Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients.
<h4>Objectives</h4>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.<h4>Methodology</h4>Adult patients wi...
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oai:doaj.org-article:515b5e41382d45b98eaaf576b657c2f32021-11-25T06:23:33ZMicrobial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients.1932-620310.1371/journal.pone.0251518https://doaj.org/article/515b5e41382d45b98eaaf576b657c2f32021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251518https://doaj.org/toc/1932-6203<h4>Objectives</h4>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.<h4>Methodology</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.Sultan F AlnomasyBader S AlotaibiAhmed H MujamammiElham A HassanMohamed E AliPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0251518 (2021) |
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Medicine R Science Q Sultan F Alnomasy Bader S Alotaibi Ahmed H Mujamammi Elham A Hassan Mohamed E Ali Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
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<h4>Objectives</h4>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.<h4>Methodology</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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. |
format |
article |
author |
Sultan F Alnomasy Bader S Alotaibi Ahmed H Mujamammi Elham A Hassan Mohamed E Ali |
author_facet |
Sultan F Alnomasy Bader S Alotaibi Ahmed H Mujamammi Elham A Hassan Mohamed E Ali |
author_sort |
Sultan F Alnomasy |
title |
Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
title_short |
Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
title_full |
Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
title_fullStr |
Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
title_full_unstemmed |
Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
title_sort |
microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult patients. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/515b5e41382d45b98eaaf576b657c2f3 |
work_keys_str_mv |
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1718413801606348800 |