Evidence map›Paper›PMID 40656495›Full record

ReviewSurgical neurology international2025

Short review/perspective: Critical early treatment of infections including meningitis and/or ventriculitis due to recurrent postoperative lumbar cerebrospinal fluid leaks, lumbar drains, or intracranial devices/implants.

Nancy E Epstein, Marc A Agulnick

Abstract readReview
In one paragraph

Review in Surgical neurology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nancy E EpsteinProfessor of Clinical Neurosurgery, School of Medicine, State University of NY at Stony Brook, NY, c/o Dr. Marc Agulnick, Spine Care Specialists, 1122 Franklin Avenue Suite 106, Garden City, NY 11530, USA and Editor-in-Chief Surgical Neurology International.
Marc A AgulnickDepartment of Orthopedics, NYU Grossman Hospital, Long Island, 1122 Franklin Avenue, Suite 106, Garden City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early treatment of cerebrospinal fluid (CSF) infections, including meningitis and/or ventriculitis (MV) is critical to minimize morbidity/mortality. Infections/MV are typically attributed to; recurrent postoperative lumbar CSF fistulas with drainage through the skin (12.2-33.3%), lumbar drains, and/or various intracranial devices (i.e. external ventricular drains, intracranial pressure monitors). Methods: Lumbar MR examinations best document recurrent postoperative dural fistulas with subcutaneous extension leading to leaking wounds; the longer these leaks persist, the greater the risk of CSF infection and MV. Classical cranial MR findings of MV due to prior lumbar surgery, lumbar drains or multiple intracranial devices include; ventricular debris, ependymal enhancement, hydrocephalus, extra-axial fluid collections, infarcts (arteritis/ventriculitis), abscesses, and granulomas. Results: Surgery for recurrent postoperative lumbar CSF leaks typically warrant wound reexploration with direct sutured-dural repairs, use of muscle patch grafts (avoid fat - it resorbs), fibrin sealants/fibrin glues (FS/FG), lumbar drains, lumboperitoneal and/or pseudomeningocele-peritoneal shunts. For patients who additionally develop meningitis/ventriculitis, one should consider adding intraventricular (IVT) or lumbar intrathecal (IT) antibiotic therapy to routine intravenous antibiotics. Notably, all efforts should be made to avoid the high mortality rates associated with VM (i.e., 13% to 60%). Conclusion: Recurrent postoperative lumbar CSF leaks (i.e., especially after CSF breaches the skin), lumbar drains, and/or intracranial devices/implants may cause infections including meningitis and ventriculitis (MV). It is critical to recognize and treat these infections/MV early to avoid high morbidity and mortality rates.

Indexed as

Cerebrospinal Fluid (CSF) LeaksDural RepairEarly DiagnosisEarly SurgeryExternal FistulasExternal Ventricular DrainsFibrin Sealant/Fibrin GluesInfectionIntracranial Pressure MonitorsLumbar DrainLumbar SurgeryMagnetic Resonance Imaging (MR)MeningitisMuscle Patch GraftTraumatic Dural Tears (DT)Ventriculitis

Identifiers

PMID40656495
PMCPMC12255216

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.