Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Jan;74(1):1-9.
doi: 10.1016/j.jinf.2016.09.007. Epub 2016 Oct 13.

Adults with suspected central nervous system infection: A prospective study of diagnostic accuracy

Affiliations

Adults with suspected central nervous system infection: A prospective study of diagnostic accuracy

Ula Khatib et al. J Infect. 2017 Jan.

Abstract

Objectives: To study the diagnostic accuracy of clinical and laboratory features in the diagnosis of central nervous system (CNS) infection and bacterial meningitis.

Methods: We included consecutive adult episodes with suspected CNS infection who underwent cerebrospinal fluid (CSF) examination. The reference standard was the diagnosis classified into five categories: 1) CNS infection; 2) CNS inflammation without infection; 3) other neurological disorder; 4) non-neurological infection; and 5) other systemic disorder.

Results: Between 2012 and 2015, 363 episodes of suspected CNS infection were included. CSF examination showed leucocyte count >5/mm3 in 47% of episodes. Overall, 89 of 363 episodes were categorized as CNS infection (25%; most commonly viral meningitis [7%], bacterial meningitis [7%], and viral encephalitis [4%]), 36 (10%) episodes as CNS inflammatory disorder, 111 (31%) as systemic infection, in 119 (33%) as other neurological disorder, and 8 (2%) as other systemic disorders. Diagnostic accuracy of individual clinical characteristics and blood tests for the diagnosis of CNS infection or bacterial meningitis was low. CSF leucocytosis differentiated best between bacterial meningitis and other diagnoses (area under the curve [AUC] 0.95) or any neurological infection versus other diagnoses (AUC 0.93).

Conclusions: Clinical characteristics fail to differentiate between neurological infections and other diagnoses, and CSF analysis is the main contributor to the final diagnosis.

Keywords: Cerebrospinal fluid; Diagnostic test assessment; Encephalitis; Meningitis.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest

The authors declare that they have no conflict of interest. The funding source was not involved in the current analyses or in the preparation of this report. The corresponding author had full access to all data and had the final responsibility for the decision to submit for publication.

The authors declare they have no conflicts of interest.

Figures

Figure 1
Figure 1. Diagnosis in patients with suspected neurological infection.
Abbreviations: CNS=Central nervous system, HaNDL=Transient headache and neurological deficits with cerebrospinal fluid lymphocytosis. aHistoplasma encephalitis, neuroborreliosis, neurosyphilis and brain abscess (n=1). bTraumatic brain injury, benign intracranial hypertension, cerebral lymphoma, peripherial neuropathy.
Figure 2
Figure 2
Scatter plot displaying individual values of age (A), C-reactive protein levels (B), blood leukocyte count (C), CSF leukocyte count (D), total protein level (E) and CSF to blood glucose ratio levels (F) per diagnosis category. Footnote: Categories left of the vertical line consider neurological infections, right of the line other diagnostic categories. Each dot represents one episodes, the grey box in panel A indicates the age category of patients who were not included in the study, the dashed horizontal lines in panel B-E indicate the upper limit of normal (C-reactive protein 5 mg/L, blood leukocyte count 10.5x109/L, CSF leukocyte count 5/mm3, CSF protein 0.60 g/L), and in panel F the lower limits of normal (CSF to blood glucose ratio 0.6).

Comment in

References

    1. Brouwer MC, Thwaites GE, Tunkel AR, van de Beek D. Dilemmas in the diagnosis of acute community-acquired bacterial meningitis. Lancet. 2012;380:1684–1692. - PubMed
    1. van de Beek D, de Gans J, Tunkel AR, Wijdicks EF. Community-acquired bacterial meningitis in adults. N Engl J Med. 2006;354:44–53. - PubMed
    1. Thomas KE, Hasbun R, Jekel J, Quagliarello VJ. The diagnostic accuracy of Kernig’s sign, Brudzinski’s sign, and nuchal rigidity in adults with suspected meningitis. Clin Infect Dis. 2002;35:46–52. - PubMed
    1. Jennett B, Teasdale G, Braakman R, Minderhoud J, Knill-Jones R. Predicting outcome in individual patients after severe head injury. Lancet. 1976;1:1031–1034. - PubMed
    1. Hajian-Tilaki K. Sample size estimation in diagnostic test studies of biomedical informatics. J Biomed Inform. 2014;48:193–204. - PubMed

Publication types

MeSH terms

LinkOut - more resources