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1. Lipid profile changes after the acute COVID-19 period. Sub-analysis of the International Registry 'Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors' (AKTIV SARS-CoV-2)' (12-month follow-up)

Author

G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, N. Yu. Grigorieva, I. V. Gubareva, U. K. Kamilova, Z. F. Kim, A. S. Kuznetsova, T. Yu. Kuznetsova, D. Yu. Ruzanov, A. V. Svarovskaya, E. А. Smirnova, A. B. Sugraliev, I. A. Frolova, G. T. Aimakhanova, T. I. Batluk, R. A. Bashkinov, I. V. Bikushova, E. D. Gordeychuk, E. Yu. Gubareva, D. S. Evdokimov, G. A. Zakirova, A. O. Loginova, E. S. Melnikov, N. B. Moiseenko, M. A. Trubnikova, and S. Yu. Shcherbakov

Subjects
covid-19, dyslipidemia, lipid profile, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Aim. To analyze the lipid profile changes during the acute phase of coronavirus disease 2019 (COVID-19) and within 12 months after discharge from the hospital (post-Covid period) in comparison with the lipid profile of patients before COVID-19.Material and methods. The subanalysis of the registry was carried out as follows: clinical investigators in each of the centers included patients in the AKTIV registry selected from the database patients who met three following criteria: (1) availability of lipid profile test no more than 60 days before COVID-19; (2) availability of lipid profile test during the acute period; (3) availability of lipid profile test within 6-12 months after discharge from the hospital.Results. In patients after COVID-19, a decrease in the levels of all lipid profile parameters in the acute COVID-19 phase and their subsequent increase were found.In the post-COVID-19 period, 25,7% of patients experienced an increase in lipid profile parameters (increased levels of total cholesterol (TC) and/or cholesterol, low-density lipoproteins and/or triglycerides and/or cholesterol excluding high-density lipoproteins by ≥0,5 mmol/l) despite the fact that lipid-lowering therapy in these patients was at least no worse than in patients without lipid profile changes.Multivariate analysis found that such variables as age (direct relationship), body mass index (direct relationship), estimated glomerular filtration rate in the acute phase (inverse relationship) and cholesterol level excluding high-density lipoproteins in the acute period (inverse relationship), as well as heart failure, obesity and cytokine storm in the acute COVID-19 phase are independent predictors of an increase in one or more lipid parameters by ≥0,5 mmol/l over 6-12 months of post-COVID-19 period.Conclusion. COVID-19 likely contributes to the onset and/or progression of lipid metabolism disorders in COVID-19 survivors (Eurasian population).

Published
2024
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2. 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)

Author

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. Egorova, 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

Subjects
covid-19, post-covid period, newly diagnosed diseases, Diseases of the circulatory (Cardiovascular) system, RC666-701
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

Published
2023
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3. 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'

Author

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

Subjects
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

Published
2022
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4. 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

Author

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

Subjects
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.

Published
2021
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5. 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)

Author

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

Subjects
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.

Published
2021
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6. 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

Author

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

Subjects
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.

Published
2023

7. Rehabilitation of patients with COVID-19: the view of an infectious disease specialist and a pulmonologist

Author

I. O. Stoma and D. Yu. Ruzanov

Subjects
medicine.medical_specialty, Rehabilitation, Coronavirus disease 2019 (COVID-19), business.industry, medicine.medical_treatment, Immunology, Public Health, Environmental and Occupational Health, Medical rehabilitation, Pulmonologist, Infectious disease specialist, Infectious Diseases, Medicine, business, Intensive care medicine
Abstract

The COVID-19 pandemic has been going on for more than a year and a half, and the number of confirmed cases of infection in the world has already exceeded 150 million people. The multisystemic nature of the lesions in COVID-19, as well as the Post-COVID- 19 syndrome, has been proven, which requires a rethinking of the rehabilitation of such patients. This lecture discusses current approaches to medical rehabilitation in patients with COVID-19 from the view of an infectious disease specialist and a pulmonologist. Methods and exercises of respiratory rehabilitation, including early ones, are indicated in detail. The directions of pharmacological and dietary support of rehabilitation, as well as vaccination after COVID-19 in the aspect of rehabilitation are presented. The directions of studying the human respiratory microbiome in the context of rehabilitation after COVID-19 are proposed.

Published
2021

8. RESOLUTION OF THE BOARD OF EXPERTS ON PULMONARY HYPERTENSION 'INNOVATIVE APPROACHES AND OPPORTUNITIES FOR MANAGING PATIENTS WITH PULMONARY HYPERTENSION'

Author

I.E. Adzerikho, L. G. Shestakova, T.V. Statkevich, N.P. Mitkovskaya, D. Yu. Ruzanov, S. V. Spiridonov, Yu.P. Ostrovsky, S.V. Gubkin, E.A. Grigorenko, I V. Lazareva, Elena Davidovskaya, Republican Scientific, A. A. Shmalts, I. E. Chazova, A. M. Boris, L. N. Gavrilenko, and T. V. Martynyuk

Subjects
medicine.medical_specialty, business.industry, Resolution (electron density), medicine, Intensive care medicine, business, medicine.disease, Pulmonary hypertension
Published
2021

9. Prevalence of nontuberculous mycobacteria in Gomel region

Author

I. V. Bujnevich, N. Yu. Zhuravleva, V. N. Bondarenko, V. I. Majseenko, L. V. Zolotuhina, and D. Yu. Ruzanov

Subjects
biology, business.industry, Medicine, Nontuberculous mycobacteria, biology.organism_classification, business, Microbiology
Abstract

Objective: to assess the species diversity and frequency of detection of nontuberculous mycobacteria (NTM) in patients of antituberculous organizations in Gomel region. Material and methods. 1057 isolates of mycobacteria were analyzed. To identify the species of the mycobacteria, phenotypic and molecular genetic studies of the isolates were performed. Results. A total of 13 NTM types have been identified. The most common were M. avium and M. intracellulare (MAC complex) - 63.7 % (60.79-66.67), followed by M. gordonae and M. fortuitum (7.66 %; 6.13-9.43 and 7.57 %; 6.05-9.33, respectively). Multiple isolation of NTMs of one species (from 2 or more samples) was observed in 190 patients, which amounted to 37.4 % of all the patients. In 75.3 % of the cases, MAC was obtained (χ2 = 97.01; p

Published
2020

10. CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND CARDIOVASCULAR DISEASES: PATHOGENETIC MECHANISMS OF COMORBIDITY AND PHARMACOLOGICAL INTERACTIONS

Author

Republican Scientific, Irina Buynevich, E.A. Grigorenko, A.A. Pleshko, D. Yu. Ruzanov, and Elena Davidovskaya

Subjects
medicine.medical_specialty, business.industry, Internal medicine, Medicine, Pulmonary disease, business, medicine.disease, Comorbidity
Abstract

The publication provides a brief overview of the most significant pathogenetic and pathophysiological mechanisms that will explain the phenomenon of comorbidity of chronic obstructive pulmonary disease (COPD) and cardiovascular pathology (CVD). Moreover, in this review is considered the potential impact of the recommended treatment of COPD on the risks and course of cardiovascular diseases from the perspective of evidence-based medicine. It has been shown that COPD and cardiovascular diseases share single risk factors, common pathogenetic mechanisms, unidirectional pathophysiological processes, similar clinical symptoms and effects synergistically with respect to adverse events and outcomes, which allows us to attribute this combination to category of comorbid pathology. The presented results of randomized clinical trials and meta-analyzes demonstrate that currently no COPD guidelines contain detailed clinical recommendations for assessing cardiovascular risk in this category of patients, nor are there enough guidelines for the treatment of COPD in patients with cardiovascular disease or vice versa. In terms of international experience, it is substantiated that the comorbid pathology of COPD and CVD should not be considered isolated from each other.

Published
2020

11. Etiological verification of infectious exacerbation of chronic obstructive lung disease using molecular genetics methods

Author

S. V. Mironova, Irina Buynevich, E. V. Voropaev, V. A. Vorobey, D. Yu. Ruzanov, A. A. Zyatkov, N. N. Rubanik, L. N. Semenova, O. V. Osipkina, and N. A. Bonda

Subjects
medicine.medical_specialty, Exacerbation, business.industry, Molecular genetics, Immunology, medicine, Etiology, business, medicine.disease, Obstructive lung disease, respiratory tract diseases
Abstract

Objective: To study the possibilities of the method of determining the 16S rRNA gene of bacteria in the determination of the bacterial spectrum of acute exacerbation of chronic obstructive pulmonary disease (COPD) using a protected material sampling Materials and Methods: 68 Hospitalized patients with acute exacerbation of COPD were prospectively evaluated. Molecular genetic determination of the 16S rRNA gene of bacteria and cultural microbiological techniques from sputum and a bronchial tree material obtained using a protected brush biopsy were used. Results: Bacterial agents were detected in 91,2 % of cases of acute exacerbation of COPD. Pseudomonas aeruginosa was detected in the biopsy material 1.8 times more often than with the use of routine methods. Patterns of COPD with frequent exacerbations, infectious exacerbations and Pseudomonas etiology of exacerbations were determined. Conclusion: Using the method of molecular-genetic determination of the 16S rRNA gene allows to verify the bacterial spectrum of acute exacerbation of COPD.

Published
2019

13. MONITORING OF DRUG-RESISTANT TUBERCULOSIS IN PALLIATIVE CARE PATIENTS

Author

D. Yu. Ruzanov, A. A. Kholiavkin, M. A. Yudenko, I. V. Buinevich, and S. V. Goponyako

Subjects
medicine.medical_specialty, Palliative care, business.industry, Drug resistant tuberculosis, medicine, Intensive care medicine, business
Abstract

Objective: to assess the results of clinical monitoring of drug-resistant tuberculosis in palliative care patients. Material and methods. We have analyzed the clinical data and results of the monitoring of drug resistant tuberculosis in 165 patients who were changed to palliative treatment. Results. Clinical forms with subacute course and secondary drug resistance of tuberculosis mycobacterium were found to predominate, within the first 12-18 months of the observation of palliative care patients as a rule no bacterioexcretion was detected. Conclusion. The analysis of the monitoring results will make it possible to optimize standards of management of patients with drug resistant tuberculosis who are changed to palliative care.

Published
2016

14. THE MODEL OF CONTROLLED CHEMOTHERAPY OF TUBERCULOSIS IN OUT-PATIENT TREATMENT IN CITY CONDITIONS

Author

A. S. Shiriayev, D. Yu. Ruzanov, M. N. Mikhasiov, T. A. Korzhich, S. V. Butko, I. V. Buinevich, and Zh. E. Sverzh

Subjects
medicine.medical_specialty, Chemotherapy, Tuberculosis, business.industry, Internal medicine, medicine.medical_treatment, medicine, Patient treatment, medicine.disease, business
Abstract

The article gives the description of the epidemic situation for tuberculosis in Gomel. Organization of controlled chemotherapy during all the stages of the treatment is the key to the successful solution of tuberculosis problems. The article analyzes the effectiveness of the model of outpatient treatment for tuberculosis in city conditions and presents the order of the organization of outpatient treatment for tuberculosis in town, lists activities aimed at the improvement of adherence to the treatment.

Published
2016

15. LUNG LYMPHANGIOLEIOMYOMATOSIS

Author

V. A. Shtanze, V. N. Bondarenko, D. Yu. Ruzanov, V. A. Anufriev, S. A. Smolitskiy, and T. T. Shebusheva

Subjects
respiratory system
Abstract

Lymphangioleiomyomatosis is a rare interstitial lung disease of unknown etiology which is characterized by progressive diffuse infiltrating growth of neoplastic smooth muscle-like cells, cystic lung destruction, and obliteration of lymphatic and blood vessels

Published
2016

16. PHENOTYPES AND STATES OF UNCONTROLLED BRONCHIAL ASTHMA

Author

V. E. Gavrilenko, D. Yu. Ruzanov, Irina Buynevich, T. T. Shebusheva, L. V. Aleshkevich, Elena Davidovskaya, and T. V. Baranouskaya

Subjects
business.industry, Immunology, medicine, medicine.disease, business, Phenotype, respiratory tract diseases, Asthma
Abstract

Aim: analyzing the causes of the uncontrolled course of bronchial asthma (BA) to reveal the states and phenotypes influencing the efficiency of therapy. Material and methods. 762 patients seeking medical advice or referred for specialized pulmonogical aid have been comprehensively examined. Results. We have defined the prevalence of different phenotypes and states of asthma and the risk for the uncontrolled course of BA. Conclusion. Patients with chronically severe distal and unstable BA detect the highest risk for the uncontrolled course in the absence of compliance, in irrational therapy, asthma-COPD overlap syndrome, decompensated chronic severe pathology and critical mistakes in the application of dosage aerosol inhalators.

Published
2016

17. ANALYSIS OF THE FACTORS INFLUENCING FORMATION OF INSUSCEPTIBILITY IN TUBERCULOSIS PATIENTS (literature review)

Author

M. A. Yuranova, D. Yu. Ruzanov, and I. V. Buynevich

Abstract

Every year there are nearly nine million new cases of tuberculosis and about two million people die of the disease. Tuberculosis is an infectious disease caused by bacillus Mycobacterium tuberculosis and it is transmitted from one person to another aerogenically. The disease can be cured: the minimal treatment course lasts for 6 months. Chemotherapy consists of a combination of several anti-tuberculosis drugs. However, a lot of patients are not able to finish their therapy by different reasons. In this review, we analyzed the main groups of factors that influence insusceptibility to chemotherapy. We selected the most important and successful ways to eliminate them.

Published
2013

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