Profile of Secondary Bacterial and Fungal Infections in Hospitalized COVID-19 Patients in a Tertiary Care Centre

Archana Bhat K,1 Deepak Madi,2 Sevitha Bhat,1 Therese Mary,3 Shalini Shenoy Mulki,1 Himani Kotian4 1Department of Microbiology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; 2Department of Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; 3Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; 4Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaCorrespondence: Sevitha Bhat, Department of Microbiology Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India, Tel +91 9449831631, Email sevitha.bhat@manipal.eduIntroduction: SARS CoV-2, a novel corona virus, has emerged in December 2019. The COVID-19 associated mortality is documented in elderly with co morbidities. To have better insight on this issue, the secondary bacterial infections with multi-drug-resistant bacteria in COVID-19 patients need to be studied to evaluate the impact of these infections on the outcome.Aim and objectives: To determine the proportion of secondary infections in COVID-19 patients. To study the spectrum of pathogens and antibiogram of the bacteria isolated from secondary infections in such patients. To evaluate the co-existing co-morbidities, treatment and outcome in these patients.Methodology: The retrospective study was conducted in Departments of Medicine and Microbiology, KMC hospitals Attavara and Ambedkar circle, Mangaluru, including all the hospitalized microbiologically confirmed cases of SARS CoV-2 infection. Details pertaining to the study population were collected using a structured proforma. Descriptive data were entered in the form of mean, median and proportions. The categorical values were analyzed using Chi square test. Values of p < 0.05 were considered as statistically significant.Results