Cited by 28Bacterial Infections and VaccinesBacterial Identification and Susceptibility TestingInfectious Encephalopathies and Encephalitis

Distinguishing community-acquired bacterial and viral meningitis: Microbes and biomarkers

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Ivaska, Lauri, Herberg, Jethro, Sadarangani, Manish·2024·Journal of Infection

Abstract

Diagnostic tools to differentiate between community-acquired bacterial and viral meningitis are essential to target the potentially lifesaving antibiotic treatment to those at greatest risk and concurrently spare patients with viral meningitis from the disadvantages of antibiotics. In addition, excluding bacterial meningitis and thus decreasing antibiotic consumption would be important to help reduce antimicrobial resistance and healthcare expenses. The available diagnostic laboratory tests for differentiating bacterial and viral meningitis can be divided microbiological pathogen-focussed methods and biomarkers of the host response. Bacterial culture-independent microbiological methods, such as highly multiplexed nucleic acid amplification tests, are rapidly making their way into the clinical practice. At the same time, more conventional host protein biomarkers, such as procalcitonin and C-reactive protein, are supplemented by newer proteomic and transcriptomic signatures. This review aims to summarise the current state and the recent advances in diagnostic methods to differentiate bacterial from viral meningitis.

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  • PCR is considered the gold standard test for viral meningitis detection and detects viral nucleic acid with the highest sensitivity.

    “but, PCR is considered as the gold standard test for viral meningitis detection. It detects viral nucleic acid with the highest sensitivity rates [1, 2].”

    From Herpetic viral dominance in pediatric meningitis and meningoencephalitis (2026) · cites this paper as [2]

    The Pathogen-specific NAATs section (page not provided) calls nucleic acid amplification tests the mainstay of enterovirus diagnosis because they are more clinically sensitive than viral culture, and calls PCR the method of choice for parechovirus infections. It does not designate PCR the gold standard for all viral meningitis or establish that it has the highest sensitivity across tests; it also cautions that some commercial assays lack sufficient sensitivity. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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  1. Lucas MJ, Brouwer MC, van de Beek D. Neurological sequelae of bacterial meningitis. J Infect 2016;73:18-27. Doi: 10.1016/j.jinf.2016.04.009. · DOI
  2. Proulx N, Fréchette D, Toye B, Chan J, Kravcik S. Delays in the administration of antibiotics are associated with mortality from adult acute bacterial meningitis. QJM Int J Med 2005;98:291-8. Doi: 10.1093/QJMED/HCI047. · DOI · Paper page
  3. Aronin SI, Peduzzi P, Quagliarello VJ. Community-acquired bacterial meningitis: Risk stratification for adverse clinical outcome and effect of antibiotic timing. Ann Intern Med 1998;129:862-9. Doi: 10.7326/0003-4819-129-11_PART_1-199812010-00004. · DOI · Paper page
  4. van de Beek D, Cabellos C, Dzupova O, Esposito S, Klein M, Kloek AT, et al. ESCMID guideline: diagnosis and treatment of acute bacterial meningitis. Clin Microbiol Infect 2016;22:S37-62. Doi: 10.1016/j.cmi.2016.01.007. · DOI · Paper page
  5. McGill F, Heyderman RS, Michael BD, Defres S, Beeching NJ, Borrow R, et al. The UK joint specialist societies guideline on the diagnosis and management of acute meningitis and meningococcal sepsis in immunocompetent adults. J Infect 2016;72:405-38. Doi: 10.1016/j.jinf.2016.01.007. · DOI · Paper page
  6. J o u r n a l P r e -p r o o f 8 Radetsky M. Duration of symptoms and outcome in bacterial meningitis: an analysis of causation and the implications of a delay in diagnosis. Pediatr Infect Dis J 1992;11:694-7. Doi: 10.1097/00006454-199209000-00002. · DOI
  7. Robinson CC, Willis M, Meagher A, Gieseker KE, Rotbart H, Glodé MP. Impact of rapid polymerase chain reaction results on management of pediatric patients with enteroviral meningitis. Pediatr Infect Dis J 2002;21:283-6. Doi: 10.1097/00006454-200204000-00005. · DOI · Paper page
  8. Ramers C, Billman G, Hartin M, Ho S, Sawyer MH. Impact of a Diagnostic Cerebrospinal Fluid Enterovirus Polymerase Chain Reaction Test on Patient Management. JAMA 2000;283:2680-5. Doi: 10.1001/jama.283.20.2680. · DOI · Paper page
  9. Giulieri SG, Chapuis-Taillard C, Manuel O, Hugli O, Pinget C, Wasserfallen JB, et al. Rapid detection of enterovirus in cerebrospinal fluid by a fully-automated PCR assay is associated with improved management of aseptic meningitis in adult patients. J Clin Virol 2015;62:58-62. Doi: 10.1016/J.JCV.2014.11.001. · DOI
  10. Lee BR, Sasidharan A, Harrison CJ, Selvarangan R. Positive impact of routine testing for enterovirus and parechovirus on length of hospitalization and antimicrobial use among inpatients ≤6 months of age. J Clin Microbiol 2021;59:e02106-20. Doi: 10.1128/JCM.02106- 20. · DOI
  11. Duong QA, Pittet LF, Curtis N, Zimmermann P. Antibiotic exposure and adverse long-term health outcomes in children: a systematic review and meta-analysis. J Infect 2022;85:213-300. Doi: 10.1016/J.JINF.2022.01.005. · DOI
  12. Peltola H. Worldwide Haemophilus influenzae type b disease at the beginning of the 21st century: global analysis of the disease burden 25 years after the use of the polysaccharide vaccine and a decade after the advent of conjugates. Clin Microbiol Rev 2000;13:302-17. Doi: 10.1128/CMR.13.2.302. · DOI
  13. Pelton SI. The Global Evolution of Meningococcal Epidemiology Following the Introduction of Meningococcal Vaccines. J Adolesc Health 2016;59:S3-11. Doi: 10.1016/j.jadohealth.2016.04.012. · DOI · Paper page
  14. Hsu HE, Shutt KA, Moore MR, Beall BW, Bennett NM, Craig AS, et al. Effect of Pneumococcal Conjugate Vaccine on Pneumococcal Meningitis. N Engl J Med 2009;360:244- 56. Doi: 10.1056/NEJMoa0800836. · DOI · Paper page
  15. Martin NG, Sadarangani M, Pollard AJ, Goldacre MJ. 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. Lancet Infect Dis 2014;14:397-405. Doi: 10.1016/S1473-3099(14)70027-1. · DOI · Paper page
  16. Mwenda JM, Soda E, Weldegebriel G, Katsande R, Biey JNM, Traore T, et al. Pediatric Bacterial Meningitis Surveillance in the World Health Organization African Region Using the Invasive Bacterial Vaccine-Preventable Disease Surveillance Network, 2011-2016. Clin Infect Dis 2019;69:S49-57. Doi: 10.1093/cid/ciz472. · DOI
  17. Nigrovic LE, Kuppermann N, Macias CG, Cannavino CR, Moro-Sutherland DM, Schremmer RD, et al. Clinical Prediction Rule for Identifying Children With Cerebrospinal Fluid J o u r n a l P r e -p r o o f Pleocytosis at Very Low Risk of Bacterial Meningitis. JAMA 2007;297:52-60. Doi: 10.1001/jama.297.1.52. · DOI · Paper page
  18. Dubos F, Korczowski B, Aygun DA, Martinot A, Prat C, Galetto-Lacour A, et al. Distinguishing between bacterial and aseptic meningitis in children: European comparison of two clinical decision rules. Arch Dis Child 2010;95:963-7. Doi: 10.1136/adc.2010.186056. · DOI
  19. Nigrovic LE, Malley R, Kuppermann N. Meta-analysis of bacterial meningitis score validation studies. Arch Dis Child 2012;97:799-805. Doi: 10.1136/archdischild-2012-301798. · DOI
  20. van Soest TM., ter Horst L, Chekrouni N, Bijlsma MW, Brouwer MC, Urueta Portillo D, et al. A risk score for identifying patients at a low risk of bacterial meningitis amongst adults with cerebrospinal fluid leucocytosis and a negative gram stain result: a derivation and validation study. Clin Microbiol Infect 2023;29:360-5. Doi: 10.1016/j.cmi.2022.10.001. · DOI
  21. Ramasamy R, Willis L, Kadambari S, Kelly DF, Heath PT, Nadel S, et al. Management of suspected paediatric meningitis: a multicentre prospective cohort study. Arch Dis Child 2018;103:1114-8. Doi: 10.1136/archdischild-2017-313913. · DOI
  22. Ramilo O, Allman W, Chung W, Mejias A, Ardura M, Glaser C, et al. Gene expression patterns in blood leukocytes discriminate patients with acute infections. Blood 2007;109:2066-77. Doi: 10.1182/blood-2006-02-002477. · DOI
  23. Mahajan P, Kuppermann N, Mejias A, Suarez N, Chaussabel D, Casper TC, et al. Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger. JAMA 2016;316:846-57. Doi: 10.1001/jama.2016.9207. · DOI
  24. Herberg JA, Kaforou M, Wright VJ, Shailes H, Eleftherohorinou H, Hoggart C, et al. Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children. JAMA 2016;316:835-45. Doi: 10.1001/jama.2016.11236. · DOI
  25. van Houten CB, de Groot JAH, Klein A, Srugo I, Chistyakov I, de Waal W, et al. A host- protein based assay to differentiate between bacterial and viral infections in preschool children (OPPORTUNITY): a double-blind, multicentre, validation study. Lancet Infect Dis 2017;17:431-40. Doi: 10.1016/S1473-3099(16)30519-9. · DOI
  26. Oved K, Cohen A, Boico O, Navon R, Friedman T, Etshtein L, et al. A Novel Host-Proteome Signature for Distinguishing between Acute Bacterial and Viral Infections. PLOS ONE 2015;10:e0120012. Doi: 10.1371/journal.pone.0120012. · DOI
  27. Ko ER., Henao R, Frankey K, Petzold EA, Isner PD, Jaehne AK, et al. Prospective Validation of a Rapid Host Gene Expression Test to Discriminate Bacterial From Viral Respiratory Infection. JAMA Netw Open 2022;5:E227299. Doi: 10.1001/JAMANETWORKOPEN.2022.7299. · DOI
  28. Bodkin N, Ross M, McClain MT, Ko ER, Woods CW, Ginsburg GS, et al. Systematic comparison of published host gene expression signatures for bacterial/viral discrimination. Genome Med 2022;14:18. Doi: 10.1186/S13073-022-01025-X. · DOI
  29. Bauer W, Kappert K, Galtung N, Lehmann D, Wacker J, Cheng HK, et al. A Novel 29- Messenger RNA Host-Response Assay from Whole Blood Accurately Identifies Bacterial and Viral Infections in Patients Presenting to the Emergency Department with Suspected Infections: A Prospective Observational Study. Crit Care Med 2021;49:1664-73. Doi: 10.1097/CCM.0000000000005119. · DOI
  30. Safarika A, Wacker JW., Katsaros K, Solomonidi N, Giannikopoulos G, Kotsaki A, et al. A 29- mRNA host response test from blood accurately distinguishes bacterial and viral infections among emergency department patients. Intensive Care Med Exp 2021;9:1-16. Doi: 10.1186/S40635-021-00394-8. · DOI
  31. Tsalik EL, Henao R, Montgomery JL, Nawrocki JW, Aydin M, Lydon EC, et al. Discriminating Bacterial and Viral Infection Using a Rapid Host Gene Expression Test. Crit Care Med 2021;1:1651-63. Doi: 10.1097/CCM.0000000000005085. J o u r n a l P r e -p r o o f 38 Ravichandran S, Banerjee U, Gayathri D, Kandukuru R, Thakur C, Chakravortty D, et al. VB10, a new blood biomarker for differential diagnosis and recovery monitoring of acute viral and bacterial infections. EBioMedicine 2021;67:103352. Doi: https://doi.org/10.1016/j.ebiom.2021.103352. · DOI
  32. Rao AM., Popper SJ, Gupta S, Davong V, Vaidya K, Chanthongthip A, et al. A robust host- response-based signature distinguishes bacterial and viral infections across diverse global populations. Cell Rep Med 2022;3:100842. Doi: 10.1016/J.XCRM.2022.100842. · DOI
  33. Shah P, Voice M, Calvo-Bado L, Rivero-Calle I, Morris S, Nijman R, et al. Relationship between molecular pathogen detection and clinical disease in febrile children across Europe: a multicentre, prospective observational study. Lancet Reg Health Eur 2023;32:100682. Doi: 10.1016/j.lanepe.2023.100682. · DOI
  34. Someko H, Okazaki Y, Tsujimoto Y, Ishikane M, Kubo K, Kakehashi T. Diagnostic accuracy of rapid antigen tests in cerebrospinal fluid for pneumococcal meningitis: a systematic review and meta-analysis. Clin Microbiol Infect 2023;29:310-9. Doi: 10.1016/j.cmi.2022.12.002. · DOI
  35. Gorgievski-Hrisoho M, Schumacher JD, Vilimonovic N, Germann D, Matter L. Detection by PCR of enteroviruses in cerebrospinal fluid during a summer outbreak of aseptic meningitis in Switzerland. J Clin Microbiol 1998;36:2408-12.
  36. Lafolie J, Labbé A, L'Honneur AS, Madhi F, Pereira B, Decobert M, et al. Assessment of blood enterovirus PCR testing in paediatric populations with fever without source, sepsis-like disease, or suspected meningitis: a prospective, multicentre, observational cohort study. Lancet Infect Dis 2018;18:1385-96. Doi: 10.1016/S1473-3099(18)30479-1. · DOI
  37. Kadambari S, Harvala H, Simmonds P, Pollard AJ, Sadarangani M. Strategies to improve detection and management of human parechovirus infection in young infants. Lancet Infect Dis 2019;19:e51-8. Doi: 10.1016/S1473-3099(18)30288-3. · DOI
  38. Hayes A, Nguyen D, Andersson M, Antón A, Bailly JL, Beard S, et al. A European multicentre evaluation of detection and typing methods for human enteroviruses and parechoviruses using RNA transcripts. J Med Virol 2020;92:1065-74. Doi: 10.1002/JMV.25659. · DOI
  39. du Chatelet IP, Traore Y, Gessner BD, Antignac A, Naccro B, Njanpop-Lafourcade BM, et al. Bacterial Meningitis in Burkina Faso: Surveillance Using Field-Based Polymerase Chain Reaction Testing. Clin Infect Dis 2005;40:17-25. Doi: 10.1086/426436. · DOI · Paper page
  40. Heinsbroek E, Ladhani S, Gray S, Guiver M, Kaczmarski E, Borrow R, et al. Added value of PCR-testing for confirmation of invasive meningococcal disease in England. J Infect 2013;67:385-90. Doi: 10.1016/j.jinf.2013.06.007. · DOI
  41. Corless CE, Guiver M, Borrow R, Edwards-Jones V, Fox AJ, Kaczmarski EB. Simultaneous detection of Neisseria meningitidis, Haemophilus influenzae, and Streptococcus pneumoniae in suspected cases of meningitis and septicemia using real-time PCR. J Clin Microbiol 2001;39:1553-8. Doi: 10.1128/JCM.39.4.1553-1558.2001. · DOI
  42. Morrissey SM, Nielsen M, Ryan L, Al Dhanhani H, Meehan M, McDermott S, et al. Group B streptococcal PCR testing in comparison to culture for diagnosis of late onset bacteraemia and meningitis in infants aged 7-90 days: a multi-centre diagnostic accuracy study. Eur J Clin Microbiol Infect Dis 2017;36:1317-24. Doi: 10.1007/s10096-017-2938-3. · DOI
  43. Bryant PA, Li HY, Zaia A, Griffith J, Hogg G, Curtis N, et al. Prospective study of a real-time PCR that is highly sensitive, specific, and clinically useful for diagnosis of meningococcal disease in children. J Clin Microbiol 2004;42:2919-25. Doi: 10.1128/JCM.42.7.2919- 2925.2004. · DOI
  44. Ouattara M, Whaley MJ, Jenkins LT, Schwartz SB, Traoré RO, Diarra S, et al. Triplex real-time PCR assay for the detection of Streptococcus pneumoniae, Neisseria meningitidis and Haemophilus influenzae directly from clinical specimens without extraction of DNA. Diagn Microbiol Infect Dis 2019;93:188-90. Doi: 10.1016/j.diagmicrobio.2018.10.008. · DOI
  45. Liesman RM, Strasburg AP, Heitman AK, Theel ES, Patel R, Binnicker MJ. Evaluation of a Commercial Multiplex Molecular Panel for Diagnosis of Infectious Meningitis and Encephalitis. J Clin Microbiol 2018;56:e01927-17. Doi: 10.1128/JCM.01927-17. · DOI · Paper page
  46. Graf EH, Farquharson MV, Cárdenas AM. Comparative evaluation of the FilmArray meningitis/encephalitis molecular panel in a pediatric population. Diagn Microbiol Infect Dis 2017;87:92-4. Doi: 10.1016/j.diagmicrobio.2016.09.022. · DOI · Paper page
  47. Arora Harbir S, Asmar BI., Salimnia H, Agarwal P, Chawla S, Abdel-Haq N. Enhanced Identification of Group B Streptococcus and Escherichia Coli in Young Infants with Meningitis Using the Biofire Filmarray Meningitis/Encephalitis Panel. Pediatr Infect Dis J 2017;36:685-7. Doi: 10.1097/INF.0000000000001551. · DOI · Paper page
  48. Tarai B, Das P. FilmArray® meningitis/encephalitis (ME) panel, a rapid molecular platform for diagnosis of CNS infections in a tertiary care hospital in North India: one-and-half-year review. Neurol Sci 2019;40:81-8. Doi: 10.1007/s10072-018-3584-y. · DOI · Paper page
  49. Hanson KE, Slechta ES, Killpack JA, Heyrend C, Lunt T, Daly JA, et al. Preclinical Assessment of a Fully Automated Multiplex PCR Panel for Detection of Central Nervous System Pathogens. J Clin Microbiol 2016;54:785-7. Doi: 10.1128/JCM.02850-15. · DOI · Paper page
  50. Wootton SH, Aguilera E, Salazar L, Hemmert AC, Hasbun R. Enhancing pathogen identification in patients with meningitis and a negative Gram stain using the BioFire FilmArray(®) Meningitis/Encephalitis panel. Ann Clin Microbiol Antimicrob 2016;15:26. Doi: 10.1186/s12941-016-0137-1. · DOI · Paper page
  51. Park SE, Lim TJ, Nam SO, Chang CL, Byun SY, Ko A, et al. Clinical utility of the FilmArray meningitis/encephalitis panel in children at a tertiary center in South Korea. Brain Dev 2021;43:234-43. Doi: 10.1016/j.braindev.2020.08.010. · DOI
  52. Lewis PO, Lanier CG, Patel PD, Krolikowski WD, Krolikowski MA. False negative diagnostic errors with polymerase chain reaction for the detection of cryptococcal meningoencephalitis. Med Mycol 2020;58:408-10. Doi: 10.1093/mmy/myz064. · DOI
  53. Van TT, Kim TH, Butler-Wu SM. Evaluation of the Biofire FilmArray meningitis/encephalitis assay for the detection of Cryptococcus neoformans/gattii. Clin Microbiol Infect 2020;26:1375- 9. Doi: 10.1016/j.cmi.2020.01.007. · DOI
  54. Moffa MA, Bremmer DN, Carr D, Buchanan C, Shively NR, Elrufay R, et al. Impact of a Multiplex Polymerase Chain Reaction Assay on the Clinical Management of Adults J o u r n a l P r e -p r o o f Undergoing a Lumbar Puncture for Suspected Community-Onset Central Nervous System Infections. Antibiotics 2020;9:282. Doi: 10.3390/antibiotics9060282. · DOI
  55. McDonald D, Gagliardo C, Chiu S, Di Pentima MC. Impact of a rapid diagnostic meningitis/encephalitis panel on antimicrobial use and clinical outcomes in children. Antibiotics 2020;9:1-9. Doi: 10.3390/antibiotics9110822. · DOI
  56. Evans M, Merkel KG., Harder J, Rose DT. Impact of the implementation of a rapid meningitis/encephalitis multiplex polymerase chain reaction panel on IV acyclovir duration: multicenter, retrospective cohort of adult and pediatric patients. Diagn Microbiol Infect Dis 2020;96:114935. Doi: 10.1016/j.diagmicrobio.2019.114935. · DOI
  57. Hagen A, Eichinger A, Meyer-Buehn M, Schober T, Huebner J. Comparison of antibiotic and acyclovir usage before and after the implementation of an on-site FilmArray meningitis/encephalitis panel in an academic tertiary pediatric hospital: A retrospective observational study. BMC Pediatr 2020;20:56. Doi: 10.1186/s12887-020-1944-2. · DOI · Paper page
  58. Vaugon E, Mircescu A, Caya C, Yao M, Gore G, Dendukuri N, et al. Diagnostic accuracy of rapid one-step PCR assays for detection of herpes simplex virus-1 and -2 in cerebrospinal fluid: a systematic review and meta-analysis. Clin Microbiol Infect 2022;28:1547-57. Doi: 10.1016/J.CMI.2022.06.004. · DOI
  59. Gomez CA, Pinsky BA, Liu A, Banaei N. Delayed Diagnosis of Tuberculous Meningitis Misdiagnosed as Herpes Simplex Virus-1 (HSV-1) Encephalitis with the FilmArray Syndromic PCR panel. Open Forum Infect Dis 2016;4:ofw245. Doi: 10.1093/ofid/ofw245. · DOI · Paper page
  60. González-Donapetry P, García-Rodríguez J, Cendejas-Bueno E. A case of a FilmArray® ME false negative in meningococcal meningitis. J Infect 2019;79:277-87. Doi: 10.1016/J.JINF.2019.05.002. · DOI
  61. Ekambaram M, Nabower A, Rajbhandari P, Eisenberg J, Goodrich N, Ampofo K, et al. Evaluation of Discordant Results Between FilmArray Meningitis/Encephalitis Panel and Conventional Testing in Pediatric Patients: A Multisite Retrospective Cohort Study. J Pediatr Infect Dis Soc 2022;11:134-41. Doi: 10.1093/jpids/piab126. · DOI
  62. Dantuluri KL, Konvinse KC, Crook J, Thomsen IP, Banerjee R. Human Herpesvirus 6 Detection during the Evaluation of Sepsis in Infants Using the FilmArray Meningitis/Encephalitis Panel. J Pediatr 2020;223:204-206.e1. Doi: 10.1016/j.jpeds.2020.03.023. · DOI
  63. Pandey U, Greninger AL, Levin GR, Jerome KR, Anand VC, Bard JD. Pathogen or bystander: Clinical significance of detecting human herpesvirus 6 in pediatric cerebrospinal fluid. J Clin Microbiol 2020;58:e00313-20. Doi: 10.1128/JCM.00313-20. · DOI · Paper page
  64. Green DA, Pereira M, Miko B, Radmard S, Whittier S, Thakur K. Clinical Significance of Human Herpesvirus 6 Positivity on the FilmArray Meningitis/Encephalitis Panel. Clin Infect Dis 2018;67:1125-8. Doi: 10.1093/cid/ciy288. · DOI · Paper page
  65. Ramalingam R, Krishnan TC, Chakraborty D. Retrospective analysis of multiplex polymerase chain reaction-based molecular diagnostics (SES) in 70 patients with suspected central nervous system infections: A single-center study. Ann Indian Acad Neurol n.d.;19:482-90. Doi: 10.4103/0972-2327.192483. · DOI
  66. Shin SY, Kwon KC, Park JW, Kim JM, Shin SY, Koo SH. Evaluation of the Seeplex® Meningitis ACE Detection Kit for the Detection of 12 Common Bacterial and Viral Pathogens of Acute Meningitis. Ann Lab Med 2012;32:44. Doi: 10.3343/alm.2012.32.1.44. · DOI
  67. Bhagchandani SP, Kubade S, Nikhare PP, Manke S, Chandak NH, Kabra D, et al. Nested PCR Assay for Eight Pathogens: A Rapid Tool for Diagnosis of Bacterial Meningitis. Mol Diagn Ther 2016;20:45-54. Doi: 10.1007/s40291-015-0174-z. · DOI
  68. Khumalo J, Nicol M, Hardie D, Muloiwa R, Mteshana P, Bamford C. Diagnostic accuracy of two multiplex real-time polymerase chain reaction assays for the diagnosis of meningitis in children in a resource-limited setting. PloS One 2017;12:e0173948. Doi: 10.1371/journal.pone.0173948. · DOI
  69. López-Amor L, García-Prieto E, Fernández-Suárez J, Escudero D, Vázquez F, Fernández J. Evaluation of a commercial multiplex PCR for diagnosis of central nervous system (CNS) nosocomial infections. J Microbiol Methods 2020;171:105865. Doi: 10.1016/j.mimet.2020.105865. · DOI
  70. Stubljar D, Kopitar AN, Groselj-Grenc M, Suhadolc K, Fabjan T, Skvarc M. Diagnostic accuracy of presepsin (sCD14-ST) for prediction of bacterial infection in cerebrospinal fluid samples from children with suspected bacterial meningitis or ventriculitis. J Clin Microbiol 2015;53:1239-44. Doi: 10.1128/JCM.03052-14. · DOI
  71. Welinder-Olsson C, Dotevall L, Hogevik H, Jungnelius R, Trollfors B, Wahl M, et al. Comparison of broad-range bacterial PCR and culture of cerebrospinal fluid for diagnosis of community-acquired bacterial meningitis. Clin Microbiol Infect 2007;13:879-86. Doi: 10.1111/j.1469-0691.2007.01756.x. · DOI · Paper page
  72. Rothman R, Ramachandran P, Yang S, Hardick A, Won H, Kecojevic A, et al. Use of Quantitative Broad-based Polymerase Chain Reaction for Detection and Identification of Common Bacterial Pathogens in Cerebrospinal Fluid. Acad Emerg Med 2010;17:741-7. Doi: 10.1111/j.1553-2712.2010.00790.x. J o u r n a l P r e -p r o o f 95 Srinivasan L, Pisapia JM, Shah SS, Halpern CH, Harris MC. Can Broad-Range 16S Ribosomal Ribonucleic Acid Gene Polymerase Chain Reactions Improve the Diagnosis of Bacterial Meningitis? A Systematic Review and Meta-analysis. Ann Emerg Med 2012;60:609-620.e2. Doi: 10.1016/J.ANNEMERGMED.2012.05.040. · DOI
  73. Church DL, Cerutti L, Gürtler A, Griener T, Zelazny A, Emler S. Performance and application of 16S rRNA gene cycle sequencing for routine identification of bacteria in the clinical microbiology laboratory. Clin Microbiol Rev 2020;33(4):1-74. Doi: 10.1128/CMR.00053-19. · DOI
  74. Zanella M-C, Lenggenhager L, Schrenzel J, Cordey S, Kaiser L. High-throughput sequencing for the aetiologic identification of viral encephalitis, meningoencephalitis, and meningitis. A narrative review and clinical appraisal. Clin Microbiol Infect 2019;25:422-30. Doi: 10.1016/j.cmi.2018.12.022. · DOI
  75. Guo L, Li Y, Liu L, Wu H, Zhou J, Zhang Y, et al. Detection of pediatric bacterial meningitis pathogens from cerebrospinal fluid by next-generation sequencing technology. J Infect 2019;78:323-37. Doi: 10.1016/J.JINF.2018.12.001. · DOI
  76. Miller S, Naccache SN, Samayoa E, Messacar K, Arevalo S, Federman S, et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Genome Res 2019;29:831-42. Doi: 10.1101/gr.238170.118. 100 · DOI
  77. Gu W, Deng X, Lee M, Sucu YD, Arevalo S, Stryke D, et al. Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids. Nat Med 2020;27:115-24. Doi: 10.1038/s41591-020-1105-z. 101 · DOI
  78. Moragues-Solanas L, Scotti R, O'Grady J. Rapid metagenomics for diagnosis of bloodstream and respiratory tract nosocomial infections: current status and future prospects. Expert Rev Mol Diagn 2021;21:371-80. Doi: 10.1080/14737159.2021.1906652. · DOI
  79. 1004Viallon A, Desseigne N, Marjollet O, Birynczyk A, Belin M, Guyomarch S, et al. Meningitis in adult patients with a negative direct cerebrospinal fluid examination: value of cytochemical markers for differential diagnosis. Crit Care 2011;15:R136. Doi: 10.1186/cc10254. 105 · DOI
  80. Dubos F, Moulin F, Gajdos V, De Suremain N, Biscardi S, Lebon P, et al. Serum procalcitonin and other biologic markers to distinguish between bacterial and aseptic meningitis. J Pediatr 2006;149:72-6. Doi: 10.1016/j.jpeds.2006.02.034. · DOI
  81. 106Chaudhary S, Keshary BN, Lamsal M, Chaudhari RK, Khanal B. Serum procalcitonin in bacterial & non-bacterial meningitis in children. BMC Pediatr 2018;18:342. Doi: 10.1186/s12887-018-1314-5. · DOI
  82. 107Kuppermann N, Dayan PS, Levine DA, Vitale M, Tzimenatos L, Tunik MG, et al. A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections. JAMA Pediatr 2019;173:342-51. Doi: 10.1001/jamapediatrics.2018.5501. · DOI
  83. 108Peltola H, Pelkonen T, Roine I, Cruzeiro ML, Bernardino L, Latin American Meningitis Study Group. Predicting Outcome of Childhood Bacterial Meningitis With a Single Measurement of C-Reactive Protein. Pediatr Infect Dis J 2016;35:617-21. Doi: 10.1097/INF.0000000000001133. 109 · DOI
  84. Sormunen P, Kallio M J, Kilpi T, Peltola H. C-reactive protein is useful in distinguishing Gram stain-negative bacterial meningitis from viral meningitis in children. J Pediatr 1999;134:725-9.
  85. 110Roine I, Banfi A, Bosch P, Ledermann W, Contreras C, Peltola H. Serum C-reactive protein in childhood meningitis in countries with limited laboratory resources: a Chilean experience. Pediatr Infect Dis J 1991;10:923-8.
  86. Peltola H, Valmari P. Serum C-reactive protein as detector of pretreated childhood bacterial meningitis. Neurology 1985;35:251-3. 112
  87. Peltola HO. C-reactive protein for rapid monitoring of infections of the central nervous system. Lancet Lond Engl 1982;1:980-2. 113
  88. Hansson LO, Axelsson G, Linné T, Aurelius E, Lindquist L. Serum C-reactive protein in the differential diagnosis of acute meningitis. Scand J Infect Dis 1993;25:625-30. 114
  89. Sutinen J, Sombrero L, Paladin F J, Julkunen I, Leinikki P, Hernandez E, et al. Etiology of central nervous system infections in the Philippines and the role of serum C-reactive protein in excluding acute bacterial meningitis. Int J Infect Dis 1999;3:88-93. 115
  90. Tatara R, Imai H. Serum C-reactive protein in the differential diagnosis of childhood meningitis. Pediatr Int Off J Jpn Pediatr Soc 2000;42:541-6. 116
  91. Gerdes L U, Jørgenseny P E, Nexø E, Wang P. C-reactive protein and bacterial meningitis: a meta-analysis. Scand J Clin Lab Invest 1998;58:383-94. Doi: 10.1080/00365519850186364. 117 · DOI
  92. Sampson D, Yager TD, Fox B, Shallcross L, McHugh L, Seldon T, et al. Blood transcriptomic discrimination of bacterial and viral infections in the emergency department: A multi-cohort observational validation study. BMC Med 2020;18:1-12. Doi: 10.1186/S12916-020-01653-3. 118 · DOI
  93. Parcina M, Vasse M, Hannet I, Kirk J. Multi-site validation of EDTA blood as a sample type for SeptiCyte® RAPID CE-IVD, a near-patient diagnostic test for sepsis on the Biocartis Idylla TM System. Assoc Mol Pathol 2022 Annu Meet Abstr J Mol Diagn 2022;24:S1 Abstract G001. 119
  94. Pennisi I, Moniri A, Miscourides N, Miglietta L, Moser N, Habgood-Coote D, et al. Discrimination of bacterial and viral infection using host-RNA signatures integrated in a lab- on-chip platform. Biosens Bioelectron 2022;216:114633. Doi: 10.1016/J.BIOS.2022.114633. 120 · DOI
  95. Habgood-Coote D, Wilson C, Shimizu C, Barendregt AM, Philipsen R, Galassini R, et al. Diagnosis of childhood febrile illness using a multi-class blood RNA molecular signature. Med N Y N 2023;4:635-654.e5. Doi: 10.1016/j.medj.2023.06.007. 121 UK Meningitis study. Available at http://www.braininfectionsuk.org/ukmeningitis/. Accessed February 5, 2023, n.d. 122UK-ChiMES | Studies | ENCEPH UK -Understanding and Improving the Outcome of Encephalitis. Available at http://www.encephuk.org/studies/ukchimes.aspx.html. Accessed February 5, 2023, n.d. 123 · DOI
  96. van de Beek D, de Gans J, Spanjaard L, Weisfelt M, Reitsma JB, Vermeulen M. Clinical features and prognostic factors in adults with bacterial meningitis. N Engl J Med 2004;351:1849-59. Doi: 10.1056/NEJMoa040845. 124 · DOI
  97. Levay PF, Viljoen M. Lactoferrin: A general review. Haematologica 1995;80:252-67. 126
  98. Ihi Toshihiko, Nakazato Masamitsu, Mukae Hiroshi, Matsukura Shigeru. Elevated Concentrations of Human Neutrophil Peptides in Plasma, Blood, and Body Fluids from Patients with Infections. Clin Infect Dis 1997;25:1134-40. Doi: 10.1086/516075. 127 · DOI
  99. Nelson PV, Carey WF, Pollard AC. Diagnostic significance and source of lactate dehydrogenase and its isoenzymes in cerebrospinal fluid of children with a variety of neurological disorders. J Clin Pathol 1975;28:828-33. 128
  100. Maffei FA, Heine RP, Whalen MJ, Mortimer LF, Carcillo JA. Levels of antimicrobial molecules defensin and lactoferrin are elevated in the cerebrospinal fluid of children with meningitis. Pediatrics 1999;103:987-92. 129
  101. Feldman WE. Cerebrospinal fluid lactic acid dehydrogenase activity. Levels in untreated and partially antibiotic-treated meningitis. Am J Dis Child 1960 1975;129:77-80.
  102. Nussinovitch M, Finkelstein Y, Elishkevitz KP, Volovitz B, Harel D, Klinger G, et al. Cerebrospinal fluid lactate dehydrogenase isoenzymes in children with bacterial and aseptic meningitis. Transl Res 2009;154:214-8. Doi: 10.1016/j.trsl.2009.06.011. · DOI
  103. 131Posner JB, Plum F. Independence of Blood and Cerebrospinal Fluid Lactate. Arch Neurol 1967;16:492-6. Doi: 10.1001/archneur.1967.00470230044005. 132 · DOI
  104. Abassi M, Bangdiwala AS, Nuwagira E, Tadeo KK, Okirwoth M, Williams DA, et al. Cerebrospinal Fluid Lactate as a Prognostic Marker of Disease Severity and Mortality in Cryptococcal Meningitis. Clin Infect Dis 2021;73:e3077-82. Doi: 10.1093/cid/ciaa1749. 133 · DOI
  105. Berg B, Gärdsell P, Skånsberg P. Cerebrospinal fluid lactate in the diagnosis of meningitis. Diagnostic value compared to standard biochemical methods. Scand J Infect Dis 1982;14:111- 5. 134
  106. Nelson N, Eeg-Olofsson O, Larsson L, Ohman S. The diagnostic and predictive value of cerebrospinal fluid lactate in children with meningitis. Its relation to current diagnostic methods. Acta Paediatr Scand 1986;75:52-7. 135
  107. Ruuskanen O, Ståhlberg M L, Korvenranta H, Nikoskelainen J, Irjala K. CSF lactate in bacterial meningitis with minimal CSF abnormalities. Acta Paediatr Scand 1985;74:292-3. 136
  108. Gästrin B, Briem H, Rombo L. Rapid diagnosis of meningitis with use of selected clinical data and gas-liquid chromatographic determination of lactate concentration in cerebrospinal fluid. J Infect Dis 1979;139:529-33. 137
  109. Jordan G W, Statland B, Halsted C. CSF lactate in diseases of the CNS. Arch Intern Med 1983;143:85-7. 138
  110. Rutledge J, Benjamin D, Hood L, Smith A. Is the CSF lactate measurement useful in the management of children with suspected bacterial meningitis? J Pediatr 1981;98:20-4. 139
  111. Sakushima K, Hayashino Y, Kawaguchi T, Jackson JL, Fukuhara S. Diagnostic accuracy of cerebrospinal fluid lactate for differentiating bacterial meningitis from aseptic meningitis: A meta-analysis. J Infect 2011;62:255-62. Doi: 10.1016/j.jinf.2011.02.010. 140 · DOI
  112. Huy Nguyen T, Thao Nguyen TH, Diep Doan TN, Kikuchi M, Zamora J, Hirayama K. Cerebrospinal fluid lactate concentration to distinguish bacterial from aseptic meningitis: a systemic review and meta-analysis. Crit Care 2010;14:R240. Doi: 10.1186/cc9395. 141 · DOI
  113. Determann RM, Weisfelt M, de Gans J, van der Ende A, Schultz M, van de Beek D. Soluble triggering receptor expressed on myeloid cells 1: a biomarker for bacterial meningitis. Intensive Care Med 2006;32:1243-7. Doi: 10.1007/s00134-006-0240-4. · DOI
  114. 142Bishara J, Hadari N, Shalita-Chesner M, Samra Z, Ofir O, Paul M, et al. Soluble triggering receptor expressed on myeloid cells-1 for distinguishing bacterial from aseptic meningitis in adults. Eur J Clin Microbiol Infect Dis 2007;26:647-50. Doi: 10.1007/s10096-007-0343-z. 143 · DOI
  115. Jereb M, Muzlovic I, Hojker S, Strle F. Predictive value of serum and cerebrospinal fluid procalcitonin levels for the diagnosis of bacterial meningitis. Infection 2001;29:209-12. Doi: 10.1007/s15010-001-1165-z. 144 · DOI
  116. Shen HYY, Gao W, Cheng JJJ, Zhao SDD, Sun Y, Han ZJJ, et al. Direct comparison of the diagnostic accuracy between blood and cerebrospinal fluid procalcitonin levels in patients with meningitis. Clin Biochem 2015;48:1079-82. Doi: 10.1016/j.clinbiochem.2015.06.017. 145 · DOI
  117. Wei TT, Hu ZD, Qin BD, Ma N, Tang QQ, Wang LL, et al. Diagnostic Accuracy of Procalcitonin in Bacterial Meningitis Versus Nonbacterial Meningitis. Medicine (Baltimore) 2016;95:e3079. Doi: 10.1097/MD.0000000000003079. 146 · DOI
  118. Li W, Sun X, Yuan F, Gao Q, Ma Y, Jiang Y, et al. Diagnostic Accuracy of Cerebrospinal Fluid Procalcitonin in Bacterial Meningitis Patients with Empiric Antibiotic Pretreatment. J Clin Microbiol 2017;55:1193-204. Doi: 10.1128/JCM.02018-16. 147 · DOI
  119. Reshi Z, Nazir M, Wani W, Malik M, Iqbal J, Wajid S. Cerebrospinal fluid procalcitonin as a biomarker of bacterial meningitis in neonates. J Perinatol 2017;37:927-31. Doi: 10.1038/jp.2017. · DOI
  120. J o u r n a l P r e -p r o o f 148 Alons IME, Verheul RJ, Kuipers I, Jellema K, Wermer M J H, Algra A, et al. Procalcitonin in cerebrospinal fluid in meningitis: a prospective diagnostic study. Brain Behav 2016;6:e00545. Doi: 10.1002/brb3.545. 149 · DOI
  121. Sanaei DA, Alizadeh S, Karimi A, Khalifeh M, Shoja Seyed A. Diagnostic value of lactate, procalcitonin, ferritin, serum-C-reactive protein, and other biomarkers in bacterial and viral meningitis: A cross-sectional study. Medicine (Baltimore) 2017;96:e7637. Doi: 10.1097/MD.0000000000007637. 150 · DOI
  122. Srinivasan L, Kilpatrick L, Shah SS, Abbasi S, Harris MC. Cerebrospinal fluid cytokines in the diagnosis of bacterial meningitis in infants. Pediatr Res 2016;80:566-72. Doi: 10.1038/pr.2016.117. 151 · DOI
  123. Takahashi W, Nakada T, Abe R, Tanaka K, Matsumura Y, Oda S. Usefulness of interleukin 6 levels in the cerebrospinal fluid for the diagnosis of bacterial meningitis. J Crit Care 2014;29:693.e1-693.e6. Doi: 10.1016/j.jcrc.2014.02.020. 152 · DOI
  124. Vázquez JA, Adducci MC, Coll C, Monzón DG, Iserson KV. Acute Meningitis Prognosis Using Cerebrospinal Fluid Interleukin-6 Levels. J Emerg Med 2012;43:322-7. Doi: 10.1016/j.jemermed.2011.07.029. · DOI
  125. 153Ye Q, Shao WX, Shang SQ, Shen HQ, Chen XJ, Tang YM, et al. Clinical Value of Assessing Cytokine Levels for the Differential Diagnosis of Bacterial Meningitis in a Pediatric Population. Medicine (Baltimore) 2016;95:e3222. Doi: 10.1097/MD.0000000000003222. 154 · DOI
  126. Pietikäinen A, Maksimow M, Kauko T, Hurme S, Salmi M, Hytönen J. Cerebrospinal fluid cytokines in Lyme neuroborreliosis. J Neuroinflammation 2016;13:1-10. Doi: 10.1186/S12974- 016-0745-X. 155 · DOI
  127. Barstad B, Henningsson AJ, Tveitnes D, Ushakova A, Noraas S, Ask IS, et al. Cerebrospinal fluid cytokines and chemokines in children with Lyme neuroborreliosis; pattern and diagnostic utility. Cytokine 2020;130:155023. Doi: 10.1016/J.CYTO.2020.155023. 156 · DOI
  128. Eckman EA, Clausen DM, Herdt AR, Pacheco-Quinto J, Halperin JJ. Specificity and Diagnostic Utility of Cerebrospinal Fluid CXCL13 in Lyme Neuroborreliosis. Clin Infect Dis 2021;72:1719-26. Doi: 10.1093/CID/CIAA335. 157 · DOI
  129. Narayan K, Dail D, Li L, Cadavid D, Amrute S, Fitzgerald-Bocarsly P, et al. The nervous system as ectopic germinal center: CXCL13 and IgG in lyme neuroborreliosis. Ann Neurol 2005;57:813-23. Doi: 10.1002/ANA.20486. 158 · DOI
  130. Hytönen J, Kortela E, Waris M, Puustinen J, Salo J, Oksi J. CXCL13 and neopterin concentrations in cerebrospinal fluid of patients with Lyme neuroborreliosis and other diseases that cause neuroinflammation. J Neuroinflammation 2014;11:1-11. Doi: 10.1186/1742-2094- 11-103. 159 · DOI
  131. Pöyhönen H, Lähdesmäki T, Hytönen J Peltola V. Cerebrospinal Fluid Pleocytosis and Elevated C-X-C Motif Chemokine Ligand 13 Value Predict Lyme Borreliosis in Children With Facial Palsy. Pediatr Infect Dis J 2019;38:1195-8. Doi: 10.1097/INF.0000000000002475. 160 · DOI
  132. Rupprecht TA, Manz KM, Fingerle V, Lechner C, Klein M, Pfirrmann M, et al. Diagnostic value of cerebrospinal fluid CXCL13 for acute Lyme neuroborreliosis. A systematic review and meta-analysis. Clin Microbiol Infect 2018;24:1234-40. Doi: 10.1016/J.CMI.2018.04.007. 161 · DOI
  133. Yu Q, Cheng Y, Wang Y, Wang C, Lu H, Guan Z, et al. Aberrant Humoral Immune Responses in Neurosyphilis: CXCL13/CXCR5 Play a Pivotal Role for B-Cell Recruitment to the Cerebrospinal Fluid. J Infect Dis 2017;216:534-44. Doi: 10.1093/INFDIS/JIX233. 162 · DOI
  134. Hou Y, Zhang X, Hou X, Wu R, Wang Y, He X, et al. Rapid pathogen identification using a novel microarray-based assay with purulent meningitis in cerebrospinal fluid. Sci Rep 2018;8:15965. Doi: 10.1038/s41598-018-34051-0. 163 · DOI

Cited by

Sorted by citations

Authors
Ivaska, L., Herberg, J., & Sadarangani, M.
Affiliations
  • University of Turku (FI)
  • Imperial College London (GB)
  • University of British Columbia (CA)
Corresponding author
  • Ivaska, Lauri
  • Herberg, Jethro
  • Sadarangani, Manish
Venue
Journal of Infection
Publisher
Elsevier BV
Published
2024-03
Volume
88
Issue
3
Pages
106111
ISSN
0163-4453 (ISSN-L)
OpenAlex
W4391426101
Cited by
28
References
23
Citations by year
2026: 17 · 2025: 7 · 2024: 4
FWCI
1.44
Type
journal article
Language
en
Open access
Locations
  • Journal of Infection (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • UTUPub (University of Turku) (submittedVersion)
Funders
  • Turun Yliopistollinen Keskussairaala
  • Children's Hospital Foundation
  • BC Children’s Hospital Foundation
  • Lastentautien Tutkimussäätiö
  • Turun Yliopisto
  • Michael Smith Health Research BC
Topics
  • Life Sciences › Immunology and Microbiology › Microbiology › Bacterial Infections and Vaccines
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
  • Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
Keywords
bacterial meningitis, viral meningitis, differential diagnosis, community-acquired meningitis, procalcitonin, C-reactive protein, host response biomarkers, nucleic acid amplification tests, proteomic signatures, gene expression signatures, antibiotic stewardship, antimicrobial resistance
MeSH terms
Anti-Bacterial Agents, Diagnosis, Differential, Humans, Meningitis, Viral, Biomarkers, Meningitis, Bacterial, Proteomics

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