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The likelihood of antimicrobial failure in COVID-19 patients with bacterial superinfection arises from both phenotypic (biofilms) and genotypic mechanisms. This cross-sectional study aimed to determine the inhibitory concentrations of quinolones-nalidixic acid, norfloxacin, ciprofloxacin, ofloxacin, and levofloxacin-in biofilm formers (minimum biofilm inhibitory concentration [MBIC]) and nonformers (minimum inhibitory concentration [MIC]) and correlate inhibitory concentrations with plasmid-mediated quinolone resistance (PMQR) genes in quinolone-resistant bacteria isolated from COVID-19 inpatients. Quinolone-resistant bacteria (n = 193), verified through disc diffusion, were tested for quinolone inhibitory concentrations using broth microdilution and biofilm formation using microtiter plate methods. The polymerase chain reaction was used to detect PMQR genes. Study variables were analyzed using SPSS v.17.0, with a significance level set at P <0.05. MIC-to-MBIC median fold increases for ciprofloxacin, ofloxacin, and levofloxacin were 128 (2-8,192), 64 (4-1,024), and 32 (4-512) in gram-positive cocci (GPC, n = 43), respectively, whereas they were 32 (4-8,192), 32 (4-2,048), and 16 (2-1,024) in fermentative gram-negative bacilli (F-GNB, n = 126) and 16 (4-4,096), 64 (2-64), and 16 (8-512) in nonfermentative gram-negative bacilli (NF-GNB, n = 24). In biofilm-forming F-GNB and NF-GNB, qnrB (10/32 versus 3/10), aac(6')-Ib-cr (10/32 versus 4/10), and qnrS (9/32 versus 0/10) genes were detected. A 32-fold median increase in the MIC-to-MBIC of ciprofloxacin was significantly (P <0.05) associated with qnrA in F-GNB and qnrS in NF-GNB. Biofilms formed by F-GNB and NF-GNB were significantly associated with the aac(6')-Ib-cr and qnrS genes, respectively. Nearly one-third of the superinfecting bacteria in COVID-19 patients formed biofilms and had at least one PMQR gene, thus increasing the need for quinolones at higher inhibitory concentrations.

Clinicians face a global challenge treating infections caused by Enterobacteriaceae because of the high rate of antibiotic resistance. This cross-sectional study from the Nepal Armed Police Force Hospital, Kathmandu, Nepal, characterized resistance patterns in Enterobacteriaceae across different antimicrobial classes and assessed incidences of multidrug-resistant (MDR) and extensively drug-resistant (XDR) infections. Enterobacteriaceae from clinical samples were isolated on blood and MacConkey agar, except for urine samples on cysteine lactose electrolyte-deficient agar. To determine antimicrobial susceptibility patterns, including MDR and XDR, the Kirby-Bauer disc diffusion method was used. Statistics were performed using SPSS, v. 17.0. Members of the family were identified in 14.5% (95% CI: 16.2-12.8%) of the total samples (N = 1,617), primarily in urine (54.7%, 128/234), blood (19.7%, 46/234), and sputum (15.0%, 35/234). Escherichia coli (n = 118, 44.2%) was the most predominant bacteria, followed by Citrobacter freundii (n = 81, 30.3%). As much as 95.6% (392/410) of the isolates were penicillin-resistant, whereas only 36.2% (290/801) were carbapenem-resistant. A total of 96 (36.0%) MDR and 98 (36.7%) XDR Enterobacteriaceae were identified. Proteus mirabilis (44.4%, 8/18) predominated MDR cultures, whereas C. freundii (53.1%, 43/81) predominated XDR cultures. Multidrug resistant (38.4%, 71/154) and XDR Enterobacteriaceae (22.7%, 35/154) were chiefly uropathogens. Fluoroquinolone resistance rates in non-MDR, MDR, and XDR isolates were 19.9%, 63.2%, and 96.2%, respectively, whereas cephalosporin resistance rates were 28.6%, 72.9%, and 95.4% and penicillin resistance rates were 67.0%, 97.4%, and 98.0%. One-seventh of patients visiting the hospital were found to be infected with Enterobacteriaceae, and of these patients, at least one-fourth were infected with MDR strains.