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Braz. oral res. (Online) ; 31: e38, 2017. tab
Article in English | LILACS | ID: biblio-839532

ABSTRACT

Abstract The aim of this study was to detect possible associations between respiratory pathogens from tracheal aspirate and oral biofilm samples in intubated patients in an intensive care unit (ICU), and to identify the most common respiratory pathogens in oral biofilm, particularly in patients that developed ventilator-associated pneumonia (VAP). Two oral biofilm samples were collected from the tongue of intubated patients (at admission and after 48 hours) and analyzed by culture with the Antibiotic Sensitivity Test. The results from the tongue biofilm samples were compared with the tracheal secretions samples. A total of 59.37% of patients exhibited the same species of pathogens in their tracheal aspirate and oral biofilm, of which 8 (42.1%) developed VAP, 10 (52.63%) did not develop pneumonia and one (5.26%) had aspiration pneumonia. There was a statistically significant association between presence of microorganisms in the tracheal and mouth samples for the following pathogens: Klebsiella pneumoniae, Candida albicans, Pseudomonas aeruginosa, Enterobacter gergoviae, Streptococcus spp and Serratia marcescens (p < 0.05). Pathogens that are present in tracheal aspirates of intubated patients can be detected in their oral cavity, especially in those who developed VAP or aspiration pneumonia. Thus, the results indicate that an improved oral care in these patients could decrease ICU pneumonia rates.


Subject(s)
Humans , Male , Female , Middle Aged , Bacteria/isolation & purification , Biofilms , Mouth/microbiology , Pneumonia, Ventilator-Associated/microbiology , Trachea/microbiology , Ventilators, Mechanical/microbiology , Candida albicans/isolation & purification , Dental Plaque/microbiology , Equipment Contamination , Intensive Care Units , Intubation, Intratracheal/adverse effects , Longitudinal Studies , Microbial Sensitivity Tests , Pneumonia, Aspiration/microbiology , Respiration, Artificial/adverse effects , Time Factors
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