Rapid detection of bacterial meningitis using a point-of-care glucometer.


Journal

European journal of emergency medicine : official journal of the European Society for Emergency Medicine
ISSN: 1473-5695
Titre abrégé: Eur J Emerg Med
Pays: England
ID NLM: 9442482

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 12 8 2017
medline: 4 4 2019
entrez: 12 8 2017
Statut: ppublish

Résumé

In case of acute bacterial meningitis, a decision on the need for intensive care admission should be made within the first hour. The aim of this study was to assess the ability of a point-of-care glucometer to determine abnormal cerebrospinal fluid (CSF) glucose concentration at the bedside that contributes toward bacterial meningitis diagnosis. We carried out a prospective study and simultaneously measured the glucose concentrations in CSF and blood using a central laboratory and a point-of-care glucometer. We compared CSF/blood glucose ratios obtained at the bedside with a glucometer versus those obtained by the central laboratory. We determined the performance characteristics of the CSF/blood glucose ratio provided by a glucometer to detect bacterial infection in the CSF immediately after CSF sampling. We screened 201 CSF collection procedures during the study period and included 172 samples for analysis. Acute bacterial meningitis was diagnosed in 17/172 (9.9%) of CSF samples. The median turnaround time for a point-of-care glucometer analysis was 5 (interquartile range 2-10) min versus 112 (interquartile range 86-154) min for the central laboratory (P<0.0001). The optimal cut-off of the CSF/blood glucose ratio calculated from a bedside glucometer was 0.46, with a sensitivity of 94.1% (95% confidence interval: 71.3-99.9%), a specificity of 91% (95% confidence interval: 85.3-95%), and a positive likelihood ratio of 10. A glucometer accurately detects an abnormal CSF/blood glucose ratio immediately after the lumbar puncture. This cheap point-of-care method has the potential to speed up the diagnostic process of patients with bacterial meningitis.

Sections du résumé

BACKGROUND BACKGROUND
In case of acute bacterial meningitis, a decision on the need for intensive care admission should be made within the first hour. The aim of this study was to assess the ability of a point-of-care glucometer to determine abnormal cerebrospinal fluid (CSF) glucose concentration at the bedside that contributes toward bacterial meningitis diagnosis.
METHODS METHODS
We carried out a prospective study and simultaneously measured the glucose concentrations in CSF and blood using a central laboratory and a point-of-care glucometer. We compared CSF/blood glucose ratios obtained at the bedside with a glucometer versus those obtained by the central laboratory. We determined the performance characteristics of the CSF/blood glucose ratio provided by a glucometer to detect bacterial infection in the CSF immediately after CSF sampling.
RESULTS RESULTS
We screened 201 CSF collection procedures during the study period and included 172 samples for analysis. Acute bacterial meningitis was diagnosed in 17/172 (9.9%) of CSF samples. The median turnaround time for a point-of-care glucometer analysis was 5 (interquartile range 2-10) min versus 112 (interquartile range 86-154) min for the central laboratory (P<0.0001). The optimal cut-off of the CSF/blood glucose ratio calculated from a bedside glucometer was 0.46, with a sensitivity of 94.1% (95% confidence interval: 71.3-99.9%), a specificity of 91% (95% confidence interval: 85.3-95%), and a positive likelihood ratio of 10.
CONCLUSION CONCLUSIONS
A glucometer accurately detects an abnormal CSF/blood glucose ratio immediately after the lumbar puncture. This cheap point-of-care method has the potential to speed up the diagnostic process of patients with bacterial meningitis.

Identifiants

pubmed: 28799985
doi: 10.1097/MEJ.0000000000000495
doi:

Substances chimiques

Blood Glucose 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

41-46

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Auteurs

Geoffroy Rousseau (G)

Emergency Department.
François Rabelais University, Tours, France.

Romain Asmolov (R)

Department of Anesthesiology and Intensive Care.
François Rabelais University, Tours, France.

Leslie Grammatico-Guillon (L)

Epidemiology Unit.
François Rabelais University, Tours, France.

Adrien Auvet (A)

Department of Anesthesiology and Intensive Care.
François Rabelais University, Tours, France.

Said Laribi (S)

Emergency Department.
François Rabelais University, Tours, France.

Denis Garot (D)

Department of Intensive Care Medicine, Teaching Hospital of Tours.

Youenn Jouan (Y)

Department of Intensive Care Medicine, Teaching Hospital of Tours.
François Rabelais University, Tours, France.

Pierre-François Dequin (PF)

Department of Intensive Care Medicine, Teaching Hospital of Tours.
François Rabelais University, Tours, France.

Antoine Guillon (A)

Department of Intensive Care Medicine, Teaching Hospital of Tours.
François Rabelais University, Tours, France.

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Classifications MeSH