Objective(s) : Since there is increasing evidence of serious deterioration in long-term Quality of Life (QoL) in COVID-19 intensive care unit (ICU) survivors, we identified predictors of poor quality of life in these patients. Design : Prospective cohort study. Setting : Research hospital repurposed in to a COVID-19 center. Participants : Consecutive patients admitted in COVID-19 ICU between March and June 2020. Interventions : A SF-36 questionnaire, which includes physical and mental items, was used 6 months after patients discharge. Measurements and Main Results : 403 patients were managed in the ICU with a hospital mortality of 181/403 (44.9%) while 16 (4.0%) further patients died within 6 months. Among the 125 questionnaire responders, only 32.0% and 52% had a normal quality of life in terms of the physical and mental component of health. Multivariable analysis identified low-molecular-weight heparin treatment in ICU as the only modifiable factor associated with an increase in physical component of QoL OR: 3.341 (95%CI 1.298-8.599), p=0.012, while age ≥52 years OR 0.223 and female sex OR 0.321 were significantly associated with a decrease in the physical component. Medical history of cerebrovascular insufficiency was significantly associated with a decrease in mental component of QoL OR: 0.125, while the only factor associated with an increase in the mental health component was BMI ≥ 27.6 kg / m2 OR 7.466. Conclusions : In COVID-19 intensive care unit survivors we identified treatment with low molecular weight heparin as a predictor of improved physical component of QoL at 6-months.
Over the two years of the novel coronavirus infection (COVID-19) pandemic, there has been an evolution of views in various fields of medicine, which has led to a powerful development of scientific research in the field of epidemiology, clinic, diagnosis and therapy of COVID-19. The article highlights the evolution of views and approaches to the study of the epidemiology and radiology of COVID-19. The data of molecular genetic studies are shown, which are the most important component of epidemiological surveillance. The study of the manifestations of the COVID-19 epidemic process made it possible to distinguish two stages in the development of the epidemiological situation in the Russian Federation. At the first stage of the epidemic, two rises in the incidence rate of the population were recorded, regulated by social and natural factors. The second stage of the epidemic was due to a change in the biological properties of the SARS-CoV-2 virus, followed by a change in the prevailing genovariants (Alpha, Delta and Omicron). At the second stage of the epidemic, three rises in the incidence of the population were recorded. The general principles for the use of radiodiagnosis methods, which are used primarily to detect lung damage in COVID-19, are given. With the accumulation of experience, a natural change in ideas about the algorithms for the use of visualization technologies has occurred.
Aim. To study clinical, medical history and paraclinical characteristics of patients with non-ST elevation myocardial infarction (NSTEMI) after coronavirus disease 2019 (COVID-19).Material and methods. The study included 209 patients with NSTEMI who were admitted to the Demikhov City Clinical Hospital (Moscow). The patients were divided into 2 groups: the experimental one (n=104) — those after COVID-19, the control one (n=105) — those without history of COVID-19. All patients underwent routine diagnostic investigations in accordance with current standards and clinical guidelines.Results. The mean age of patients in the experimental group was 61,8±12,2 years, while in the control one — 69,0±13,0 years (p<0,0001). Myocardial infarction developed 49 days [34.0; 82.0] after COVID-19. Prior exertional angina was observed in 76,9% of patients in the experimental group and in 88,6% in the control one (χ2 =4,97; p=0,0258). The level of C-reactive protein in the experimental group was 19,2 mg/l [4,9; 53,0], and in the control one — 5,6 mg/l [0,4; 21,8] (p=0,0007). The average troponin I level in the experimental group was 2,7 ng/ml [1,3; 8,0], while in the control one — 1,8 ng/ml [0,8; 3,5] (p=0,0091).Conclusion. Patients with NSTEMI after COVID-19 were significantly younger compared to patients without a history of COVID-19. They had less common exertional angina prior to MI, while C-reactive protein and troponin I levels were significantly higher than in the control group. In addition, in NSTEMI patients after COVID-19, the estimated pulmonary artery systolic pressure was significantly higher compared to patients without a history of COVID-19.
The objective: to develop a predictive model for assessing the risk of death in patients with COVID-19 admitted to the intensive care unit (ICU).Subjects and Methods. This was a single-center retrospective cohort study of hospital mortality in patients admitted to ICU of V.P. Demikhov City Clinical Hospital from March 6 to June 3, 2020.Results. Case histories of 403 patients were analyzed. In-hospital 30-day mortality among patients treated in ICU was 44.9% (181/403 patients). A multivariate analysis showed that significant predictors of death in patients with COVID-19 were the age of 60 years or more (adj. OR 3.84; 95% CI 1.56‒9.44, p = 0.003), COPD (adj. OR 2.35; 95% CI 1.12‒4.95, p = 0.024), peripheral artery diseases (adj. OR: 5.08; 95% CI 1.87‒13.76, p = 0.001) and CKD stage 3b and higher (adj. OR 4.58; 95% CI 2.36‒8.90, p < 0.001), LDH 300 IU/l or more (adj. OR 3.05; 95% CI 1.23‒7.58, p = 0.016), and CRP 200 mg/l or more (adj. OR 3.65; 95% CI 1.95‒6.85, p < 0.001). Predictive model quality: AUC = 0.811 [0.733‒0.874], p < 0.001.Conclusions. A nomogram to assess the risk of death in patients with COVID-19 has been developed. It includes the assessment of age, history of COPD, CKD stage 3b and higher, peripheral artery diseases, and monitoring of LDH and CRP.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.