Abstract

Microorganisms are able to form biofilms within respiratory secretions. Methods to disaggregate such biofilms before utilizing standard, rapid, or high throughput diagnostic technologies may aid in pathogen detection during ventilator associated pneumonia (VAP) diagnosis. Our aim was to determine if sonication of endotracheal aspirates (ETA) would increase the sensitivity of qualitative, semi-quantitative, and quantitative bacterial cultures in an animal model of pneumonia caused by Pseudomonas aeruginosa or by methicillin resistant Staphylococcus aureus (MRSA). Material and methods: P. aeruginosa or MRSA was instilled into the lungs or the oropharynx of pigs in order to induce severe VAP. Time point assessments for qualitative and quantitative bacterial cultures of ETA and bronchoalveolar lavage (BAL) samples were performed at 24, 48, and 72 h after bacterial instillation. In addition, at 72 h (autopsy), lung tissue was harvested to perform quantitative bacterial cultures. Each ETA sample was microbiologically processed with and without applying sonication for 5 min at 40 KHz before bacterial cultures. Sensitivity and specificity were determined using BAL as a gold-standard. Correlation with BAL and lung bacterial burden was also determined before and after sonication. Assessment of biofilm clusters and planktonic bacteria was performed through both optical microscopy utilizing Gram staining and Confocal Laser Scanning Microscopy utilizing the LIVE/DEAD®BacLight kit. Results: 33 pigs were included, 27 and 6 from P. aeruginosa and MRSA pneumonia models, respectively. Overall, we obtained 85 ETA, 69 (81.2%) from P. aeruginosa and 16 (18.8%) from MRSA challenged pigs. Qualitative cultures did not significantly change after sonication, whereas quantitative ETA cultures did significantly increase bacterial counting. Indeed, sonication consistently increased bacterial burden in ETAs at 24, 48, and 72 h after bacterial challenge. Sonication also improved sensitivity of ETA quantitative cultures and maintained specificity at levels previously reported and accepted for VAP diagnosis. Conclusion: The use of sonication in ETA respiratory samples needs to be clinically validated since sonication could potentially improve pathogen detection before standard, rapid, or high throughput diagnostic methods used in routine microbial diagnostics.

Highlights

  • Ventilator associated pneumonia (VAP) may occur after 48 h of oro-tracheal intubation with a pooled mean incidence of 10 episodes for 1000 ventilator-days, becoming one of the principal Intensive Care Unit (ICU)-acquired infections worldwide [1,2,3]

  • We previously demonstrated the presence of biofilm aggregates growing directly attached to the internal surface of endotracheal tubes (ETT) and/or associated within host respiratory secretions in an animal model of either methicillin resistant Staphylococcus aureus (MRSA) or Pseudomonas aeruginosa [23,24]

  • Nine pigs were challenged wit5hotfh1e3 bacterial suspension instilled into the oropharynx for ventilator associated pneumonia (VAP) preventive studies (Table 1). 3.2

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Summary

Introduction

Ventilator associated pneumonia (VAP) may occur after 48 h of oro-tracheal intubation with a pooled mean incidence of 10 episodes for 1000 ventilator-days, becoming one of the principal Intensive Care Unit (ICU)-acquired infections worldwide [1,2,3]. Accurate and rapid diagnostic methods are key to initiate appropriate antimicrobial treatment and to reduce VAP relapse, healthcare costs, mortality, and an indirect effect on the emergence of bacterial resistance [4,5,6]. A wide new panel of rapid diagnostic technologies offers promising possibilities for the optimization of antibiotics usage [7]. Adequate implementation of these novel technologies is an important consideration as they present limitations. A notable limitation of these technologies is that they provide an important amount of raw data that requires qualified interpretation before clinical decision making. New unexpected limitations may emerge as these new technologies become routinely implemented

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