Raised D-dimer among Admitted COVID-19 Patients in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Introduction: Patients with COVID-19 are characterised by abnormal levels of inflammatory biomarkers. Elevated D-dimer in COVID-19 patients is associated with increased mortality. This study aimed to find out the prevalence of raised D-dimer among COVID-19 patients in a tertiary care centre. Methods: This descriptive cross-sectional study was conducted in COVID-19 unit of a tertiary care centre from 23 January 2021 to 19 June 2021. The ethical approval was taken from the Institutional Review Committee (Reference number: 077/078/159). D-dimer values and demographic data of the hospital-admitted COVID-19 patients were recorded. Convenience sampling technique was used. Point estimate and 95% Confidence Interval were calculated. Results: Out of 180 patients with COVID-19 admitted in the hospital, the D-dimer levels were raised in 85 (47.22%) (39.93-54.51, 95% Confidence Interval) patients. Conclusions: The prevalence of raised D-dimer among admitted COVID-19 patients was found to be lower when compared to other studies conducted in similar settings. Keywords: COVID-19; D-dimer; Nepal; prevalence.

Anxiety and Depression Among Health Sciences Students in Home Quarantine During the COVID-19 Pandemic in Selected Provinces of Nepal.

Aim: This study aimed to assess anxiety and depression among health sciences students at home quarantine during the COVID-19 pandemic in selected provinces of Nepal. Methods: A web-based cross-sectional study was conducted among 409 health science students enrolled at graduate and post-graduate levels in selected universities and their affiliated colleges. Students from selected colleges were asked to fill out a survey, that was made available through email and social media outlets such as Facebook and Viber. The data were downloaded in Excel and imported to SPSS version 16 for analysis. Results : The prevalence of anxiety and depression was 15.7 and 10.7%, respectively. The study showed significant associations between (i) place of province and anxiety; (ii) sleep per day and depression; (iii) hours spent on the internet per day for education and depression; (iv) postponement of final exams and depression. There were no significant associations with the socio-demographic variables. Conclusion: Anxiety and depression in health science students showed correlation with the province, internet use for education, and postponement of exams. These correlations could be common among students in other fields as well. A large-scale study covering a wider geographical area and various fields of education is necessary to further evaluate the impact of COVID-19 on (health sciences) students. The integration of mental health programs both as an intervention and a curriculum level among students is critical to ensure the health of the students.