Kuznetsova, I Yu Fomina, E. A. Verbitskaya, N. A. Rozanova, D. R. Tagayeva, S. M. Tsvinger, E. Yu. Ivanchenko, S A Sayganov, N. A. Trostianetckaia, A. S. Blagonravova, A. Yu. Kraposhina, V. A. Kordukova, E. I. Tarlovskaya, O Yu Dolgikh, I. M. Kouranova, H. G. Avoyan, E. V. Kazymova, T. P. Kolchinskaya, N M Selezneva, A. B. Sugraliev, E. V. Koroleva, and E Yu Gubareva
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Adult ,Male ,medicine.medical_specialty ,Population ,Disease ,Comorbidity ,Lower risk ,Pharmacotherapy ,Internal medicine ,medicine ,Humans ,Registries ,education ,Noncommunicable Diseases ,Pandemics ,education.field_of_study ,COPD ,business.industry ,SARS-CoV-2 ,COVID-19 ,medicine.disease ,Clopidogrel ,Diabetes Mellitus, Type 2 ,Female ,Cardiology and Cardiovascular Medicine ,business ,Ticagrelor ,medicine.drug - Abstract
Aim To study the effect of regular drug therapy for cardiovascular and other diseases preceding the COVID-19 infection on severity and outcome of COVID-19 based on data of the ACTIVE (Analysis of dynamics of Comorbidities in paTIents who surVived SARS-CoV-2 infEction) registry.Material and methods The ACTIVE registry was created at the initiative of the Eurasian Association of Therapists. The registry includes 5 808 male and female patients diagnosed with COVID-19 treated in a hospital or at home with a due protection of patients’ privacy (data of nasal and throat smears; antibody titer; typical CT imaging features). The register territory included 7 countries: the Russian Federation, the Republic of Armenia, the Republic of Belarus, the Republic of Kazakhstan, the Kyrgyz Republic, the Republic of Moldova, and the Republic of Uzbekistan. The registry design: a closed, multicenter registry with two nonoverlapping arms (outpatient arm and in-patient arm). The registry scheduled 6 visits, 3 in-person visits during the acute period and 3 virtual visits (telephone calls) at 3, 6, and 12 mos. Patient enrollment started on June 29, 2020 and was completed on October 29, 2020. The registry completion is scheduled for October 29, 2022. The registry ID: ClinicalTrials.gov: NCT04492384. In this fragment of the study of registry data, the work group analyzed the effect of therapy for comorbidities at baseline on severity and outcomes of the novel coronavirus infection. The study population included only the patients who took their medicines on a regular basis while the comparison population consisted of noncompliant patients (irregular drug intake or not taking drugs at all despite indications for the treatment).ResultsThe analysis of the ACTIVE registry database included 5808 patients. The vast majority of patients with COVID-19 had comorbidities with prevalence of cardiovascular diseases. Medicines used for the treatment of COVID-19 comorbidities influenced the course of the infectious disease in different ways. A lower risk of fatal outcome was associated with the statin treatment in patients with ischemic heart disease (IHD); with angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor antagonists and with beta-blockers in patients with IHD, arterial hypertension, chronic heart failure (CHF), and atrial fibrillation; with oral anticoagulants (OAC), primarily direct OAC, clopidogrel/prasugrel/ticagrelor in patients with IHD; with oral antihyperglycemic therapy in patients with type 2 diabetes mellitus (DM); and with long-acting insulins in patients with type 1 DM. A higher risk of fatal outcome was associated with the spironolactone treatment in patients with CHF and with inhaled corticosteroids (iCS) in patients with chronic obstructive pulmonary disease (COPD).Conclusion In the epoch of COVID-19 pandemic, a lower risk of severe course of the coronavirus infection was observed for patients with chronic noninfectious comorbidities highly compliant with the base treatment of the comorbidity.
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- 2021
28. [International register 'Analysis of Chronic Non-infectious Diseases Dynamics After COVID-19 Infection in Adult Patients (ACTIV SARS-CoV-2)']
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V. V. Tsoma, N A Krivosheina, M S Grigorovich, D. R. Tagayeva, D Y Ruzanau, A. M. Budu, A O Konradi, I Y Fomina, E. V. Kazymova, O. V. Kondriakova, I I Shaposhnik, M D Gaukhar, E. V. Grigorieva, N. N. Vezikova, I A Duvanov, I. A. Pudova, N. A. Prokofeva, G. T. Aimakhanova, D. A. Trofimov, E. S. Melnikov, L. D. Shakhgildyan, T. I. Chudinovskikh, M. V. Kazakovtseva, A. T. Tursunova, A. K. Abdrahmanova, A. B. Sugraliev, E. V. Koroleva, A. P. Rebrov, D. S. Evdokimov, S V Baramzina, E. P. Tikhonova, N. A. Magdeyeva, Y N Belenkov, T. Y. Kuzmina, A A Levchenko, L. A. Burygina, S T Fil, A S Kerimova, I. M. Kouranova, A. R. Vaisberg, M. P. Konoval, Z. F. Kim, A. V. Aparkina, A. A. Tulichev, D. S. Tokmin, I. V. Fomin, S. N. Tereshchenko, N. U. Grigorieva, D V Saphonov, N. A. Kamardina, R. V. Gostishev, U. K. Kamilova, L. A. Smirnova, O A Chumakova, H. G. Avoyan, N A Kushubakova, K. V. Mazalov, A. N. Ermilova, V V Genkel, N. A. Lyubavina, A E Gаlova, O. V. Fatenkov, Y M Lopatin, V. V. Gomonova, H. G. Hayrapetyan, N. V. Zarechnova, E S Kim, Z D Rasulova, N Y Kurchugina, S A Sayganov, N. M. Nikitina, T. V. Sheshina, G P Arutyunov, V. I. Levankova, S. V. Malchikova, A. A. Simonov, T. V. Kuprina, E Y Ashina, S. S. Plastinina, A S Sarybaev, N. A. Trostianetckaia, I. A. Frolova, S. V. Nedogoda, S. Serikbolkyzy, F. N. Muradova, M. B. Cholponbaeva, A. V. Evzerikhina, N. A. Rozanova, T Y Kuznetsova, A. S. Galyavich, A. A. Odegova, A C Akunov, D. I. Tupitsin, Y V Omarova, A. S. Blagonravova, A. K. Subbotin, O Y Barisheva, N. V. Kiseleva, A. V. Klimova, Sh O. Ospanova, M. E. Levin, M. Y. Duyshobayev, O. V. Kovalishena, V M Boldina, E. V. Makarova, Zh B. Kerimbekova, E Y Gubareva, D. V. Soloveva, D. N. Protsenko, N. A. Karoli, K. E. Egorova, A Y Kraposhina, V. A. Pogrebetskaya, K. K. Azarian, E. V. Pahomova, N V Zelyaeva, D. A. Ayipova, S. A. Avetisian, O Y Badina, R. G. Muradyan, I. V. Demko, V. A. Kordukova, E. I. Tarlovskaya, D Y Konstantinov, M. I. Kolyadich, A. E. Zheldybayeva, A. P. Babin, Sh N. Musaelian, D S Kaskaeva, S Y Chukhlova, K Y Shishkov, T. P. Kolchinskaya, T V Kriukova, I. V. Gubareva, O Y Dolgikh, V. I. Majseenko, O. V. Karpov, I. A. Soloveva, S Y Sherbakov, A. M. Bitieva, D. S. Polyakov, E M Mamutova, F. M. Sokhova, A. G. Arutyunov, L. D. Petrov, M. M. Petrova, S Y Ivanova, D. D. Varlamova, A. A. Tiurin, D A Doshchannikov, A. I. Demchenko, A I Chesnikova, A. S. Kuznetsova, D. A. Klimenko, and O. E. Vilkova
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Adult ,2019-20 coronavirus outbreak ,Adult patients ,Coronavirus disease 2019 (COVID-19) ,business.industry ,SARS-CoV-2 ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,MEDLINE ,COVID-19 ,Virology ,Medicine ,Humans ,Cardiology and Cardiovascular Medicine ,business ,Noncommunicable Diseases ,Non infectious - Published
- 2021
29. Rehabilitation after COVID-19. Resolution of the International Expert Council of the Eurasian Association of Therapists and the Russian Society of Cardiology
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E I Tarlovskaya, I. S. Yavelov, I. A. Zolotovskaya, U. K. Kamilova, I. G. Bakulin, M. Cattaneo, V. V. Shustov, T. Shimosawa, R. A. Bashkinov, N P Mitkovskaya, V. V. Salukhov, A. B. Sugraliev, G. R. Galstyan, A. Sh. Sarybaev, A. M. Essaian, M. M. Batyushin, J. Morais, G P Arutyunov, B. Vrtovec, Sh. B. Zhangelova, Z. R. Aisanov, Yu. M. Lopatin, M. V. Boldina, Marat V. Ezhov, Sergey Zyryanov, Christoph Wanner, A I Chesnikova, Sergey Avdeev, G. Krstačić, E. S. Melnikov, N. V. Bakulina, A. P. Babin, A. G. Arutyunov, Dj. Macut, P. Seferovic, Evgeny Shlyakhto, and N. A. Koziolova
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post-covid-19 syndrome ,medicine.medical_specialty ,Rehabilitation ,Coronavirus disease 2019 (COVID-19) ,business.industry ,medicine.medical_treatment ,Association (object-oriented programming) ,Resolution (electron density) ,russian society of cardiology ,covid-19 ,RC666-701 ,Family medicine ,expert council ,Diseases of the circulatory (Cardiovascular) system ,Medicine ,eurasian association of therapists ,Cardiology and Cardiovascular Medicine ,business - Abstract
By the middle of 2021, the official global number of coronavirus disease 2019 (COVID-19) patients was close to 230 million, but the number accounting for asymptomatic patients was much higher. Consequences and rehabilitation after COVID-19 are of particular interest and raise many controversial and unresolved issues. On May 18, 2021, the Eurasian Association of Therapists organized an international panel of experts to analyze challenges associated with the post-COVID-19 period. This panel aimed to develop approaches to identify gaps in the discussed issues. This interdisciplinary team of leading experts reviewed the current literature and presented their data to formulate practical guidance on management of patients after COVID-19. The panel of experts also presented recommendations on how to implement the gained knowledge into health care practices.
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- 2021
30. THE HISTORIOSOPHICAL ATTITUDES IN THE WORKS OF M.A. VOLOSHIN
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E S Melnikov
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Literature ,History ,Poetry ,business.industry ,русская революция ,lcsh:Literature (General) ,General Medicine ,Достоевский ,lcsh:PN1-6790 ,Волошин ,историософия ,поэзия ,публицистика ,история ,First world war ,Fyodor ,Russian revolution ,Humanity ,Terrorism ,Journalism ,этика ,business ,Period (music) - Abstract
The article discusses the historiosophical attitudes of M.A. Voloshin on the future of Russia and on the fate of humanity as a whole. These attitudes were partially inspired by the historical period in which Maximilian Voloshin has lived. The World War I, the terrorism, the Bolshevik Revolution - all of these themes were reflected in the poetry and journalistic creations of the author. The fact that in these years Voloshin was increasingly drawn to the works of Fyodor Dostoyevsky - another thinker who considered the question about the sad future of Russia in the period of revolutions and wars - is no less important. The point of intersection between historiosophical attitudes of both thinkers also receive detailed consideration in the text of the article.
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- 2017
31. UNUSUAL ASPECTS OF RENDERING OF REVOLUTIONIN THE WORKS OF F.M. DOSTOEVSKY AND M.A. VOLOSHIN
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E S Melnikov
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русская революция ,lcsh:Literature (General) ,этика ,Достоевский ,lcsh:PN1-6790 ,Волошин ,поэзия ,публицистика ,история ,христианство - Abstract
The article analyzes the views of Fyodor Dostoyevsky and M. Voloshin on the phenomenon of the Russian Revolution. Both authors see the triumph of atheism over religious and ethical foundations. It also deals with publicist works of Voloshin and Dostoevsky, showing not only the similarity of their moral philosophy, but also the continuity between the ideological and aesthetic programs of both thinkers. The article also describes the views of Dostoyevsky and M. Voloshin on the role of philosophy of nihilism in the formation of anarchist doctrines. It demonstrates the conviction of the great thinkers that revolutionary ideas could be defeated only with humanistic thinking, based on the strengthening of moral principles. It also cites the authors for the primarily peaceful and constructive nature of Russian nation.
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- 2016
32. THE MOTIVE OF THE RUSSIAN REVOLUTION IN THE COLLECTION OF M. VOLOSHIN POETRY «BURNING BUSH»
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E S Melnikov
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художествен- ная деталь ,русская революция ,lcsh:Literature (General) ,символ ,система образов ,lcsh:PN1-6790 ,Волошин ,поэзия ,библейская мифология - Abstract
The article analyzes the evolution of the views of M. Voloshin on the fate of the Russian people in one of the bloodiest periods of XX century’s beginning. Voloshin uses the Christian mythology, filling the pre- revolutionary events with biblical meaning and developing the ideas of Dostoevsky about the ritualized nature of Russian revolt. Drawing parallels between Russian spiritual decline and mythological death of Jesus Christ, Voloshin metaphorically demonstrates the only way to revival and spiritual purification of Russian people, which lies in changing people’s consciousness and «overcoming war, not the enemy».
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- 2015
33. Adhesion properties of a three-layer system based on RF-magnetron sputter deposited calcium-phosphate coating and silver nanoparticles
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Matthias Epple, Maria A. Surmeneva, Mikhail S. Tkachev, I. A. Shulepov, O. S. Korneva, E. S. Melnikov, A. A. Sharonova, Kateryna Loza, and Roman A. Surmenev
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Materials science ,Scanning electron microscope ,0206 medical engineering ,Chemie ,chemistry.chemical_element ,02 engineering and technology ,engineering.material ,Sputter deposition ,021001 nanoscience & nanotechnology ,020601 biomedical engineering ,Silver nanoparticle ,Electrophoretic deposition ,Coating ,Chemical engineering ,chemistry ,Sputtering ,engineering ,0210 nano-technology ,Layer (electronics) ,Titanium - Abstract
A three-layer system of hydroxyapatite (HA) coating — Ag nanoparticles — HA coating with an overall thickness of 1.2 μm was prepared. The radio-frequency (RF) magnetron sputtering was used to prepare the first layer of hydroxyapatite coating on titanium. Then electrophoretic deposition of silver nanoparticles on the prepared HA layer was done followed by deposition of the second layer of HA by RFmagnetron sputtering. The adhesion strength was investigated by the scratch test method. Scanning electron microscopy and optical microscopy allowed to qualitatively estimate the deformation mechanisms of the biocomposites after the scratch test.
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- 2016
34. The association of rs1008832 CACNA1C, rs4027402 SYNE2, rs2340917 TMEM43, rs58225473 CACNB2 with sudden cardiac death
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А. А. Ivanova, E. S. Melnikova, А. А. Gurazheva, A. M. Nesterets, S. K. Malyutina, I. A. Rodina, O. V. Khamovich, V. P. Novoselov, and V. N. Maksimov
- Subjects
sudden cardiac death ,single nucleotide polymorphism ,rs1008832 ,cacna1c ,rs4027402 ,syne2 ,rs2340917 ,tmem43 ,rs58225473 ,cacnb2 ,exome ,sequencing ,molecular genetic marker ,Diseases of the blood and blood-forming organs ,RC633-647.5 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Single nucleotide polymorphisms rs1008832 of the CACNA1C gene, rs4027402 of the SYNE2 gene, rs2340917 of the TMEM43 gene, rs58225473 of the CACNB2 gene were found by sequencing the clinical exome of a group of men who died of sudden cardiac death (SCD) at the age of 45 years. The aim of the study is to study the association of single nucleotide polymorphisms rs1008832 of the CACNA1C gene, rs4027402 of the SYNE2 gene, rs2340917 of the TMEM43 gene, rs58225473 of the CACNB2 gene with SCD in a case-control study using routine molecular genetic analysis. Material and methods. SCD group (n = 400, mean age 53.2 ± 8.7 years, 70.9 % men, 29.1 % women) was formed using the SCD criteria of the European Society of Cardiology from the anonymous DNA bank of the deceased sudden death (1999–2019). The control group (n = 400, mean age 53.1 ± 8.3 years, 68.3 % men, 31.7 % women) was matched by sex and age to the SCD group from DNA banks of international projects MONICA and HAPIEE of living at the time of researches participants. Genotyping was carried out using the polymerase chain reaction followed by analysis of restriction fragment length polymorphism. Results. There were no statistically significant differences in the frequencies of genotypes and alleles of single nucleotide polymorphisms rs1008832 of the CACNA1C gene, rs4027402 of the SYNE2 gene, rs2340917 of the TMEM43 gene, rs58225473 of the CACNB2 gene between the SCD group and the control group (p > 0.05). Conclusions. The association of single nucleotide rs1008832 of the CACNA1C gene, rs4027402 of the SYNE2 gene, rs2340917 of the TMEM43 gene, rs58225473 of the CACNB2 gene with SCD has not been confirmed.
- Published
- 2022
- Full Text
- View/download PDF
35. Electronic atlas of the Russian Arctic coastal zone
- Author
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G. V. Ananjeva-Malkova, M.M. Koreisha, I. V. Chehina, F.M. Rivkin, E. S. Melnikov, Dmitry Drozdov, Yu. V. Korostelev, N.V. Ivanova, and Volker Rachold
- Subjects
0106 biological sciences ,010504 meteorology & atmospheric sciences ,Digital mapping ,010604 marine biology & hydrobiology ,Thematic layer ,Industrial impact ,Environmental Science (miscellaneous) ,Geotechnical Engineering and Engineering Geology ,Oceanography ,01 natural sciences ,The arctic ,Arctic ,13. Climate action ,Coastal zone ,Earth and Planetary Sciences (miscellaneous) ,Physical geography ,Quaternary sediments ,Zoning ,Geology ,0105 earth and related environmental sciences - Abstract
A set of digital maps including geology, Quaternary sediments, landscapes, engineering-geological, vegetation, geocryological and the series of regional sources have been selected to characterize the Russian Arctic coast. Based on this data, new maps of engineering geocryological zoning and zoning of the coast with respect to the intensity of exogenous geological processes and risk of technogenic impacts have been generated at the scales of 1:4,000,000–1:8,000,000. These maps are a tool to assess the impact of industry on the Arctic coast of the country.
- Published
- 2005
36. Active-Layer Monitoring in the Cryolithozone Of West Siberia
- Author
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A. A. Vasiliev, Marina Leibman, E. S. Melnikov, and Nataliya G Moskalenko
- Subjects
Climatology ,Geography, Planning and Development ,Taiga ,General Earth and Planetary Sciences ,Cryosphere ,Environmental science ,Climate change ,Physical geography ,Circumpolar star ,Precipitation ,General Agricultural and Biological Sciences ,Transect ,Tundra - Abstract
The Earth Cryosphere Institute of the Russian Academy of Sciences, Siberian Branch, conducts studies in West Siberia within the framework of the Circumpolar Active-Layer Monitoring (CALM) Program. This paper summarizes results from pre-CALM active-layer monitoring that began in the early 1970s using transects and grids. Sites employing CALM protocols were added to the program in the 1990s. Results obtained at the CALM sites and previously established grids and transects facilitate estimation of the main factors involved in active-layer dynamics in different landscapes of the tundra and taiga bioclimatic zones under climate fluctuations. We conclude that: (1) climatic trends are not evident in the tundra zone but are weakly discernible in the taiga zone; (2) active-layer fluctuations appear to follow climatic trends; (3) different landscapes respond in different ways to climate changes; and (4) atmospheric precipitation plays an important role in annual fluctuation of active-layer thickness.
- Published
- 2004
37. Russian national geocryological database and a strategy for its development
- Author
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M. A. Minkin, E. S. Melnikov, and M. O. Leibman
- Subjects
Structure (mathematical logic) ,Database ,Digital mapping ,Institution (computer science) ,Data bank ,Business ,computer.software_genre ,computer ,Data rescue - Abstract
The paper reviews the state-of-the-art in the development of geocryological databases in Russia. Classification of information, structure of databases and data bank, examples of databases and maps under compilation are given. Strategy for the future development of the Russian geocryological data bank at federal, regional, and local levels is proposed. National Geocryological Fund as a main institution for data rescue and storage is introduced.
- Published
- 2001
38. The main principles of procedure for the national engineering geological survey in the USSR
- Author
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E. S. Melnikov
- Subjects
Engineering ,business.industry ,InformationSystems_DATABASEMANAGEMENT ,Geology ,Geotechnical Engineering and Engineering Geology ,Geologic map ,Field methods ,Civil engineering ,Natural (archaeology) ,Nature Conservation ,Key (cryptography) ,Geological survey ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
The paper deals with the main principles of procedure for the national engineering geological survey in the USSR carried out at scales of 1: 100 000 to 1: 500 000. The objective and tasks of the engineering geological mapping and requirements for the content of an engineering geological map are presented. The methodological bases of the engineering geological mapping which are discussed are based on formation analysis and the concept of natural complexes. A list of field methods applied to the engineering geological survey and the general principles of procedure for survey works widely employing a method of key areas and main routes are given in the paper.
- Published
- 1979
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