External ventricular drain–related meningitis: prediction model or early diagnostic tool?

To the Editor, We read with great interest the study by Raffenot et al. on risk factors for nosocomial meningitis (NM) in patients with external ventricular drains (EVDs) [1].We commend the authors on their thorough and clinically impactful study.Their identification of factors such as cerebrospinal fluid (CSF) leakage and prolonged drainage offers valuable insight for daily practice.The authors also develop a multivariable predictive model, incorporating CSF leakage, drainage duration, beta-lactam allergy, and a combined CSF variable (glucose ratio < 0.5 and protein > 1 g/L).This model demonstrates excellent discrimination (AUC 0.89) and the authors suggest that it could help identify high-risk patients earlier and guide closer monitoring and empirical therapy.We would, however, like to highlight one methodological point central to how the model's performance and role should be understood.The authors define NM using criteria adapted from Lozier et al., in which "probable" infection is based on specific cerebrospinal fluid (CSF) abnormalities: leukocyte count > 100/mm3, CSF-to-serum glucose ratio < 0.5, and protein concentration > 0.4 g/L [1, 2].In

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Publication Details

Journal
Journal of Intensive Care
Published
2026-02-03
DOI
https://doi.org/10.1186/s40560-025-00842-7
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
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article

External ventricular drain–related meningitis: prediction model or early diagnostic tool?

M. Sami, Ruqaiya Muhammad Naeem, Imran Zahid
Journal of Intensive Care
Cerebrospinal fluid and hydrocephalus
article

External ventricular drain–related meningitis: prediction model or early diagnostic tool?

M. Sami, Ruqaiya Muhammad Naeem, Imran Zahid
article en

Abstract

To the Editor, We read with great interest the study by Raffenot et al. on risk factors for nosocomial meningitis (NM) in patients with external ventricular drains (EVDs) [1].We commend the authors on their thorough and clinically impactful study.Their identification of factors such as cerebrospinal fluid (CSF) leakage and prolonged drainage offers valuable insight for daily practice.The authors also develop a multivariable predictive model, incorporating CSF leakage, drainage duration, beta-lactam allergy, and a combined CSF variable (glucose ratio < 0.5 and protein > 1 g/L).This model demonstrates excellent discrimination (AUC 0.89) and the authors suggest that it could help identify high-risk patients earlier and guide closer monitoring and empirical therapy.We would, however, like to highlight one methodological point central to how the model's performance and role should be understood.The authors define NM using criteria adapted from Lozier et al., in which "probable" infection is based on specific cerebrospinal fluid (CSF) abnormalities: leukocyte count > 100/mm3, CSF-to-serum glucose ratio < 0.5, and protein concentration > 0.4 g/L [1, 2].In

Journal of Intensive CareVol. 14(1)
University of Sargodha (PK), Shaikh Zayed Medical College and Hospital (PK)
Zero hunger
Openalex Percentile: Top 70%
Cerebrospinal fluid and hydrocephalus
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