Phenotypic Identification and Antibiotic Susceptibility Pattern of AmpC beta-Lactamase Producing Escherichia coli and Klebsiella pneumoniae Isolated from Urinary Tract Infections from a Tertiary Care Hospital of Rawalpindi, Pakistan

Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JMMI-2-4_004

تاریخ نمایه سازی: 29 بهمن 1402

Abstract:

Introduction: This study is aimed to compare phenotypic test methods and determine antibiotic susceptibility pattern of AmpC beta-lactamase producing uropathogenic Escherichia coli and Klebsiella pneumoniae in clinical isolates. Method: E. coli and K. pneumoniae were identified by standard microbiological procedures. Screening of AmpC beta-lactamase production was done by using cefoxitin disc (۳۰ µg) showing inhibition zone diameter of <۱۸ mm. Then, screen-positive isolates were subjected to Disc Approximation Test (DAT) and three dimensional extract test (۳-DET) methods. Antibiotic susceptibility testing was performed by Kirby Bauer Disc diffusion technique. Results: A total of ۱۲۰ Gram Negative Rods (GNRs) were included in the study. Amongst them cefoxitin resistant isolates were ۶۸.۳۳% (n=۸۲/۱۲۰). In these ۸۲ isolates, E. coli were n=۵۷ (۶۹.۵۱%) and K. pneumoniae were n=۲۵ (۳۰.۴۸%). DAT identified ۵۲.۴۳% of AmpC beta-lactamase producing isolates, sensitivity of DAT was found to be ۸۸% with ۹۲% specificity, Positive Predictive Value of ۹۲.۶۸%, Negative Predictive Value of ۸۷.۸۰%, and Diagnostic Accuracy of ۹۰.۲۴%. Antibiotic susceptibility testing by Kirby Bauer Disc diffusion technique showed that carbapenems (meropenem) and tigecycline were of higher therapeutic effects against these resistant pathogens. Conclusion: Introducing simple tests like DAT in the laboratories can control the spread of AmpC beta-lactamase harboring organisms. Carbapenems (meropenem) and tigecycline are of suitable therapeutic effect against these resistant pathogens.

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Authors

Nadia Saad

National University of Science and Technology, Islamabad

Tehmina Munir

National University of Science and Technology, Islamabad

Maliha Ansari

National University of Science and Technology, Islamabad

Mehreen Gilani

National University of Science and Technology, Islamabad

Mahwish Latif

National University of Science and Technology, Islamabad

Amira Haroon

National University of Science and Technology, Islamabad

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