FREQUENCY AND ANTIBIOTIC SUSCEPTIBILITY PATTERN OF ACINETOBACTER SPP IAOLATED FROM PUS AND WOUND SWABS:  A TERTIARY CARE EXPERIENCE

Kokab Jabeen; Summaya Sikandar Beg; Fareeha Imran; Aasma Noveen Ajmal; Farhana Imran

doi:10.51642/ppmj.v30i04.563

Kokab Jabeen Fatima Jinnah Medical University Lahore,
Summaya Sikandar Beg Fatima Jinnah Medical University Lahore
Fareeha Imran Ameer ud Din Medical College, Lahore
Aasma Noveen Ajmal Ameer ud Din Medical College, Lahore
Farhana Imran Allama Iqbal Medical College, Lahore.

DOI: https://doi.org/10.51642/ppmj.v30i04.563

Keywords: Acinetobacter species, antibiotics, frequency, resistance

Abstract

Background: For the past two decades, Acinetobacter spp. has emerged as an important pathogen globally in various infections mostly in hospital settings.

Objectives: This study was conducted to determine the frequency and antibiotic susceptibility pattern of Acinetobacter spp isolated from pus and wound swabs.

Methods: This retrospective cross-sectional study included a total of 110 Pus and wound samples collected from patients presenting to Fatima Jinnah Medical University, Lahore laboratory from Jan 2016 to March 2016. The samples were processed and identified by standard protocol. The Acinetobacter isolates were tested for antibiotic resistance by Kirby-Bauer disk diffusion method according to the Clinical and Laboratory Standards Institute (CLSI) guidelines.

Results: From 110 wound samples, 87 (79%) showed significant growth of 87 positive cultures 20 samples (23%) showed growth of Acinetobacter, 11(12.7%) Klebsiella Spp 22(25.3%) Staphylococcus Spp 18 (20.6%) Pseudomonas Spp and 16 (18.4%) Escherichia coli. Out of 20 isolates of Acinatobacter, 13 (65%) were resistant to more than three classes of antibiotics (multidrug resistant) and 3 (15%) were resistant to all commonly used antibiotics (pan-drug resistant). Majority of the isolates were sensitive to Imipenem, Amikacin and Tigecycline and showed resistance rates of 45%, 50%, and 45%, respectively.

Conclusion:

This hospital-based epidemiological data will help to implement better infection control strategies and improve the knowledge of antibiotic resistance patterns in our region.