Samples of lipopolysaccharide (LPS) from 17 strains of Haemophilus ducreyi were analysed using the techniques of SDS‐polyacrylamide gel electrophoresis and silver staining. All 17 LPS samples produced low molecular weight bands on silver‐stained gels indicating that they lacked O‐antigenic carbohydrate side chains. Some degree of inter‐strain heterogeneity in the LPS banding patterns was also observed.
Background – COVID-19 has been a global pandemic since its inception more than two years ago due to rapid transmission in humans. It can cause severe respiratory illness which may lead to death. As it is a novel disease, there are many speculations regarding its diagnosis and management. Thus, this study was planned with an aim to evaluate the role of D-dimer as a marker in predicting poor prognosis in COVID-19 patients. Materials and methods – This was a prospective, observational study carried out for a duration of three months in Unique hospital. The patients of 18 years and above diagnosed with severe COVID-19 disease diagnosed by clinical and radiological picture by pulmonologist were included in the study. Their demographic details were recorded and blood samples were taken once on the day of admission and second time on 5th day. Routine laboratory tests along with D-dimer were performed. The data was statistically analyzed using receiver operating curves to evaluate cut-off values of D-dimer. The patients were divided into two groups based on cut-off values of D-dimer on day of admission and day 5 post admission.
Background: Mental health issues impact people's quality of life worldwide, and educational pressure, sadness, and depression have caused unprecedented risks to mental health among medical college students. The present study aims at finding the factors responsible for mental stress and suicide among medical students. Methodology: A cross-sectional research approach was used to assess the effect of stress on mental health among students. A total of 60 completed questionnaries were collected from random students and were used for the analysis. The survey included 17 close-ended questions targeting demographics, potential stressors, coping mechanisms, and patient health questionnaire-9 (PHQ-9) for screening, diagnosing, monitoring, and measuring depression, anxiety, and stress. The study's findings were analysed in Microsoft Excel, and descriptive statistics were calculated. Results: Frequency distribution showed that 22-23 year age group showed maximum stress (37.2%) amongst other age groups. The main factor responsible for anxiety and suicide in students includes academic pressure (40%), followed by relationship issues (8.3%). Around 45% of the population feel depressive for several days. Approximately 3.3% of the population has suicidal tendencies nearly every day and should be evaluated for suicide ideation by an expert and should be guided for counselling.
Conclusion:The study exhibited 45% of the individuals to have at least one symptom of depression, anxiety, or stress. Overall, our results pointed out students' mental health problems and suggestions that may help build better mental health monitoring programs and treatment methods for the future.
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