COVID-19 outbreak is major pandemic affecting lakhs of people all across the globe. Along with other nonspecific clinical features, reports mention anosmia to be an important symptom in COVID-19 positive patients. To study the prevalence of anosmia in confirmed COVID-19 patients, in Indian population and to ascertain its significance as a symptom of COVID 19. Study was done at a tertiary care COVID treating hospital. While eliciting detailed history from Covid-19 positive patients, all patients were asked about symptom of anosmia. Same was asked from control group of subjects who were COVID-19 negative. The history of anosmia was also elicited on discharge after the patients tested negative for COVID-19. 74 patients formed part of the study. 11 of 74 (14.8%) patients had anosmia. On using the chi square test for significance the difference was significant (p \ .01), suggesting anosmia to be a significant clinical feature in COVID-19 patients. On comparing with world literature it was observed that the prevalence of anosmia is higher in European population as compared to Indian Also the symptom of anosmia improved when the patient recovered from the disease. Prevalence of new onset anosmia in Indian population with COVID-19 is 14.8%. Symptom of anosmia in present times should be considered as a important clinical feature and should raise a suspicion of COVID-19. The prevalence of anosmia in Indian population is much lesser than that reported in European population.

Purpose To compare the corneal biomechanical parameters between pseudoexfoliation glaucoma (PXG), primary open-angle glaucoma (POAG) and healthy controls using Corvis ST. Methods A prospective, cross-sectional study was conducted which included 132 treatment-naïve eyes which underwent Corvis ST. The study cohort comprised of 44 eyes with PXG, 42 eyes with POAG and 46 healthy controls. Corneal biomechanical parameters, which included corneal velocities, length of corneal applanated surface, deformation amplitude (DA), peak distance and radius of curvature, were compared between the groups using analysis of variance models. Results The 3 groups were demographically similar. The mean IOP was 15.7 ±3 mmHg in the control group, 21.3 ±5 mmHg in the POAG group and 25.8 ±7 mmHg in the PXG group (p<0.0001). Corneal pachymetry was similar across the 3 groups. Mean DA was significantly lower (p<0.0001) in the PXG group (0.86 ±0.18 mm) compared to the POAG group (0.97 ±0.14mm) and the control group (1.10 ±0.15mm). Corneal velocities were also found to be statistically significantly different between the groups. However, after adjusting for IOP, there was no difference in any of the biomechanical parameters between the 3 groups. Conclusion Corneal biomechanical parameters measured on Corvis ST are not different between eyes with PXG, POAG and healthy controls after adjusting for IOP.

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