Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Introduction: Antimicrobial resistance is becoming a very concerning and challenging issue on a global scale nowadays. The rapid spread of drug-resistant pathogenic bacteria is a serious public health concern in both developed and developing countries, including Bangladesh. This study aimed to determine the prevalence of antibiotic-resistant pathogenic bacteria in pus samples and their multi-drug resistance (MDR) rate. Methods: A total of 891 pus positive samples were collected from the Lab Zone and Hormone center in Tangail, Bangladesh between January 2018 to March 2022.The standard microbiology culture method was used to process the samples, and the resulting bacterial isolates were confirmed by biochemical tests and gram staining to classify bacterial species into two large groups. Antimicrobial susceptibility tests were performed for the identified bacterial isolates using standard disk diffusion method. Results: Of the 891 samples collected, 71.83% (n=640) were male, and 28.17% (n=251) were female patients. Gram-negative bacteria were found in 70.37% (n=627) of the samples, while 29.63% were Gram-negative bacteria. Most of the isolates showed resistant to 3 or ≥3 classes of antibiotics and termed as Multi Drug Resistant (MDR) isolates. Among the Gram-negative bacterial isolates, Pseudomonas spp. was the most predominant 58.69% (n = 368), followed by Proteus spp. 15.15% (n = 95), and E. coli 14.83% (n = 93), Klebsiella spp. 10.21% (n = 64), Acinetobacter spp. 0.96% (n=6), Enterobacter 0.16% (n=1). On the other hand, in Gram-positive bacterial isolates, Enterococcus faecalis belonging to 39.02% (n=103) which is the most predominant followed by Staphylococcus aureus 30.68% (n=81), Staphylococcusspp. 29.16% (n=77), and Streptococcus spp. 1.14% (n=3). E. coli showed the highest resistance to Amoxicillin (AMC) and Acinetobacter showed the maximum resistance upon sixteen out of twenty antibiotics. These two bacteria displayed the most multidrug resistance (MDR) demonstrating E. coli (n=32, 34.41%) to eight different antibiotic classes, Acinetobacter (n=6,100%) to ten different antibiotic classes. Enterococcus faecalis was completely resistant to eight antibiotics out of twenty and Streptococcus spp displayed the highest resistance to cephradine (CH), cefixime (CFM), and cefuroxime (CXM). For a demonstration of Gram-positive bacterial isolates, Enterococcus faecalis (n=89, 86.41%) showed the highest resistance against eight different classes of antibiotics. Conclusion This study found a higher prevalence of MDR bacteria in pus samples which highlights empirical treatment should be followed judiciously. The study will also help doctors to make more informed decisions when selecting an antibiotic for the empirical treatment of various bacterial illnesses, as well as reduce community antibiotic abuse and overuse.
Introduction: Antimicrobial resistance is becoming a very concerning and challenging issue on a global scale nowadays. The rapid spread of drug-resistant pathogenic bacteria is a serious public health concern in both developed and developing countries, including Bangladesh. This study aimed to determine the prevalence of antibiotic-resistant pathogenic bacteria in pus samples and their multi-drug resistance (MDR) rate. Methods: A total of 891 pus positive samples were collected from the Lab Zone and Hormone center in Tangail, Bangladesh between January 2018 to March 2022.The standard microbiology culture method was used to process the samples, and the resulting bacterial isolates were confirmed by biochemical tests and gram staining to classify bacterial species into two large groups. Antimicrobial susceptibility tests were performed for the identified bacterial isolates using standard disk diffusion method. Results: Of the 891 samples collected, 71.83% (n=640) were male, and 28.17% (n=251) were female patients. Gram-negative bacteria were found in 70.37% (n=627) of the samples, while 29.63% were Gram-negative bacteria. Most of the isolates showed resistant to 3 or ≥3 classes of antibiotics and termed as Multi Drug Resistant (MDR) isolates. Among the Gram-negative bacterial isolates, Pseudomonas spp. was the most predominant 58.69% (n = 368), followed by Proteus spp. 15.15% (n = 95), and E. coli 14.83% (n = 93), Klebsiella spp. 10.21% (n = 64), Acinetobacter spp. 0.96% (n=6), Enterobacter 0.16% (n=1). On the other hand, in Gram-positive bacterial isolates, Enterococcus faecalis belonging to 39.02% (n=103) which is the most predominant followed by Staphylococcus aureus 30.68% (n=81), Staphylococcusspp. 29.16% (n=77), and Streptococcus spp. 1.14% (n=3). E. coli showed the highest resistance to Amoxicillin (AMC) and Acinetobacter showed the maximum resistance upon sixteen out of twenty antibiotics. These two bacteria displayed the most multidrug resistance (MDR) demonstrating E. coli (n=32, 34.41%) to eight different antibiotic classes, Acinetobacter (n=6,100%) to ten different antibiotic classes. Enterococcus faecalis was completely resistant to eight antibiotics out of twenty and Streptococcus spp displayed the highest resistance to cephradine (CH), cefixime (CFM), and cefuroxime (CXM). For a demonstration of Gram-positive bacterial isolates, Enterococcus faecalis (n=89, 86.41%) showed the highest resistance against eight different classes of antibiotics. Conclusion This study found a higher prevalence of MDR bacteria in pus samples which highlights empirical treatment should be followed judiciously. The study will also help doctors to make more informed decisions when selecting an antibiotic for the empirical treatment of various bacterial illnesses, as well as reduce community antibiotic abuse and overuse.
Bacteria with increase antibiotics resistant caused serious health treat worldwide. Regular surveillance of resistance spectra and clonal relationship of infectious bacteria are important for appropriate use of antibiotics. In this study, we investigated the antibiotic resistant pattern and clonal relationship of Enterobacter spp isolated from different clinical samples of a tertiary care hospital of Odisha, India. The results of this study indicated the presence of multidrug resistant Enterobacter spp with multiple β-lactamases production. The phylogenetic tree showed three unique clusters of ERIC within the nineteen Enterobacter spp. isolates.
Hypervirulent Klebsiella pneumonia (hvKP), typically linked with the hypermucoviscous phenotype, has evolved as a clinically significant pathogen responsible for catastrophic disseminated infections including osteomyelitis, pyogenic liver abscesses (PLA), and endophthalmitis in an otherwise younger and healthier population. Methods: Mansoura University Hospitals, Egypt have utilised VITEK® 2 to identify clinical K. pneumoniae isolates. The Kirby Bauer's disc diffusion method was employed to asses sensitivity to antimicrobial. String test for detecting microvasculitis, Serotyping, and Bio-typing are among the phenotypic methods employed. Polymerase chain reaction (PCR) was performed to amplify capsular serotype-specific genes (K1 and K2) as well as virulence-associated genes (rmpA and magA). Results: Over two-years, 100 hypermucoviscous phenotype K. pneumoniae and 100 classical K. pneumoniae strains were isolated and screened by string test. Hypermucoviscosity Serotyping revealed that 76 isolates had K1-type capsules, 19 had K2-type capsules, and 5 were non-K1/K2 isolates. Among the positive hypermucoviscusisolates, the prevalence of rmpA gene was 79 %, and magA gene was 40 %. Although, the prevalence of these two genes in classical Klebsiella pneumoniae (cKP) isolates was very low 11% and 7%, respectively. Aside from that, the occurrence of K capsular genes in hvKP isolates were; K1 gene 66% and K2 gene 63%.However, the occurrence of these genes in cKP isolates were limited. Conclusion: In our geographical area, hypervirulent Klebsiella pneumoniae hvKP isolates were infrequent among K. pneumoniae isolates (El-Mansoura, Egypt). This study summarized and concentrated on the epidemiology, hypervirulence-associated variables, and antibiotic resistance mechanisms of hvKP strains. This was done to let the microbiologist or clinician know that the infecting strain could be hvKP, which is more dangerous than cKP. As a result, detecting these hypervirulent strains, which harbor resistance variants, should be a top goal priority.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.