Real-time PCR Detection of the Most Common Bacteria and Viruses Causing Meningitis

Akkaya, Oya; Güvenç, Hülya İren; Yüksekkaya, Şerife; Opuş, Ayşegül; Güzelant, Asuman; Kaya, Meral; Kurtoğlu, Muhammet Güzel; Kaya, Nurettin

doi:10.7754/clin.lab.2016.160912

Cited by 19 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Of the DNA viruses that cause CNS infection, the varicella zoster virus is common. This finding differs from previous reports [ 16 ], but it is consistent with domestic reports [ 17 ]. The frequency of varicella zoster virus cases may be related to the area from which the patients were sampled, but these findings require further validation.…”

Section: Discussionsupporting

confidence: 78%

A Retrospective Analysis of Metagenomic Next Generation Sequencing (mNGS) of Cerebrospinal Fluid from Patients with Suspected Encephalitis or Meningitis Infections

Chen

Zeng

et al. 2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

We determined the clinical value of metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) for the diagnosis of patients with suspected encephalitis or meningitis infection. Clinical data were collected and retrospectively analyzed from patients with suspected cases of encephalitis or meningitis who presented at four hospitals in Ningbo from January 1st, 2019 to December 31st, 2020. Of a total of 66 suspected cases, 41 (62.12%) were diagnosed with central nervous system infections, which included 18 cases (27.27%) of viral infection, 13 cases (19.70%) of bacterial infection, 3 cases (4.55%) of Mycobacterium tuberculosis, 5 cases (7.58%) of fungal infection, and 2 cases (3.03%) of Rickettsia infection. From these cases, mNGS identified 25 (37.88%) true-positive cases, 8 (12.12%) false-positive cases, 20 (30.30%) true-negative cases, and 13 (19.70%) false-negative cases. The sensitivity of mNGS was 65.79% with a specificity of 71.43%. The positive rate was higher compared with traditional methods (37.88% vs. 24.39%). The results indicate that mNGS technology is a more sensitive method for detecting suspected infectious encephalitis or meningitis compared with traditional pathogen detection methods.

show abstract

Section: Discussionsupporting

confidence: 78%

A Retrospective Analysis of Metagenomic Next Generation Sequencing (mNGS) of Cerebrospinal Fluid from Patients with Suspected Encephalitis or Meningitis Infections

Chen

Zeng

et al. 2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…However, Akkaya et al, (2017) demonstrated that Enterovirus was the most frequently identified agent followed by Adenovirus and S . pneumoniae [ 36 ]. The discrepancy in the causative agents among different studies may be due to different age groups and different geographical area.…”

Section: Discussionmentioning

confidence: 99%

Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients

et al. 2021

View full text Add to dashboard Cite

Objectives Meningitis is a medical emergency with permanent disabilities and high mortality worldwide. We aimed to determine causative microorganisms and potential markers for differentiation between bacterial and viral meningitis. Methodology Adult patients with acute meningitis were subjected to lumber puncture. Cerebrospinal fluid (CSF) microorganisms were identified using Real-time PCR. PCT and CRP levels, peripheral and CSF-leucocyte count, CSF-protein and CSF-glucose levels were assessed. Results Out of 80 patients, infectious meningitis was confirmed in 75 cases; 38 cases were bacterial meningitis, 34 cases were viral meningitis and three cases were mixed infection. Higher PCT, peripheral and CSF-leukocytosis, higher CSF-protein and lower CSF-glucose levels were more significant in bacterial than viral meningitis patients. Neisseria meningitides was the most frequent bacteria and varicella-zoster virus was the most common virus. Using ROC analyses, serum PCT and CSF-parameters can discriminate bacterial from viral meningitis. Combined ROC analyses of PCT and CSF-protein significantly improved the effectiveness in predicting bacterial meningitis (AUC of 0.998, 100%sensitivity and 97.1%specificity) than each parameter alone (AUC of 0.951 for PCT and 0.996 for CSF-protein). Conclusion CSF-protein and serum PCT are considered as potential markers for differentiating bacterial from viral meningitis and their combination improved their predictive accuracy to bacterial meningitis.

show abstract

“…Limitations of the study include the application of the technique exclusively in monomicrobial cultures, the slowness and less sensitivity compared with molecular methods [21,22], and the possibility of bringing out contaminants that are further recovered in the liquid cultures, as negative-coagulase staphylococci. We informed clinicians responsible for the respective patients of any isolates recovered exclusively in the liquid media, although in the case of negative-coagulase staphylococci we advised evaluation with caution in terms of the significance of the microorganism in the clinical setting.…”

Section: Discussionmentioning

confidence: 99%

Direct identification of clinical pathogens from liquid culture media by MALDI-TOF MS analysis

Oviaño

Rodríguez‐Sánchez

Gómara-Lomero

et al. 2018

Clinical Microbiology and Infection

View full text Add to dashboard Cite

show abstract

Real-time PCR Detection of the Most Common Bacteria and Viruses Causing Meningitis

Cited by 19 publications

References 0 publications

A Retrospective Analysis of Metagenomic Next Generation Sequencing (mNGS) of Cerebrospinal Fluid from Patients with Suspected Encephalitis or Meningitis Infections

A Retrospective Analysis of Metagenomic Next Generation Sequencing (mNGS) of Cerebrospinal Fluid from Patients with Suspected Encephalitis or Meningitis Infections

Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients

Direct identification of clinical pathogens from liquid culture media by MALDI-TOF MS analysis

Contact Info

Product

Resources

About