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Published on: October 14, 2022
Risk factors for nosocomial meningitis in patients with external ventricular drainages
Coline Raffenot1, Vincent Doat-Sarfati2, François Antonini3
1Département d'Anesthésie-Réanimation, Université Aix-Marseille, CHU Timone, Marseille, France.
External ventricular drain (EVD)-associated infections, or nosocomial meningitis (NM), are serious ICU complications. Key risk factors like CSF leakage and prolonged drainage can predict NM, enabling earlier treatment.
Area of Science:
- Intensive Care Medicine
- Infectious Diseases
- Neurosurgery
Background:
- External ventricular drain (EVD) placement is crucial for managing intracranial pressure but carries a risk of infection.
- Nosocomial meningitis (NM) following EVD insertion presents diagnostic challenges and impacts patient outcomes.
- Timely diagnosis and treatment are critical for improving prognosis in EVD-associated NM.
Purpose of the Study:
- To investigate the epidemiology of NM in intensive care unit (ICU) patients with EVDs.
- To identify significant risk factors associated with the development of NM in this patient population.
- To develop a predictive model for early NM detection.
Main Methods:
- A retrospective single-center cohort study was conducted involving adult patients who received EVDs between 2018 and 2022.
- Patients were categorized into NM and non-NM groups based on clinical, biological, and microbiological criteria.
- Risk factors including patient demographics, device characteristics, and clinical data were analyzed.
Main Results:
- Out of 275 EVD patients, 32 (11.6%) developed NM, experiencing longer ICU stays but similar mortality rates.
- Significant risk factors for NM included cerebrospinal fluid (CSF) leakage, prolonged drainage duration, beta-lactam allergy, and specific CSF cytochemical profiles.
- A predictive model demonstrated strong performance with an AUC-ROC of 0.89 and a negative predictive value of 96.8%.
Conclusions:
- Beta-lactam allergy, CSF leakage, extended drainage duration, and specific CSF laboratory findings are key predictors of NM.
- The developed predictive model offers a valuable tool for the early identification and management of NM in EVD patients.
- Early detection through this model can facilitate timely treatment, potentially improving patient outcomes.
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