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Meningitis [PDF]

open access: yesJournal of Neurology, Neurosurgery & Psychiatry, 1984
Publisher Summary This chapter describes the clinical aspects of meningitis. In most patients who prove to have meningitis, the need for lumbar puncture is evident on first assessment. Meningeal signs are often found in patients with pneumonia or with acute tonsillitis, in patients generally with high fever, and occasionally in certain specific ...
openaire   +3 more sources

Genomic characterization of Haemophilus influenzae: a focus on the capsule locus

open access: yesBMC Genomics, 2019
Background Haemophilus influenzae (Hi) can cause invasive diseases such as meningitis, pneumonia, or sepsis. Typeable Hi includes six serotypes (a through f), each expressing a unique capsular polysaccharide.
Caelin C. Potts   +11 more
doaj   +1 more source

An evaluation of an influenza vaccination campaign targeting pregnant women in 27 clinics in two provinces of South Africa, 2015 – 2018

open access: yesBMC Health Services Research, 2021
Introduction Despite prioritization, routine antenatal influenza vaccine coverage is
Kate Bishop   +12 more
doaj   +1 more source

From the microbiome to the central nervous system, an update on the epidemiology and pathogenesis of bacterial meningitis in childhood [version 1; referees: 3 approved] [PDF]

open access: yes, 2017
In the past century, advances in antibiotics and vaccination have dramatically altered the incidence and clinical outcomes of bacterial meningitis. We review the shifting epidemiology of meningitis in children, including after the implementation of ...
Janowski, Andrew B, Newland, Jason G
core   +3 more sources

Challenges and clinical relevance of molecular detection of Bordetella pertussis in South Africa

open access: yesBMC Infectious Diseases, 2019
Background We assessed the utility of a multi-target, real-time PCR assay for Bordetella pertussis detection and diagnosis in patients with severe respiratory illness (SRI), influenza-like illness (ILI), and asymptomatic controls.
Fahima Moosa   +10 more
doaj   +1 more source

Cryptococcal Meningitis Diagnostics and Screening in the Era of Point-of-Care Laboratory Testing. [PDF]

open access: yes, 2019
Over the past ten years, standard diagnostics for cryptococcal meningitis in HIV-infected persons have evolved from culture to India ink to detection of cryptococcal antigen (CrAg), with the recent development and distribution of a point-of-care lateral ...
Beyene, T   +5 more
core   +1 more source

Detection of (1,3)-β-d-Glucan in Cerebrospinal Fluid in Histoplasma Meningitis [PDF]

open access: yes, 2018
The diagnosis of central nervous system (CNS) histoplasmosis is often difficult. Although cerebrospinal fluid (CSF) (1,3)-β-d-glucan (BDG) is available as a biological marker for the diagnosis of fungal meningitis, there are limited data on its use for ...
Albers, Amanda   +12 more
core   +2 more sources

Whole genome sequencing for investigations of meningococcal outbreaks in the United States: a retrospective analysis

open access: yesScientific Reports, 2018
Although rare in the U.S., outbreaks due to Neisseria meningitidis do occur. Rapid, early outbreak detection is important for timely public health response. In this study, we characterized U.S.
Melissa J. Whaley   +10 more
doaj   +1 more source

Tuberculous meningitis

open access: yesClinical Case Reports, 2022
Tuberculous meningitis is possibly complicated with multiple cerebral infarctions and basal meningitis, and the mortality and neurological prognosis is reportedly poor. This case suggested that clinicians should consider tuberculous meningitis as a differential diagnosis of patients with disturbed consciousness in an aging country Japan.
Shinnosuke Fukushima   +4 more
openaire   +4 more sources

Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study

open access: yesDiagnostics, 2021
Differential diagnosis between bacterial and viral meningitis is crucial. In our study, to differentiate bacterial vs. viral meningitis, three machine learning (ML) algorithms (multiple logistic regression (MLR), random forest (RF), and naïve-Bayes (NB))
Alexios-Fotios A. Mentis   +6 more
doaj   +1 more source

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