Background Following the pandemic caused by SARS-CoV-2, the emergence of and following the pandemic has required major modifications to healthcare systems and frameworks. Antimicrobials have more than a few potential roles in managing COVID-19. Experimental cures for the treatment of SARS-CoV-2 are being explored. The availability of limited data suggests that nosocomial infections are associated with a higher risk of death and severity of COVID-19. To fill this knowledge gap, we conducted a study to assess the spectrum of bacteriological isolates in different samples from COVID-19 patients. Our study aimed to evaluate the antibiotic resistance pattern of these bacterial isolates and compare the spectrum of bacteriological isolates in different samples and their antibiotic sensitivity pattern between COVID-19 and non-COVID-19 patients. Methodology An observational cross-sectional, partly retrospective, and partly prospective study was carried out in the bacteriology section of the Department of Microbiology, Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, for a total duration of six months from February 2021 to July 2021. The profile of pathogens isolated from 105 clinical samples from COVID-19 patients was studied. To detect COVID-19, RT-PCR was performed. All clinical specimens (urine, blood, pus, respiratory sample, etc.) were processed and cultured on different media to support the growth of the bacteria as per our standard operating procedures (SOP) for bacteriology samples. Antimicrobial susceptibility testing was carried out based on the Clinical and Laboratory Standards Institute. Results A total of 105 clinical samples were received in the bacteriology section of the Department of Microbiology, IGIMS, Patna, Bihar, from admitted COVID-19 patients. The mean age of study participants was 51.57 ± 14.76 years, and males (66.7%, 70/105) were more than females (33.3%, 35/105). The majority of the patients were 91 out of 105 (86.67%) from the ward and 14 from the ICU (13.33%). Of the total samples tested, 62 (59%) were urine samples, 26 (24.8%) were respiratory specimens, 13 (12.4%) were pus samples, 3 (2.9%) were body fluids, and 1 (1%) were tissue samples. Among the total pathogen isolates (n=57) obtained from patients with SARS-CoV-2 admitted to the ward and ICU, 56.14% (32) were gram-negative, 26.31% (15) were Candida, and 17.54% (10) were gram-positive pathogens. The most isolated pathogen was Escherichia coli (39.02%, 16/41) followed by Klebsiella pneumoniae (29.26%, 12/41), Acinetobacter baumannii (7.31%, 3/41), and Enterobacter cloacae (2.43%, 1/41). Enterococcus spp. as gram-positive bacteria were isolated in 21.95% (9/41) of patients. Among the gram-negative bacteria (Enterobacterales), the highest resistance was seen in ampicillin (100%,29/29). For non-Enterobacterales, the highest resistance was seen in ceftriaxone (66.66%,2/3). Enterococcus spp. showed maximum ciprofloxacin, and gentamicin (high level) resistance was 100% (9/9). Conclusion Secondary infections with resistant pathogens in COVID-19 patients highlight the importance of antimicrobial management programs focused on the optimal selection of empirical treatments based on culture reports.
Keywords: amr surveillance; antimicrobial sensitivity; ast pattern; covid-19; multidrug resistant (mdr).
Copyright © 2023, Arun et al.