Literature DB >> 28337608

Age-specific application of neutrophil-to-lymphocyte ratio in meningitis: a nationwide study.

A-F A Mentis1,2, M A Kyprianou3, G Tzanakaki3.   

Abstract

Cerebrospinal fluid (CSF) neutrophil counts and neutrophil-to-lymphocyte ratio (NLR) are useful in distinguishing bacterial and viral meningitis. Given that meningitis is clinically heterogeneous with regard to age, here we investigated the validity of the CSF NLR and neutrophil assay according to age group. Data from the nationwide referral of >4,000 meningitis cases to the Hellenic Meningitis Reference Laboratory between 2006 and 2013 were examined. CSF NLR and neutrophil counts were stratified according to age, and assay performance was determined using previous cut-off values of 2 and 287 cells/μl for CSF NLR and neutrophils respectively. The distribution of bacterial versus viral meningitis was heterogenous across age groups, with a low proportion of bacterial meningitis in patients aged 5-14. CSF neutrophil count and NLR were significantly more discriminatory for bacterial meningitis in patients aged over 14 years than those aged 0-14. The odds ratio (OR), sensitivity, specificity and positive predictive value (PPV) were significantly higher in older patients for both biomarkers. When combined, the false-positive and false-negative detection of bacterial meningitis was 3.9 and 8.5% respectively, and the OR of 262.2 was 2.5-fold greater than expected from a multiplicative effect alone in patients aged >14 years. Care is required when applying diagnostic tests for meningitis in different age groups because of patient heterogeneity. This is the first description of the age distribution of meningitis cases in Greece, and knowledge of the age-related distribution of neutrophils and NLR in meningitis cases could help towards developing age-specific meningitis diagnostic assays.

Entities:  

Keywords:  Absolute Lymphocyte Count; Bacterial Meningitis; Meningitis; Neutrophil Count; Positive Predictive Value

Mesh:

Year:  2017        PMID: 28337608     DOI: 10.1007/s10096-017-2967-y

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  18 in total

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Authors:  Matthijs C Brouwer; Allan R Tunkel; Diederik van de Beek
Journal:  Clin Microbiol Rev       Date:  2010-07       Impact factor: 26.132

2.  Neutrophil-to-lymphocyte ratio in the differential diagnosis of acute bacterial meningitis.

Authors:  A-F A Mentis; M A Kyprianou; A Xirogianni; K Kesanopoulos; G Tzanakaki
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-01-20       Impact factor: 3.267

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Authors:  G Tzanakaki; M Tsopanomichalou; K Kesanopoulos; R Matzourani; M Sioumala; A Tabaki; J Kremastinou
Journal:  Clin Microbiol Infect       Date:  2005-05       Impact factor: 8.067

4.  Epidemiological analysis on two decades of hospitalisations for meningitis in the United States.

Authors:  P Pellegrino; C Carnovale; V Perrone; D Salvati; M Gentili; T Brusadelli; S Antoniazzi; M Pozzi; S Radice; E Clementi
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-04-23       Impact factor: 3.267

5.  Hospital admission rates for meningitis and septicaemia caused by Haemophilus influenzae, Neisseria meningitidis, and Streptococcus pneumoniae in children in England over five decades: a population-based observational study.

Authors:  Natalie G Martin; Manish Sadarangani; Andrew J Pollard; Michael J Goldacre
Journal:  Lancet Infect Dis       Date:  2014-03-14       Impact factor: 25.071

Review 6.  Acute bacterial meningitis in infants and children: epidemiology and management.

Authors:  Shruti Agrawal; Simon Nadel
Journal:  Paediatr Drugs       Date:  2011-12-01       Impact factor: 3.022

7.  Time trends of viral meningitis among young adults in Israel: 1978-2012.

Authors:  Hagai Levine; Daniel Mimouni; Anat Zurel-Farber; Alon Zahavi; Vered Molina-Hazan; Yael Bar-Zeev; Michael Huerta-Hartal
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-01-24       Impact factor: 3.267

8.  Development of a single-tube polymerase chain reaction assay for the simultaneous detection of Haemophilus influenzae, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus spp. directly in clinical samples.

Authors:  Athanasia Xirogianni; Georgina Tzanakaki; Eleni Karagianni; Panayiotis Markoulatos; Jenny Kourea-Kremastinou
Journal:  Diagn Microbiol Infect Dis       Date:  2008-11-21       Impact factor: 2.803

9.  Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors: 
Journal:  Lancet       Date:  2014-12-18       Impact factor: 79.321

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

Authors:  Ula Khatib; Diederik van de Beek; John A Lees; Matthijs C Brouwer
Journal:  J Infect       Date:  2016-10-13       Impact factor: 6.072

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  3 in total

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Authors:  Lena Hueske; Tobias Bobinger; Antje Giede-Jeppe; Selim Atay; Julia Koehn; Anne Mrochen; Hannes Luecking; Philip Hoelter; Bastian Volbers; Hagen B Huttner
Journal:  Sci Rep       Date:  2021-05-31       Impact factor: 4.379

2.  Association Between Rapid Antigen Testing and Antibiotic Use and Accuracy of Peripheral Blood Parameters in Detecting Group A Streptococcus in Children With Tonsillopharyngitis.

Authors:  Yakup Cag; Abdurrahman Avar Özdemir; Ufuk Yükselmiş; Ezgi Akdeniz; Mustafa Özçetin
Journal:  Front Pediatr       Date:  2019-08-02       Impact factor: 3.418

3.  Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study.

Authors:  Alexios-Fotios A Mentis; Irene Garcia; Juan Jiménez; Maria Paparoupa; Athanasia Xirogianni; Anastasia Papandreou; Georgina Tzanakaki
Journal:  Diagnostics (Basel)       Date:  2021-03-28
  3 in total

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