ANTIBIOTIC RESISTANCE PATTERNS OF MULTIDRUG RESISTANT AND EXTENDED-SPECTRUM Β-LACTAMASE PRODUCING ESHCHERICHIA COLI URINARY ISOLATES AT QUEEN RANIA AL-ABDULLAH HOSPITALFOR CHILDREN, JORDAN

2013 ◽  
Vol 19 (5) ◽  
pp. 1-8
Author(s):  
Adel Batarseh ◽  
Suhaa Soneah ◽  
Reham Mardeni ◽  
Khaled Elmadni ◽  
Mohammad noor ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Multidrug Resistant ◽  
Extended Spectrum ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns ◽  
Urinary Isolates

scholarly journals Report of Antibiotic Resistance in Urban and Rural Wastewaters from West Bengal, India

2021 ◽  
pp. 274-285
Author(s):  
Meesha Singh ◽  
Rupsha Karmakar ◽  
Sayak Ganguli ◽  
Mahashweta Mitra Ghosh
Keyword(s):  
Antibiotic Resistance ◽  
Biochemical Characterization ◽  
Chemical Properties ◽  
Multidrug Resistant ◽  
Resistant Bacteria ◽  
Medical Facility ◽  
Antibiotic Resistant ◽  
Two Samples ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

Aims: This study aims at comparative identification of antibiotic resistance patterns in bacteria isolated from samples collected from rural environment (LS) and urban environments (SS). Metagenomic profiling gave us insights into the microbial abundance of the two samples. This study focused on culture-based methods for complete identification of antibiotic resistant isolates and estimation of comparative antibiotic resistance among the two samples. Study Design: Untreated medical waste and anthropogenic waste disposal can lead to the propagation of different antibiotic resistant strains in wastewater environments both in urban and rural set ups which provide an insight towards this study approach mentioned in the methodology segment. Place and Duration of Study: Sewer system of a medical facility located in Purulia, India was the collection site for liquid sludge. Solid sludge and associated wastewater were collected in vicinity of a large urban medical facility from central Kolkata, India. Methodology: Physico-chemical properties were analyzed followed by microbiological and biochemical characterization. The antibiotic resistance patterns were determined by Kirby-Bauer disc diffusion assay. Potent multidrug resistant isolates were identified using 16srRNA gene amplification followed by Phylogenetic profiling, using CLC Genomics workbench. Results: We observed maximum resistance in an E. coli isolate which was resistant up to 22 antibiotics. Combined data for resistance from urban and rural samples were found to exhibit 83.9% resistance to beta lactams, 85.7% to macrolides, 44.2% to fluoroquinolones, 50% to glycopeptides and cephalosporins, 35.7 % to carbapenems and sulfonamides, 28.5 % to tetracycline, and 23.8 % to aminoglycosides. Conclusion: The high prevalence of antibiotic-resistant bacteria harbouring diverse resistance traits across samples indicated towards probable horizontal gene transfer across environmental niches. This study can prove to be useful to understand and map the patterns of resistance and stringently apply the counter measures related to public health practices.

scholarly journals 1602. Antibiotic Resistance Patterns of Clinical Escherichia coli Urinary Isolates by Outpatient Practice Type

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S584-S584
Author(s):  
Lauren Frisbie ◽  
Scott Weissman ◽  
Hema Kapoor ◽  
Marisa A D’Angeli ◽  
Ann Salm ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Antibiotic Resistance ◽  
Antibiotic Stewardship ◽  
Prescribing Practices ◽  
Patient Morbidity ◽  
Resistance Patterns ◽  
Outpatient Practice ◽  
Outpatient Settings ◽  
Antibiotic Resistance Patterns ◽  
Urinary Isolates

Abstract Background Antibiotic-resistant E. coli (EC) infections represent a major cause of morbidity and mortality, and pose a challenge to antibiotic stewardship. At present, clinicians in outpatient facilities may not have access to local antibiogram data to guide stewardship. Additionally, antibiotic resistance may vary between types of outpatient practices. Methods Using the database of a major clinical reference lab, this study analyzed several years of antibiotic susceptibility results for outpatient urinary EC isolates from Washington State. We compared rates of resistance to antibiotics between different types of outpatient practices, categorized using a modification of published ambulatory practice categories. Logistic regression was used to examine the association of outpatient practice type with antibiotic resistance, controlling year, sex, and age. Results After adjusting for year, sex, and age, logistic regression found significantly higher odds of resistance in urology compared with the reference groups of general family practice for ampicillin (OR 1.35), ciprofloxacin (OR 2.27), trimethoprim-sulfa (OR 1.51) and gentamicin (OR 1.73). We also saw increased odds of resistance to ciprofloxacin in patients from an oncology clinic (OR 1.56) as well as patients from “All other specialties” (OR 1.37). A lower odds of resistance was found in OBGYN clinics for ampicillin (OR 0.86), trimethoprim-sulfa (0.81) while a greater odds or resistance in OBGYN clinics was found for nitrofurantoin (OR 1.36). Conclusion Antibiotic resistance in EC urinary isolates can vary across types of outpatient practices according to clinical practice type. This may reflect differences in patient morbidity and/or differences in antibiotic stewardship practices and deserves further investigation. Patients with recurrent cases of resistant UTIs are generally referred to a urologist, and this was reflected in our data as there a higher odds of resistance was found in urology clinics. Similarly, we found higher odds of resistance into nitrofurantoin, a commonly prescribed antibiotic for UTIs in pregnant women, in OBGYN clinics that may reflect prescribing practices. Use of clinical data to create facility and specialty-specific antibiograms in outpatient settings may enable improved and “precise” antibiotic stewardship. Disclosures All authors: No reported disclosures.

scholarly journals Antibiotic resistance in patients with chronic ear discharge awaiting surgery in Nepal

2021 ◽  
Vol 11 (1) ◽  
pp. 1-5
Author(s):  
R. R. Karn ◽  
R. Acharya ◽  
A. K. Rajbanshi ◽  
S. K. Singh ◽  
S. K. Thakur ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Multidrug Resistant ◽  
Bacterial Isolates ◽  
Hospital Data ◽  
Ear Surgery ◽  
Suppurative Otitis Media ◽  
Cross Border ◽  
Cortical Mastoidectomy ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

SETTING: Biratnagar Eye Hospital, Biratnagar, Nepal, which offers ear surgery for chronic suppurative otitis media (CSOM).OBJECTIVE: In patients with CSOM awaiting surgery, to determine the 1) sociodemographic characteristics 2) bacterial isolates and their antibiotic resistance patterns and 3) characteristics of those refused surgery, including antibiotic resistance.DESIGN: A cohort study using hospital data, January 2018–January 2020.RESULTS: Of 117 patients with CSOM and awaiting surgery, 64% were in the 18–35 years age group, and 79% were cross-border from India. Of 118 bacterial isolates, 80% had Pseudomonas aeruginosa and 16% had Staphylococcus aureus. All isolates showed multidrug resistance to nine of the 12 antibiotics tested. The lowest antibiotic resistance in P. aeruginosa was for vancomycin (29%) and moxifloxacin (36%), and for S. aureus, this was vancomycin (9%) and amikacin (17%). Fourteen (12%) patients underwent surgery: myringoplasty (n = 7, 50%), cortical mastoidectomy with tympanostomy (n = 4, 29%) and modified radical mastoidectomy (n = 3, 21%). Those infected with P. aeruginosa and with resistance to over six antibiotics were significantly more likely to be refused for surgery.CONCLUSION: Patients awaiting ear surgery were predominantly infected with multidrug-resistant P. aeruginosa and were consequently refused surgery. This study can help inform efforts for improving surgical uptake and introducing cross-border antimicrobial resistance surveillance.

scholarly journals Role of CRISPR-Cas system on antibiotic resistance patterns of Enterococcus faecalis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Pourya Gholizadeh ◽  
Mohammad Aghazadeh ◽  
Reza Ghotaslou ◽  
Mohammad Ahangarzadeh Rezaee ◽  
Tahereh Pirzadeh ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Enterococcus Faecalis ◽  
Random Amplified Polymorphic Dna ◽  
Antibiotic Resistance Genes ◽  
Drug Susceptibility ◽  
Multidrug Resistant ◽  
Rapd Pcr ◽  
Resistance Patterns ◽  
Tract Infections ◽  
Antibiotic Resistance Patterns

AbstractClustered regularly interspaced short palindromic repeat (CRISPR)-Cas systems are one of the factors which can contribute to limiting the development and evolution of antibiotic resistance in bacteria. There are three genomic loci of CRISPR-Cas in Enterococcus faecalis. In this study, we aimed to assess correlation of the CRISPR-Cas system distribution with the acquisition of antibiotic resistance among E. faecalis isolates. A total of 151 isolates of E. faecalis were collected from urinary tract infections (UTI) and dental-root canal (DRC). All isolates were screened for phenotypic antibiotic resistance. In addition, antibiotic resistance genes and CRISPR loci were screened by using polymerase chain reaction. Genomic background of the isolates was identified by random amplified polymorphic DNA (RAPD)-PCR. The number of multidrug-resistant E. faecalis strains were higher in UTI isolates than in DRC isolates. RAPD-PCR confirmed that genomic background was diverse in UTI and DRC isolates used in this study. CRISPR loci were highly accumulated in gentamycin-, teicoplanin-, erythromycin-, and tetracycline-susceptible strains. In concordance with drug susceptibility, smaller number of CRISPR loci were identified in vanA, tetM, ermB, aac6’-aph(2”), aadE, and ant(6) positive strains. These data indicate a negative correlation between CRISPR-cas loci and antibiotic resistance, as well as, carriage of antibiotic resistant genes in both of UTI and DRC isolates.

scholarly journals Antibiotic resistance pattern of Klebsiella pneumoniae isolates producing extended spectrum beta-lactamases in Zanjan city, Iran

2020 ◽  
pp. 1-6
Keyword(s):  
Antibiotic Resistance ◽  
Klebsiella Pneumoniae ◽  
Resistance Pattern ◽  
Beta Lactamases ◽  
Antibiotic Resistance Pattern ◽  
Extended Spectrum ◽  
Resistance Patterns ◽  
Extended Spectrum Beta Lactamases ◽  
Antibiotic Resistance Patterns

Extended spectrum beta-lactamases (ESBL) in Klebsiella pneumoniae isolates have led to increased antibiotic resistance and mortality in patients. Therefore, the present study was performed to investigate the susceptibility and antibiotic resistance patterns of ESBL- producing K. pneumoniae strains isolated from patients referred to Zanjan hospitals.

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