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Determinants of Antimicrobial Resistance in Acinetobacter baumannii Isolates From Intensive Care Patients in Latvia

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Abstract

BACKGROUND: Acinetobacter baumannii is a leading nosocomial pathogen in intensive care units (ICUs), often resistant to multiple antibiotics. Data from the Baltic region remain scarce, limiting infection control and stewardship strategies.

METHODS: We conducted an integrated phenotypic-genotypic analysis of A. baumannii isolates collected from ICU patients in a tertiary-care hospital in Latvia (July 2022-June 2024). Antimicrobial susceptibility testing was performed for major antibiotic classes, and whole-genome sequencing (WGS) was used to identify genomic resistance determinants.

RESULTS: We analysed 52 clinical isolates from 45 ICU patients. Multidrug resistance was nearly universal (98%), with complete resistance to carbapenems and fluoroquinolones and > 95% resistance to aminoglycosides and trimethoprim-sulfamethoxazole. Colistin activity was largely preserved, with resistance detected in only one isolate, despite widespread polymyxin resistance-associated mutations. Genotypic findings were mostly in line with the phenotypic results. All isolates belonged to the ST2 lineage, highlighting clonal homogeneity. No plasmid replicons were detected, suggesting chromosomal elements as the primary resistance drivers.

CONCLUSIONS: Our first integrated dataset in an ICU setting from the Baltic region demonstrates alarming resistance levels and clonal dominance of ST2. Our findings highlight the importance of combining WGS with susceptibility testing for accurate resistance assessment.

Original languageEnglish
Article number5526340
JournalInternational Journal of Microbiology
Volume2026
Issue number1
DOIs
Publication statusPublished - 2026

Keywords*

  • Acinetobacter baumannii
  • genotype
  • intensive care units
  • phenotype
  • resistance

Field of Science*

  • 3.1 Basic medicine
  • 3.2 Clinical medicine
  • 1.6 Biological sciences

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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