ABSTRACT
The ongoing pandemic has increased stress and problems for people of all age groups. There has been a drastic change in the life of people due to this pandemic because of which they are suffering from mental stress, financial problems, anxiety, etc. Different measures such as lockdown and social distancing were adopted by almost every country to control the pandemic. People have lost jobs, have got salary cuts, and are suffering from great financial losses due to these measures which are causing mental stress to the people. The youth is also facing much problems due to closing of educational institutions, sudden shift toward online mode of education, and nonavailability of jobs due to falling economy in COVID. Hence, we prepared a questionnaire about the problems faced by people. The questions were divided into three sections - education, health, and lifestyle. The questionnaire was filled by individuals in the age group of 17-30 years in India. Responses were collected and analyzed using statistical techniques and machine learning algorithms such as KNN, logistic regression, and SVM. To compare the situations of the people in India with that in the other parts of the globe, we extracted data from Twitter. The results were plotted graphically to get a better understanding of data and the result set. Accuracy was calculated, and a confusion matrix was drawn to validate our calculations and conclusions. © 2022 selection and editorial matter, Shivani Bali, Sugandha Aggarwal, Sunil Sharma;individual chapters, the contributors.
ABSTRACT
Coronavirus disease 2019 (COVID-19) is a new infectious disease that has spread rapidly throughout the world. The disease is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a member of the Coronaviridae family. Though the pulmonary involvement is a major cause of morbidity and mortality, involvement of the gastrointestinal tract, liver, and pancreas has been explained in these patients. The literature is rapidly changing because of influx of new information with every passage of time. The most common hepatic presentation is mild elevation of aspartate transaminase and alanine transaminase, which does not require specific treatment. Occasionally, patients can have severe liver injury. Because of underlying predisposing factors such as diabetes mellitus, hypertension, and obesity, patients with nonalcoholic liver disease may be at risk of severe disease. Patients with decompensated liver disease may also be vulnerable to severe disease. Behavior of SARS-CoV-2 in patients with chronic hepatitis B and C, autoimmune hepatitis, primary sclerosing cholangitis, and primary biliary cirrhosis is yet to be seen. The prevalence and severity of COVID-19 patients with the aforementioned diseases may be different. The effect of SARS-CoV-2 on an underlying liver disease is not known. COVID-19 may complicate the peritransplant period and throw new challenges in these patients. Drugs used to treat severe COVID-19 may cause liver injury and may have an effect on the underlying disease activity. Both hepatic and pancreatic involvement is related to the severity of COVID-19 disease. Serum amylase and lipase levels may be elevated in patients with severe COVID-19 disease. The involvement of pancreatic islet cells may lead to deranged blood sugar levels and potentially predispose to future diabetes mellitus. There are many unknown facts that will unfold with the passage of time.
ABSTRACT
Understanding the pathophysiology of the coronavirus disease 2019 (COVID-19) infection remains a significant challenge of our times. The gingival crevicular fluid being representative of systemic status and having a proven track record of detecting viruses and biomarkers forms a logical basis for evaluating the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The study aimed to assess gingival crevicular fluid (GCF) for evidence of SARS-CoV-2 in 33 patients who were deemed to be COVID-19 positive upon nasopharyngeal sampling. An attempt was also made to comparatively evaluate it with saliva in terms of its sensitivity, as a diagnostic fluid for SARS-CoV-2. GCF and saliva samples were collected from 33 COVID-19-confirmed patients. Total RNA was extracted using NucliSENS easyMAG (bioMérieux) and eluted in the elution buffer. Envelope gene (E gene) of SARS-CoV-2 and human RNase P gene as internal control were detected in GCF samples by using the TRUPCR SARS-CoV-2 RT qPCR kit V-2.0 (I) in an Applied Biosystems 7500 real-time machine. A significant majority of both asymptomatic and mildly symptomatic patients exhibited the presence of the novel coronavirus in their GCF samples. Considering the presence of SARS-CoV-2 RNA in the nasopharyngeal swab sampling as gold standard, the sensitivity of GCF and saliva, respectively, was 63.64% (confidence interval [CI], 45.1% to 79.60%) and 64.52% (CI, 45.37% to 80.77%). GCF was found to be comparable to saliva in terms of its sensitivity to detect SARS-CoV-2. Saliva samples tested positive in 3 of the 12 patients whose GCF tested negative, and likewise GCF tested positive for 2 of the 11 patients whose saliva tested negative on real-time reverse transcription polymerase chain reaction. The results establish GCF as a possible mode of transmission of SARS-CoV-2, which is the first such report in the literature, and also provide the first quantifiable evidence pointing toward a link between the COVID-19 infection and oral health.