Background: The current COVID 19 pandemic has affected 29.1 million people worldwide out of which 4.2% have been fatal cases. In India, Mumbai has shown some of the highest fatalities, with rate reaching 5.4%. There is a need to study different characteristics of patients diagnosed with COVID 19, in order to gain more insights of this disease to plan preventive as well as therapeutic protocols.
Materials and methods: We conducted a retrospective study including patients admitted at NeuroGen Brain and Spine Institute, a dedicated COVID-19 hospital with 75 beds, including 20 ICU beds from 05.06.2020 to 24.08.2020. We included patients of all genders and age groups which were diagnosed based on COVID RT-PCR/chest CT scan/X-ray findings corroborating clinical features and blood biomarkers. We explored the effect of age, gender, comorbidities, diet and baseline serum biomarkers on severity and outcome of the disease using a percentage analysis, Pearson’s correlation analysis. We also used a percentage analysis to calculate the frequency of symptoms occurrence, effect of different medicines on outcome of the disease.
Results and conclusion: 70.93% of the patients recovered without any progression of the disease, 20.89% of the patients progressed in severity of the disease during the course of hospital admission however, recovered completely. We observed a mortality rate of 4.7% which was much lesser than the current average mortality in the region. Multiple factors like age, gender, presence of comorbidities like diabetes and hypertension were found to be responsible for increased severity of the disease along with symptoms like fever, breathlessness and cough. Biomarkers like CRP and IL-6 showed significant correlation with the severity of the disease. This study provides insight of various aspects of COVID-19 in hospitalized patients.
Impact Factor
2022: 6.012
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