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Research Article | Volume 13 Issue:4 (, 2023) | Pages 1412 - 1417
A Study on microbiological profile of MDR Pathogens in ICU in a Tertiary care Hospital
1
Assistant Professor, Department of Microbiology, Government Medical College, Anantapur, Andhra Pradesh, India.
Under a Creative Commons license
Open Access
Received
Nov. 3, 2023
Revised
Nov. 16, 2023
Accepted
Dec. 5, 2023
Published
Dec. 22, 2023
Abstract

Multidrug resistant pathogens testing play a vital role in diagnosing the condition and aid in the management of disease. Efficient testing with good resources and automation will definitely yield a better result of diagnosing the pathogen and analyzing their antibiotic sensitivity pattern when compared to conventional methods. This study is to analyze data of the multidrug resistant organisms and its sensitivity pattern from our hospital ICU settings. Materials and Methods: All the samples were processed according to central laboratory standard institute, among them 208 MDR pathogenic isolates were obtained and included them in study. All details pertaining to patients including age, sex, type of specimen, ICU admission number, socioeconomic status, previous history of hospitalization, antibiotic intake, organism isolated, sensitivity pattern of antibiotics was collected and entered into Microsoft excel sheet. Results: Out of 208 isolates predominant pathogens were Klebsiella species (32.69%), Acinetobacter species (26.4%), and Pseudomonas aeruginosa (19.2%). Other organisms detected were Escherichia coli (9.13%), Staphylococcus aureus (6.73%), Enterobacter species (3.84%), and Citrobacter species (1.92%). Multi drug resistant rate was 63.4%. 57.1% were Methicillin Resistant Staphylococcus aureus (MRSA). Conclusion: Active surveillance of diseases and microbiology reports is necessary to guide infection control and antimicrobial stewardship policies making and implementation. Microbiological testing of specimen prior to start the antibiotic therapy in CSOM patients alleviate the emergence of drug resistant of pathogens and also helps clinicians to give accurate and prompt treatment.

 

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