Year: 2024 | Month: November | Volume: 14 | Issue: 11 | Pages: 383-391
DOI: https://doi.org/10.52403/ijhsr.20241144
Development of Antibiogram Toolkit for Enhancing Empiric Antibiotic Selection in a Tertiary Care Hospital
Meghana G1, Megan Elita Dsa2, Thejas Yadav KN3
1Clinical data Analyst at Concert AI, Bangalore, India,
2Clinical Pharmacist at St John’s Medical College Hospital, Bangalore, India,
3Project support coordinator at PPD, Bangalore,
Corresponding Author: Meghana G
ABSTRACT
Background: A clinical microbiology laboratory at the hospital receives frequent reports on the antibiotic susceptibilities of localized bacterial isolates. Clinicians frequently utilize antibiograms to evaluate regional susceptibility rates, as a tool in choosing initial antibiotic therapy, and to track changes in resistance over time within a facility.
Objectives:
To develop an antibiogram using culture sensitivity data.
To help select empirical antibiotic therapy for suspected infection.
Methodology: A prospective study was conducted in 243 patients with positive culture sensitivity data in the department of microbiology at MVJ medical college and research hospital for a period of 6 months (February 2022-August 2022). Patients of either gender irrespective of the age, diagnosed with bacterial infection and having positive culture sensitivity data with or without comorbid conditions and pregnancy were included. In a case report form that was specially created, all the necessary patient information was gathered. The antibiogram displays the percentage susceptibility of the most frequently isolated bacteria in tabular form.
Results: In our study the most isolated organism was found to be Klebsiella species (30.86%), followed by E. coli (18.52%), Staphylococcus aureus (10.29%), and Pseudomonas aeruginosa (9.47%), which showed that Klebsiella species were susceptible to colistin (100%), Fosfomycin (89%) and showed 100% resistance towards PIP/TAZ and ampicillin. E. coli showed susceptibility towards meropenem (100%), nitrofurantoin (95.5%), imipenem (95%), and Fosfomycin (91.7%).
Conclusion: The study's high rates of resistance across both Gram-positive and Gram-negative isolates highlight the need for accurate anti-microbial sensitivity testing data collected through routine cultures, which can aid in the consistent development and dissemination of antibiograms and guide the use of antibiotics.
Key words: Antibiogram, Antibiotic resistance, Gram-positive, Gram-negative, Antimicrobial therapy, Culture sensitivity.