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Meningitis, Bacterial

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Increased risk of group B Streptococcus causing meningitis in infants with mannose-binding lectin deficiency.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases 30832899
OBJECTIVES: To evaluate the association of mannose-binding lectin (MBL) deficiency with susceptibility and clinical features of group B Streptococcus (GBS) causing meningitis in Chinese infants.
Adult Alleles Case-Control Studies China Disease Susceptibility Female Genetic Association Studies Genotype Humans Infant Infant, Newborn Male Mannose-Binding Lectin Meningitis, Bacterial Metabolism, Inborn Errors Middle Aged Polymorphism, Genetic Risk Factors Streptococcal Infections Streptococcus agalactiae Young Adult
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Procalcitonin as a potential predicting factor for prognosis in bacterial meningitis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia 28341167
We investigated the potential role of serum procalcitonin in differentiating bacterial meningitis from viral meningitis, and in predicting the prognosis in patients with bacterial meningitis. This was a retrospective study of 80 patients with bacteri...
Adolescent Adult Aged Aged, 80 and over Biomarkers Calcitonin Diagnosis, Differential Female Hospital Mortality Humans Male Meningitis, Bacterial Meningitis, Viral Middle Aged Predictive Value of Tests Prognosis Retrospective Studies Young Adult
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Cerebrospinal fluid ferritin concentration in patients with purulent, bacterial meningitis – own observations.

Przeglad epidemiologiczny 28230338
THE AIM: The aim of the study was to evaluate the usefulness of cerebrospinal fluid (CSF) ferritin concentration assessment in adults with purulent, bacterial meningoencephalitis.
Adult Biomarkers Ciliary Neurotrophic Factor Female Ferritins Humans Interleukin-6 Male Meningitis, Bacterial Meningoencephalitis Prognosis Severity of Illness Index
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Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.

Journal of critical care 29413730
PURPOSE: To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the neuro-ICU and to identify HAVM risk factors using tree-based machine learning (ML) algorithms.
Adolescent Adult Cerebral Ventriculitis Child Child, Preschool Craniotomy Cross Infection Female Humans Incidence Intensive Care Units Machine Learning Male Meningitis, Bacterial Middle Aged Postoperative Complications Prospective Studies Risk Factors Russia Surgical Wound Infection Young Adult
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