A Retrospective Study on Antibiotic Susceptibility Pattern of Detected Bacteria

Published on:August 2019
Indian Journal of Pharmacy Practice, 2019; 12(3):176-187
Original Article | doi:10.5530/ijopp.12.3.39


A Retrospective Study on Antibiotic Susceptibility Pattern of Detected Bacteria


Authors and affiliation (s):

Meshwa Soni*, Rutul Patel, Komal Patel, Janki Patel, Shrikalp Deshpande

Department of Pharmacology and Pharmacy Practice, K. B. Institute of Pharmaceutical Education and Research, Gandhinagar, Gujarat, INDIA.

Abstract:

Background: Antibacterials are the most imperative weapons in our hands, accounting for the majority of ambulatory care prescriptions. Irrational use of antibiotics in developing countries like India have led to emergence of antibiotic resistance which can lead to treatment failure, increase cost burden, lack of availability of drug molecule to treat life threatening infections and affect patient’s quality of life significantly. Aim: To check the Antibiotic Susceptibility Pattern for commonly detected bacteria in Gandhinagar and Ahmedabad. Objectives: To identify the spectrum of organisms responsible for infection in our geographical area and to evaluate the pattern of antibiotic susceptibility of those organisms. Methodology: A Retrospective Observational study was carried out for a period of 1 year (January 2017 to December 2017). A total of 150 microbial culture sensitivity test reports were collected from different laboratories. The data collected from different laboratories on the basis of inclusion and exclusion criteria and were entered in MS Excel. Data was represented in frequency and percentage table and using graphical representation. Results: Total 150 reports of culture sensitivity test were obtained. Urine (78%) was widely collected sample. E. coli (46.7%) was the dominant bacterial species. Cephalosporin was the most resistant class of antibiotic. Conclusion: Periodic review of antibiotic sensitivity pattern at hospital level and at state level is of utmost importance for the patient’s economical and health benefit.

Key words: Antibiotics, Antibacterial Resistance, Susceptibility Pattern, Antibiogram, Cephalosporin.




 

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