Epidemiology and Multidrug Resistance of Pseudomonas aeruginosa and Acinetobacter baumanni Isolated from Clinical Samples in Ethiopia

Shambel Araya; Zenebe Gebreyohannes; Getachew Tadlo; Gebreab Teklebirhan Gessew; Abebe Edao Negesso

doi:10.2147/IDR.S402894

Epidemiology and Multidrug Resistance of Pseudomonas aeruginosa and Acinetobacter baumanni Isolated from Clinical Samples in Ethiopia

Infect Drug Resist. 2023 May 8:16:2765-2773. doi: 10.2147/IDR.S402894. eCollection 2023.

Authors

Shambel Araya¹, Zenebe Gebreyohannes², Getachew Tadlo³, Gebreab Teklebirhan Gessew¹, Abebe Edao Negesso¹

Affiliations

¹ Department of Medical Laboratory Science, College of Health Science Addis Ababa University Addis Ababa, Addis Ababa, 9086, Ethiopia.
² Department of Medical Microbiology, Parasitology and Immunology St. Paul Hospital Millennium Medical College, Addis Ababa, Ethiopia.
³ Department of Medical Laboratory Science, St. Paul Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Abstract

Background: A. baumannii and P. aeruginosa are important nosocomial pathogens in health-care settings. Both are intrinsically resistant to many drugs and are able to become resistant to the virtually most antimicrobial agents. An increasing prevalence of infections caused by multidrug-resistant isolates has been reported in many countries.

Methods: An institutional-based cross-sectional five-year retrospective study was conducted to assess the antimicrobial resistance trend of P. aeruginosa and A. baumani. 893 A. baumani and 729 P. aeruginosa isolates were included in the study. Conventional method was used for identification and antimicrobial susceptibility was determined by Kirby-Bauer disc-diffusion method. The isolates were from suspected bloodstream infections, wound infections, urinary tract, or surgical site nosocomial infections. Socio-demographic and other variables of interest were collected using a structured check list from a patient record data. Data were analyzed using SPSS version 26 software. P value <0.05 was considered statistically significant.

Results: A total of 1622 A. baumanii and P. aeruginosa were isolated from various clinical specimens recorded from the year 2017-2021. Out of which A. baumanni was 893 (60.6%) and P. aeruginosa was 729 (39.4%). Blood was the major source of the isolates (18.3%), followed by urine (16%), and tracheal aspirate (10.6%). Antimicrobial resistance among A. baumanni over the five years were; ampicillin (86% to 92%), ceftriaxone (66.7% to 82.2%), and ciprofloxacin (58.5% to 66.7%). In P. aeruginosa a significant increase in resistance was seen from 2017 to 2021 to Amoxicillin-clavulanate (74.1% to 84.2%), chloramphenicol (62% to 81.9%), and gentamicin (40% to 44.8%).

Conclusion: A five-year antimicrobial resistance trend analysis of A. baumanni and P. aeruginosa showed increasing multi drug resistance and resistance to highly potent antimicrobial agents in Ethiopia. It should be addressed with infection control measures, surveillance, and alternative new therapeutic strategies to circumvent the spread of multi-drug resistance.

Keywords: A. baumanii; Ethiopia; MDR; P. aeruginosa; antibiotic resistance.