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Updated: Oct 25, 2025

Murine Oropharyngeal Aspiration Model of Ventilator-associated and Hospital-acquired Bacterial Pneumonia
Published on: June 28, 2018
Respiratory Microbiome Disruption and Risk for Ventilator-Associated Lower Respiratory Tract Infection
James J Harrigan1, Hatem O Abdallah1, Erik L Clarke2
1Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Persistent disruption of the respiratory microbiome, indicated by low Shannon diversity over consecutive days, predicts ventilator-associated lower respiratory tract infection (VA-LRTI) risk in prolonged mechanical ventilation. This finding may help target infection prevention strategies.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Microbiome Research
Background:
- Ventilator-associated lower respiratory tract infection (VA-LRTI) is a significant complication in critically ill patients, increasing morbidity and mortality.
- Microbiome disruption indices (MDIs) predict VA-LRTI risk in acute illness, but their role in prolonged mechanical ventilation is unclear.
Purpose of the Study:
- To investigate changes in respiratory microbiome disruption indices (MDIs) during prolonged mechanical ventilation.
- To determine if these MDIs remain associated with VA-LRTI risk over time.
Main Methods:
- A cohort of 83 subjects on prolonged mechanical ventilation was studied.
- Longitudinal lower respiratory tract samples were collected and analyzed using 16S rRNA sequencing and qPCR.
- Microbiome disruption indices (MDIs) were calculated, including Shannon diversity and bacterial abundance.
Main Results:
- Cross-sectional MDIs showed weak associations with VA-LRTI risk.
- Persistent lower respiratory microbiome disruption, defined by consecutive days with low Shannon diversity (<2.0), robustly predicted VA-LRTI risk (OR 1.36 per day).
- The association was consistent across different VA-LRTI definitions.
Conclusions:
- Cross-sectional MDIs have limited utility for predicting VA-LRTI risk in prolonged mechanical ventilation.
- Persistent lower respiratory tract microbiome disruption, particularly low Shannon diversity over consecutive days, identifies patients at high risk for VA-LRTI.
- This understanding can inform targeted infection prevention interventions.
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