Ventriculostomy-associated infection (VAI) in patients with acute brain injury—a retrospective study

Author:

Nielsen PernilleORCID,Olsen Markus HarboeORCID,Willer-Hansen Rasmus StanleyORCID,Hauerberg JohnORCID,Johansen Helle KroghORCID,Andersen Aase BengaardORCID,Knudsen Jenny DahlORCID,Møller KirstenORCID

Abstract

Abstract Background Ventriculostomy-associated infection (VAI) is common after external ventricular drains (EVD) insertion but is difficult to diagnose in patients with acute brain injury. Previously, we proposed a set of criteria for ruling out VAI in traumatic brain injury. This study aimed to validate these criteria. For exploratory purposes, we sought to develop and validate a score for VAI risk assessment in patients with different types of severe acute brain injury. Methods This retrospective cohort study included adults with acute brain injury who received an EVD and in whom CSF samples were taken over a period of 57 months. As standard non-coated bolt-connected EVDs were used. The predictive performance of biomarkers was analyzed as defined previously. A multivariable regression model was performed with five variables. Results A total of 683 patients with acute brain injury underwent EVD placement and had 1272 CSF samples; 92 (13.5%) patients were categorized as culture-positive VAI, 130 (19%) as culture-negative VAI, and 461 (67.5%) as no VAI. A low CSF WBC/RBC ratio (< 0.037), high CSF/plasma glucose ratio (> 0.6), and low CSF protein (< 0.5g/L) showed a positive predictive value of 0.09 (95%CI, 0.05–0.13). In the multivariable logistic regression model, days to sample (OR 1.09; 95%CI, 1.03–1.16) and CSF WBC/RBC ratio (OR 34.86; 95%CI, 3.94–683.15) were found to predict VAI. Conclusion In patients with acute brain injury and an EVD, our proposed combined cut-off for ruling out VAI performed satisfactorily. Days to sample and CSF WBC/RBC ratio were found independent predictors for VAI in the multivariable logistic regression model.

Funder

National Hospital

Publisher

Springer Science and Business Media LLC

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