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1.
Byulleten Sibirskoy Meditsiny ; 22(1):121-131, 2023.
Article in Russian | Web of Science | ID: covidwho-20237671

ABSTRACT

Diagnosing bacterial infection in patients with novel coronavirus infection (COVID-19) is not an easy task. Available data suggest that bacterial infection in patients with COVID-19 is rare and occurs in less than 10% of cases. At the same time, data of individual studies and systematic reviews indicate that more than 70% of patients with COVID-19 receive mainly empirical antimicrobial therapy with broad-spectrum antibiotics often before the diagnosis of COVID-19 has been verified. Therefore, this widespread empirical use of antibiotics is not supported by data on the need for their use. The article discusses the literature data on the significance of commonly accepted methods for diagnosing bacterial infection, with an emphasis on laboratory presence / absence tests. In everyday practice, the likelihood of bacterial coinfection in patients with COVID-19 is assessed by clinical presentation of the disease and the results of standard laboratory tests and imaging methods. However, when viral respiratory infection develops, this approach does not always allow to diagnose bacterial coinfection with sufficient significance. This issue may be handled by available modern test systems, the use of a combination of signs or additional laboratory criteria (for example, procalcitonin), and the analysis of the overall clinical presentation by the doctor using knowledge about patient risk groups.

2.
Antibiotiki i Khimioterapiya ; 67(11-12):64-78, 2022.
Article in Russian | EMBASE | ID: covidwho-2297547

ABSTRACT

Over the past two years, the SARS-CoV-2 pandemic has dominated all aspects of health care around the world, often leaving other long-term public health problems in the background. Despite the fact that COVID-19 is a viral disease, the use of antibiotics in these patients was common practice, especially at the beginning of the pandemic. The use of antibiotics (ABs) in patients with the novel coronavirus infection (NCI) reaches over 70% cases. Suspected concomitant bacterial infection, lack of effective means of treating NCI, terminological problems associated with the definition of <<pneumonia>> may have been the motivating factor for such widespread use. The data of the conducted studies indicate that there is currently insufficient evidence for the widespread empirical use of antibiotics in the majority of hospitalized patients, as the total proportion of bacterial infections in COVID-19 is quite low. Thus, according to most researchers, combined bacterial infection is rare and is less than 10%. Unjustified prescription of ABs to patients with COVID-19 can lead to complications that could otherwise have been avoided, including increased bacterial resistance, Clostridioides difficile infection, kidney failure, and much more. The article provides information on the frequency of AB therapy at various stages of medical care. The analysis of data on the nature of antibiotics prescribed to inpatients and outpatients with COVID-19 in different countries was carried out. Recommendations from different countries on AB therapy in patients with COVID-19 are presented. Conclusion. The data reviewed confirm the discrepancy between the unjustified and excessive prescribing of antibiotics to patients with COVID-19 and the small number of evidence of associated bacterial infections.Copyright © Team of Authors, 2022.

3.
Kliniceskaa Mikrobiologia i Antimikrobnaa Himioterapia ; 24(3):226-235, 2022.
Article in Russian | EMBASE | ID: covidwho-2297546

ABSTRACT

Currently, there is a lack of evidence for empiric use of antimicrobial agents in most patients with COVID-19 in outpatient and hospital settings as the overall proportion of secondary bacterial infections in COVID-19 is quite low. This literature review summarizes data on changes in antimicrobial resistance over the course of COVID-19 pandemic, especially in nosocomial ESKAPE pathogens. The other significant consequences of excessive and unnecessary administration of antibiotics to COVID-19 patients including risk of Clostridioides difficile infection and adverse effects of antimicrobial agents are also discussed.Copyright © 2022, Interregional Association for Clinical Microbiology and Antimicrobial Chemotherapy. All rights reserved.

4.
Antibiotiki i Khimioterapiya ; 67(11-12):64-78, 2022.
Article in Russian | Scopus | ID: covidwho-2265632

ABSTRACT

Over the past two years, the SARS-CoV-2 pandemic has dominated all aspects of health care around the world, often leaving other long-term public health problems in the background. Despite the fact that COVID-19 is a viral disease, the use of antibiotics in these patients was common practice, especially at the beginning of the pandemic. The use of antibiotics (ABs) in patients with the novel coronavirus infection (NCI) reaches over 70% cases. Suspected concomitant bacterial infection, lack of effective means of treating NCI, terminological problems associated with the definition of «pneumonia» may have been the motivating factor for such widespread use. The data of the conducted studies indicate that there is currently insufficient evidence for the widespread empirical use of antibiotics in the majority of hospitalized patients, as the total proportion of bacterial infections in COVID-19 is quite low. Thus, according to most researchers, combined bacterial infection is rare and is less than 10%. Unjustified prescription of ABs to patients with COVID-19 can lead to complications that could otherwise have been avoided, including increased bacterial resistance, Clostridioides difficile infection, kidney failure, and much more. The article provides information on the frequency of AB therapy at various stages of medical care. The analysis of data on the nature of antibiotics prescribed to inpatients and outpatients with COVID-19 in different countries was carried out. Recommendations from different countries on AB therapy in patients with COVID-19 are presented. Conclusion. The data reviewed confirm the discrepancy between the unjustified and excessive prescribing of antibiotics to patients with COVID-19 and the small number of evidence of associated bacterial infections. © Team of Authors, 2022.

5.
Probl Endokrinol (Mosk) ; 68(6): 89-109, 2023 Jan 24.
Article in Russian | MEDLINE | ID: covidwho-2250285

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 (p<0.001), serum C-reactive protein over 100 mg/l (p<0.001), and the need for targeted therapy (p<0.001) in the hospitalized patients. Obesity increased the odds of myocarditis by 1,84 times (95% confidence interval [CI]: 1,13-3,00) and the need for anticytokine therapy by 1,7 times (95% CI: 1,30-2,30).The  patients  with  the  1st  and  2nd  degree  obesity,  undergoing  the  inpatient  treatment,  tended  to  have  a  higher  probability  of  a  mortality  rate.  While  in  case  of  morbid  obesity  patients  this  tendency  is  the  most  significant  (odds  ratio  -  1,78; 95% CI: 1,13-2,70). At the same time, the patients whose chronical diseases first appeared after the convalescence period, and those who had certain complaints missing before SARS-CoV-2 infection, more often had BMI of more than 30 kg/m2 (p<0,001).Additionally, the odds of death increased by 2,23 times (95% CI: 1,05-4,72) within 3 months after recovery in obese people over the age of 60 yearsCONCLUSION.  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.


Subject(s)
COVID-19 , Humans , Middle Aged , SARS-CoV-2 , Body Mass Index , Patient Discharge , Overweight , Hospitals , Obesity
6.
Kliniceskaa Mikrobiologia i Antimikrobnaa Himioterapia ; 24(3):226-235, 2022.
Article in Russian | Scopus | ID: covidwho-2206323

ABSTRACT

Currently, there is a lack of evidence for empiric use of antimicrobial agents in most patients with COVID-19 in outpatient and hospital settings as the overall proportion of secondary bacterial infections in COVID-19 is quite low. This literature review summarizes data on changes in antimicrobial resistance over the course of COVID-19 pandemic, especially in nosocomial ESKAPE pathogens. The other significant consequences of excessive and unnecessary administration of antibiotics to COVID-19 patients including risk of Clostridioides difficile infection and adverse effects of antimicrobial agents are also discussed. © 2022, Interregional Association for Clinical Microbiology and Antimicrobial Chemotherapy. All rights reserved.

7.
Pulmonologiya ; 31(6):701-709, 2021.
Article in Russian | EMBASE | ID: covidwho-2033500

ABSTRACT

Although antibiotics (ABs) are ineffective against COVID-19, they are often prescribed to patients with the new coronavirus infection. Many of these prescriptions are uncalled for. The aim of the work is to assess the frequency of prescribing antibiotics to hospitalized patients with confirmed COVID-19, identify the most commonly prescribed ABs, and determine the significance of various biomarkers for the diagnosis of bacterial infection. Methods. A retrospective analysis of 190 inpatient cases with confirmed COVID-19 was carried out. The records of COVID-19 patients who were admitted to the intensive care unit were excluded from the analysis. Two groups were formed: 30 patients (group 1) with COVID-19, emergency or elective surgery, and exacerbation of chronic infectious diseases, and 160 patients (group 2) with manifestations of COVID-19 only. Results. ABs were prescribed to 189 patients upon admission to the hospital. The most frequently prescribed ABs included macrolides (63.5%), respiratory fluoroquinolones (49.7%), and third or fourth-generation cephalosporins (57.1%). ABs were administered starting from the first day of admission and until the discharge. The patients in group 2 were more often prescribed respiratory fluoroquinolones and, less often, III – IV generation cephalosporins. Moreover, macrolides were used in the treatment regimens of both groups. Longer administration of respiratory fluoroquinolones to patients in group 2 than patients in group 1 (p < 0,05) was noted. Group 2 also tended to receive longer therapy with macrolides. On admission, the patients with signs of bacterial infection had more significant leukocytosis with a neutrophilic shift, a more common increase in ESR of more than 20 mm/h and an increase in the level of procalcitonin ≥ 0,5 ng/ml. Conclusion. ABs were administered to the overwhelming majority of hospitalized patients in the absence of clear therapeutic indications. The ABs are likely to have a minimal benefit as empirical treatment of COVID-19 and are associated with unintended consequences, including adverse effects and increased antibiotic resistance. According to our data, the most informative markers of a secondary bacterial infection in patients with COVID-19 are leukocytosis with a neutrophilic shift, an increase in ESR of more than 20 mm/h, and a procalcitonin level of more than 0,5 ng/ml.

8.
Antibiotiki i Khimioterapiya ; 67(1-2):24-31, 2022.
Article in Russian | EMBASE | ID: covidwho-1870325

ABSTRACT

Although antibiotics (AB) are ineffective for the treatment of COVID-19, they are often prescribed to patients with the novel coronavirus infection (NCV) for a variety of reasons. They include the difficulty of excluding bacterial co-infection at the first contact with the patient, as well as the possibility of developing a secondary bacterial infection. The aim of the work is to assess the frequency and background of prescribing antibiotics to hospitalized patients with confirmed COVID-19. Material and methods. A retrospective analysis of 160 hospital records of patients with confirmed COVID-19, who were treated in various Infectious Diseases Departments during the period from September to October 2020, was carried out. The selection was done by the method of random sampling. The analysis did not include the records of patients admitted to the ICU for NCV. Results. Information aboutthe appointment of antibacterial drugs before hospitalization was found in 109 patients, of which only 51 patients did not receive AB on an outpatient basis. The remaining 58 (53.2%) patients began taking ABs on their own or based on the recommendation of an outpatient doctor, including 31 patients who took two or more drugs (successively or simultaneously). The most commonly used antibiotics were: macrolides (37 patients), cephalosporins (24 patients), respiratory fluoroquinolones (12 patients), and aminopenicillins (5 patients). On admission, AB was prescribed for almost all patients, except for one. The most frequently prescribed antibiotics were: macrolides (61%), mainly azithromycin, and respiratory fluoroquinolones (54.1%), mainly levofloxacin. In most cases, these drugs were combined with 3rd or 4th generation cephalosporins. Most patients received more than one AB: two drugs were prescribed to 86 (54.1%) patients, three - to 34 (21.4%) patients. AB therapy was carried out for a long time: the maximum number of days for macrolide administration (excluding previous AB therapy at the outpatient stage) was 16 days, respiratory fluoroquinolones - 22 days, 3rd generation cephalosporins - 19 days, 4th generation cephalosporins - 17 days, carbapenems - 34 days. In almost 100% of cases, ABs were prescribed on the first day of admission of patients, and their therapy continued until the patient was discharged from the hospital. Conclusion. The appointment of antibiotics at the hospital stage was established for the vast majority of patients in the absence of clear indications for their appointment. Such a frequent prescription of antibiotics is accompanied by a number of problems: immediate - side effects of such therapy (for example, antibiotic- associated diarrhea), long-term - an increase in antibiotic resistance of microorganisms.

9.
Russian Journal of Cardiology ; 27(3):9-17, 2022.
Article in Russian | EMBASE | ID: covidwho-1822635

ABSTRACT

Aim. To carry out comparative analysis of echocardiographic and electrocardiographic (ECG) data of survivors and deceased patients with COVID-19 (sub-analysis of the international register “Dynamics analysis of comorbidities in SARS-CoV-2 survivors”). Material and methods. The study presents the results of a sub-analysis of the international AKTIV registry, which was called AKTIV CARDIO. Data were collected from 9 medical centers in the Russian Federation. AKTIV CARDIO included 973 hospitalized patients, of which 50 patients died during hospitalization. Results. Comparative analysis of echocardiographic parameters revealed that 4 parameters differed in deceased patients compared to survivors: left ventricular ejection fraction (LVEF), right ventricular end diastolic dimension (RV EDD), right atrial (RA) short axis diameter and pulmonary artery systolic pressure (PASP). RA short axis diameter was higher in deceased patients compared with survivors (38,0 [36,0;39,0] versus 35,0 [33,0;38,0] mm, p=0,011). RV EDD was higher in deceased patients than in survivors (3,0 [29,0;33,0] vs 28,0 [27,0;32,0] mm, p=0,019). LVEF was lower in deceased patients compared with survivors (55 [52;55] vs 60 [56;65]%, p<0,001). PASP was higher in deceased patients compared with survivors (25 [21;35] vs 20 [19;25] mm Hg, p=0,006). Correlation analysis found that the largest number of correlations with markers of the infection severity was observed for RA short axis diameter and RV EDD. A comparative analysis of ECG data revealed that in deceased patients, compared with survivors, atrial fibrillation (AF) (21,4% vs 6,06%, p=0,001) and supraventricular premature beats (14,3% vs 3,36%, р=0,004) occurred more often. In addition, deceased patients had longer QTc interval (440 [416;450] vs 400 [380;430] ms, p<0,001). Conclusion. Comparative analysis of echocardiographic data showed that deceased patients have more pronounced right heart remodeling, higher PASP and lower LVEF. Patient survival was related to RV and RA sizes. Right heart enlargement was associated with markers of infection severity. Echocardiographic parameters characterizing the right heart side can probably be independent prognostic factors in the acute COVID-19 period.

10.
Ter Arkh ; 94(1): 32-47, 2022 Jan 15.
Article in Russian | MEDLINE | ID: covidwho-1798590

ABSTRACT

AIM: Study the impact of various combinations of comorbid original diseases in patients infected with COVID-19 later on the disease progression and outcomes of the new coronavirus infection. MATERIALS AND METHODS: The ACTIV registry was created on the Eurasian Association of Therapists initiative. 5,808 patients have been included in the registry: men and women with COVID-19 treated at hospital or at home. CLINICALTRIALS: gov ID NCT04492384. RESULTS: Most patients with COVID-19 have original comorbid diseases (oCDs). Polymorbidity assessed by way of simple counting of oCDs is an independent factor in negative outcomes of COVID-19. Search for most frequent combinations of 2, 3 and 4 oCDs has revealed absolute domination of cardiovascular diseases (all possible variants). The most unfavorable combination of 2 oCDs includes atrial hypertension (AH) and chronic heart failure (CHF). The most unfavorable combination of 3 oCDs includes AH, coronary heart disease (CHD) and CHF; the worst combination of 4 oCDs includes AH, CHD, CHF and diabetes mellitus. Such combinations increased the risk of lethal outcomes 3.963, 4.082 and 4.215 times respectively. CONCLUSION: Polymorbidity determined by way of simple counting of diseases may be estimated as a factor in the lethal outcome risk in the acute phase of COVID-19 in real practice. Most frequent combinations of 2, 3 and 4 diseases in patients with COVID-19 primarily include cardiovascular diseases (AH, CHD and CHF), diabetes mellitus and obesity. Combinations of such diseases increase the COVID-19 lethal outcome risk.


Subject(s)
COVID-19 , Cardiovascular Diseases , Coronary Disease , Diabetes Mellitus , Heart Failure , Hypertension , Noncommunicable Diseases , Adult , Female , Humans , Male , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Chronic Disease , COVID-19/diagnosis , COVID-19/epidemiology , Hypertension/diagnosis , Hypertension/epidemiology , Prognosis , Registries , SARS-CoV-2
11.
Kardiologiia ; 61(9): 20-32, 2021 Sep 30.
Article in Russian, English | MEDLINE | ID: covidwho-1527055

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).Results The 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.


Subject(s)
COVID-19 , Diabetes Mellitus, Type 2 , Noncommunicable Diseases , Adult , Comorbidity , Female , Humans , Male , Pandemics , Registries , SARS-CoV-2
12.
Arutyunov, G. P.; Tarlovskaya, E. I.; Arutyunov, A. G.; Belenkov, Y. N.; Konradi, A. O.; Lopatin, Y. M.; Rebrov, A. P.; Tereshchenko, S. N.; Chesnikova, A. I.; Hayrapetyan, H. G.; Babin, A. P.; Bakulin, I. G.; Bakulina, N. V.; Balykova, L. A.; Blagonravova, A. S.; Boldina, M. V.; Vaisberg, A. R.; Galyavich, A. S.; Gomonova, V. V.; Grigorieva, N. U.; Gubareva, I. V.; Demko, I. V.; Evzerikhina, A. V.; Zharkov, A. V.; Kamilova, U. K.; Kim, Z. F.; Kuznetsova, T. Yu, Lareva, N. V.; Makarova, E. V.; Malchikova, S. V.; Nedogoda, S. V.; Petrova, M. M.; Pochinka, I. G.; Protasov, K. V.; Protsenko, D. N.; Ruzanov, D. Yu, Sayganov, S. A.; Sarybaev, A. Sh, Selezneva, N. M.; Sugraliev, A. B.; Fomin, I. V.; Khlynova, O. V.; Chizhova, O. Yu, Shaposhnik, I. I.; Sсhukarev, D. A.; Abdrahmanova, A. K.; Avetisian, S. A.; Avoyan, H. G.; Azarian, K. K.; Aimakhanova, G. T.; Ayipova, D. A.; Akunov, A. Ch, Alieva, M. K.; Aparkina, A. V.; Aruslanova, O. R.; Ashina, E. Yu, Badina, O. Y.; Barisheva, O. Yu, Batchayeva, A. S.; Bitieva, A. M.; Bikhteyev, I. U.; Borodulina, N. A.; Bragin, M. V.; Budu, A. M.; Burygina, L. A.; Bykova, G. A.; Varlamova, D. D.; Vezikova, N. N.; Verbitskaya, E. A.; Vilkova, O. E.; Vinnikova, E. A.; Vustina, V. V.; Gаlova, E. A.; Genkel, V. V.; Gorshenina, E. I.; Gostishev, R. V.; Grigorieva, E. V.; Gubareva, E. Yu, Dabylova, G. M.; Demchenko, A. I.; Dolgikh, O. Yu, Duvanov, I. A.; Duyshobayev, M. Y.; Evdokimov, D. S.; Egorova, K. E.; Ermilova, A. N.; Zheldybayeva, A. E.; Zarechnova, N. V.; Ivanova, S. Yu, Ivanchenko, E. Yu, Ilina, M. V.; Kazakovtseva, M. V.; Kazymova, E. V.; Kalinina, Y. S.; Kamardina, N. A.; Karachenova, A. M.; Karetnikov, I. A.; Karoli, N. A.; Karpov, O. V.; Karsiev, M. Kh, Кaskaeva, D. S.; Kasymova, K. F.; Kerimbekova, Z. B.; Kerimova, A. Sh, Kim, E. S.; Kiseleva, N. V.; Klimenko, D. A.; Klimova, A. V.; Kovalishena, O. V.; Kolmakova, E. V.; Kolchinskaya, T. P.; Kolyadich, M. I.; Kondriakova, O. V.; Konoval, M. P.; Konstantinov, D. Yu, Konstantinova, E. A.; Kordukova, V. A.; Koroleva, E. V.; Kraposhina, A. Yu, Kriukova, T. V.; Kuznetsova, A. S.; Kuzmina, T. Y.; Kuzmichev, K. V.; Kulchoroeva, C. K.; Kuprina, T. V.; Kouranova, I. M.; Kurenkova, L. V.; Kurchugina, N. Yu, Kushubakova, N. A.; Levankova, V. I.; Levin, M. E.; Lyubavina, N. A.; Magdeyeva, N. A.; Mazalov, K. V.; Majseenko, V. I.; Makarova, A. S.; Maripov, A. M.; Marusina, A. A.; Melnikov, E. S.; Moiseenko, N. B.; Muradova, F. N.; Muradyan, R. G.; Musaelian, S. N.; Nikitina, N. M.; Ogurlieva, B. B.; Odegova, A. A.; Omarova, Y. M.; Omurzakova, N. A.; Ospanova, S. O.; Pahomova, E. V.; Petrov, L. D.; Plastinina, S. S.; Pogrebetskaya, V. A.; Polyakov, D. S.; Ponomarenko, E. V.; Popova, L. L.; Prokofeva, N. A.; Pudova, I. A.; Rakov, N. A.; Rakhimov, A. N.; Rozanova, N. A.; Serikbolkyzy, S.; Simonov, A. A.; Skachkova, V. V.; Smirnova, L. A.; Soloveva, D. V.; Soloveva, I. A.; Sokhova, F. M.; Subbotin, A. K.; Sukhomlinova, I. M.; Sushilova, A. G.; Tagayeva, D. R.; Titojkina, Y. V.; Tikhonova, E. P.; Tokmin, D. S.; Torgunakova, M. S.; Trenogina, K. V.; Trostianetckaia, N. A.; Trofimov, D. A.; Tulichev, A. A.; Tupitsin, D. I.; Tursunova, A. T.; Ulanova, N. D.; Fatenkov, O. V.; Fedorishina, O. V.; Fil, T. S.; Fomina, I. Yu, Fominova, I. S.; Frolova, I. A.; Tsvinger, S. M.; Tsoma, V. V.; Cholponbaeva, M. B.; Chudinovskikh, T. I.; Shakhgildyan, L. D.; Shevchenko, O. A.; Sheshina, T. V.; Shishkina, E. A.; Shishkov, K. Yu, Sherbakov, S. Y.; Yausheva, E. A..
Russian Journal of Cardiology ; 26(4):116-131, 2021.
Article in Russian | EMBASE | ID: covidwho-1488885

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.

13.
Arutyunov, G. P.; Tarlovskaya, E. I.; Arutyunov, A. G.; Belenkov, Y. N.; Konradi, A. O.; Lopatin, Y. M.; Rebrov, A. P.; Tereshchenko, S. N.; Che Snikova, A. I.; Hayrapetyan, H. G.; Babin, A. P.; Bakulin, I. G.; Bakulina, N. V.; Balykova, L. A.; Blagonravova, A. S.; Boldina, M. V.; Vaisberg, A. R.; Galyavich, A. S.; Gomonova, V. V.; Grigorieva, N. U.; Gubareva, I. V.; Demko, I. V.; Evzerikhina, A. V.; Zharkov, A. V.; Kamilova, U. K.; Kim, Z. F.; Kuznetsova, T. Yu, Lareva, N. V.; Makarova, E. V.; Malchikova, S. V.; Nedogoda, S. V.; Petrova, M. M.; Pochinka, I. G.; Protasov, K. V.; Protsenko, D. N.; Ruzanov, D. Yu, Sayganov, S. A.; Sarybaev, A. Sh, Selezneva, N. M.; Sugraliev, A. B.; Fomin, I. V.; Khlynova, O. V.; Chizhova, O. Yu, Shaposhnik, I. I.; Sсhukarev, D. A.; Abdrahmanova, A. K.; Avetisian, S. A.; Avoyan, H. G.; Azarian, K. K.; Aimakhanova, G. T.; Ayipova, D. A.; Akunov, A. Ch, Alieva, M. K.; Aparkina, A. V.; Aruslanova, O. R.; Ashina, E. Yu, Badina, O. Y.; Barisheva, O. Yu, Batchayeva, A. S.; Bitieva, A. M.; Bikhteyev, I. U.; Borodulina, N. A.; Bragin, M. V.; Budu, A. M.; Burygina, L. A.; Bykova, G. A.; Varlamova, D. D.; Vezikova, N. N.; Ver Bitskaya, E. A.; Vilkova, O. E.; Vinnikova, E. A.; Vustina, V. V.; Gаlova, E. A.; Genkel, V. V.; Gorshenina, E. I.; Gostishev, R. V.; Grigorieva, E. V.; Gubareva, E. Yu, Dabylova, G. M.; Demchenko, A. I.; Dolgikh, O. Yu, Duvanov, I. A.; Duyshobayev, M. Y.; Evdokimov, D. S.; Egorova, K. E.; Ermilova, A. N.; Zheldybayeva, A. E.; Zarechnova, N. V.; Ivanova, S. Yu, Ivanchenko, E. Yu, Ilina, M. V.; Kazakovtseva, M. V.; Kazymova, E. V.; Kalinina, Yu S.; Kamardina, N. A.; Karachenova, A. M.; Karetnikov, I. A.; Karoli, N. A.; Karpov, O. V.; Karsiev, M. Kh, Кaskaeva, D. S.; Kasymova, K. F.; Kerimbekova, Zh B.; Kerimova, A. Sh, Kim, E. S.; Kiseleva, N. V.; Klimenko, D. A.; Klimova, A. V.; Kovalishena, O. V.; Kolmakova, E. V.; Kolchinskaya, T. P.; Kolyadich, M. I.; Kondriakova, O. V.; Konoval, M. P.; Konstantinov, D. Yu, Konstantinova, E. A.; Kordukova, V. A.; Koroleva, E. V.; Kraposhina, A. Yu, Kriukova, T. V.; Kuznetsova, A. S.; Kuzmina, T. Y.; Kuzmichev, K. V.; Kulchoroeva, Ch K.; Kuprina, T. V.; Kouranova, I. M.; Kurenkova, L. V.; Kurchugina, N. Yu, Kushubakova, N. A.; Levankova, V. I.; Levin, M. E.; Lyubavina, N. A.; Magdeyeva, N. A.; Mazalov, K. V.; Majseenko, V. I.; Makarova, A. S.; Maripov, A. M.; Marusina, A. A.; Melnikov, E. S.; Moiseenko, N. B.; Muradova, F. N.; Muradyan, R. G.; Musaelian, Sh N.; Nikitina, N. M.; Ogurlieva, B. B.; Odegova, A. A.; Omarova, Yu M.; Omurzakova, N. A.; Ospanova, Sh O.; Pahomova, E. V.; Petrov, L. D.; Plastinina, S. S.; Pogrebetskaya, V. A.; Polyakov, D. S.; Ponomarenko, E. V.; Popova, L. L.; Prokofeva, N. A.; Pudova, I. A.; Rakov, N. A.; Rakhimov, A. N.; Rozanova, N. A.; Serikbolkyzy, S.; Simonov, A. A.; Skachkova, V. V.; Smirnova, L. A.; Soloveva, D. V.; Soloveva, I. A.; Sokhova, F. M.; Subbotin, A. K.; Sukhomlinova, I. M.; Sushilova, A. G.; Tagayeva, D. R.; Titojkina, Y. V.; Tikhonova, E. P.; Tokmin, D. S.; Torgunakova, M. S.; Trenogina, K. V.; Trostianetckaia, N. A.; Trofimov, D. A.; Tulichev, A. A.; Tupitsin, D. I.; Tursunova, A. T.; Tiurin, A. A.; Ulanova, N. D.; Fatenkov, O. V.; Fedorishina, O. V.; Fil, T. S.; Fomina, I. Yu, Fominova, I. S.; Frolova, I. A.; Tsvinger, S. M.; Tsoma, V. V.; Cholponbaeva, M. B.; Chudinovskikh, T. I.; Shakhgildyan, L. D.; Shevchenko, O. A.; Sheshina, T. V.; Shishkina, E. A.; Shishkov, K. Yu, Sherbakov, S. Y.; Yausheva, E. A..
Russian Journal of Cardiology ; 26(3):102-113, 2021.
Article in Russian | EMBASE | ID: covidwho-1488882

ABSTRACT

The organizer of the registers “Dynamics analysis of comorbidities in SARS-CoV-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.

14.
Arutyunov, G. P.; Tarlovskaya, E. I.; Arutyunov, A. G.; Belenkov, Y. N.; Konradi, A. O.; Lopatin, Y. M.; Tereshchenko, S. N.; Rebrov, A. P.; Chesnikova, A. I.; Fomin, I. V.; Grigorieva, N. U.; Boldina, M. V.; Vaisberg, A. R.; Blagonravova, A. S.; Makarova, E. V.; Shaposhnik, I. I.; Kuznetsova, T. Yu, Malchikova, S. V.; Protsenko, D. N.; Evzerikhina, A. V.; Petrova, M. M.; Demko, I. V.; Safonov, D. V.; Hayrapetyan, H. G.; Galyavich, A. S.; Kim, Z. F.; Sugraliev, A. B.; Nedogoda, S. V.; Tsoma, V. V.; Sayganov, S. A.; Gomonova, V. V.; Gubareva, I. V.; Sarybaev, A. Sh, Koroleva, E. V.; Vilkova, O. E.; Fomina, I. Y.; Pudova, I. A.; Soloveva, D. V.; Kiseleva, N. V.; Zelyaeva, N. V.; Kouranova, I. M.; Pogrebetskaya, V. A.; Muradova, F. N.; Badina, O. Y.; Kovalishena, O. V.; Galova, E. A.; Plastinina, S. S.; Lyubavina, N. A.; Vezikova, N. N.; Levankova, V. I.; Ivanova, S. Yu, Ermilova, A. N.; Muradyan, R. G.; Gostishev, R. V.; Tikhonova, E. P.; Kuzmina, T. Y.; Soloveva, I. A.; Kraposhina, A. Yu, Kolyadich, M. I.; Kolchinskaya, T. P.; Genkel, V. V.; Kuznetsova, A. S.; Kazakovtseva, M. V.; Odegova, A. A.; Chudinovskikh, T. I.; Baramzina, S. V.; Rozanova, N. A.; Kerimova, A. Sh, Krivosheina, N. A.; Chukhlova, S. Y.; Levchenko, A. A.; Avoyan, H. G.; Azarian, K. K.; Musaelian, Sh N.; Avetisian, S. A.; Levin, M. E.; Karpov, O. V.; Sokhova, F. M.; Burygina, L. A.; Sheshina, T. V.; Tiurin, A. A.; Dolgikh, O. Yu, Kazymova, E. V.; Konstantinov, D. Yu, Chumakova, O. A.; Kondriakova, O. V.; Shishkov, K. Yu, Fil, T. S.; Prokofeva, N. A.; Konoval, M. P.; Simonov, A. A.; Bitieva, A. M.; Trostianetckaia, N. A.; Cholponbaeva, M. B.; Kerimbekova, Zh B.; Duyshobayev, M. Y.; Akunov, A. Ch, Kushubakova, N. A.; Melnikov, E. S.; Kim, E. S.; Sherbakov, S. Y.; Trofimov, D. A.; Evdokimov, D. S.; Ayipova, D. A.; Duvanov, I. A.; Abdrakhmanova, A. K.; Aimakhanova, G. T.; Ospanova, Sh O.; Dabylova, G. M.; Tursunova, A. T.; Kaskaeva, D. S.; Tulichev, A. A.; Ashina, E. Yu, Kordukova, V. A.; Barisheva, O. Yu, Egorova, K. E.; Varlamova, D. D.; Kuprina, T. V.; Pakhomova, E. V.; Kurchugina, N. Yu, Frolova, I. A.; Mazalov, K. V.; Subbotin, A. K.; Kamardina, N. A.; Zarechnova, N. V.; Mamutova, E. M.; Smirnova, L. A.; Klimova, A. V.; Shakhgildyan, L. D.; Tokmin, D. S.; Tupitsin, D. I.; Kriukova, T. V.; Rakov, N. A.; Polyakov, D. S..
Russian Journal of Cardiology ; 25(11):98-107, 2020.
Article in Russian | Russian Science Citation Index | ID: covidwho-1094455

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. COVID-19 - тяжелое инфекционное заболевание с высоким риском летального исхода. Представление о болезни во многом сформировано на основании крупных регистров, выполненных в США, Испании, Италии, КНР. Однако к настоящему времени нет данных по особенностям протекания болезни у пациентов евроазиатского региона. В связи с этим был создан международный регистр, расчетная мощность которого составляет 5000 пациентов, “Анализ динамики Коморбидных заболеваний у пациенТов, перенесшИх инфицироВание SARS-CoV-2” (AКТИВ SARS-CoV-2), работа в котором объединила специалистов Российской Федерации, Республики Армения, Республики Казахстан и Кыргызской Республики. В статье представлен первый анализ регистра, который включил данные 1003 пациентов. Показано, что самым значимым отличием евроазиатской популяции пациентов оказалось гораздо большее влияние полиморбидности на риск летального исхода в сравнении с другими регистрами, а также более выраженное влияние на риск летального исхода в евроазиатской популяции таких заболеваний, как сахарный диабет, ожирение, артериальная гипертензия, хроническая болезнь почек и возраста старше 60 лет.

15.
Arutyunov, G. P.; Tarlovskaya, E. I.; Arutyunov, A. G.; Belenkov, Y. N.; Konradi, A. O.; Lopatin, Y. M.; Tereshchenko, S. N.; Rebrov, A. P.; Chesnikova, A. I.; Fomin, I. V.; Grigorieva, N. U.; Boldina, V. M.; Vaisberg, A. R.; Blagonravova, A. S.; Makarova, E. V.; Shaposhnik, II, Kuznetsova, T. Y.; Malchikova, S. V.; Protsenko, D. N.; Evzerikhina, A. V.; Petrova, M. M.; Demko, I. V.; Saphonov, D. V.; Hayrapetyan, H. G.; Galyavich, A. S.; Kim, Z. F.; Sugraliev, A. B.; Nedogoda, S. V.; Tsoma, V. V.; Sayganov, S. A.; Gomonova, V. V.; Gubareva, I. V.; Sarybaev, A. S.; Ruzanau, D. Y.; Majseenko, V. I.; Babin, A. P.; Kamilova, U. K.; Koroleva, E. V.; Vilkova, O. E.; Fomina, I. Y.; Pudova, I. A.; Soloveva, D. V.; Doshchannikov, D. A.; Kiseleva, N. V.; Zelyaeva, N. V.; Kouranova, I. M.; Pogrebetskaya, V. A.; Muradova, F. N.; Badina, O. Y.; Kovalishena, O. V.; Gsmall a, Cyrilliclova A. E.; Plastinina, S. S.; Grigorovich, M. S.; Lyubavina, N. A.; Vezikova, N. N.; Levankova, V. I.; Ivanova, S. Y.; Ermilova, A. N.; Muradyan, R. G.; Gostishev, R. V.; Tikhonova, E. P.; Kuzmina, T. Y.; Soloveva, I. A.; Kraposhina, A. Y.; Kolyadich, M. I.; Kolchinskaya, T. P.; Genkel, V. V.; Kuznetsova, A. S.; Kazakovtseva, M. V.; Odegova, A. A.; Chudinovskikh, T. I.; Baramzina, S. V.; Rozanova, N. A.; Kerimova, A. S.; Krivosheina, N. A.; Chukhlova, S. Y.; Levchenko, A. A.; Avoyan, H. G.; Azarian, K. K.; Musaelian, S. N.; Avetisian, S. A.; Levin, M. E.; Karpov, O. V.; Sokhova, F. M.; Burygina, L. A.; Sheshina, T. V.; Tiurin, A. A.; Dolgikh, O. Y.; Kazymova, E. V.; Konstantinov, D. Y.; Chumakova, O. A.; Kondriakova, O. V.; Shishkov, K. Y.; Fil, S. T.; Prokofeva, N. A.; Konoval, M. P.; Simonov, A. A.; Bitieva, A. M.; Trostianetckaia, N. A.; Cholponbaeva, M. B.; Kerimbekova, Z. B.; Duyshobayev, M. Y.; Akunov, A. C.; Kushubakova, N. A.; Melnikov, E. S.; Kim, E. S.; Sherbakov, S. Y.; Trofimov, D. A.; Evdokimov, D. S.; Ayipova, D. A.; Duvanov, I. A.; Abdrahmanova, A. K.; Aimakhanova, G. T.; Ospanova, S. O.; Gaukhar, M. D.; Tursunova, A. T.; Kaskaeva, D. S.; Tulichev, A. A.; Ashina, E. Y.; Kordukova, V. A.; Barisheva, O. Y.; Egorova, K. E.; Varlamova, D. D.; Kuprina, T. V.; Pahomova, E. V.; Kurchugina, N. Y.; Frolova, I. A.; Mazalov, K. V.; Subbotin, A. K.; Kamardina, N. A.; Zarechnova, N. V.; Mamutova, E. M.; Smirnova, L. A.; Klimova, A. V.; Shakhgildyan, L. D.; Tokmin, D. S.; Tupitsin, D. I.; Kriukova, T. V.; Polyakov, D. S.; Karoli, N. A.; Grigorieva, E. V.; Magdeyeva, N. A.; Aparkina, A. V.; Nikitina, N. M.; Petrov, L. D.; Budu, A. M.; Rasulova, Z. D.; Tagayeva, D. R.; Fatenkov, O. V.; Gubareva, E. Y.; Demchenko, A. I.; Klimenko, D. A.; Omarova, Y. V.; Serikbolkyzy, S.; Zheldybayeva, A. E..
Kardiologiia ; 60(11):30-34, 2021.
Article in Russian | Scopus | ID: covidwho-1070011

ABSTRACT

.

16.
Ter Arkh ; 92(9): 108-124, 2020 Oct 14.
Article in Russian | MEDLINE | ID: covidwho-940511

ABSTRACT

The agreement of experts of the Eurasian Association of Therapists (EAT) discusses pathogenesis and treatment of COVID-19. Modern data on the characteristics of cardiovascular, kidney, respiratory damage in SARS-infected CoV-2 are presented. The tactics of managing patients initially having cardiovascular diseases, diabetes mellitus, chronic obstructive pulmonary disease, bronchial asthma, chronic kidney disease are discussed in detail. The article presents data on drug interaction of drugs.


Subject(s)
Asthma , COVID-19 , Diabetes Mellitus , Pulmonary Disease, Chronic Obstructive , Humans , SARS-CoV-2
17.
Kardiologiia ; 60(6): 1180, 2020 May 25.
Article in Russian | MEDLINE | ID: covidwho-840293

ABSTRACT

This article discusses relevant aspects in the treatment of patients with COVID-19. Up-to-date information about principles for administration of statins, antithrombotics, and antiarrhythmics is presented. The authors addressed in detail specific features of reversing heart rhythm disorders in patients with coronavirus infection and the interaction of antiarrhythmic and antiviral drugs. Recommendations are provided for outpatient and inpatient antithrombotic therapy for patients with COVID-19. Issues of antithrombotic and antiviral drug interaction are discussed.


Subject(s)
Anticoagulants , Cardiology , Coronavirus Infections , Hydroxymethylglutaryl-CoA Reductase Inhibitors , Pandemics , Pneumonia, Viral , Anti-Arrhythmia Agents/therapeutic use , Anticoagulants/therapeutic use , Betacoronavirus , COVID-19 , Coronavirus Infections/drug therapy , Coronavirus Infections/epidemiology , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Pneumonia, Viral/drug therapy , Pneumonia, Viral/epidemiology , Russia , SARS-CoV-2 , Societies, Medical , COVID-19 Drug Treatment
18.
Kardiologiia ; 60(5): 9-19, 2020 May 04.
Article in Russian | MEDLINE | ID: covidwho-593120

ABSTRACT

The article discusses pathogenesis and treatment of COVID-19. The authors presented state-of-the-art insight into hemostatic disorders in patients with COVID-19 and clinical recommendations on prevention of thrombosis and thromboembolism in patients infected with SARS-CoV-2. The article discussed in detail a new hypothesis proposed by Chinese physicians about a new component in the pathogenesis of COVID-19, namely, about the effect of SARS-CoV-2 virus on the hemoglobin beta-chain and the formation of a complex with porphyrin, which results in displacement of the iron ion. Thus, hemoglobin loses the capability for transporting oxygen, which aggravates hypoxia and worsens the prognosis. The article stated rules of hemotransfusion safety in the conditions of COVID-19 pandemic.


Subject(s)
Blood Gas Analysis , Blood Transfusion , Coronavirus Infections/physiopathology , Hemostasis , Pneumonia, Viral/physiopathology , Betacoronavirus , COVID-19 , Hemoglobins , Humans , Hypoxia , Iron , Pandemics , Porphyrins , SARS-CoV-2
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