# Analysis of microorganisms isolated from tracheal aspirate cultures and their antibiotic susceptibility profiles: a retrospective study from 2018 to 2022

**Authors:** Erkan Sanmak, İsmail Davarci, Gül Şahika Gökdemir, Gökhan Güler, Hayri Canbaz, Zeynep Ayaydin, Mehmet Kabak, Barış Çil

PMC · DOI: 10.3389/fmed.2026.1770208 · Frontiers in Medicine · 2026-02-10

## TL;DR

This study analyzed bacteria from tracheal aspirates in a hospital from 2018 to 2022, finding high resistance to antibiotics, especially in ICU patients.

## Contribution

The study identifies trends in antibiotic resistance among ICU and ward isolates and highlights the need for updated local treatment guidelines.

## Key findings

- Gram-negative bacteria dominated isolates, with high resistance to common antibiotics.
- Resistance was consistently higher in ICU isolates compared to ward isolates.
- Antibiotic resistance patterns changed notably around 2020, suggesting evolving trends.

## Abstract

To determine the distribution of microorganisms isolated from tracheal aspirate (TA) cultures and their antimicrobial susceptibility patterns, and to assess resistance differences between intensive care unit (ICU) – and ward-derived isolates as well as temporal trends across years.

Tracheal aspirate specimens obtained at a tertiary-care center between 2018 and 2022 were retrospectively reviewed. Only growth meeting laboratory acceptance criteria for causative pathogens was analyzed (semi-quantitative culture thresholds with cytologic quality control). Bacterial identification was performed using automated systems, and antimicrobial susceptibility testing was interpreted according to EUCAST standards. In addition to descriptive analyses, annual resistance trends and a joinpoint regression analysis (annual percent change) were conducted.

Of all causative isolates, 83.8% were Gram-negative. The most frequent pathogens were Klebsiella spp., Acinetobacter spp., and Pseudomonas spp. For Klebsiella spp., resistance to cephalosporins and fluoroquinolones was generally >90%, meropenem >80%, whereas imipenem showed comparatively higher susceptibility. In Acinetobacter spp., resistance was very high to most agents, with amikacin showing the lowest resistance. In Pseudomonas spp., resistance rates ranged from 40% to 55%, and amikacin emerged as the most active agent. Resistance was systematically higher in ICU-derived isolates than in ward isolates. Joinpoint analysis identified a single breakpoint around 2020; resistance trajectories during 2018–2020 were heterogeneous, with increases observed for some organism–antimicrobial combinations, followed by divergent patterns thereafter.

The predominance of Gram-negative pathogens and the high resistance burden in our center support locally tailored Gram-negative coverage for empiric therapy alongside early de-escalation. Temporal patterns underscore the need to update empiric policies using annual local surveillance data and to reinforce infection control and antimicrobial stewardship, particularly in ICUs.

## Linked entities

- **Species:** Acinetobacter sp. P (taxon 596119), Pseudomonas sp. #P (taxon 299395)

## Full-text entities

- **Diseases:** HAP (MESH:D000077299), infection (MESH:D007239), diabetes mellitus (MESH:D003920), COVID-19 (MESH:D000086382), lung diseases (MESH:D008171), chronic alcoholism (MESH:D006519), malignancy (MESH:D009369), bacteria (MESH:C000719206), death (MESH:D003643), MDR-GNB (MESH:D018088), bronchiectasis (MESH:D001987), respiratory infections (MESH:D012141), nosocomial infections (MESH:D003428), Disease (MESH:D004194), bacterial co-infections (MESH:D060085), inflammation (MESH:D007249), critically ill (MESH:D016638), infectious (MESH:D003141), VAP (MESH:D053717), HIV (MESH:D015658), COPD (MESH:D029424), Chest Diseases (MESH:D002637), GNB (MESH:D016905), Bacterial pneumonia (MESH:D018410), Pneumonia (MESH:D011014), bacterial infection (MESH:D001424), organ dysfunction (MESH:D009102), TA (MESH:D011015)
- **Chemicals:** amikacin (MESH:D000583), fluoroquinolones (MESH:D024841), cephalosporins (MESH:D002511), piperacillin-tazobactam (MESH:D000077725), aminoglycosides (MESH:D000617), Eosin Methylene Blue agar (-), beta-lactams (MESH:D047090), Tazo (MESH:D000078142), carbapenems (MESH:D015780), TMP/SMX (MESH:D015662), meropenem (MESH:D000077731), imipenem (MESH:D015378)
- **Species:** Klebsiella pneumoniae (species) [taxon 573], Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Lactobacillus (genus) [taxon 1578], Homo sapiens (human, species) [taxon 9606], Prevotella (genus) [taxon 838], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Pseudomonas aeruginosa (species) [taxon 287], Porphyromonas (genus) [taxon 836], Escherichia coli (E. coli, species) [taxon 562], Rothia (genus) [taxon 508215], Granulicatella (genus) [taxon 117563], Bacillus (genus) [taxon 55087], Gemella (genus) [taxon 1378], Abiotrophia (genus) [taxon 46123], Acinetobacter baumannii (species) [taxon 470], Peptostreptococcus (genus) [taxon 1257], Veillonella (genus) [taxon 29465]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12929516/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12929516/full.md

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Source: https://tomesphere.com/paper/PMC12929516