Introduction. The global spread of Acinetobacter spp., particularly the Acinetobacter calcoaceticusbaumannii (ACB) complex, has led to its recognition as a significant pathogen by the World Health Organization (WHO). The increasing resistance of the ACB complex to multiple antibiotics presents a challenge for treatment, necessitating accurate antibiotic susceptibility profiling after isolation.Hypothesis or gap statement. There is limited understanding of the antimicrobial resistance and chlorhexidine, a biocide, susceptibility profiles of ACB complex strains, especially in clinical settings in Turkey.Aim. This study aimed to identify ACB complex strains recovered from various clinical specimens at Hacettepe University Hospitals in Ankara, Turkey, in 2019, and to assess identification, their antibiotic and chlorhexidine susceptibility profiles, and genomic relatedness.Methodology. Eighty-two ACB complex strains were identified using MALDI-TOF MS. Susceptibility testing to 12 antibiotics was conducted using the disc diffusion method, and colistin, chlorhexidine susceptibility was assessed using the broth microdilution technique, following the latest EUCAST and CLSI guidelines. ACB complex members with reduced chlorhexidine sensitivity were further analyzed by pulsed-field gel electrophoresis (PFGE) for bacterial typing.Results. Among the isolates, 1.2% were multidrug-resistant (MDR), 73.2% were extensively drug-resistant (XDR), and 12.2% were pandrug-resistant (PDR). Carbapenem resistance was found in 86.7% of MDR, PDR, and XDR strains. Colistin resistance was observed in 15.8% of isolates, and 18.2% exhibited decreased susceptibility to chlorhexidine. PFGE revealed seven different clones among strains with reduced chlorhexidine sensitivity, indicating vertical transmission within the hospital.Conclusion. This study highlights the reduced susceptibility to chlorhexidine in ACB complex members and provides epidemiological insights into their spread. The findings underscore the importance of screening for antimicrobial resistance and biocide susceptibility profiles to effectively manage healthcare-associated infections.
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