Explore the vast range of titles available.

Hospital wastewater has been identified as a hotspot for the emergence and transmission of multidrug-resistant (MDR) pathogens that present a serious threat to public health. Therefore, we investigated the current status of antibiotic resistance as well as the phenotypic and genotypic basis of biofilm formation in Pseudomonas aeruginosa from hospital wastewater in Dhaka, Bangladesh. The disc diffusion method and the crystal violet assay were performed to characterize antimicrobial resistance and biofilm formation, respectively. Biofilm and integron-associated genes were amplified by the polymerase chain reaction. Isolates exhibited varying degrees of resistance to different antibiotics, in which >80% of isolates showed sensitivity to meropenem, amikacin, and gentamicin. The results indicated that 93.82% of isolates were MDR and 71 out of 76 MDR isolates showed biofilm formation activities. We observed the high prevalence of biofilm-related genes, in which algD+pelF+pslD+ (82.7%) was found to be the prevalent biofilm genotypic pattern. Sixteen isolates (19.75%) possessed class 1 integron (int1) genes. However, statistical analysis revealed no significant association between biofilm formation and multidrug resistance (χ2 = 0.35, P = 0.55). Taken together, hospital wastewater in Dhaka city may act as a reservoir for MDR and biofilm-forming P. aeruginosa, and therefore, the adequate treatment of wastewater is recommended to reduce the occurrence of outbreaks.

Considering the ecological diversity of 'E. coli', the main aim of this study was to deter- mine the prevalence, phylogroup diversity, and antimicrobial susceptibility of 'E. coli' isolated from 383 different clinical and environmental sources. In total, varied prevalence was observed of the 197 confirmed 'E. coli' that were isolated (human-100%, animal-67.5%, prawn-49.23%, soil-30.58%, and water-27.88%). Of these isolates, 70 (36%) were multidrug-resistant (MDR). MDR 'E. coli' was significantly associated with their sources (χ2 = 29.853, p = 0.001). Humans (51.67%) and animals (51.85%) carried more MDR 'E. coli' than other environments. The eae gene indicative of recent fecal contamination was not detected in any isolate, indicating that these 'E. coli' isolates could be present in these environments for a long time and became naturalized. Phylogroup B1 (48.22%) was the predominant group, being present in all hosts analyzed and with the commensal 'E. coli' group A (26.9%) representing the second predominant group. According to chi-square analysis, phylogroup B1 was significantly associated with 'E. coli' from humans (p = 0.024), soil (p < 0.001) and prawn samples (p < 0.001). Human samples were significantly associated with phylogroup B1 (p = 0.024), D (p < 0.001), and F (p = 0.016) of E. coli strains, whereas phylogroup A (p < 0.001), C (p < 0.001), and E (p = 0.015) were associated with animal samples. Correspondence analysis results also indicated the association of these phylogroups with their hosts/sources. The findings of this study exhibited a non-random distribution of phylogenetic groups, though the diversity index was highest for human 'E. coli phylogroups'.

Purpose Identifying the factors influencing the preventive practices of the healthcare workers (HCWs) is crucial during the ongoing coronavirus disease 2019 (COVID‐19) because the HCWs are exposed to unparalleled levels of risks. Such concern is starting to be explored worldwide although there is only a single study available in Bangladesh with a limited scope of explorations of the domain. Therefore, this study aimed to identify the factors determining better preventive practices of HCWs toward COVID‐19. Materials and methods A cross‐sectional one‐to‐one survey was carried out using a validated questionnaire from December 15, 2020 to March 15, 2021 among a sample of 640 HCWs from Khulna, a southwestern division of Bangladesh, consisting of ten districts. The measures included socio‐demographics, knowledge, attitude, and preventive practices related information. A binary logistic regression analysis was conducted to identify factors determining preventive practices of HCWs toward COVID‐19. Results More than half of the respondents (62%) were following better preventive practices. Besides, around 70% of them had better knowledge and attitudes toward the disease. Regression analysis showed a number of major determining factors of the HCWs' better preventive practices including being a nurse or other professionals (ie, radiologists and pathologists), being graduates, working in coronavirus isolation units, managing COVID‐19 patients, having previous training, and having better attitudes toward COVID‐19. Conclusion The findings confirmed that the HCWs were generally practicing preventive manners although these trends followed were not at the standard level. So, providing guidance and information from authentic sources and organizing proper training could possibly enhance the preventive behavior in managing COVID‐19 patients.

Considering the ecological diversity of E. coli, the main aim of this study was to determine the prevalence, phylogroup diversity, and antimicrobial susceptibility of E. coli isolated from 383 different clinical and environmental sources. In total, varied prevalence was observed of the 197 confirmed E. coli that were isolated (human-100%, animal-67.5%, prawn-49.23%, soil-30.58%, and water-27.88%). Of these isolates, 70 (36%) were multidrug-resistant (MDR). MDR E. coli was significantly associated with their sources (χ[sup.2] = 29.853, p = 0.001). Humans (51.67%) and animals (51.85%) carried more MDR E. coli than other environments. The eae gene indicative of recent fecal contamination was not detected in any isolate, indicating that these E. coli isolates could be present in these environments for a long time and became naturalized. Phylogroup B1 (48.22%) was the predominant group, being present in all hosts analyzed and with the commensal E. coli group A (26.9%) representing the second predominant group. According to chi-square analysis, phylogroup B1 was significantly associated with E. coli from humans (p = 0.024), soil (p < 0.001) and prawn samples (p < 0.001). Human samples were significantly associated with phylogroup B1 (p = 0.024), D (p < 0.001), and F (p = 0.016) of E. coli strains, whereas phylogroup A (p < 0.001), C (p < 0.001), and E (p = 0.015) were associated with animal samples. Correspondence analysis results also indicated the association of these phylogroups with their hosts/sources. The findings of this study exhibited a non-random distribution of phylogenetic groups, though the diversity index was highest for human E. coli phylogroups.

Background: Nowadays, Health Care Professionals’ (HCPs) are increasingly using mobile phones which may act as reservoirs and vector for transmission of pathogens. The presence of multidrug resistant nosocomial microbes on the surface of mobile phones used by HCPs in hospitals can pose a great public health threat. So, this research was conducted to identify the concerned multi-drug resistant (MDR) bacteria and also to explore the recent status of bacterial contamination on mobile phones of HCPs in the Jashore region of Bangladesh and determine their antibiotic resistance pattern. Methods: Swab samples of mobile phones were collected between June and September 2019 from 24 different users (i.e., manager, worker, doctor and nurse) associated to four distinct hospitals of Jashore region, Bangladesh. After suitable morphological and biochemical identification, we determined their antimicrobial susceptibility by Kirby- Bauer disc diffusion method by using 18 antibiotics for Gram positive bacteria and 19 antibiotics for Gram negative bacteria. Later, the MDR isolates were grouped by amplified ribosomal DNA restriction analysis (ARDRA) and 16S rRNA sequencing with phylogeny were performed to confirm the bacteria at species level. Results: A total of 38 bacterial isolates were obtained from the sample. Enterobacter spp. isolates showed maximum resistance against Amoxicillin, followed by Ampicillin and Aztreonam (80% each) and one isolate showed highest antibiotic resistance (15 out of 19) among all the isolates. In addition, Staphylococcus spp. and Exiguobacterium spp. isolates showed 100% resistance against Penicillin, Ampicillin, Oxacillin, Erythromycin, Lincomycin and Cefotaxime. On the contrary, all of the isolates of Escherichia spp., Bacillus spp., Proteus spp. were sensitive to all tested antibiotics. Surprisingly, 20 MDR isolates were showing resistance to at least 2 antibiotics. Subsequently, three distinct genera of these MDR isolates were identified by ARDRA; the strains Enterobacter cloacae (75%), Staphylococcus warneri (15%) and Exiguobacterium aurantiacum (10%) were confirmed by the 16S rRNA phylogenetic analysis. Conclusion: We found that cell phones can act as reservoirs of multidrug-resistant pathogens, causative agents for Hospital-acquired infections. An effective hygiene practice for health care personnel should be introduced to prevent the cross-contamination by their cell phone Bangladesh Journal of Medical Science Vol. 22 No. 03 July’23 Page : 643-656