ABSTRACT
INTRODUCTION: The Coronavirus disease 2019 (COVID-19) outbreak is an increasing major global public health threat. Mortality rate varies across countries, therefore conducting studies on this disease in different countries is necessary, and will improve disease management worldwide. OBJECTIVE: This study aimed to investigate the COVID-19 disease course characteristics in Iran. METHODS: This is a retrospective study of 108 patients with confirmed COVID-19 from Feb 20 to June 20, 2020, at one Hospital in Iran. In summary, we obtained demographic data, clinical, laboratory, and chest CT findings of patients. The statistical analysis evaluated patients in two groups: recovered or died. RESULT: In brief, cough (70/108, 64.8%) and fever (69/108, 63.9%) were the most common symptoms. CT scan findings of patients with COVID-19 showed that bilateral lung involvement was more common in deceased patients than recovered ones (20/26, 76.9% vs. 30/70, 42.8%, p = 0.026). Laboratory findings of routine blood tests including Erythrocyte sedimentation rate (ESR), Fasting Blood Sugar (FBS), White Blood Cell (WBC), the number of platelets (PLTs) showed a significant difference between the two groups (p <0.05). There were no significant differences in age and gender between the two groups. CONCLUSION: In this study, we described the features of deceased and recovered patients with COVID-19. Our findings suggest that levels of FBS, ESR, WBC, and PLTs, also patterns of lung involvement, existence of underlying disease, respiratory rate, and oxygen saturation can be predictors of mortality risk. Further studies are proposed to investigate these characteristics in different populations.
Subject(s)
COVID-19 , Demography , Humans , Iran/epidemiology , Laboratories , Poland , Retrospective Studies , SARS-CoV-2ABSTRACT
Although COVID-19 emerged as a major concern to public health around the world, no licensed medication has been found as of yet to efficiently stop the virus spread and treat the infection. The SARS-CoV-2 entry into the host cell is driven by the direct interaction of the S1 domain with the ACE-2 receptor followed by conformational changes in the S2 domain, as a result of which fusion peptide is inserted into the target cell membrane, and the fusion process is mediated by the specific interactions between the heptad repeats 1 and 2 (HR1 and HR2) that form the six-helical bundle. Since blocking this interaction between HRs stops virus fusion and prevents its subsequent replication, the HRs inhibitors can be used as anti-COVID drugs. The initial drug selection is based on existing molecular databases to screen for molecules that may have a therapeutic effect on coronavirus. Based on these premises, we chose two approved drugs to investigate their interactions with the HRs (based on docking methods). To this end, molecular dynamics simulations and molecular docking were carried out to investigate the changes in the structure of the SARS-CoV-2 spike protein. Our results revealed, cefpiramide has the highest affinity to S protein, thereby revealing its potential to become an anti-COVID-19 clinical medicine. Therefore, this study offers new ways to re-use existing drugs to combat SARS-CoV-2 infection.
ABSTRACT
The novel SARS-CoV-2 outbreak was declared as pandemic by the World Health Organization (WHO) on March 11, 2020. Understanding the airborne route of SARS-CoV-2 transmission is essential for infection prevention and control. In this study, a total of 107 indoor air samples (45 SARS-CoV-2, 62 bacteria, and fungi) were collected from different wards of the Hajar Hospital in Shahrekord, Iran. Simultaneously, bacterial and fungal samples were also collected from the ambient air of hospital yard. Overall, 6 positive air samples were detected in the infectious 1 and infectious 2 wards, intensive care unit (ICU), computed tomography (CT) scan, respiratory patients' clinic, and personal protective equipment (PPE) room. Also, airborne bacteria and fungi were simultaneously detected in the various wards of the hospital with concentrations ranging from 14 to 106 CFU m-3 and 18 to 141 CFU m-3, respectively. The highest mean concentrations of bacteria and fungi were observed in respiratory patients' clinics and ICU wards, respectively. Significant correlation (p < 0.05) was found between airborne bacterial concentration and the presence of SARS-CoV-2, while no significant correlation was found between fungi concentration and the virus presence. This study provided an additional evidence about the presence of SARS-CoV-2 in the indoor air of a hospital that admitted COVID-19 patients. Moreover, it was revealed that the monitoring of microbial quality of indoor air in such hospitals is very important, especially during the COVID-19 pandemic, for controlling the nosocomial infections.