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Purpose: The current pandemic made scientists create new platforms of vaccines to fight against SARS-CoV-2. Without a doubt, the new forms of present vaccines could develop a diversity of unknown complications. Sputnik V vaccine with two different adenovirus vectors (Ad26 priming and Ad5 boost) was first announced safe and effective by Russia. However, there are controversies surrounding this vaccine such as the possible decline of its immunogenicity and diminished neutralizing capacity against some Covid-19 variants. In addition, its impression on serum biomarkers is not clearly surveyed. The present study aimed to evaluate the frequency of Sputnik V vaccine-related complications and its impression on inflammatory and hematologic biomarkers., Materials &methods: An observational cohort study was performed to evaluate the side effects and serum biomarkers changes in healthcare workers receiving Sputnik V vaccine. The vaccine adverse events were recorded daily within 60 days. The blood samples were obtained before vaccination, and on the10th day after each dose of vaccination. The prevalence of all complications and inflammatory biomarkers levels were compared between two doses. All analyses were performed using SPSS software version 22.0., Results: Totally, 126 participants completed the study. The mean age was 37.19 ​± ​7.73 years. The prevalence of all complications was higher following the first dose than the second dose. The most common side effects were pain at the injection site, body pain, fever, headache, weakness, vertigo, sore throat and sleep disorder. The hematocrit, mean corpuscular volume of red blood cells and neutrophils count declined following vaccination significantly (P-value; 0.04, 0.039, 0.000 respectively)., Conclusion: It seems the side effects of Sputnik-V vaccine are mild and decrease significantly after the second dose. The decreasing level of hematocrit, MCV and neutrophil count was found significant following vaccination., Competing Interests: Conflict of interest All authors reviewed and approved the final manuscript, and report no potential conflicts of interest., (Copyright © 2022 Indian Association of Medical Microbiologists. Published by Elsevier B.V. All rights reserved.)

Background: Coinfections have a potential role in increased morbidity and mortality rates during pandemics. Our investigation is aimed at evaluating the viral coinfection prevalence in COVID-19 patients., Methods: We systematically searched scientific databases, including Medline, Scopus, WOS, and Embase, from December 1, 2019, to December 30, 2020. Preprint servers such as medRxiv were also scanned to find other related preprint papers. All types of studies evaluating the viral coinfection prevalence in COVID-19 patients were considered. We applied the random effects model to pool all of the related studies., Results: Thirty-three studies including 10484 patients were identified. The viral coinfection estimated pooled prevalence was 12.58%; 95% CI: 7.31 to 18.96). Blood viruses (pooled prevalence: 12.48%; 95% CI: 8.57 to 16.93) had the most frequent viral coinfection, and respiratory viruses (pooled prevalence: 4.32%; 95% CI: 2.78 to 6.15) had less frequent viral coinfection. The herpesvirus pooled prevalence was 11.71% (95% CI: 3.02 to 24.80). Also, the maximum and minimum of viral coinfection pooled prevalence were in AMRO and EMRO with 15.63% (95% CI: 3.78 to 33.31) and 7.05% (95% CI: 3.84 to 11.07), respectively., Conclusion: The lowest rate of coinfection belonged to respiratory viruses. Blood-borne viruses had the highest coinfection rate. Our results provide important data about the prevalence of blood-borne viruses among COVID-19 patients which can be critical when it comes to their treatment procedure., Competing Interests: The authors have no conflicts of interest to declare., (Copyright © 2021 Pooneh Malekifar et al.)

BACKGROUND: The new coronavirus causes systemic inflammation and damage to various organs. So, this study aimed to follow up patients with COVID −19 after recovery for three months by performing cardiac, pulmonary and laboratory tests. MATERIALS AND METHODS: This was a prospective cohort study of COVID-19 patients who were discharged from Baharloo Hospital. The diagnosis of COVID-19 was confirmed by PCR or long CT scan. Inclusion criteria were age over 18 years and patients with more than 50% of pulmonary involvement in lung CT scan. The patients were called to Baharloo hospital three months after recovery and were examined for cardiac, pulmonary and blood tests. RESULT: Our study included 178 participants with mean age of 55.70, and 50.6% of them were male. Among pulmonary factors in the hospital, 71.9%, 15.7%,1.7%,19.1% and 53.4% had positive GGO, consolidation, reverse halo sign, traction bronchiectasis and vascular enlargement, respectively. After three months follow up, percentage of patients who had reticulation, honeycombing, fibrotic brand and bullae were 12%, 1.1%,8.4% and 0%, respectively. The Mean values of FVC and FEV1 were reported 4.21 and 3.01, respectively. Among Cardiac factors, positive PVC, PAC and mean Pap were decreased after three months. Only Growth in myalgia and Decreased sense of taste were statistically significant. Also, D dimer, UA protein, PMN, Ferritin CRP, PMN, LDH and HB amounts had decreased significantly. CONCLUSION: Our study indicated that in addition to pulmonary changes, rapid damage to other organs and the occurrence of cardiac symptoms and changes in laboratory result were also reported in patients recovered from COVID-19. [ABSTRACT FROM AUTHOR]

The length of stay in the hospital for COVID-19 can aid in understanding the disease's prognosis. Thus, the goal of this study was to collectively estimate the hospital length of stay (LoS) in COVID-19 hospitalized individuals. To locate related studies, international databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched. The I² index, the Cochran Q test, and T² were used to analyze study heterogeneity. The mean LoS in COVID-19 hospitalized patients was estimated using a random-effects model. COVID-19's total pooled estimated hospital LoS was 15.35, 95%CI:13.47-17.23; p<0.001, I² = 80.0). South America had the highest pooled estimated hospital LoS of COVID-19 among the continents, at 20.85 (95%CI: 14.80-26.91; p<0.001, I² = 0.01), whereas Africa had the lowest at 8.56 8 (95%CI: 1.00-22.76). The >60 age group had the highest pooled estimated COVID-19 hospital LoS of 16.60 (95%CI: 12.94-20.25; p<0.001, I² = 82.6), while the 40 age group had the lowest hospital LoS of 10.15 (95% CI: 4.90-15.39, p<0.001, I² = 22.1). The metanalysis revealed that COVID-19's hospital LoS was more than 10 days. However, it appears that this duration varies depending on a number of factors, including the patient's age and the availability of resources. [ABSTRACT FROM AUTHOR]