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1.
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
2.
Russian Journal of Cardiology ; 26(9):135-151, 2021.
Article in Russian | EMBASE | ID: covidwho-2113942

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. Copyright © 2021, Silicea-Poligraf. All rights reserved.

3.
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
4.
BMC Infect Dis ; 21(1): 1277, 2021 Dec 22.
Article in English | MEDLINE | ID: covidwho-1638012

ABSTRACT

BACKGROUND: Several anti-cytokine therapies were tested in the randomized trials in hospitalized patients with severe acute respiratory syndrome coronavirus 2 infection (COVID-19). Previously, dexamethasone demonstrated a reduction of case-fatality rate in hospitalized patients with respiratory failure. In this matched control study we compared dexamethasone to a Janus kinase inhibitor, ruxolitinib. METHODS: The matched cohort study included 146 hospitalized patients with COVID-19 and oxygen support requirement. The control group was selected 1:1 from 1355 dexamethasone-treated patients and was matched by main clinical and laboratory parameters predicting survival. Recruitment period was April 7, 2020 through September 9, 2020. RESULTS: Ruxolitinib treatment in the general cohort of patients was associated with case-fatality rate similar to dexamethasone treatment: 9.6% (95% CI [4.6-14.6%]) vs 13.0% (95% CI [7.5-18.5%]) respectively (p = 0.35, OR = 0.71, 95% CI [0.31-1.57]). Median time to discharge without oxygen support requirement was also not different between these groups: 13 vs. 11 days (p = 0.13). Subgroup analysis without adjustment for multiple comparisons demonstrated a reduced case-fatality rate in ruxolitnib-treated patients with a high fever (≥ 38.5 °C) (OR 0.33, 95% CI [0.11-1.00]). Except higher incidence of grade 1 thrombocytopenia (37% vs 23%, p = 0.042), ruxolitinib therapy was associated with a better safety profile due to a reduced rate of severe cardiovascular adverse events (6.8% vs 15%, p = 0.025). For 32 patients from ruxolitinib group (21.9%) with ongoing progression of respiratory failure after 72 h of treatment, additional anti-cytokine therapy was prescribed (8-16 mg dexamethasone). CONCLUSIONS: Ruxolitinib may be an alternative initial anti-cytokine therapy with comparable effectiveness in patients with potential risks of steroid administration. Patients with a high fever (≥ 38.5 °C) at admission may potentially benefit from ruxolitinib administration. Trial registration The Ruxolitinib Managed Access Program (MAP) for Patients Diagnosed With Severe/Very Severe COVID-19 Illness NCT04337359, CINC424A2001M, registered April, 7, 2020. First participant was recruited after registration date.


Subject(s)
COVID-19 Drug Treatment , Adult , Cohort Studies , Dexamethasone/therapeutic use , Humans , Nitriles , Pyrazoles , Pyrimidines , SARS-CoV-2 , Treatment Outcome
5.
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
6.
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.

7.
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.

8.
Ter Arkh ; 93(8): 853-861, 2021 Aug 15.
Article in Russian | MEDLINE | ID: covidwho-1436514

ABSTRACT

AIM: Assessment of the prevalence and prognostic value of gastroenterological manifestations in patients with COVID-19. MATERIALS AND METHODS: A single-center retrospective cohort study was carried out. Only cases with laboratory confirmed detection of SARS-CoV-2 virus RNA using polymerase chain reaction in oro-/nasopharyngeal smear samples were subject to analysis. Patients with documented (according to anamnestic data and/or according to examination data during hospitalization) organic pathology of the gastrointestinal tract (GIT) and/or hepatobiliary system, malignant neoplasms of any localization, as well as pregnant patients were excluded from the general register of retrospective data. The final cohort was divided into two groups depending on the presence of gastrointestinal symptoms: COVID-19 with gastrointestinal symptoms (cases) and COVID-19 without gastrointestinal symptoms (control). RESULTS: The final sample consisted of 3764 patients, including 2108 (56%) women and 1656 (44%) men. The average age of the subjects included in the analysis was 58.0 years (95% confidence interval CI 48.663.0). In the study cohort, gastroenterological manifestations (alone or in combination) were recorded in 885 (23.51%) patients. Calculation of the odds ratio (OR) of unfavorable and lethal outcomes between the analyzed groups showed that the presence of gastroenterological symptoms significantly increases the chances of lethal outcome in a cohort of elderly and senile patients (OR 1.6817, 95% CI 1.03352.7364; p=0.0364), determines a higher risk of hospitalization or transfer to the intensive care unit (OR 1.2959, 95% CI 1.05471.5922; p=0.0136), development of acute respiratory distress syndrome (OR 1.5952, 95% CI 1.31641.9329; p0.0001), as well as the need for mechanical ventilation (OR 1.2849, 95% CI 1.0771.5329; p=0.0054). CONCLUSION: The present study has demonstrated that gastroenterological symptoms are detected in about one in four patients infected with the SARS-CoV-2 virus and multiply the risk of adverse and life-threatening complications of COVID-19.


Subject(s)
COVID-19 , Male , Humans , Female , Aged , Middle Aged , COVID-19/diagnosis , COVID-19/epidemiology , SARS-CoV-2 , Retrospective Studies , Prevalence , Prognosis , Universities , Gastrointestinal Tract , RNA
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