IntroductionDeep vein thrombosis (DVT) and pulmonary embolism (PE) are key complications of coronavirus disease 2019 . The study's primary outcome was assessing the utility of Wells DVT, Wells PE scores, and D-dimers in diagnosing DVT and PE. Secondary outcomes were the risk factors for the development of PE and DVT in COVID-19 patients. Materials and methodsWe compared COVID-19 patients with a positive and negative lower extremity (LE) duplex. A similar approach was made for patients who underwent imaging for PE. ConclusionsThe combined approach of using a Wells DVT score of 3 in suspected DVT and Wells PE score of 4 in suspected PE and D-dimers of 500 ng/ml may be used to diagnose PE and DVT in COVID-19. Venous thromboembolism (VTE) occurrence in COVID-19 is associated with non-traditional risk factors such as intubation and higher severity of systemic inflammation, and these patients may benefit from more aggressive testing for VTE.

Covid-19 due to Sars-Cov-2 infection has reached pandemic proportion. Many healthcare workers are involved in managing both COVID-suspected and confirmed cases. It is mandatory for healthcare workers to have droplet and contact precautions by means of Personal protective equipment (PPE), facemask, face shield or eye protection. Prolonged usage of medical mask results in various adverse effects. This study is an attempt to know the common effects of prolonged face mask in healthcare workers and its resultant quality-of-life (QOL). To study the common effects of prolonged face mask and its impact on QOL of healthcare workers during the COVID 19 crisis. This was a prospective cross-sectional study conducted over 6 months among 2750 healthcare workers. A questionnaire requesting demographic details and most common side effects after prolonged usage of face mask was circulated. We also attached a short form-12 (sf-12) questionnaire to assess its impact on QOL. Out of 2750 personnel, 299 were excluded. Male preponderance was noted. Study was conducted on candidates using 3ply mask or above. Age range was between 18 and 65 years with mean age being 37.61 ± 15.23 in mask users < 5 h per day, 32.2 ± 10.02 in 5–10 h group and 30.19 ± 8.15 in 10 h group. 8.48% (n = 174) had comorbidities. QOL impacted. The complaints with face mask use definitely are troublesome with increase in severity with duration of mask usage. This definitely has a proportional impact on the healthcare workers’ QOL.

Corona virus disease was first reported in December 2019 in Wuhan, China and is spreading across the world in an alarming fashion. To contain the spread, it is very important to identify the subtle/not readily apparent symptoms of COVID-19 at the earliest. The aim of the study is to determine the incidence duration progress of sino-nasal symptoms in COV 2 positive patients using SNAQ scoring. Patients who tested positive for SARS-COV 2 by RT-PCR and admitted in our hospital under category A (n = 382) were included in the study. A detailed history was collected from all the patients and sino-nasal assessment questionnaire (SNAQ) was provided to the patient with complaints of sinonasal symptoms and they were asked to fill the forms on day 3, 7 and 14. To identify the characteristics of sinonasal symptoms in COVID-19 patients with a history of smoking, smoking history was also collected in detail and patients were classified based on Brinkman’s index into mild, moderate and severe smokers. In this study, the incidence of sinonasal symptoms was 24%. Average SNAQ scoring on day 3 was 30.09 and on day 7 was 12.9 and day 14 is 3.8. There was a decline in score on day 7 compared to day 3 indicating symptoms decrease by day7. Average SNAQ scoring in non-smokers and mild and moderate smokers was 20.18, 34.11, 57.5 respectively. The SNAQ scoring in smokers was more than that of non-smokers and was also persistent for a longer duration compared to non-smokers. Sino-nasal symptoms catch our eye because it is an important route for transmission. Viral shedding from sinonasal tract may be an important source for transmission. History and degree of smoking should also be considered while dividing COVID-19 patients into categories.

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