BACKGROUND: Although there are some data regarding the COVID-19 vaccine and in in vitro fertilization (IVF) treatments, its potential impact in terms of serum immunoglobulin G (IgG) levels has not been evaluated prospectively. This study aimed to assess the effect of COVID-19 vaccine and IgG levels on IVF outcomes.
METHODS: This observational, cohort study was conducted at a referral IVF unit. Couples undergoing IVF treatment during the COVID-19 vaccination period were recruited from March-April 2021. The study compared 38 women who had received the Pfizer mRNA COVID-19 vaccination to 10 women who had not and were not infected by the virus. We also compared pre- and post-vaccination IVF treatments for 24 women. The relation between serologic titers and IVF treatment outcomes was also assessed.
RESULTS: No significant difference was found between the vaccinated and unvaccinated/uninfected groups regarding the main outcome measures. However, there was a trend toward a higher pregnancy rate for the unvaccinated group (57% vs. 23%, p = 0.078) but no difference in delivery rate (p = 0.236), gestational week (p = 0.537) or birth rate (p = 0.671).
CONCLUSIONS: We cautiously state that the COVID-19 mRNA vaccine does not affect fertility outcomes, including fertilization, pregnancy and delivery rates, obstetric outcomes, and semen parameters, regardless of measured IgG levels.

UNASSIGNED: The COVID-19 pandemic has led to physical and psychological complications and social consequences in the form of illness-related stigma. This study aimed (1) to assess the sociodemographic and clinical variable, as well as COVID-19 related knowledge and perception of persons admitted for COVID-19/Suspected COVID-19 in Nepal, (2) to determine their levels of COVID-19- related internalized stigma, depression, and anxiety symptoms, and (3) to evaluate the correlates of COVID-19- related internalized stigma.
UNASSIGNED: It was a cross-sectional exploratory study with a convenience sample of 395 participants (306 confirmed cases, 89 suspected cases) conducted between July-October 2020 in four health facilities in Madhesh and Lumbini provinces of Nepal. We used a semi-structured questionnaire to assess sociodemographic details, clinical information, COVID-19-related knowledge, perception, COVID-19-related internalized stigma, and the Hamilton Anxiety Depression Scale (HADS) in Nepali language. Descriptive statistics, correlation analyses, and linear regression analyses were performed. The level of statistical significance was considered at p < 0.05.
UNASSIGNED: Around 23.3% of the patients had anxiety symptoms, 32.9% had depressive symptoms, and 20.3% had high COVID-19-related internalized stigma (mean ISMI score: 2.51-4.00). Linear regression analyses showed a significant positive association of COVID-19-related internalized stigma total score, with the following eight factors, i.e., no income in the past one month (p = 0.013), below average socioeconomic status (p = 0.004), anxiety symptoms (p = <0.001), depressive symptoms (p = <0.001), recent testing positive for COVID-19 (p = <0.001), involuntary admission (p = <0.001), prior experience of being in isolation and quarantine (p = 0.045), and those who blame others for COVID-19 (p = 0.025).
UNASSIGNED: COVID-19 survivors and suspects are vulnerable to symptoms of depression, anxiety, and COVID-19-related internalized stigma. For the first time from Nepal, our data suggests that COVID-19-related internalized stigma is associated with anxiety and depression symptoms, perceived below-average socioeconomic status, involuntary admission, prior experience of being in isolation and quarantine, recent COVID-19 positive report, self-blame, below-average socioeconomic status and no income in the past one month. Mitigating and preventing internalized stigma associated with a public health crisis such as COVID-19 is imperative by diagnosing and treating such mental health issues early and designing interventions and policies especially targeting vulnerable populations focusing on their economic background and socio-cultural beliefs.

BACKGROUND: Angiotensin-converting enzyme 2 (ACE2) is the main host cell receptor for coronavirus disease 2019 (COVID-19) and is highly expressed in the tongue and buccal mucosa. Therefore, the present study was conducted to investigate genotoxic changes in epithelial cells of the buccal and tongue mucosa following COVID-19 infection.
METHODS: This study included 40 patients aged 25-40 years, divided into two groups: Group 1 (control group) included 20 healthy individuals with no prior history of COVID-19 infection subdivided into Group 1a (buccal mucosa), and Group 1b (tongue mucosa); Group 2 (case group) included 20 patients with a history of mild to moderate COVID-19 infection subdivided into Group 2a (buccal mucosa) and Group 2b (tongue mucosa). Genotoxic biomarkers, such as the number of micronuclei, pyknosis, karyolysis, and karyorrhexis, were assessed in epithelial cells from the buccal mucosa and the ventral surface of the tongue. Analysis of variance was used for intragroup comparisons, followed by post-hoc analysis using Tukey\'s test.
RESULTS: The mean age of the patients was 27.4±6.52 years. Statistically significant differences were observed between cases and controls in the number of micronuclei, pyknosis, karyolysis, and karyorrhexis in the epithelial cells of the buccal and tongue mucosa (p = 0.05).
CONCLUSIONS: SARS-CoV-2 has pronounced genotoxic effects on the epithelium of the ventral surface of the tongue in comparison to the buccal mucosa Therefore, patients with COVID-19 should be monitored regularly to develop future carcinomas, particularly those with habits of smoking, alcohol consumption, and tobacco usage.

One of the best medical approaches for halting the spread of infectious diseases is vaccination. During the COVID-19 pandemic, healthcare workers (HCWs) were a high-risk population. Due to their susceptibility in terms of their working environment, front-line healthcare personnel should receive vaccinations before others.
The purpose of this study was to assess the adverse reactions to COVID-19 vaccines among Ethiopian healthcare professionals in 2022.
A facility-based cross-sectional study design was conducted in Addis Ababa Health Facilities, Ethiopia. A total of 290 health professionals who were vaccinated during the study period were involved. Data entry was done by Epidata (version 3.1) and analyzed using SPSS software version 26. Bivariable analysis was conducted and a p value of less than 0.25 was selected for further multivariable analysis. A p value of 0.05 was considered statistically significant at a 95% confidence level.
A total of 277 study participants were successfully involved in the study, yielding a response rate of 95.5%. The study participants comprised 123 (44.4%) women and 154 (55.6%) men. The majority of them (202, 72.9%) had received the Oxford AstraZeneca vaccine. Among the 277 study participants, 142 (51.3%) had developed adverse reactions associated with vaccination. Of these, 81 (29.2%) had moderate adverse reactions. Only 2 (0.7%) had developed adverse reactions that led to hospitalization. The most reported short-term adverse reactions were injection site pain (151, 54.5%), headache (114, 41.2%), fever (104, 37.5%), fatigability and tiredness (94, 33.9%), chills (92, 33.2%), muscle pain (79, 28.5%), and decreased sleep quality (34, 12.3%). The multivariable logistic regression showed that the odds of having an adverse reaction were 1.501 times higher among women than men (AOR = 1.501, 95% CI [1.08, 2.754]).
This study revealed that adverse effects following the COVID-19 vaccine were moderate in magnitude and minimal in severity. This study showed that adverse reactions that led to hospitalization were rare. Based on the findings of this study, it is recommended that national, multicenter, prospective, and randomized studies be conducted to assess the independent association of each vaccine.

BACKGROUND: Hospital staff members are most susceptible to the COVID-19 illness, which is currently prevented through vaccination. Hospital staff members also refuse vaccinations, albeit the underlying causes have not been identified. The study aimed to compare the severity of the symptoms of the disease on the body for health workers who took the coronavirus vaccine and those who did not take the vaccine.
METHODS: This cohort study aimed to estimate the of infection severity of vaccinated and unvaccinated health workers with Corona Virus in Mosul Hospital, Iraq. Data were obtained from the General Mosul Hospital, Nineveh, Iraq. The first of the three components of this questionnaire outlined the demographic characteristics. Second part: First group of unvaccinated Health care workers included those who had not received the COVID-19 immunization or had only gotten one dose of the vaccine; the second group included those who had received their first dose of Corona vaccine and the third group included those who had received two doses of Corona Vaccine. HCWs who got corona vaccine were included in the three-dose final group.
RESULTS: The study\'s findings indicate that as compared to the corona vaccination, the vaccinated experienced less severe infection symptoms and fewer dosage stays. The high share of healthcare workers among the 20- to 30-year-olds who received vaccinations accounts for the gender gap between the vaccinated and unvaccinated groups.
CONCLUSIONS: This study concluded that the results of the corona vaccine are not consistent among the various groups of HCWs. The acceptability of vaccinations is practically unanimous among nurses, but less so among doctors and other healthcare professionals.

UNASSIGNED: COVID-19 geoperdize lives. Not all the risk factors for negative outcomes are known. Sarcopenia and frailty are common, negatively affecting clinical outcomes. Studies have shown that sarcopenia and frailty are associated with worse outcomes. Our objective was to examine whether low ALT (Alanine-aminotranferase), a surrogate marker for sarcopenia, is associated with worse clinical outcomes among hospitalized COVID-19 patients.
UNASSIGNED: We reviewed cases of COVID-19 in a tertiary hospital, during three COVID-19 waves and examined correlations between ALT and mortality using crude, univariate and multivariate analysis for age, gender, hypertension, Chronic obstructive pulmonary disease and Congestive heart failure.
UNASSIGNED: 357 patients were included in this analysis. Median age was 69, 54% were males. Median ALT was 19 IU/L. During follow-up, 73 (20%) died. Patients with low ALT were more likely to die (HR 1.82, 95% CI 1.06-3.09, P=0.028). Other predictors for mortality were low albumin, background COPD, dyslipidemia, dementia, and malignancy. The multivariate analysis showed that low ALT was still an independent predictor of poor prognosis (HR 1.7, 95% CI 1.0-2.9, P=0.049).
UNASSIGNED: In our analysis of COVID-19 patients, low ALT levels were independently associated with increased risk of mortality, both as standalone and when incorporated into a multivariate analysis.

This ambispective observational study, was conducted at a tertiary care centre in Central India. Children aged <16 y who tested positive for SARS-CoV2 between 1st April 2020 to 30th April 2022 were included. The prevalence of coronavirus disease-19 (COVID-19) infection was 1.2%. Of 525 children, median age was 60 mo; 88 (16.7%) were infants. Comorbidities were noted in 89 (16.9%) children. About 59% (n=309) were asymptomatic. Among symptomatic (n=216) children, fever (57.9%) was the most common symptom followed by cough (37%), running nose (21.3%) and shortness of breath (13.9%). Forty-three (8.2%) children required pediatric intensive care unit (PICU) admission, among which 21 required invasive ventilation. Patients with comorbidities were independently associated with need for invasive mechanical ventilation. Among PICU admitted children, 20 patients died. In multivariate logistic regression, children presenting with fever, shortness of breath and vasoactive requirement were found to be significantly associated with mortality. As the number of waves progressed, number of admissions were less but severity, association with comorbidities, need of ICU, mechanical ventilation and death rate increased.

COVID-19 has been a global pandemic since early 2020. It has diverse clinical manifestations, but consistent immunological and metabolic correlates of disease severity and protection are not clear. This study was undertaken to compare seropositivity rate, antibody levels against nucleocapsid and spike proteins, virus neutralization and metabolites between adult and child COVID-19 patients.
Plasma samples from naïve control (n=14) and reverse transcription (RT)-PCR positive COVID-19 participants (n=132) were tested for reactivity with nucleocapsid and spike proteins by ELISA, neutralization of SARS-CoV-2 infectivity in Vero cells and metabolites by [1]H nuclear magnetic resonance (NMR) spectroscopy.
An ELISA platform was developed using nucleocapsid and spike proteins for COVID-19 serosurvey. The participants showed greater seropositivity for nucleocapsid (72%) than spike (55.3%), and males showed higher seropositivity than females for both the proteins. Antibody levels to both the proteins were higher in intensive care unit (ICU) than ward patients. Children showed lower seropositivity and antibody levels than adults. In contrast to ICU adults (81.3%), ICU children (33.3%) showed lower seropositivity for spike. Notably, the neutralization efficiency correlated with levels of anti-nucleocapsid antibodies. The levels of plasma metabolites were perturbed differentially in COVID-19 patients as compared with the naive controls.
Our results reflect the complexity of human immune response and metabolome to SARS-CoV-2 infection. While innate and cellular immune responses are likely to be a major determinant of disease severity and protection, antibodies to multiple viral proteins likely affect COVID-19 pathogenesis. In children, not adults, lower seropositivity rate for spike was associated with disease severity.

Introduction COVID-19 pandemic has spread across the globe in the last two years and COVID-19 pneumonia is its typical presentation. Coronavirus (SARS-CoV-2) has the potential to affect extrapulmonary sites like the involvement of the urinary tract and male genital organs. Objectives This single institutional retrospective observational study aimed to study the effects of COVID-19 on the lower urinary tract (LUT) and male genital system. Methods COVID-19 effect on the genitourinary tract was studied in a retrospective observational setting in a tertiary care setting from March 2020 to December 2021 consisting of 110 patients. After informed consent from patients, retrospective data collection was included in a repository. Presenting features related to the genitourinary tract were noted and basic biochemical profiles like CBC, RFT, LFT, urine analysis, and urine culture for bacterial sensitivity were performed in all the patients affected by COVID-19. High-resolution ultrasound was sparingly used according to the clinical presentation of these COVID-19 patients. Results A total of 110 patients 95 males and 15 females were included in this study. De novo LUT symptoms were present in 10 (9.09%) patients and acute worsening of these was seen in three patients. Scrotal discomfort was the most common symptom among men found in five (5.26%) patients and frequency of urine was the overall most common symptom found in 13 (12.38%) patients also having two female patients. Among biochemical findings, microscopic hematuria in 68 (61.81%), pyuria in 72 (65.45%), and raised blood urea were observed in 41 (37.27%) patients with COVID-19. Ultrasound findings revealed acute epididymal-orchitis in 3 (3.15 %) and acute orchitis/epididymitis in one (1.05%) case, respectively. Conclusions COVID-19 patients do have the chance of developing the involvement of the urinary tract and male genital system and the clinicians should be aware of this so that they can manage these patients accordingly.

The global pandemic due to the outbreak of COVID-19 ravages the whole world for more than two years in which all the countries are suffering a lot since December 2019. In this article characteristics of a multi-wave SIR model have been studied which successfully explains the features of this pandemic waves in India. Origin of the multi-wave pattern in the solution of this model is explained. Stability of this model has been studied by identifying the equilibrium points as well as by finding the eigenvalues of the corresponding Jacobian matrices. In this model, a finite probability of the recovered people for becoming susceptible again is introduced which is found crucial for obtaining the oscillatory solution in other words. Which on the other hand incorporates the effect of new variants, like delta, omicron, etc in addition to the SARS-CoV-2 virus. The set of differential equations has been solved numerically in order to obtain the variation of susceptible, infected and removed populations with time. In this phenomenological study, some specific sets of parameters are chosen in order to explain the nonperiodic variation of infected population which is found necessary to capture the feature of epidemiological wave prevailing in India. The numerical estimations are compared with the actual cases along with the analytic results.