Evidence map›Paper›PMID 34380543›Full record

Observational studyCritical care (London, England)2021

Cerebrospinal fluid cell count variability is a major confounding factor in external ventricular drain-associated infection surveillance diagnostics: a prospective observational study.

Marcus Bådholm, Jonas Blixt, Martin Glimåker, Anders Ternhag, Jonas Hedlund, David W Nelson

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04736407 (External Ventricular Drain Infections in Neurosurgical Patients), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04736407 completednot on this map

External Ventricular Drain Infections in Neurosurgical Patients: Diagnostic and Treatment Implications

TypeobservationalSponsorKarolinska University HospitalRan2017 to 2019Enrolled55ConditionsVentriculitis, CerebralArmsObservational sampling of CSF timed around routine clinical repositioning, or not
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

6 authors at 1 institution in 1 country.

Marcus BådholmFunction Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden. marcus.badholm@ki.se.ORCID http://orcid.org/0000-0001-7767-0684
Jonas BlixtFunction Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
Martin GlimåkerDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Anders TernhagDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Jonas HedlundDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
David W NelsonFunction Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SE

Funding

Agreement on Medical Training and Clinical Research (ALF) 2200325
6 · The paper itself

Abstract

backgroundExternal ventricular drain (EVD)-related infections (EVDIs) are feared complications that are difficult to rapidly and correctly diagnose, which can lead to unnecessary treatment with broad-spectrum antibiotics. No readily available diagnostic parameters have been identified to reliably predict or identify EVDIs. Moreover, intraventricular hemorrhage is common and affect cerebrospinal fluid (CSF) cellularity. The relationship between leukocytes and erythrocytes is often used to identify suspected infection and triggers the use of antibiotics pending results of cultures, which may take days. Cell count based surveillance diagnostics assumes a homogeneous distribution of cells in the CSF. Given the intraventricular sedimentation of erythrocytes on computed tomography scans this assumption may be erroneous and could affect diagnostics.

aimsTo evaluate the consistency of cell counts in serially sampled CSF from EVDs, with and without patient repositioning, to assess the effect on infection diagnostics.

methodsWe performed a prospective single-center study where routine CSF sampling was followed by a second sample after 10 min, allocated around a standard patient repositioning, or not. Changes in absolute and pairwise cell counts and ratios were analyzed, including mixed regression models.

resultsData from 51 patients and 162 paired samples were analyzed. We observed substantial changes in CSF cellularity as the result of both resampling and repositioning, with repositioning found to be an independent predictor of bidirectional cellular change. Glucose and lactate levels were affected, however clinically non-significant. No positive CSF cultures were seen during the study. Thirty percent (30%) of patients changed suspected EVDI status, as defined by the cell component of local and national guidelines, when resampling after repositioning.

conclusionsCSF cell counts are not consistent and are affected by patient movement suggesting a heterogeneity in the intraventricular space. The relationship between leukocytes and erythrocytes was less affected than absolute changes. Importantly, cell changes are found to increase with increased cellularity, often leading to changes in suspected EVDI status. Faster and more precise diagnostics are needed, and methods such as emerging next generation sequencing techniques my provide tools to more timely and accurately guide antibiotic treatment. Trial Registration NCT04736407, Clinicaltrials.gov, retrospectively registered 2nd February 2021.

Indexed as

AgedCatheter-Related InfectionsCell CountCerebral VentriclesCerebrospinal FluidCerebrospinal Fluid LeakFemaleHumansMaleMiddle AgedProspective StudiesSwedenCell countsCerebrospinal fluidExternal ventricular drainExternal ventricular drain associated infectionsInfection diagnostics

Identifiers

PMID34380543
PMCPMC8359042
OpenAlexW3191446774

What OpenQuestion holds

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Registered trials

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.