Affiliation:
1. Professor and Head, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur
2. Assistant Professor, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur
3. Msc Medical Microbiology student, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur
Abstract
Background: Pseudomonas aeruginosa are one among the most versatile, adaptable microorganisms in the
environment. They are known to cause diseases in multiple organ systems of humans. Due to their easy acquisition of
resistance genes via various modes, multidrug resistance patterns are emerging. Morbidity and mortality especially of immunocompromised and
hospitalized individuals are on the rise because of ESBL, MBL and AmpC producing Pseudomonas aeruginosa. To isolate Objective:
Pseudomonas aeruginosa from various clinical samples and identify production of beta-lactamase enzymes. A prospective study for 6 Methods:
months was undertaken to identify Pseudomonas aeruginosa from various clinical samples using conventional microbiological techniques.
Antimicrobial susceptibility testing was performed according to CLSI guidelines. Further, beta-lactamase enzymes' production was screened
and conrmed according to CLSI. During our study period, we isolated 189 Pseudomonas aeruginosa Results: from different clinical specimens.
Screening for beta-lactamase enzymes revealed 38 (20.1%) probable ESBL, 15 (7.93%) probable MBL and 30 (15.87%) probable AmpC
producing Pseudomonas aeruginosa strains. From these, 7 (18.42%) were conrmed as ESBL producers, 6 (40%) as MBL producers and 20
(66.67%) as AmpC producers. Drug resistance to multiple groups of antibiotics was noted in all the beta-lactamase producing strains.
Conclusion: Routine detection of suspected resistant strains in the diagnostic microbiology laboratory will aid in the early identication of the
causative pathogen hence leading to appropriate steps for their treatment. A strict antibiotic policy to curb the misuse of second line
antimicrobials will help in cutting down the production of mutants responsible for drug resistance.
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,General Medicine,Surgery,Artificial Intelligence,Artificial Intelligence,Information Systems and Management,Computer Science Applications,Artificial Intelligence,Computer Vision and Pattern Recognition,Software,General Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,Management Science and Operations Research,Computer Science Applications,General Economics, Econometrics and Finance,Engineering (miscellaneous),General Business, Management and Accounting,General Decision Sciences