Published online Jan 9, 2023. doi: 10.5492/wjccm.v12.i1.1
Peer-review started: November 7, 2022
First decision: November 25, 2022
Revised: November 30, 2022
Accepted: December 23, 2022
Article in press: December 23, 2022
Published online: January 9, 2023
Processing time: 56 Days and 18.5 Hours
Meningitis is a life-threatening clinical condition associated with high mortality and morbidity. Early diagnosis and specific treatment may improve outcomes. Lack of specific clinical signs or tests make the diagnosis challenging.
To assess the efficacy of cerebrospinal fluid (CSF) lactate in diagnosing meningitis in critically ill patients.
A prospective, observational cohort study was carried out in a neuro-medical intensive care unit (ICU) over a 22 mo period. Adult patients, with suspected meningitis admitted in ICU, were serially recruited. Patients who refused consent, those with peripheral sensorineural deficit, or with any contraindication to lumber puncture were excluded. CSF cytology, bio-chemistry, lactates, culture and polymerase chain reaction based meningo-encephalitis panel were evaluated. Patients were divided in two groups based on clinical diagnosis of meningitis. The efficacy of CSF lactate in diagnosing meningitis was evaluated and compared with other tests.
Seventy-one patients were included and 23 were diagnosed with meningitis. The mean values of CSF total leucocyte count (TLC), proteins and lactates were sign
CSF lactate may be used to aid in our diagnosis of meningitis in ICU patients. CSF lactate (> 2.72 mmol/L) showed good accuracy, sensitivity, and specificity in diagnosing meningitis and may also help to differentiate between bacterial and non-bacterial meningitis.
Core Tip: We conducted a prospective, observational cohort study to assess the efficacy of cerebrospinal fluid (CSF) lactate in diagnosing meningitis in critically ill patients. 71 patients were included and 23 were diagnosed with meningitis. There was a significant correlation of CSF lactate levels with CSF cultures and meningo-encephalitis panel. CSF lactate (> 2.72 mmol/L) showed good accuracy in diagnosing meningitis with an area under the curve (AUC) of 0.81, sensitivity 82.6%, and specificity 72.9%. These values were comparable to those of CSF total leucocyte count (TLC) and protein. Twelve patients with bacterial meningitis had significantly higher CSF lactate (8.9 ± 4.7 mmol/L) than those with non-bacterial meningitis (4.2 ± 3.8 mmol/L), P = 0.006. To conclude, CSF lactate may be used to aid in our diagnosis of meningitis in critically ill patients.
- Citation: Yadav D, Singh O, Juneja D, Goel A, Kataria S, Beniwal A. Role of cerebrospinal fluid lactate in diagnosing meningitis in critically ill patients. World J Crit Care Med 2023; 12(1): 1-9
- URL: https://www.wjgnet.com/2220-3141/full/v12/i1/1.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v12.i1.1
Meningitis is a life-threatening condition associated with high mortality and morbidity and may affect any patient's age group[1]. Patients with meningitis may present with headache, photophobia, and neck stiffness and may develop confusion and coma in the later stages[2]. Older patients are more prone to have altered mental status and focal neurologic deficits rather than neck stiffness and headache[3,4]. However, these are non-specific; hence, a high index of suspicion is required to make the correct diagnosis. As early diagnosis and specific treatment may improve outcomes, every attempt must be made to make an early etiological diagnosis to institute specific therapy[5].
The most common form of meningitis is aseptic meningitis. These cases are primarily viral, and enterovirus is the most common etiological organism reported in immune-competent individuals[6,7]. Aseptic and bacterial meningitis are similar in clinical presentation, but patients with bacterial men
CSF Gram and acid-fast bacilli stains are quick methods of detecting the organism, but they lack sensitivity (50% to 80%). CSF cultures, which are positive in, at best, 80% of cases of bacterial meningitis, have a long turn-around time of 48 h and may be falsely negative in patients already on antibiotics. The sensitivity of CSF Gram stain and cultures is less than 50% in such patients[9]. A real-time polymerase chain reaction (rt-PCR) based meningoencephalitis panel is useful for the etiological diagnosis of meningitis. Even though it has good sensitivity and specificity, its application is restricted due to its limited availability and high cost. Hence, there is a need for a readily available test that is easy to apply and can diagnose meningitis and differentiate between bacterial and non-bacterial causes of meningitis.
Blood lactate is tested in almost all critically ill patients in intensive care units (ICUs) and has been used to guide treatment and predict prognosis. In contrast, CSF lactate is rarely tested. Normal CSF lactate levels are 1.2-2.1 mmol/L, but they may range from 0.6-3.1 mmol/L[10]. Anaerobic glycolysis of brain tissue due to decreased cerebral blood flow and oxygen uptake may increase lactate concentration in CSF patients with meningitis[11]. Hence, CSF lactate has been suggested as an excellent marker to diagnose meningitis and may be a better marker than CSF TLC, sugar, and proteins[12,13]. In addition, it is inexpensive, has high test-retest reliability and is also readily available even in the resource-poor world, where neurological imaging may be difficult to obtain. However, most of the studies have been done on post-neurosurgical and brain trauma patients, and there is a dearth of data regarding its accuracy in critically ill medical patients with suspected meningitis.
A prospective, observational cohort study was carried out in a neuro-medical ICU of a tertiary care hos
Statistical analysis was performed by the SPSS program for Windows, version 17.0 (SPSS, Chicago, IL, United States). Normally distributed continuous variables were compared using the unpaired t test, whereas the Mann-Whitney U test was used for those variables that were not normally distributed. Categorical variables were analyzed using either the chi square test or Fisher’s exact test, as appropriate. Area under receiver operating characteristics (AUROC) analysis was calculated to determine optimal cut-off values for CSF TLC, protein and sugar and lactate levels. For all statistical tests, a p value less than 0.05 was taken to indicate a significant difference.
Seventy-one patients, who fulfilled the inclusion criteria were included in the final analysis and divided in two groups, meningitis and non-meningitis groups, based on the clinical diagnosis of meningitis. Their basic characteristics, clinical parameters and hospital course are given in the Table 1.
Patient parameters | Overall (n = 71), % | Meningitis group (n = 23) , % | Non-Meningitis Group (n = 48), % | P value |
Age, yr | 58.1 ± 16 | 57.8 ± 15.4 | 58.9 ± 17.3 | 0.820 |
Males | 23 (32.4) | 10 (43.5) | 13 (27.1) | 0.167 |
Clinical parameters | ||||
Headache | 25 (35.2) | 11 (47.8) | 14 (29.2) | 0.123 |
Seizures | 46 (64.8) | 17 (73.9) | 29 (60.4) | 0.265 |
Fever | 50 (70.4) | 16 (69.6) | 34 (70.8) | 0.871 |
Altered sensorium | 70 (98.6) | 23 (100) | 47 (97.9) | 0.486 |
Photophobia | 5 (7) | 3 (13) | 2 (4) | 0.171 |
Coma | 24 (33.8) | 9 (39.1) | 15 (31.3) | 0.511 |
Antibiotic exposure before CSF analysis | 65 (91.5) | 22 (95.7) | 43 (89.6) | 0.39 |
Traumatic brain injury | 2 (3) | 0 (0) | 2 (4) | 0.321 |
Neurosurgical intervention | 4 (5.6) | 3 (13) | 1 (2) | 0.061 |
Neurosurgical device in-situ | 4 (5.6) | 3 (13) | 1 (2) | 0.061 |
Glasgow coma scale | 9.5 ± 4 | 9 ± 4 | 9.7 ± 4 | 0.508 |
Neck stiffness | 4 (5.6) | 4 (17.4) | 0 (0) | 0.003a |
Focal neurological deficit | 14 (19.7) | 5 (21.7) | 9 (18.8) | 0.767 |
Length of stay in hospital | 21.1 ± 16 | 21.9 ± 8.9 | 21 ± 18.2 | 0.053 |
Length of stay in ICU | 10.4 + 8.9 | 12.1 ± 6.3 | 9.6 ± 9.8 | 0.005a |
Need for any surgical intervention | 20 (28.2) | 10 (43.5) | 10 (20.8) | 0.047a |
Need for invasive mechanical ventilation | 27 (38) | 13 (56.5) | 14 (29.2) | 0.026a |
ICU mortality | 20 (28.2) | 10 (43.5) | 10 (20.8) | 0.047a |
The mean values of CSF TLC, proteins and lactates were significantly higher in meningitis group whereas mean value sugar levels were significantly higher in non-meningitis groups (Table 2). There was a significant correlation of CSF lactate levels with CSF cultures; meningo-encephalitis PCR based panel, and a combination of both (CSF cultures and meningo-encephalitis panel) with P value < 0.05.
CSF parameters | Meningitis group (n = 23) | Non-meningitis group (n = 48) | P value |
TLC (mean ± SD) | 1223.4 ± 2611 | 8.1 ± 12.6 | < 0.001a |
Protein (mean ± SD) | 177.1 ± 204.2 | 69.3 ± 61.5 | 0.002a |
Sugar mg/dL (mean ± SD) | 90.1 ± 98.4 | 102.1 ± 41 | 0.011a |
Lactate levels mg/dL (mean ± SD) | 60 ± 43.9 | 23.6 ± 11.1 | < 0.001a |
Lactate levels mmol/L (mean ± SD) | 6.6 ± 4.8 | 2.6 ± 1.2 | < 0.001a |
Positive CSF cultures | 17 (74) | 0 (0) | < 0.001a |
Positive meningo-encephalitis panel | 7 (30) | 0 (0) | 0.001a |
Positive CSF cultures or meningo-encephalitis panel | 23 (100) | 0 (0) | < 0.001a |
As shown in Table 3, CSF lactate cut-off point for the diagnosis of meningitis, obtained by analyzing the ROC curve, was > 2.7 mmol/L with AUC of 0.81 (95% confidence interval: 0.69-0.93). Sensitivity was 82.6%, specificity 72.9%, positive predictive value 59.4%, negative predictive value 89.7% and accuracy 76.1%.
CSF Parameters | Cut-off | Sensitivity, % | Specificity, % | NPV, % | PPV, % | Accuracy, % | AUC | CI | P value |
TLC (Cell/mm3) | > 55 | 73.9 | 100 | 100 | 88.9 | 91.5 | 0.92 | 0.84-1 | < 0.001a |
Lactate levels (mmol/L) | > 2.7 | 82.6 | 72.9 | 59.4 | 89.7 | 76.1 | 0.81 | 0.7-0.9 | < 0.001a |
Protein (mg/dL) | > 104.4 | 56.5 | 87.5 | 68.4 | 80.8 | 77.5 | 0.73 | 0.6-0.9 | 0.002a |
Sugar (mg/dL) | > 63 | 56.5 | 83.3 | 61.9 | 80.0 | 74.6 | 0.7 | 0.6-0.9 | 0.006a |
Causes of meningitis and the final diagnosis of patients in the non-meningitis group is given in Table 4. Out of 23 patients of meningitis patients, 12 patients had bacterial meningitis and 11 patients had non-bacterial meningitis. CSF lactate levels were significantly higher in bacterial meningitis (8.9 ± 4.7) than non-bacterial meningitis (4.2 ± 3.8), P = 0.006.
Meningitis group (n = 23), % | ||
Bacterial (n = 12) | Streptococcus pyogenes | 5 (41.7) |
Staphylococcus aureus | 2 (16.7) | |
Haemophilus influenzae | 2 (16.7) | |
Enterococcus faecium | 2 (16.7) | |
Escherichia coli | 1 (8.4) | |
Viral (n = 6) | Varicella zoster virus | 3 (27.3) |
Herpes simplex virus | 2 (18.2) | |
Measles virus | 1 (9.1) | |
Fungal (n = 2) | Candida tropicalis | 1 (9.1) |
Cryptococcus neoformans | 1 (9.1) | |
Tubercular (n = 3) | Mycobacterium tuberculosis complex | 3 (27.3) |
Non-meningitis group (n = 48) | ||
Septic and metabolic encephalopathy | 34 (70.8) | |
Hypoxic brain injury | 3 (6.3) | |
Guillain barre syndrome | 2 (4.2) | |
Autoimmune encephalitis | 2 (4.2) | |
Metastatic brain involvement | 2 (4.2) | |
Post-ictal confusion | 2 (2.1) | |
Hypoglycaemic coma | 1 (2.1) | |
Demyelinating disorder | 1 (2.1) | |
Unknown | 1 (2.1) |
Even though central nervous system (CNS) infections account for only 2.9% of infections in ICU, they are associated with high morbidity and mortality, ranging from 17%-40%[14,15]. These patients' outcomes depend on the etiological organism and the kind of care provided[15]. Hence, making an early diagnosis and initiating specific treatment measures is imperative. In the present prospective cohort study, we found that CSF lactate had good accuracy, sensitivity and specificity in diagnosing meningitis and showed a good correlation with CSF cultures and RT-PCR-based panels. In addition, it may also aid in differentiating between bacterial and non-bacterial causes of infective meningitis.
In critically ill patients, there could be several differential diagnoses that may mimic meningitis symptoms. These include acute stroke, tumours, toxins, autoimmune and paraneoplastic diseases and cerebral or epidural abscesses. In addition, several metabolic derangements like sepsis and electrolyte disturbances may also present similarly. In the present study, these factors were the most common causes of neurological derangement in the non-meningitis group. The typically described triad of headache, fever and neck rigidity is present in less than 50% of patients with meningitis; hence a high degree of suspicion is required[3].
CSF analysis remains the cornerstone for diagnosing meningitis and making the etiological diagnosis. The etiological organism causing meningitis depends on several patient conditions, including age, immunocompromised status, sinusitis or endocarditis, and any traumatic brain injury, neurosurgery or indwelling neurological devices or catheters. Streptococcus pneumoniae has been reported to be the commonest cause of bacterial meningitis, similar to the results of our study. Haemophilus influenza and Staphylococcus aureus are rare causes of meningitis in adult patients and are generally secondary to other underlying clinical conditions like sinusitis and endocarditis[16]. The reported incidence of Mycobacterium tuberculosis as a cause of acute meningitis is around 5%, but it may be higher in countries with a higher prevalence of tuberculosis[17]. Among the viral causes, the Varicella-zoster virus is most commonly implicated in immunocompromised patients and the Herpes simplex virus in immunocompetent adults[17].
Presently, there is a need for a definitive test to enable rapid and accurate diagnosis, and hence the search for an ideal test continues. Apart from the routinely employed tests, several other CSF markers have been tested for their efficacy in diagnosing meningitis. Tests like CSF adenosine deaminase and cortisol have explicitly been evaluated for the diagnosis of tubercular meningitis, and specific other markers like CSF TNF-alpha, IL-6, IL-8 and IL-17 Levels have been tested for the diagnosis of nosocomial meningitis, with varied success[18-20].
CSF culture is still the gold standard for diagnosing bacterial meningitis, with a reported sensitivity of up to 80%. However, its efficacy in diagnosing other causes of infective meningitis is limited[21,22]. Its clinical application is also limited by a long turn-around of 48 h, thus delaying the initiation of appropriate early treatment. Moreover, its efficacy is further hampered in patients who have already received antibiotics.
Newer tests like RT-PCR-based meningitis-encephalitis panel (FilmArray PCR), a qualitative multiplex nucleic acid-based in-vitro diagnostic test, have been developed and are being increasingly used to diagnose meningitis[23]. This test has several advantages, including rapid turn-around time, good sensitivity and specificity (above 90%) and minimal effect of previous antibiotic exposure[24]. In addition, this test may help diagnose non-bacterial causes of meningitis, including viral and fungal meningitis and culture-negative cases[23]. This panel is capable of simultaneous identification of 14 different organisms, including multiple bacterial (Escherichia Coli, H. Influenzae, L. Monocytogenes, N. meningitides, Strepto. agalactiae, Strepto. pneumoniae), viral (Cytomegalovirus, Enterovirus, HSV 1; HSV 2; HHV 6, VZV) and fungal/yeast (Cryptococcus neoformans/gatti) nucleic acid directly from CSF specimen and may help diagnose complex cases too[25].
CSF lactate is now recognized as a valuable marker for diagnosing acute meningitis. It has shown to be a helpful marker in diagnosing nosocomial meningitis and has shown up to 100% sensitivity for diagnosing bacterial meningitis[19]. As it is a rapid, inexpensive and readily available tool, it may guide physicians in making an early diagnosis of acute meningitis and differentiating bacterial from other causes of meningitis. Nevertheless, it cannot be used as a standalone test but may be helpful to our routine CSF analysis. The value of CSF lactates does not depend on the serum lactate levels as ionized lactate crosses the blood-brain barrier very slowly, eliminating the need for simultaneous measurement of blood lactate levels[11]. CSF lactates have also been used for prognostication, with rapidly falling levels shown to be associated with positive outcomes[26]. It is generally advised to obtain CSF for lactate measurement before administering antibiotics, as antibiotic exposure may reduce its sensitivity[27]. However, in our patient cohort, more than 90% of patients had already received antibiotics still the sensitivity and specificity of CSF lactate remained good.
The cut-off for CSF lactate still needs to be clarified, with different authors using different cut-offs ranging from 2-3 mmol/L[28,29]. Our study observed that CSF lactates had the best accuracy at the cut-off of 2.7 mmol/L, within the generally accepted range. Moreover, it is agreed that the higher the CSF lactates, the higher the chances of it being caused by bacterial meningitis. A meta-analysis by Huy et al[26] reported that a CSF lactate of ≥ 3.5 mmol/L was associated with a high sensitivity ranging from 96%-99% and specificity ranging from 88-94% in diagnosing bacterial meningitis. In our study, CSF lactate levels were also significantly higher in bacterial (8.85 ± 4.66 mmol/L) vs non-bacterial causes of meningitis (4.15 ± 3.84 mmol/L).
There are several strengths to our study. It was a nicely designed prospective study, and we included all the available measures, including CSF cultures and PCR-based panels, to reach a diagnosis. Moreover, our study had primarily medically ill patients and was the first to show the correlation of CSF lactates with modern diagnostic techniques like PCR-based panels. The limitation of our study was that it was a monocentric study with a relatively small number of patients. Hence, it is imperative to conduct a larger multi-centre trial to improve the generalizability of our results.
CSF lactate may be used as an add-on marker to aid our clinical diagnosis of meningitis in critically ill patients. CSF lactate cut-off value above 2.72 mmol/L showed good accuracy, sensitivity, and specificity in diagnosing meningitis. High CSF lactates also help us to differentiate between bacterial and non-bacterial causes of meningitis and show a good correlation with CSF cultures and PCR-based meningoencephalitis panel for the diagnosis of meningitis.
Meningitis is a life-threatening clinical condition associated with high mortality and morbidity. Early diagnosis and specific treatment may improve outcomes. Lack of specific clinical signs or tests make the diagnosis challenging, especially in critically ill patients.
Cerebrospinal fluid (CSF) lactate has been used to diagnose meningitis in post-operative neurosurgical patients. However, there is a dearth of data from neuro-medical patients regarding its role in diagnosing meningitis.
To assess the efficacy of CSF lactate in diagnosing meningitis in critically ill patients.
A prospective, observational cohort study was carried out in a neuro-medical intensive care unit (ICU). CSF cytology, bio-chemistry, lactates, culture and polymerase chain reaction based meningo-encephalitis panel were evaluated. Patients were divided in two groups based on clinical diagnosis of meningitis. The efficacy of CSF lactate in diagnosing meningitis was evaluated and compared with other tests.
Seventy-one patients were included and 23 were diagnosed with meningitis. The mean values of CSF total leucocyte count, proteins and lactates were significantly higher in meningitis group. There was a significant correlation of CSF lactate levels with CSF cultures and meningo-encephalitis panel. CSF lactate (> 2.72 mmol/L) showed good accuracy in diagnosing meningitis with an area under the curve of 0.81 (95% confidence interval: 0.69-0.93), sensitivity 82.6%, and specificity 72.9%. Patients with bacterial meningitis had significantly higher CSF lactate (8.9 ± 4.7 mmol/L) than those with non-bacterial meningitis (4.2 ± 3.8 mmol/L), P = 0.006.
CSF lactate may be used to aid in our diagnosis of meningitis in ICU patients. CSF lactate (> 2.72 mmol/L) showed good accuracy, sensitivity, and specificity in diagnosing meningitis and may also help to differentiate between bacterial and non-bacterial meningitis.
Larger trials may assess the utility of CSF lactate in differentiating various infective meningitis like those secondary to bacterial, fungal, viral and tubercular bacilli.
Provenance and peer review: Invited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Critical care medicine
Country/Territory of origin: India
Peer-review report’s scientific quality classification
Grade A (Excellent): 0
Grade B (Very good): 0
Grade C (Good): C
Grade D (Fair): D, D
Grade E (Poor): 0
P-Reviewer: Jha P, United States; Lai Z, China S-Editor: Liu JH L-Editor: A P-Editor: Liu JH
1. | Roos KL. Bacterial Meningitis. Curr Treat Options Neurol. 1999;1:147-156. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
2. | Tavares WM, Machado AG, Matushita H, Plese JP. CSF markers for diagnosis of bacterial meningitis in neurosurgical postoperative patients. Arq Neuropsiquiatr. 2006;64:592-595. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 27] [Cited by in F6Publishing: 30] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
3. | 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;351:1849-1859. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1049] [Cited by in F6Publishing: 912] [Article Influence: 45.6] [Reference Citation Analysis (0)] |
4. | Weisfelt M, van de Beek D, Spanjaard L, Reitsma JB, de Gans J. Community-acquired bacterial meningitis in older people. J Am Geriatr Soc. 2006;54:1500-1507. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 70] [Article Influence: 3.9] [Reference Citation Analysis (1)] |
5. | Wang AY, Machicado JD, Khoury NT, Wootton SH, Salazar L, Hasbun R. Community-acquired meningitis in older adults: clinical features, etiology, and prognostic factors. J Am Geriatr Soc. 2014;62:2064-2070. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 31] [Cited by in F6Publishing: 24] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
6. | Kupila L, Vuorinen T, Vainionpää R, Hukkanen V, Marttila RJ, Kotilainen P. Etiology of aseptic meningitis and encephalitis in an adult population. Neurology. 2006;66:75-80. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 255] [Cited by in F6Publishing: 246] [Article Influence: 13.7] [Reference Citation Analysis (0)] |
7. | Lee BE, Davies HD. Aseptic meningitis. Curr Opin Infect Dis. 2007;20:272-277. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 132] [Cited by in F6Publishing: 111] [Article Influence: 6.5] [Reference Citation Analysis (0)] |
8. | Mount HR, Boyle SD. Aseptic and Bacterial Meningitis: Evaluation, Treatment, and Prevention. Am Fam Physician. 2017;96:314-322. [PubMed] [Cited in This Article: ] |
9. | Carbonnelle E. [Laboratory diagnosis of bacterial meningitis: usefulness of various tests for the determination of the etiological agent]. Med Mal Infect. 2009;39:581-605. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 1.1] [Reference Citation Analysis (0)] |
10. | Holbrook I, Beetham R, Cruickshank A, Egner W, Fahie-Wilson M, Keir G, Patel D, Watson I, White P. National audit of cerebrospinal fluid testing. Ann Clin Biochem. 2007;44:443-448. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 1.6] [Reference Citation Analysis (0)] |
11. | Baheerathan A, Pitceathly RD, Curtis C, Davies NW. CSF lactate. Pract Neurol. 2020;20:320-323. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis (0)] |
12. | Leib SL, Kim YS, Black SM, Tureen JH, Täuber MG. Inducible nitric oxide synthase and the effect of aminoguanidine in experimental neonatal meningitis. J Infect Dis. 1998;177:692-700. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 83] [Cited by in F6Publishing: 89] [Article Influence: 3.4] [Reference Citation Analysis (0)] |
13. | Viallon A, Desseigne N, Marjollet O, Birynczyk A, Belin M, Guyomarch S, Borg J, Pozetto B, Bertrand JC, Zeni F. Meningitis in adult patients with a negative direct cerebrospinal fluid examination: value of cytochemical markers for differential diagnosis. Crit Care. 2011;15:R136. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 86] [Cited by in F6Publishing: 79] [Article Influence: 6.1] [Reference Citation Analysis (0)] |
14. | Vincent JL, Rello J, Marshall J, Silva E, Anzueto A, Martin CD, Moreno R, Lipman J, Gomersall C, Sakr Y, Reinhart K; EPIC II Group of Investigators. International study of the prevalence and outcomes of infection in intensive care units. JAMA. 2009;302:2323-2329. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2205] [Cited by in F6Publishing: 2270] [Article Influence: 151.3] [Reference Citation Analysis (0)] |
15. | GBD 2016 Meningitis Collaborators. Global, regional, and national burden of meningitis, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018;17:1061-1082. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 198] [Cited by in F6Publishing: 210] [Article Influence: 35.0] [Reference Citation Analysis (0)] |
16. | van de Beek D, Cabellos C, Dzupova O, Esposito S, Klein M, Kloek AT, Leib SL, Mourvillier B, Ostergaard C, Pagliano P, Pfister HW, Read RC, Sipahi OR, Brouwer MC; ESCMID Study Group for Infections of the Brain (ESGIB). ESCMID guideline: diagnosis and treatment of acute bacterial meningitis. Clin Microbiol Infect. 2016;22 Suppl 3:S37-S62. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 350] [Cited by in F6Publishing: 455] [Article Influence: 56.9] [Reference Citation Analysis (0)] |
17. | Granerod J, Ambrose HE, Davies NW, Clewley JP, Walsh AL, Morgan D, Cunningham R, Zuckerman M, Mutton KJ, Solomon T, Ward KN, Lunn MP, Irani SR, Vincent A, Brown DW, Crowcroft NS; UK Health Protection Agency (HPA) Aetiology of Encephalitis Study Group. Causes of encephalitis and differences in their clinical presentations in England: a multicentre, population-based prospective study. Lancet Infect Dis. 2010;10:835-844. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 853] [Cited by in F6Publishing: 831] [Article Influence: 59.4] [Reference Citation Analysis (0)] |
18. | Mahale RR, Mehta A, Uchil S. Estimation of cerebrospinal fluid cortisol level in tuberculous meningitis. J Neurosci Rural Pract. 2015;6:541-544. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis (0)] |
19. | Singh L, Javali M, Mehta A, Pradeep R, Srinivasa R, Acharya PT. Study of cerebrospinal fluid levels of lactate, lactate dehydrogenase and adenosine deaminase in the diagnosis and outcome of acute meningitis. Neurol Res. 2022;44:463-467. [PubMed] [DOI] [Cited in This Article: ] [Reference Citation Analysis (0)] |
20. | Goktas SY, Oral AY, Yılmaz E, Akalın EH, Guvenc F, Ozkaya G, Kocaeli H, Dogan S, Yılmazlar S, Oral HB. Diagnostic value of the CSF levels of D-Lactate and pro-inflammatory cytokines (TNF-alpha, IL-6, IL-8 and IL-17) in the patients with suspected nosocomial meningitis. Singapore Med J. 2021;. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Reference Citation Analysis (0)] |
21. | Bryan JP, de Silva HR, Tavares A, Rocha H, Scheld WM. Etiology and mortality of bacterial meningitis in northeastern Brazil. Rev Infect Dis. 1990;12:128-135. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 65] [Cited by in F6Publishing: 68] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
22. | van de Beek D, de Gans J, Tunkel AR, Wijdicks EF. Community-acquired bacterial meningitis in adults. N Engl J Med. 2006;354:44-53. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 587] [Cited by in F6Publishing: 479] [Article Influence: 26.6] [Reference Citation Analysis (0)] |
23. | Sacchi CT, Fukasawa LO, Gonçalves MG, Salgado MM, Shutt KA, Carvalhanas TR, Ribeiro AF, Kemp B, Gorla MC, Albernaz RK, Marques EG, Cruciano A, Waldman EA, Brandileone MC, Harrison LH; São Paulo RT-PCR Surveillance Project Team. Incorporation of real-time PCR into routine public health surveillance of culture negative bacterial meningitis in São Paulo, Brazil. PLoS One. 2011;6:e20675. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 65] [Cited by in F6Publishing: 71] [Article Influence: 5.5] [Reference Citation Analysis (0)] |
24. | Wu HM, Cordeiro SM, Harcourt BH, Carvalho M, Azevedo J, Oliveira TQ, Leite MC, Salgado K, Reis MG, Plikaytis BD, Clark TA, Mayer LW, Ko AI, Martin SW, Reis JN. Accuracy of real-time PCR, Gram stain and culture for Streptococcus pneumoniae, Neisseria meningitidis and Haemophilus influenzae meningitis diagnosis. BMC Infect Dis. 2013;13:26. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 80] [Cited by in F6Publishing: 89] [Article Influence: 8.1] [Reference Citation Analysis (0)] |
25. | 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;40:81-88. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 20] [Cited by in F6Publishing: 27] [Article Influence: 4.5] [Reference Citation Analysis (0)] |
26. | Huy NT, Thao NT, Diep DT, 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. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 135] [Cited by in F6Publishing: 134] [Article Influence: 9.6] [Reference Citation Analysis (0)] |
27. | McGill F, Heyderman RS, Michael BD, Defres S, Beeching NJ, Borrow R, Glennie L, Gaillemin O, Wyncoll D, Kaczmarski E, Nadel S, Thwaites G, Cohen J, Davies NW, Miller A, Rhodes A, Read RC, Solomon T. The UK joint specialist societies guideline on the diagnosis and management of acute meningitis and meningococcal sepsis in immunocompetent adults. J Infect. 2016;72:405-438. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 98] [Cited by in F6Publishing: 109] [Article Influence: 13.6] [Reference Citation Analysis (0)] |
28. | Nazir M, Wani WA, Malik MA, Mir MR, Ashraf Y, Kawoosa K, Ali SW. Cerebrospinal fluid lactate: a differential biomarker for bacterial and viral meningitis in children. J Pediatr (Rio J). 2018;94:88-92. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 3.0] [Reference Citation Analysis (0)] |
29. | Schwarz S, Bertram M, Schwab S, Andrassy K, Hacke W. Serum procalcitonin levels in bacterial and abacterial meningitis. Crit Care Med. 2000;28:1828-1832. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 108] [Cited by in F6Publishing: 120] [Article Influence: 5.0] [Reference Citation Analysis (0)] |