Skip to main content

Characteristics and biomarkers of patients with central nervous system infection admitted to a referral hospital in Northern Vietnam

Abstract

Background

Laboratory facilities for etiological diagnosis of central nervous system (CNS) infection are limited in developing countries; therefore, patients are treated empirically, and the epidemiology of the pathogens is not well-known. Tubercular meningitis is one of the common causes of meningitis, which has high morbidity and mortality, but lacks sensitive diagnostic assays. The objectives of this study were to determine the causes of meningitis in adult patients by using molecular assays, to assess the risk factors associated with them, and to explore whether biomarkers can differentiate tubercular meningitis from bacterial meningitis.

Methods

We conducted a cross-sectional study in the Department of Infectious Diseases, Bach Mai Hospital, Hanoi, Vietnam, from June 2012 to May 2014. All patients who were ≥ 16 years old and who had meningoencephalitis suggested by abnormal cerebrospinal fluid (CSF) findings (CSF total cell >5/mm3 or CSF protein ≥40 mg/dL) were included in the study. In addition to culture, CSF samples were tested for common bacterial and viral pathogens by polymerase chain reaction (PCR) and for biomarkers: C-reactive protein and adenosine deaminase (ADA).

Results

Total number of patients admitted to the department was 7506; among them, 679 were suspected to have CNS infection, and they underwent lumbar puncture. Five hundred eighty-three patients had abnormal CSF findings (meningoencephalitis); median age was 45 (IQR 31–58), 62.6% were male, and 60.9% were tested for HIV infection. Among 408 CSF samples tested by PCR, out of them, 358 were also tested by culture; an etiology was identified in 27.5% (n=112). S. suis (8.8%), N. meningitis (3.2%), and S. pneumoniae (2.7%) were common bacterial and HSV (2.2%), Echovirus 6 (0.7%), and Echovirus 30 (0.7%) were common viral pathogens detected. M. tuberculosis was found in 3.2%. Mixed pathogens were detected in 1.8% of the CSF samples. Rural residence (aOR 4.1, 95% CI 1.2–14.4) and raised CSF ADA (≥10 IU/L) (aOR 25.5, 95% CI 3.1–212) were associated with bacterial meningitis when compared with viral meningitis; similarly, raised CSF ADA (≥10 IU/L) (aOR 42.2, 95% CI 2.0–882) was associated with tubercular meningitis.

Conclusions

Addition of molecular method to the conventional culture had enhanced the identification of etiologies of CNS infection. Raised CSF ADA (≥10 IU/L) was strongly associated with bacterial and tubercular meningitis. This biomarker might be helpful to diagnose tubercular meningitis once bacterial meningitis is ruled out by other methods.

Background

Central nervous system (CNS) infection is ten times more common in developing countries than in developed countries, where clinical diagnosis and empiric treatment without etiological confirmation is the main way of management [1, 2]. The CNS infection in the tropical climates is complex because a wide range of pathogens can cause it, including arboviruses, mycobacterium, fungi, protozoa, and helminths, besides pathogens commonly seen in developed countries [3]. The incidence and etiology of CNS infection vary with time, geographical area, age of patients, underlying diseases, and vaccination status of the population [4].

In Vietnam, mortality and morbidity due to CNS infections are high; case fatality rate was 8–12% (21 deaths out of 262 in a study and 73 deaths out of 617 in another study), and residual disability was reported in 10–30% of survived patients [5, 6]. Few studies have investigated the etiologies of CNS infection and showed that Streptococcus suis and Herpes simplex virus are the main bacterial (24–50%) and viral (3.5–4%) causes of meningoencephalitis syndrome [5, 6]. However, 50–75% of the cases did not have a confirmed etiological diagnosis. The low proportion of confirmed diagnoses can be because of previous antibiotic use, natural clearance of virus, limited number of pathogens targeted in molecular assays, late lumbar puncture, and low sensitivity of diagnostic assays [5, 6]. Moreover, a relatively high frequency of tubercular meningitis (TBM) is attributed to the complexity of CNS infection in developing countries, including Vietnam. In Vietnam, TBM is confirmed in 2.6–6.0% (9/352-34/617) of CNS infections [5, 6]. TBM requires specific anti-TB drugs for a longer period than conventional bacterial meningitis, and discrimination of TBM from bacterial meningitis by clinical features alone is difficult and often impossible [7]. Many studies have shown that delays in diagnosis, which leads to delayed treatment, are a major contributing factor of high mortality of TBM [8,9,10]. TBM is diagnosed by culture and isolation of M. tuberculosis from CSF; this conventional method is slow and insensitive to aid clinician to decide on time [11]. Novel highly sensitive diagnostic assays are in need for TBM. CSF ADA is a biomarker, which has been investigated for the potential use for the diagnosis of TBM; however, more clinical studies for its validation are needed [12,13,14].

As the epidemiological and etiological data of CNS infections in Northern Vietnam are limited, we conducted this study to identify the common etiologies of CNS infections, including M. tuberculosis by using molecular methods in CSF samples of adult meningoencephalitis patients. We aimed to analyze the risk factors associated with common etiologies of CNS infections and their association with biomarkers.

Methods

Study design, enrollment criteria, and sample collection

This is a hospital-based cross-sectional study, which was carried out in the department of Infectious Diseases of Bach Mai Hospital, Hanoi, Vietnam. This hospital is the largest tertiary referral medical center with the patient coverage of all the areas of northern Vietnam. The infectious disease ward had 120 beds and had approximately 4000 patient admissions per year when this study was conducted. The study was conducted between June 2012 and May 2014. All patients, who were admitted to the infectious disease ward, were eligible to the study if they met the following inclusion criteria: (1) age of ≥ 16 year; (2) meningoencephalitis defined by abnormal cerebrospinal fluid (CSF) findings: CSF total cell >5/mm3 or CSF protein ≥40 mg/dL. All patients were managed by physicians in the department with routine clinical care.

Microbiological investigations

Sample collection and storage

About 2 to 5 mL CSF and 10 mL blood were collected. One milliliter CSF and 5 mL blood were separated and immediately stored at −20 °C for PCR. Remaining samples were used for routine tests; microscopy, including Gram staining and ZN staining, and culture. Later, the samples for PCR were transferred to NIHE and stored at −80 °C till the DNA was extracted.

Blood and CSF culture

Blood and CSF cultures were performed in the Microbiology Laboratory Department, Bach Mai Hospital, using standard culture methods. Blood culture was performed using BD BACTEC® 9240 blood culture system (Becton Dickinson, USA). CSF samples were cultured on blood and chocolate agar plates and inoculated at 37°C in 5% CO2 for 96 h before declaring negative.

Molecular methods

DNA was extracted from CSF samples by using Qiagen kit following the manufacturer’s protocol within 1 year of the end of study period, and polymerase chain reaction (PCR) was performed. Real-time PCR from PCR ROCHE® Diagnostics was used to detect Mycobacterium tuberculosis and Herpes simplex virus. These techniques were done in the Microbiology Laboratory Department of Bach Mai Hospital.

We applied multiplex PCR to identify Streptococcus pneumoniae, Neisseria meningitidis, and Haemophilus influenza and a single PCR for Streptococcus suis, following previously published methods [15, 16]. For detection of viral pathogens, real-time PCR and virus isolation methods were used [17,18,19,20].

Serological methods

Cryptococcus neoformans capsular polysaccharide antigen was tested in all CSF samples by using the Eiken test (Eiken, Tokyo, Japan).

Tests for biomarkers

In addition to the routine investigations of C-reactive protein (CRP) and procalcitonin (PCT) in blood, we measured the level of adenosine deaminase (ADA) in CSF. ADA was measured by the SEIKEN ADA II test kit (Denka, Tokyo, Japan).

Data collection

Epidemiological and clinical, including hospital and laboratory, data were collected from patients’ medical charts by investigators and trained research assistants in a standard questionnaire in the paper format. The data later were transferred to Microsoft Access.

Statistical analysis

Demographic and clinical characteristics and laboratory findings of bacterial meningitis, TB meningitis, and viral meningoencephalitis were compared. The categorical variables were presented as proportions and compared by the Chi-squared test or Fisher exact test, and the continuous variables were presented as the medians (IQR) and compared by using Kruskal-Wallis test. In multivariate analysis, variables with P value less than 0.2 in the univariate analysis, and age and sex were included. Using the backward stepwise method, the results of the final model were presented. P value <0.05 was regarded as the statistical significance. STATA version 14 (StataCorp LP, College Station, TX) was used for statistical analysis.

Ethical approval

This study was approved by the Institutional Review Boards of Bach Mai Hospital, Hanoi, Vietnam, and Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan. An informed written consent was obtained from all the patients prior to the enrollment. A parent or guardian gave the consent in cases of unconscious patients.

Results

Characteristics of the study population

The total number of patients admitted to the ward during the study period was 7506. Among these patients, 679 had symptoms and signs of CNS infection. Lumbar punctures were done in these suspected CNS infection patients, and 583 patients had raised cells (>5 cells/mm3) or increased protein (≥40 mg/dL) (Fig. 1). Epidemiological and clinical characteristics of these patients are shown in Table 1. Briefly, 62.6% were male; median age was 45 years; 69.1% were from rural areas. There was a strong association between living in rural areas and exposure to pig (p<0.001). In terms of clinical characteristics, 6.9% had diabetes, 6.4% were HIV positive, and 26.6% had antibiotics before admission to the hospital. Common presenting symptoms were headache (84.7%), fever (>38°C) (38.8%), and loss of consciousness (37.9%); similarly, common physical findings were neck stiffness (38.4%), low GCS score (8 to 14 in 29.6% and <8 in 2.4%), rash (12.0%), and hepatomegaly (10.8%). Among the patients with CNS infection, 2 (0.3%) died at the hospital, and 89 (15.3%) were discharged to home in a comatose state (not recovered). The details of the outcomes are shown in Fig. 2. CSF samples were available from 408 patients for PCR, and culture results were available from 358 patients (Fig. 1).

Fig. 1
figure1

Flowchart of the study showing the number of patients admitted to the ward during the study period to the detection of various pathogens in CSF

Table 1 Epidemiological and clinical characteristics of study population
Fig. 2
figure2

Bar graph showing the outcomes of the patients with CNS infections (n=583)

We found that 355 patients (60.9%) of 583 CNS-infected patients were tested for HIV status. We compared the characteristics of HIV tested and not tested patients (Table S1). We found that age less than 45 years, male sex, hepatomegaly, referral to another hospital, and hospital admission duration over 7 days were independently associated with HIV-tested patients.

Distribution of etiologic pathogens

By PCR, we detected bacterial pathogens in 92 samples and viral pathogens in 23 samples among 408 CSF samples (Fig. 1). Among those whose culture results were available, we found that 22 samples yielded a bacterial or a fungal pathogen. Combining both PCR and culture results, we found an etiological cause of meningitis in 112 patients out of 408 who had abnormal CSF findings. Table 2 shows the distribution of these pathogens. S. suis (8.8%) was the most common bacterial isolate, which was followed by N. meningitidis (3.2%) and S. pneumoniae (2.7%). Among viral pathogens, HSV (2.2%) was found to be most common, and it was followed by Echovirus 6 (0.7%) and Echovirus 30 (0.7%). M. tuberculosis was detected in 13 cases (3.2%). In CSF of seven patients, two or more pathogens were detected. C. neoformans was detected in a total of three cases (2 from culture and 1 from cryptococcal antigen test of CSF). Mixed pathogens were detected in seven CSF samples.

Table 2 Distribution of pathogens detected in suspected cases of meningoencephalitis

Based on a single identified etiological pathogen, we classified common CNS infection into bacterial meningitis (N=73), tuberculous meningitis (N=13), viral meningitis (N=19), and fungal meningitis (N=3) (Table 3).

Table 3 Demographic and clinical characteristics of viral, bacterial, and tubercular meningitis

Comparison of viral, bacterial, and tubercular meningitis

Demographic and clinical characteristics of viral, bacterial, and tubercular meningitis are compared in Table 3. Patients with viral meningitis tended to be younger than bacterial or tubercular meningitis; the median age was 31 years in viral meningitis versus 50 years in other types. The proportions of patients from the rural areas were significantly higher in bacterial and tubercular meningitis than in viral meningitis. Although there was no significant association between bacterial meningitis and exposure to pig, out of 39 patients infected with the most common bacterial pathogen S. suis, 7 (17.9%) patients were exposed to pig, and this association was highly significant (P<0.001). In laboratory findings, WBC count was higher in viral and bacterial meningitis than tubercular meningitis, and the proportion of raised CRP levels was found higher in bacterial and tubercular meningitis than viral meningitis. Similarly, the CSF analysis showed higher WBC count, protein level, and ADA levels in bacterial and tubercular meningitis than viral meningitis. Regarding the outcomes, most tubercular meningitis patients were referred to TB hospital, so we could not follow their treatment outcome from there. When compared between viral and bacterial meningitis patients, the proportion of complete recovery was high in viral meningitis (31.6% vs 21.9%), and the proportion of not recovered-discharged to home patients was high in bacterial meningitis (5.3% vs 15.0%). Both these findings suggested the severe outcomes were more common in bacterial meningitis than that of viral meningitis.

Table 4 shows the univariate and multivariate analyses of bacterial meningitis versus viral meningitis and tubercular meningitis versus viral meningitis. Age ≥40 years, rural residence, raised CRP, and all parameters in CSF analysis (raised WBC count, neutrophil count, protein, and ADA; and low CSF/blood glucose ratio) were associated with bacterial meningitis in the univariate analysis. In multivariate analysis, we found that rural residence and raised ADA (≥10 IU/L) were independently associated with bacterial meningitis as compared with viral meningitis. Similarly, rural residence, raised CSF protein, lower CSF/blood glucose ratio, and raised ADA level were associated with tubercular meningitis in the univariate analysis; however, only raised ADA level was associated independently with tubercular meningitis as compared to viral meningitis. When we compared tubercular meningitis with bacterial meningitis, we did not find any significantly associated factor (Table S2).

Table 4 Analysis of associated risk factors by meningitis type

Discussion

In this study, we assessed the epidemiological and clinical characteristics of 583 meningitis patients along with their identified etiologies. We found that most common presenting symptoms of CNS infections were headache, fever, and loss of consciousness, and most common signs were neck stiffness and low GCS score. In 27.5% of patients, a definite etiology of CNS infection was identified. The most common pathogens were S. suis, N. meningitidis, M. tuberculosis, S. pneumoniae, and HSV. When compared with viral meningitis, bacterial meningitis was independently associated with the rural area of residence and high ADA (≥10 IU/L); similarly, tubercular meningitis was independently associated with high ADA (≥10 IU/L).

CSF ADA has been studied as a biomarker for its diagnostic utility for TBM. Various studies show variable sensitivities and specificities of CSF ADA for its diagnostic accuracies, which depend on the cutoff levels and prevalence of the disease in the study population [12,13,14]. We found that CSF ADA (≥10 IU/L) was strongly associated with bacterial meningitis and TBM when compared with viral meningitis. The adjusted odds ratio was 42.2 for TBM, which was higher than that of 26.1 for bacterial meningitis. Systematic review and meta-analysis have shown that CSF ADA cannot differentiate TBM from bacterial meningitis; however, it can improve the diagnosis of TBM at ADA level >8 IU/L, particularly when bacterial infection has been ruled out [21]. We had similar observations at ≥10 IU/L. As ADA assay is inexpensive, easy to perform, and quick to get results, it should be incorporated in the management of CNS infections, especially TBM. TBM presents with non-specific clinical features and available diagnostic tests, including Ziehl-Neelsen staining; GeneXpert MTB/RIF lack sensitivity, and culture of mycobacteria takes time and can only be performed in specialized laboratory which may not be easily available. Therefore, ADA should be used routinely as one of the diagnostic tools while managing CNS infections.

CNS infections have some classical features, including headache, altered mental status, loss of consciousness, and neck stiffness in the background of fever or recent febrile illness [22]. In our study, we found that 84.7% patients with CNS infection had headache, 37.9% had a history of loss of consciousness, 38.4% had neck stiffness, and 38.8% had fever (>38°C). Thirty-two percent of patients had GCS scores less than 15. During the study period, 2 patients (0.3%) died, and 89 (15.5%) were discharged to home at comatose state, which shows the detrimental effects of CNS infections. Other previous studies have also shown high mortality and morbidity rates of CNS infection in Vietnam [5, 6]. There could be various reasons for the high morbidity and mortality of CNS infection in Vietnam. Firstly, S. suis is the most common cause of CNS infection, which is associated with pigs, and it is common in eating not well-cooked pig products (e.g., raw blood) or rearing pigs at home. Besides, the pig is a host for Japanese encephalitis, which can also cause encephalitis [23, 24]. Regarding preventive measures, although effective vaccines are available at present for other common bacterial infections: S. pneumoniae and N. meningitidis, these vaccines were not routinely administered to children or adults as part of immunization at the time of this study. Besides, immunocompromised states also increase the risk of CNS infections [25]. In our study population, 16.5% patients were immunocompromised, including 6.9% had diabetes and 6.4% had HIV.

In this hospital, if patients have a history or examination findings of opportunistic infections, which indicate immunocompromised states or HIV infection, or patients need an invasive treatment, we screen them for HIV testing. In the current analysis, we presumed most of HIV not-tested groups were not HIV infected. Among 583 patients with CNS infections, 60.9% were tested for HIV. When we compared the HIV tested with HIV not-tested groups, we found that male sex, age <45 years, hepatomegaly, and hospital admission duration over 7 days were independently associated with HIV-tested patients. Among HIV-positive cases, the prevalence of HIV is higher in male sex and young people than female sex and older people in Vietnam [26]. We found that 14.1% of HIV-tested patients had hepatomegaly. This is higher than the prevalence of hepatomegaly (4%) found among HIV patients presenting in outpatient clinics in Ho Chi Minh City, Vietnam [27]. The higher proportion of hepatomegaly might be due to the effects of other systemic infections, such as tuberculosis. The longer hospital stay in this population could be explained by the increased severity of illness [28, 29], and they tended to be referred to another hospital more frequently than the HIV not-tested patient group.

Burden of the disease, etiologies, and morbidity and mortality of CNS infection vary according to various factors, including age of the patients and geographical regions [30]. The disease incidence is high in sub-Saharan Africa and South East Asia. Regarding the common etiologies of bacterial meningitis, N. meningitis, S. pneumoniae, H. influenzae, and Salmonella spp. are common bacterial pathogens detected in Africa [31, 32], and S. pneumoniae, N. meningitidis, Group B streptococcus, K. pneumoniae, S. viridans, and S. suis are common in Asia [33,34,35]. Case fatality rate of bacterial meningitis was found to be highest (32.7%) in Swaziland and lowest (2.4%) in Singapore [30]. In our study, we found that S. suis was the commonest cause of bacterial meningitis, followed by N. meningitidis and S. pneumoniae. Our findings are consistent with the findings of previous research in Vietnam [5, 6]. S. suis is a zoonotic disease, and it is associated with exposure (contact) to pigs or pork. Eating undercooked pig products is a common practice in Vietnam and is found to be associated with S. suis infection [16]. Among viral meningitis, we found HSV was the most common followed by echoviruses. The viral etiologies were similar to the previous report from Hanoi [5], although we could not perform the serological diagnosis of some viral pathogens for CNS infections, such as Japanese encephalitis and dengue virus. JE and dengue virus were some of the common etiologies detected in previous studies in Vietnam [6, 36]. TBM was one of the common pathogens detected in this study. We detected 13 individual TBM cases and 2 cases with H. influenzae in 408 patients with CNS infections. HIV positivity was associated with TBM. As we referred all TB meningitis cases, once they were diagnosed, to another special hospital for TB treatment, we did not know the outcome of these patients. TBM is a severe form of TB with high morbidity and mortality. Patients with HIV are at 20 times higher risk of developing TB [37]. A study in Vietnam showed that the mortality rate of TBM cases was more than twice in HIV-positive patients compared to HIV-negative patients (65% vs 30%) [38]. Diagnosis of TBM is difficult, and to differentiate it from bacterial or viral meningitis by clinical features only is often impossible [7]. Microscopy of CSF has low sensitivity, and growth in conventional culture is slow. Early diagnosis of TBM is vital to decrease the morbidity and mortality as the early diagnosis helps to start the antitubercular drugs on time. However, there is a lack of highly sensitive and specific diagnostic assay for TBM [37]. Although GeneXpert MTB/Rif has improved the diagnosis of pulmonary tuberculosis, its sensitivity to diagnose TBM has been variable because of the limitation of the PCR-based tests and the low bacterial density in CSF samples [39]. Therefore, there is an urgent need to develop a highly sensitive and specific diagnostic test for TBM.

Comparing the characteristics among the viral, bacterial, and tubercular meningitis, we found that the median age of patients with viral meningitis was significantly lower than patients with bacterial meningitis or TBM. The age distribution seemed similar to the previous study carried out in Vietnam, except for the TBM patients who tended to be older in our study population [5]. The proportion of patients from the rural area was higher than urban area in bacterial meningitis and TBM, which was quite opposite in viral meningitis. Rural place of residence was independently associated with bacterial meningitis when compared with viral meningitis. One of the reasons of this association is likely due a higher proportion of exposure to pig in rural area (OR 2.1 (95% CI 0.5–9.9)), although the number of people exposed to pig was small. However, our data showed a strong association between patients with S. suis and history of exposure to pig (P<0.001); other probable reasons are people in rural areas tend to be poorer, with low hygiene, and malnourished so that they have higher susceptibility of bacterial infections, including tuberculosis [40, 41]. Laboratory investigations showed that the median white blood cells were significantly less in TBM than viral or bacterial meningitis. The proportion of patients with raised CRP level (≥1 mg/dL) was higher in bacterial meningitis than viral and TBM. These findings were similar to those of the previous studies [5, 42].

This study has limitations. We could not do the serological tests for viral etiologies, which had limited the detections of some of the viruses, including Japanese encephalitis. Some of the CSF samples with abnormal cells or protein were not available for PCR. The amount of CSF in some samples was not adequate to do culture properly that may diminish the identification of some bacterial pathogens. Culture of Mycobacterial tuberculosis was also not available in the hospital laboratory. As this is the tertiary level hospital, most of the patients were very serious and were referred from the other hospital that led to a higher proportion of not-recovered or comatose discharge. We could not determine the outcome of TBM patients as we had to refer them to TB special hospital once diagnosed. Due to low sample size, we could not detect any significant differences in characteristics of tubercular meningitis and bacterial meningitis.

Conclusions

Using the molecular diagnostic method in addition to the conventional culture of CSF, we detected a range of viral, bacterial, mycobacterial, and fungal pathogens of CNS infections in adult patients. Addition of molecular methods had improved the identification of pathogens. Rural residence was associated with bacterial meningitis. CSF ADA ≥10 IU/L was strongly associated with bacterial meningitis and TBM. Once bacterial meningitis is ruled out, it may be helpful to diagnose TBM.

Availability of data and materials

De-identified data of this study will be available at the reasonable request to the corresponding author.

Abbreviations

ADA:

Adenosine deaminase

CMV:

Cytomegalovirus

CNS:

Central nervous system

CRP:

C-reactive protein

CSF:

Cerebrospinal fluid

GCS:

Glasgow Coma Scale

HIV:

Human immunodeficiency virus

HSV:

Herpes simplex virus

TB:

Tuberculosis

TBM:

Tubercular meningitis

WBC:

White blood cell

References

  1. 1.

    Scarborough M, Thwaites GE. The diagnosis and management of acute bacterial meningitis in resource-poor settings. Lancet Neurol. 2008;7(7):637–48. https://doi.org/10.1016/S1474-4422(08)70139-X.

    Article  PubMed  Google Scholar 

  2. 2.

    Brouwer MC, Tunkel AR, Van De Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clin Microbiol Rev. 2010;23(3):467–92. https://doi.org/10.1128/CMR.00070-09.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Tunkel AR. Approach to the patient with central nervous system infection. In: Mandell, Douglas, and Bennett’s Principles and practice of infectious diseases; 2014.

    Google Scholar 

  4. 4.

    Giri A, Arjyal A, Koirala S, Karkey A, Dongol S, Thapa SD, et al. Aetiologies of central nervous system infections in adults in Kathmandu, Nepal: a prospective hospital-based study. Sci Rep. 2013;3:2382.

    Article  Google Scholar 

  5. 5.

    Taylor WR, Nguyen K, Nguyen D, Nguyen H, Horby P, Nguyen HL, et al. The spectrum of central nervous system infections in an adult referral hospital in Hanoi. Vietnam. PLoS One. 2012;7(8):e42099. https://doi.org/10.1371/journal.pone.0042099.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Ho Dang Trung N, Le Thi Phuong T, Wolbers M, Nguyen van Minh H, Nguyen Thanh V, Van MP, et al. Aetiologies of central nervous system infection in Viet Nam: a prospective provincial hospital-based descriptive surveillance study. PLoS One. 2012;7(5):e37825.

    Article  Google Scholar 

  7. 7.

    Thwaites GE, Chau TTH, Stepniewska K, Phu NH, Chuong LV, Sinh DX, et al. Diagnosis of adult tuberculous meningitis by use of clinical and laboratory features. Lancet. 2002;360(9342):1287–92. https://doi.org/10.1016/S0140-6736(02)11318-3.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Sheu JJ, Yuan RY, Yang CC. Predictors for outcome and treatment delay in patients with tuberculous meningitis. Am J Med Sci. 2009;338(2):134–9. https://doi.org/10.1097/MAJ.0b013e3181a590f1.

    Article  PubMed  Google Scholar 

  9. 9.

    Marx GE, Chan ED. Tuberculous meningitis: diagnosis and treatment overview. Tuberc Res Treat. 2011;2011:798764.

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Meintjes G, Schoeman H, Morroni C, Wilson D, Maartens G. Patient and provider delay in tuberculosis suspects from communities with a high HIV prevalence in South Africa: a cross-sectional study. BMC Infect Dis. 2008;8(1):72. https://doi.org/10.1186/1471-2334-8-72.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Thwaites G, Chau TTH, Mai NTH, Drobniewski F, McAdam K, Farrar J. Tuberculous meningitis. J Neurol Neurosurg Psychiatry. 2000;68(3):289–99. https://doi.org/10.1136/jnnp.68.3.289.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Parra-Ruiz J, Ramos V, Dueñas C, Coronado-Álvarez NM, Cabo-Magadán R, Portillo-Tuñón V, et al. Rational application of adenosine deaminase activity in cerebrospinal fluid for the diagnosis of tuberculous meningitis. Infection. 2015;43(5):531–5. https://doi.org/10.1007/s15010-015-0777-7.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Xu HB, Jiang RH, Li L, Sha W, Xiao HP. Diagnostic value of adenosine deaminase in cerebrospinal fluid for tuberculous meningitis: a meta-analysis. Int J Tuberc Lung Dis. 2010;14(11):1382–7.

    PubMed  Google Scholar 

  14. 14.

    Erdem H, Elaldi N, Gulsun S, Sengoz G, Crisan A, Johansen IS, et al. The microbiological diagnosis of tuberculous meningitis : results of Haydarpasa-1 study. Clin Microbiol Infect. 2014;20(10):O600–8. https://doi.org/10.1111/1469-0691.12478.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    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(4):1553–8. https://doi.org/10.1128/JCM.39.4.1553-1558.2001.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Mai NTH, Hoa NT, Nga TVT, Linh LD, Chau TTH, Sinh DX, et al. Streptococcus suis meningitis in adults in Vietnam. Clin Infect Dis. 2008;46(5):659–67. https://doi.org/10.1086/527385.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Allan Nix W, Oberste MS, Pallansch MA. Sensitive, seminested PCR amplification of VP1 sequences for direct identification of all enterovirus serotypes from original clinical specimens. J Clin Microbiol. 2006;44(8):2698–704.

    Article  Google Scholar 

  18. 18.

    Grywna K, Kupfer B, Panning M, Drexler JF, Emmerich P, Drosten C, et al. Detection of all species of the genus Alphavirus by reverse transcription-PCR with diagnostic sensitivity. J Clin Microbiol. 2010;48(9):3386–7. https://doi.org/10.1128/JCM.00317-10.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Scaramozzino N, Crance JM, Jouan A, DeBriel DA, Stoll F, Garin D. Comparison of Flavivirus universal primer pairs and development of a rapid, highly sensitive heminested reverse transcription-PCR assay for detection of flaviviruses targeted to a conserved region of the NS5 gene sequences. J Clin Microbiol. 2001;39(5):1922–7. https://doi.org/10.1128/JCM.39.5.1922-1927.2001.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Vázquez-Morón S, Avellón A, Echevarría JE. RT-PCR for detection of all seven genotypes of Lyssavirus genus. J Virol Methods. 2006;135(2):281–7. https://doi.org/10.1016/j.jviromet.2006.03.008.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Tuon FF, Higashino HR, Lopes MIBF, Litvoc MN, Atomiya AN, Antonangelo L, et al. Adenosine deaminase and tuberculous meningitis—a systematic review with meta-analysis. Scand J Infect Dis. 2010;42(3):198–207. https://doi.org/10.3109/00365540903428158.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Stoeter DJ, Michael BD, Solomon T, Poole L. Managing acute central nervous system infections in the UK adult intensive care unit in the wake of UK encephalitis guidelines. J Intensive Care Soc. 2015;16(4):330–8. https://doi.org/10.1177/1751143715587927.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Ricklin ME, García-Nicolás O, Brechbühl D, Python S, Zumkehr B, Nougairede A, et al. Vector-free transmission and persistence of Japanese encephalitis virus in pigs. Nat Commun. 2016;7(1):10832. https://doi.org/10.1038/ncomms10832.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Erlanger TE, Weiss S, Keiser J, Utzinger J, Wiedenmayer K. Past, present, and future of Japanese encephalitis. Emerg Infect Dis. 2009;15(1):1–7. https://doi.org/10.3201/eid1501.080311.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Adriani KS, Brouwer MC, van de Beek D. Risk factors for community-acquired bacterial meningitis in adults. Neth J Med. 2015;73(2):53–60.

    CAS  PubMed  Google Scholar 

  26. 26.

    Tran BX. Quality of life outcomes of antiretroviral treatment for HIV/AIDS patients in Vietnam. PLoS One. 2012;7(7):e41062. https://doi.org/10.1371/journal.pone.0041062.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Klotz SA, Hao CN, Tam VP, Liem TN, Ngo DTA, Son NV. Clinical features of HIV/AIDS patients presenting to an inner city clinic in Ho Chi Minh City. Vietnam. Int J STD AIDS. 2007;18(7):482–5. https://doi.org/10.1258/095646207781147265.

    Article  PubMed  Google Scholar 

  28. 28.

    Fiser DH, Tilford JM, Roberson PK. Relationship of illness severity and length of stay to functional outcomes in the pediatric intensive care unit: a multi-institutional study. Crit Care Med. 2000;28(4):1173–9. https://doi.org/10.1097/00003246-200004000-00043.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(Suppl 2):S82–9. https://doi.org/10.1086/499406.

    Article  PubMed  Google Scholar 

  30. 30.

    Robertson FC, Lepard JR, Mekary RA, Davis MC, Yunusa I, Gormley WB, et al. Epidemiology of central nervous system infectious diseases: a meta-analysis and systematic review with implications for neurosurgeons worldwide. J Neurosurg. 2018;1:1–20.

    Google Scholar 

  31. 31.

    Campagne G, Schuchat A, Djibo S, Ousséini A, Cissé L, Chippaux JP. Epidemiology of bacterial meningitis in Niamey, Niger, 1981-96. Bull World Health Organ. 1999;77(6):499–508.

    CAS  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Ford H, Wright J. Bacterial meningitis in Swaziland: an 18 month prospective study of its impact. J Epidemiol Community Health. 1994 Jun;48(3):276–80. https://doi.org/10.1136/jech.48.3.276.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Chan YC, Ong BKC, Kumarasinghe G, Wilder-Smith E. Adult community acquired bacterial meningitis in a Singaporean teaching hospital. A seven-year overview ( 1993-2000 ). Singapore Med J. 2002;43(12):632–6.

    CAS  PubMed  Google Scholar 

  34. 34.

    Chang WN, Lu CH, Huang CR, Chuang YC. Mixed infection in adult bacterial meningitis. Infection. 2000;28(1):8–12. https://doi.org/10.1007/s150100050003.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Hui ACF, Ng KC, Tong PY, Mok V, Chow KM, Wu A, et al. Bacterial meningitis in Hong Kong: 10-years’ experience. Clin Neurol Neurosurg. 2005;107(5):366–70. https://doi.org/10.1016/j.clineuro.2004.10.006.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Van Tan L, Thai LH, Phu NH, Nghia HDT, Van Chuong L, Sinh DX, et al. Viral aetiology of central nervous system infections in adults admitted to a tertiary referral hospital in southern Vietnam over 12 years. PLoS Negl Trop Dis. 2014;8(8):e3127. https://doi.org/10.1371/journal.pntd.0003127.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Van TTT, Farrar J. Tuberculous meningitis. J Epidemiol Community Health. 2014;68(3):195–6. https://doi.org/10.1136/jech-2013-202525.

    Article  PubMed  Google Scholar 

  38. 38.

    Thwaites GE, Bang ND, Dung NH, Quy HT, Oanh DTT, Thoa NTC, et al. Dexamethasone for the treatment of tuberculous meningitis in adolescents and adults. N Engl J Med. 2004;351(17):1741–51. https://doi.org/10.1056/NEJMoa040573.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Bahr NC, Marais S, Caws M, van Crevel R, Wilkinson RJ, Tyagi JS, et al. GeneXpert MTB/Rif to diagnose tuberculous meningitis: perhaps the first test but not the last. Clin Infect Dis. 2016;62(9):1133–5. https://doi.org/10.1093/cid/ciw083.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Marais BJ, Lönnroth K, Lawn SD, Migliori GB, Mwaba P, Glaziou P, et al. Tuberculosis comorbidity with communicable and non-communicable diseases: integrating health services and control efforts. Lancet Infect Dis. 2013;13(5):436–48. https://doi.org/10.1016/S1473-3099(13)70015-X.

    Article  PubMed  Google Scholar 

  41. 41.

    Hoa NB, Sy DN, Nhung NV, Tiemersma EW, Borgdorff MW, Cobelens FG. National survey of tuberculosis prevalence in Viet Nam. Bull World Health Organ. 2010;88(4):273–80. https://doi.org/10.2471/BLT.09.067801.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Sormunen P, Kallio MJT, 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(6):725–9. https://doi.org/10.1016/S0022-3476(99)70288-X.

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to all the patients who participated in the study. We are also thankful to all the staff who helped in this study especially the laboratory staff.

Funding

This research was partially supported by the Japan Initiative for Global Research Network on Infectious Diseases (J-GRID) from Ministry of Education, Culture, Sport, Science & Technology in Japan, and Japan Agency for Medical Research and Development (AMED) under Grant Number JP20wm0125006. The funders did not have any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Affiliations

Authors

Contributions

KA, SH, and LMY designed the study. NCC, TH, and LTKA collected the data and checked quality. FH supervised and conducted laboratory investigations for viral pathogen detection. NTHA supervised and conducted laboratory investigation for bacterial pathogen detection. DDA supervised the project in NIHE. DDC, PTTT, and LMY supervised the project in Bach Mai Hospital. NCC, SK, SH, and BGD did data analysis. CS helped on the supervision of the project. NCC, BGD, SK, and KA wrote the manuscript. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Koya Ariyoshi.

Ethics declarations

Ethics approval and consent to participate

An informed written consent was obtained from all the patients prior to the enrollment in this study. When the patient was unconscious, the consent was obtained from his/her parent or guardian. Institutional Review Boards of Bach Mai Hospital, Hanoi, Vietnam, and Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan, had approved this study.

Consent for publication

Not application

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Comparison of epidemiological and clinical characteristics between HIV-not-tested and HIV-tested population.

Additional file 2: Table S2.

Analysis of associated risk factors of tubercular meningitis versus bacterial meningitis.

Additional file 3.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ngo, C.C., Katoh, S., Hasebe, F. et al. Characteristics and biomarkers of patients with central nervous system infection admitted to a referral hospital in Northern Vietnam. Trop Med Health 49, 42 (2021). https://doi.org/10.1186/s41182-021-00322-2

Download citation

Keywords

  • CNS infection
  • Meningitis
  • S. suis
  • HSV
  • Tubercular meningitis
  • Biomarker
  • ADA
  • Vietnam