Skip to main content

Characteristics and prognostic factors of bacterial meningitis in the intensive care unit: a prospective nationwide cohort study

Abstract

Background

Patients with bacterial meningitis can be severely ill necessitating intensive care unit (ICU) treatment. Here, we describe clinical features and prognostic factors of adults with bacterial meningitis admitted to the ICU in a nationwide prospective cohort study.

Methods

We prospectively assessed clinical features and outcome of adults (age > 16 years) with community-acquired bacterial meningitis included in the MeninGene study between March 1, 2006 and July 1, 2022, that were initially admitted to the ICU. We identified independent predictors for initial ICU admission and for unfavourable outcome (Glasgow Outcome Scale score between 1–4) by multivariable logistic regression.

Results

A total of 2709 episodes of bacterial meningitis were included, of which 1369 (51%) were initially admitted to the ICU. We observed a decrease in proportion of patients being admitted to the ICU during the Covid-19 pandemic in 2020 (decreased to 39%, p = 0.004). Median age of the 1369 patients initially admitted to the ICU was 61 years (IQR 49–69), and the rates of unfavourable outcome (47%) and mortality (22%) were high. During the Covid-19 pandemic, we observed a trend towards an increase in unfavourable outcome. Prognostic factors predictive for initial ICU admission were younger age, immunocompromised state, male sex, factors associated with pneumococcal meningitis, and those indicative of systemic compromise. Independent predictors for unfavourable outcome in the initial ICU cohort were advanced age, admittance to an academic hospital, cranial nerve palsies or seizures on admission, low leukocyte count in blood, high C-reactive protein in blood, low CSF: blood glucose ratio, listerial meningitis, need for mechanical ventilation, circulatory shock and persistent fever. 204 of 1340 episodes (15%) that were initially not admitted to the ICU were secondarily transferred to the ICU. The rates of unfavourable outcome (66%) and mortality (30%) in this group were high.

Conclusions

The majority of patients with community-acquired bacterial meningitis are admitted to the ICU, and the unfavourable outcome and mortality rates of these patients remain high. Patients that are initially admitted to non-ICU wards but secondarily transferred to the ICU also had very high rates of unfavourable outcome.

FormalPara Take home message

This study shows that the majority of patients with bacterial meningitis need intensive care unit (ICU) monitoring and/ or treatment. The rate of unfavourable outcome and mortality of patients initially admitted to the ICU remains high. Patients transferred to the ICU later during admission have a poor outcome which raises the question whether a more liberal ICU admission policy on initial presentation could have improved outcome, as early recognition and treatment of circulatory shock and respiratory failure is crucial for effective treatment of these complications.

Introduction

The case-fatality rate of bacterial meningitis is high and depends on the causative pathogen, ranging from 5% for Neisseria meningitidis and up to 30% for Streptococcus pneumoniae [1,2,3]. About half of the survivors of this disease suffer from neurological sequelae, such as focal cerebral deficits, hearing impairment, and cognitive impairment [1,2,3,4,5]. Although the implementation of conjugate vaccines against the most common causative pathogens has decreased the incidence of the disease [6,7,8], the worldwide disease burden is high [5, 9].

Cohort studies have identified several factors prognostic for unfavourable outcome in adults with bacterial meningitis: older age, signs indicative of systemic compromise—such as low blood pressure, high heart rate, high serum inflammatory markers—a low level of consciousness, factors indicative of S. pneumoniae infection—such as otitis or pneumonia—delayed antimicrobial treatment, no adjunctive dexamethasone treatment, infection with an antimicrobial resistant pathogen, and host genetic factors [1, 2, 7, 8, 10,11,12,13,14,15]. Identification of prognostic factors associated with systemic compromise and low level of consciousness in bacterial meningitis has led to the recommendation for an aggressive supportive approach requiring intensive care unit (ICU) admission [5, 16, 17]. However, studies evaluating patients with community-acquired bacterial meningitis on the ICU are mostly retrospective or focussed on specific pathogens only [18,19,20,21].

In 2006, we started a prospective cohort study on community-acquired bacterial meningitis (MeninGene) in adults in the Netherlands [2, 8, 15]. Here, we report data of this cohort focussing on patients with community-acquired bacterial meningitis admitted to the ICU, either initially (from the emergency department) or during clinical course (transfer from a non-ICU ward). The main objective was to assess clinical features and to identify independent predictors for initial ICU admission and for unfavourable outcome. The secondary objective was to study the proportion of bacterial meningitis patients initially admitted to the ICU over time.

Methods

Patients

The MeninGene study is an ongoing nationwide, prospective cohort study conducted in the Netherlands, with the goal to identify host and pathogen risk factors that can influence susceptibility and outcome of bacterial meningitis [1, 2]. The study started in 2006 and patients aged 17 years or older diagnosed with community-acquired bacterial meningitis are included. The MeninGene investigators are notified by either the treating physician or the Netherlands Reference Laboratory for Bacterial Meningitis (NRLBM) on possible cases of bacterial meningitis. The NRLBM receives approximately 85% of all positive cerebrospinal fluid and blood samples of patients with bacterial meningitis in the Netherlands. The patients, or their legal representatives, are then contacted to receive written information on the study protocol and obtain informed consent for inclusion.

Inclusion and exclusion criteria

Patients are eligible for inclusion in the MeninGene study if they have a positive cerebrospinal fluid (CSF) culture, or at least one of the following findings in CSF predictive for bacterial meningitis (according to the Spanos criteria): glucose < 1.9 mmol/L, CSF serum glucose ratio < 0.23, protein concentration > 2.20 g/L, white cell count > 2000 cells/mm3 or CSF neutrophil count > 1180 cells/mm3 [22] in combination with a positive CSF PCR, CSF antigen or blood culture. Patients with a neurosurgical operation in the previous month, head trauma in the previous month, neurosurgical devices in situ, or a hospital-acquired bacterial meningitis (HABM) developed during admission or within 1 week after discharge were excluded.

Data collection and definitions

Data are collected prospectively using an online Case Record Form (eCRF). Baseline characteristics, symptoms, results of neurological examinations, clinical course, treatment and outcome are registered. Also hospital type (e.g. academic, top clinical or regional) is registered. Predisposing factors for developing bacterial meningitis were defined as an extra meningeal infection focus (otitis, sinusitis, endocarditis or pneumonia), immunocompromised state (defined as having active cancer, medication treated diabetes, HIV, asplenia, alcoholism or receiving immunosuppressive treatment), or having a CSF leak or a recurrent meningitis episode. Altered mental status was defined as a Glasgow Coma Scale score (GCS) of < 14, and coma as a GCS ≤ 8. Admission wards were divided into ICU and non-ICU wards (medium care, neurology ward or others). Persistent fever was defined as fever lasting for longer than 24 h after administration of antibiotics. Outcome upon hospital discharge was assessed using the Glasgow Outcome Score (GOS), which is a widely used and validated outcome scale ranging from 1 (death) to 5 (mild or no disability) [23]. Unfavourable outcome was defined as GOS score of 1–4, and a favourable outcome as a GOS score of 5.

Statistical analysis

Categorical variables were expressed using proportions and counts, and continuous variables using the median with interquartile range (IQR). The proportion of episodes admitted to the ICU over time was calculated per epidemiological year (July 1 – June 30). Wald confidence intervals for proportions were estimated using binomial distribution. Comparisons were made using the Mann–Whitney U test for continuous variables and Fisher’s exact test for categorical variables. Logistic regression was used to analyse the association between predictor factors and either initial ICU admission or unfavourable outcome. Possible prognostic factors were selected based on clinical experience and previous studies [18, 20]. The assumption of linearity between a continuous variable and the (log odds of the) outcome was assessed with the Hosmer–Lemeshow goodness-of-fit test and visual inspection. In the absence of a linear relationship, the continuous variable was categorized. Missing data (4.7% of total values) were imputed using multiple imputation, by combining 5 imputed datasets based on all available prognostic factors [24]. All tests were 2-tailed and statistical significance was defined as p < 0.05. All statistical analyses were performed using IBM SPSS Statistics for Windows (v.28) and R studio (V4.0.3).

Results

Between March 1, 2006 and July 1, 2022, 2709 episodes of community-acquired bacterial meningitis, occurring in 2654 patients were included in the MeninGene study; 1369 of these 2709 episodes (51%) were initially admitted to the ICU (Fig. 1). Of the episodes initially admitted to a non-ICU ward (N = 1340), 204 episodes (15%) were transferred to the ICU during clinical course. The proportion of episodes initially admitted to the ICU was relatively stable over the period 2006–2019, ranging between 46 and 56% (Additional file 1: Figure S1). However, in 2020 there was a sudden decrease to 35% (32 of 91 episodes; p = 0.004), after which the proportion increased again to 50% (78 of 155 episodes) in 2021. The baseline characteristics of the 2020 cohort did not differ compared to previous years (Additional file 2: Table S1).

Fig. 1
figure 1

Flowchart with selection of inclusions. ICU intensive care unit, HABM hospital-acquired bacterial meningitis, CSF cerebrospinal fluid, PCR polymerase chain reaction

The median age of the 1369 episodes initially admitted to the ICU was 61 years (IQR 49–69) and 632 of 1369 (46%) episodes occurred in females (Table 1). An extra meningeal infection focus was identified in 656 of 1356 (48%) episodes, and 458 of 1369 episodes (33%) were immunocompromised. The triad of neck stiffness (866 of 1216 [71%]), fever (979 of 1325 [74%]) and a decreased level of consciousness (Glasgow Coma Scale score < 14, 1155 of 1360 [85%]) was present in 585 of 1254 episodes (47%). The median Glasgow Coma Scale score (GCS) was 10 (IQR 8–12) and 431 of 1360 (32%) of the episodes presented in a coma.

Table 1 Baseline characteristics and outcome of episodes initially admitted to the ICU

A lumbar puncture was performed in all episodes initially admitted to the ICU. The median CSF white cell count was 2850 per mm3 (IQR 592–7595). Cranial imaging was done on admission for 1258 of 1368 episodes (92%) and abnormalities were recorded in 602 of 1258 episodes (48%), most commonly sinus or mastoid opacification (514 of 1200 [45%]), generalized brain edema (134 of 1238 [11%]), and hydrocephalus (72 of 1241 episodes [6%]). Cranial imaging preceded lumbar puncture in 988 of 1106 episodes (89%) with neuroimaging data available. The most common causative pathogens were S. pneumoniae (1071 of 1369 [78%]) and N. meningitidis (124 of 1369 [9%]). Blood cultures were positive for 957 of 1197 episodes (80%) with cultures done. Initial antibiotic treatment included a combination of amoxicillin with a third-generation cephalosporin in 802 of 1367 episodes (59%), monotherapy third-generation cephalosporin in 354 of 1367 episodes (26%), and penicillin or amoxicillin monotherapy in 60 of 1367 episodes (4%). Other antibiotic regimens were used in 151 of 1357 episodes (11%). Adjunctive dexamethasone was administered in 1211 of 1326 episodes (91%), and according to protocol (defined as 4 times 10 mg a day, for 4 days) in 1134 of 1326 episodes (86%).

The clinical course of episodes initially admitted to the ICU was often complicated by respiratory failure (470 of 1300 [36%]), need for mechanical ventilation (715 of 1329 [54%]), seizures (230 of 1313 [18%]), and focal neurological deficits (362 of 1220 [30%]). An unfavourable outcome occurred in 643 of 1369 episodes (47%) and 304 (of 1369 [22%]) episodes died. The rate of unfavourable outcome was relatively stable over the years with two peaks between the periods 2009–2010 and 2020 (Additional file 1: Figure S1). In the year 2020, during the Covid-19 pandemic, the increase in unfavourable outcome co-existed with a decrease of the proportion of patients admitted to the ICU, suggesting that only the most severely ill patients were admitted to ICU. The overall case-fatality rate varied by the causative organism: 240 of 1071 episodes (23%) for pneumococcal meningitis, 6 of 124 episodes (5%) for meningococcal meningitis, 2 of 27 episodes (7%) for Haemophilus influenzae meningitis, 17 in 36 episodes (47%) for listeria meningitis and 10 of 17 (59%) for Staphylococcus aureus meningitis. Of the 304 non-survivors, the cause of death was known for 244 episodes (80%). Death was due to neurological complications in 148 of 244 episodes (61%) and to systemic complication in 96 of 244 episodes (39%). The most common causes of death were brain herniation (in 63 of 244 episodes [26%]), cerebrovascular complications (in 39 of 244 episodes [16%]), and withdrawal of care because of poor neurological prognosis (in 34 of 244 episodes [14%]).

A multivariable analysis assessing the independent predictors for initial ICU admission in the total cohort of bacterial meningitis episodes (N = 2709) showed that younger age (< 70 years), male sex, immunocompromised state, presence of rash, low Glasgow Coma Scale score, seizures on admission, heart rate above 100 beats per minute, high temperature, low thrombocyte count in blood, high protein in CSF and pneumococcal meningitis were predictive for ICU admission (Additional file 2: Table S2).

A multivariable analysis including only the episodes initially admitted to the ICU (N = 1369) revealed several characteristics independently associated with unfavourable outcome (Table 2): admittance to an academic hospital, advanced age (> 70 years), alcoholism, cranial nerve palsies or seizures on admission, low leukocyte count in blood, high C-reactive protein in blood, low CSF:blood glucose ratio, listerial meningitis, need for mechanical ventilation, circulatory shock and persistent fever.

Table 2 Factors associated with an unfavourable outcome in the episodes initially admitted to the intensive care unit (N = 1369)

Of the 1340 episodes initially not admitted to the ICU, 204 (15%) were transferred secondarily to the ICU (Fig. 1) after a median of 1 day (IQR 0–3 days); 74 out of 190 (39%) episodes were transferred on the same day and 141 of 190 (74%) within 3 days (Table 3). Reasons indicated by physicians for ICU transfer were neurological complications in 80 of 189 episodes (42%), mostly seizures (22 of 189 [12%]), respiratory failure in 63 of 189 episodes (33%) and haemodynamic instability in 25 of 189 episodes (1%). The most common causative pathogens were S. pneumoniae (135 of 204 [66%]) and L. monocytogenes (31 of 204 [15%]; Additional file 2: Table S3). The rate of unfavourable outcome (135 of 204 [66%]) as well as mortality (30 of 204 [30%]) were high in the transfer cohort. The most common cause of death in episodes secondarily transferred to the ICU was haemodynamic instability or respiratory failure (10 of 50 [20%]). Interestingly, 129 of 1331 episodes not admitted to the ICU initially presented with a Glasgow Coma Scale score less than 8. Of these 129 patients, 5 patients (3%) died on the emergency room before they even could be admitted to the ICU, 16 patients (12%) were not transferred to the ICU because of treatment limitations based on advanced age or pre-existing medical conditions, and 33 episodes (31%) quickly improved in the emergency room (for example because of epileptic seizure). For 75 patients the reason for admission to a non-ICU ward despite their low Glasgow Coma Scale score was unclear.

Table 3 Duration of stay on non-ICU ward until transfer to ICU, and primary reason for ICU transfer

Discussion

Our study shows that a substantial proportion of bacterial meningitis cases (51%) are initially admitted to the ICU. A similar proportion of bacterial meningitis patients who required ICU admission was found in a recent UK study reporting (53%) but is lower than that reported in French cohort study (79%) [25, 26]. Furthermore, we found that the Covid-19 pandemic led to a decrease in the rate of ICU admission which was associated with a higher likelihood of unfavourable outcome. Indeed, an observational cohort of 130,698 patients in the UK showed that for patients admitted to ICU during the pandemic, levels of ICU capacity strain were associated with higher mortality even after accounting for differences in baseline characteristics [27].

The rate of unfavourable outcome (47%) and mortality (22%) was high amongst bacterial meningitis patients admitted to the ICU. We found several characteristics predictive of unfavourable outcome. First, admission to a tertiary care facility (academic hospital) was associated with unfavourable outcome, consistent with previous research that suggests that patients admitted in ICU tertiary care facilities have a poorer outcome compared to those treated in lower-level healthcare settings [28]. Second, patient factors such as advanced age and alcoholism were associated with unfavourable outcomes, which is consistent with prior findings [1, 2, 29, 30]. Third, established factors predictive of severe illness such as seizures, cranial nerve palsy, low leukocyte count in blood, high C-reactive protein in blood, low CSF glucose concentration, need for mechanical ventilation, and presence of circulatory shock were also found to be predictors of unfavourable outcome [2, 29, 31, 32]. Finally, we also identified persistent fever and infection with L. monocytogenes as predictors of unfavourable outcome. Persistent fever has been previously reported as a predictive factor for unfavourable outcome in a meta-analysis of data from children bacterial meningitis [33]. L. monocytogenes can cause bacterial meningitis in immunocompromised individuals and the elderly [34, 35], and has been linked to high rates of unfavourable outcome previously [36, 37]. We now show that on the ICU, listerial meningitis remains an independent predictor of unfavourable outcome in a model corrected for baseline characteristics, factors predictive for severe illness and persistent fever. Previous studies showed that delayed initiation of antibiotic treatment is also associated with increased in-hospital mortality and unfavourable outcome, [10] but unfortunately, as the exact timing of antibiotic treatment (in hours) is not known in our study, we could not correct for this in our multivariable analysis.

We also identified characteristics predictive of initial ICU admission, both patient factors (such as age younger than 70 years and immunocompromised state), and factors indicative for severe (pneumococcal) disease and systemic compromise (such as presence of rash, seizures on admission, impaired consciousness, high fever, thrombocytopenia and high protein levels in CSF). Interestingly, female patients had a lower likelihood of being admitted to the ICU. In our study, this effect remained robust in a multivariable analysis that corrected for severity. The decision to admit a meningitis patient to the ICU is typically based on the severity of their medical condition and the need for close monitoring and specialized care [16], rather than sex. However, hospital-population based studies have shown that men are generally more frequently admitted to ICUs, utilize more ICU resources, and are more likely to receive advanced life-supporting measures compared to women [38, 39]. In 2021, a retrospective analysis was conducted on 450,948 adult patients with neuro- and cardiovascular diseases who were admitted to various hospitals in Switzerland [40]. The findings of this analysis suggested that women had a reduced probability of receiving ICU treatment, regardless of the severity of their illness. In bacterial meningitis male sex has been identified as a predictive factor for poor outcomes both in children and adults [26, 39, 41]. Outcome in women tends to be better than for men, even though females tend to exhibit higher disease severity and elevated inflammation markers upon admission [41]. This observation might be partially attributed to the more favourable response of females to anti-inflammatory treatment involving corticosteroids [42]. Additionally, sex steroid hormones could potentially play a role in these disparities [43].

Of the 1340 episodes (49%) that were initially not admitted to the ICU, 204 episodes (15%) were still transferred to the ICU later on during admission. Interestingly the median duration until ICU transfer was only 1 day, showing that a substantial proportion of bacterial meningitis episodes that were initially not admitted to the ICU clinically deteriorated within only a few hours after admission to a non-ICU ward. Systemic complications in general, and specifically cardiorespiratory failure, were the main listed reasons for transfer to the ICU. Furthermore, both unfavourable outcome and mortality were extremely high in the transfer cohort (respectively, 66% and 30%), even compared to the cohort of patients initially admitted to the ICU. These findings raise the question to whether a more liberate ICU admission policy on initial presentation could have improved outcome, as early recognition of circulatory shock and respiratory failure is crucial for effective treatment of these complications. Even though it remains difficult to specify on an individual level whether the severity of the patients included in the transfer cohort was underestimated in the Emergency Department, the results of this study further substantiate the recommendation towards a more liberate ICU approach including respiratory and/or circulatory support for bacterial meningitis patients [17].

Our study has important limitations. First, only patients who underwent lumbar puncture were included in the study. Therefore, patients with absolute contraindications for a lumbar puncture, such as severe thrombocytopenia in sepsis or intracranial complications with risk of brain herniation, are not included. Second, our study in an observational study. Associations between the Covid-19 pandemic, ICU admission, and outcome have been observed and make sense, but the study design precludes conclusions about causality. Furthermore, our database lacks extensive data on ICU parameters such as respiratory rate, lactate levels and vasopressor need, precluding us from an objective assessment of septic shock or ICU admission criteria. Nevertheless, our prospective nationwide cohort study including more than 2,700 patients is the most comprehensive cohort study on bacterial meningitis to date. Third, our data only include outcome data scored at hospital discharge, which is relatively early for neurological assessment of disability. Fourth, although we prospectively collected data on complications and ICU admission, the rationale of physicians to admit to the ward, a specialized care unit, or ICU remain unclear to some extent. Furthermore, due to the observational nature of our cohort, our database lacks clear criteria and comprehensive details regarding the management of patients during their ICU stay.

In conclusion, monitoring and/or treatment in an ICU is performed in the majority of adults with community-acquired bacterial meningitis. We observed that the likelihood of ICU admission decreased during the start of the Covid-19 pandemic, which was associated with an increased rate of unfavourable outcome. The majority of meningitis patients admitted on the ICU will need mechanical ventilation, but ICU monitoring is also important to recognize changes in the patient’s consciousness and the development of new neurologic signs, monitor for subtle seizures, and treat severe agitation effectively [16]. Bacterial meningitis is often associated with circulatory shock, which is an important predictor of outcome [1, 2], requiring aggressive supportive treatment [3, 44].

Availability of data and materials

The data that support the findings of this study are available upon request from any qualified investigator from the corresponding author [DvdB].

Abbreviations

ICU:

Intensive care unit

NRLBM:

Netherlands reference laboratory for bacterial meningitis

GOS:

Glasgow Outcome Scale

GCS:

Glasgow Coma Scale

HABM:

Hospital-acquired bacterial meningitis

CSF:

Cerebrospinal fluid

PCR:

Polymerase chain reaction

References

  1. 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(18):1849–59.

    Article  PubMed  Google Scholar 

  2. Bijlsma MW, Brouwer MC, Kasanmoentalib ES, Kloek AT, Lucas MJ, Tanck MW, et al. Community-acquired bacterial meningitis in adults in the Netherlands, 2006–14: a prospective cohort study. Lancet Infect Dis. 2016;16(3):339–47.

    Article  PubMed  Google Scholar 

  3. van de Beek D, Brouwer MC, Koedel U, Wall EC. Community-acquired bacterial meningitis. Lancet. 2021;398(10306):1171–83.

    Article  PubMed  Google Scholar 

  4. Lucas MJ, Brouwer MC, van de Beek D. Neurological sequelae of bacterial meningitis. J Infect. 2016;73(1):18–27.

    Article  PubMed  Google Scholar 

  5. van de Beek D, Brouwer M, Hasbun R, Koedel U, Whitney CG, Wijdicks E. Community-acquired bacterial meningitis. Nat Rev Dis Primers. 2016;2(1):16074.

    Article  PubMed  Google Scholar 

  6. McIntyre PB, O’Brien KL, Greenwood B, van de Beek D. Effect of vaccines on bacterial meningitis worldwide. Lancet. 2012;380(9854):1703–11.

    Article  PubMed  Google Scholar 

  7. Koelman DLH, Brouwer MC, Ter Horst L, Bijlsma MW, van der Ende A, van de Beek D. Pneumococcal meningitis in adults: a prospective nationwide cohort study over a 20-year period. Clin Infect Dis. 2022;74(4):657–67.

    Article  CAS  PubMed  Google Scholar 

  8. Koelman DLH, van Kassel MN, Bijlsma MW, Brouwer MC, van de Beek D, van der Ende A. Changing epidemiology of bacterial meningitis since introduction of conjugate vaccines: 3 decades of national meningitis surveillance in The Netherlands. Clin Infect Dis. 2021;73(5):e1099–107.

    Article  PubMed  Google Scholar 

  9. Zunt JR, Kassebaum NJ, Blake N, Glennie L, Wright C, Nichols E, et al. Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology. 2018;17(12):1061–82.

    Article  Google Scholar 

  10. Bodilsen J, Dalager-Pedersen M, Schønheyder HC, Nielsen H. Time to antibiotic therapy and outcome in bacterial meningitis: a Danish population-based cohort study. BMC Infect Dis. 2016;16:392.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Auburtin M, Wolff M, Charpentier J, Varon E, Le Tulzo Y, Girault C, et al. Detrimental role of delayed antibiotic administration and penicillin-nonsusceptible strains in adult intensive care unit patients with pneumococcal meningitis: the PNEUMOREA prospective multicenter study. Crit Care Med. 2006;34(11):2758–65.

    Article  CAS  PubMed  Google Scholar 

  12. Castelblanco RL, Lee M, Hasbun R. Epidemiology of bacterial meningitis in the USA from 1997 to 2010: a population-based observational study. Lancet Infect Dis. 2014;14(9):813–9.

    Article  PubMed  Google Scholar 

  13. Brouwer MC, McIntyre P, de Gans J, Prasad K, van de Beek D. Corticosteroids for acute bacterial meningitis. Cochrane Database Syst Rev. 2010;9:4405Cd004405.

    Google Scholar 

  14. Heckenberg SG, Brouwer MC, van der Ende A, van de Beek D. Adjunctive dexamethasone in adults with meningococcal meningitis. Neurology. 2012;79(15):1563–9.

    Article  CAS  PubMed  Google Scholar 

  15. Lees JA, Ferwerda B, Kremer PHC, Wheeler NE, Serón MV, Croucher NJ, et al. Joint sequencing of human and pathogen genomes reveals the genetics of pneumococcal meningitis. Nat Commun. 2019;10(1):2176.

    Article  PubMed  PubMed Central  Google Scholar 

  16. van de Beek D, de Gans J, Tunkel AR, Wijdicks EFM. Community-Acquired Bacterial Meningitis in Adults. N Engl J Med. 2006;354(1):44–53.

    Article  PubMed  Google Scholar 

  17. 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(Suppl 3):S37-62.

    Article  PubMed  Google Scholar 

  18. Waqar U, Arshad A, Ayaz A, Tahir MS, Khan DA, Martins RS, et al. Risk factors for intensive care unit admission and mortality among adult meningitis patients. J Pak Med Assoc. 2022;72(7):1460–6.

    PubMed  Google Scholar 

  19. Auburtin M, Porcher R, Bruneel F, Scanvic A, Trouillet JL, Bédos JP, et al. Pneumococcal meningitis in the intensive care unit: prognostic factors of clinical outcome in a series of 80 cases. Am J Respir Crit Care Med. 2002;165(5):713–7.

    Article  PubMed  Google Scholar 

  20. Fernandes D, Gonçalves-Pereira J, Janeiro S, Silvestre J, Bento L, Póvoa P. Acute bacterial meningitis in the intensive care unit and risk factors for adverse clinical outcomes: retrospective study. J Crit Care. 2014;29(3):347–50.

    Article  CAS  PubMed  Google Scholar 

  21. Flores-Cordero JM, Amaya-Villar R, Rincón-Ferrari MD, Leal-Noval SR, Garnacho-Montero J, Llanos-Rodríguez AC, Murillo-Cabezas F. Acute community-acquired bacterial meningitis in adults admitted to the intensive care unit: clinical manifestations, management and prognostic factors. Intensive Care Med. 2003;29(11):1967–73.

    Article  PubMed  Google Scholar 

  22. Spanos A, Harrell FE Jr, Durack DT. Differential diagnosis of acute meningitis: an analysis of the predictive value of initial observations. JAMA. 1989;262(19):2700–7.

    Article  CAS  PubMed  Google Scholar 

  23. McMillan T, Wilson L, Ponsford J, Levin H, Teasdale G, Bond M. The glasgow outcome scale—40 years of application and refinement. Nat Rev Neurol. 2016;12(8):477–85.

    Article  PubMed  Google Scholar 

  24. Rubin DB. Multiple Imputation for Nonresponse in Surveys. Hoboken: Wiley; 2004.

    Google Scholar 

  25. Ellis J, Harvey D, Defres S, Chandna A, MacLachlan E, Solomon T, et al. Clinical management of community-acquired meningitis in adults in the UK and Ireland in 2017: a retrospective cohort study on behalf of the national infection trainees collaborative for audit and research (NITCAR). BMJ Open. 2022;12(7): e062698.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Tubiana S, Varon E, Biron C, Ploy MC, Mourvillier B, Taha MK, et al. Community-acquired bacterial meningitis in adults: in-hospital prognosis, long-term disability and determinants of outcome in a multicentre prospective cohort. Clin Microbiol Infect. 2020;26(9):1192–200.

    Article  CAS  PubMed  Google Scholar 

  27. Wilcox ME, Rowan KM, Harrison DA, Doidge JC. Does unprecedented ICU capacity strain, as experienced during the COVID-19 pandemic, impact patient outcome? Crit Care Med. 2022;50(6):e548–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Clough JD, Kay R, Gombeski WR Jr, Nickelson DE, Loop FD. Mortality of patients transferred to a tertiary care hospital. Cleve Clin J Med. 1993;60(6):449–54.

    Article  CAS  PubMed  Google Scholar 

  29. Weisfelt M, van de Beek D, Spanjaard L, Reitsma JB, de Gans J. Clinical features, complications, and outcome in adults with pneumococcal meningitis: a prospective case series. Lancet Neurol. 2006;5(2):123–9.

    Article  PubMed  Google Scholar 

  30. van Veen KEB, Brouwer MC, van der Ende A, van de Beek D. Bacterial meningitis in alcoholic patients: a population-based prospective study. J Infect. 2017;74(4):352–7.

    Article  PubMed  Google Scholar 

  31. Zoons E, Weisfelt M, de Gans J, Spanjaard L, Koelman JH, Reitsma JB, van de Beek D. Seizures in adults with bacterial meningitis. Neurology. 2008;70(22 Pt 2):2109–15.

    Article  CAS  PubMed  Google Scholar 

  32. de Gans J, van de Beek D. Dexamethasone in adults with bacterial meningitis. N Engl J Med. 2002;347(20):1549–56.

    Article  PubMed  Google Scholar 

  33. de Jonge RC, van Furth AM, Wassenaar M, Gemke RJ, Terwee CB. Predicting sequelae and death after bacterial meningitis in childhood: a systematic review of prognostic studies. BMC Infect Dis. 2010;10:232.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Koopmans MM, Bijlsma MW, Brouwer MC, van de Beek D, van der Ende A. Listeria monocytogenes meningitis in the Netherlands, 1985–2014: a nationwide surveillance study. J Infect. 2017;75(1):12–9.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Koopmans MM, Brouwer MC, Vázquez-Boland JA, van de Beek D. Human Listeriosis. Clin Microbiol Rev. 2023;36(1): e0006019.

    Article  PubMed  Google Scholar 

  36. Kremer PH, Lees JA, Koopmans MM, Ferwerda B, Arends AW, Feller MM, et al. Benzalkonium tolerance genes and outcome in Listeria monocytogenes meningitis. Clin Microbiol Infect. 2017;23(4):265.e1-e7.

    Article  Google Scholar 

  37. Koopmans MM, Brouwer MC, Bijlsma MW, Bovenkerk S, Keijzers W, van der Ende A, van de Beek D. Listeria monocytogenes sequence type 6 and increased rate of unfavorable outcome in meningitis: epidemiologic cohort study. Clin Infect Dis. 2013;57(2):247–53.

    Article  PubMed  Google Scholar 

  38. Fowler RA, Ping Li P, Juurlink DN, Ruxandra Pinto P, Hladunewich MA, et al. Sex-and age-based differences in the delivery and outcomes of critical care. Can Med Assoc J. 2007;177(12):1513–9.

    Article  Google Scholar 

  39. Dias SP, Brouwer MC, van de Beek D. Sex and gender differences in bacterial infections. Infect Immun. 2022;90(10): e0028322.

    Article  PubMed  Google Scholar 

  40. Todorov A, Kaufmann F, Arslani K, Haider A, Bengs S, Goliasch G, et al. Gender differences in the provision of intensive care: a Bayesian approach. Intensive Care Med. 2021;47(5):577–87.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Dias SP, Brouwer MC, Bijlsma MW, van der Ende A, van de Beek D. Sex-based differences in adults with community-acquired bacterial meningitis: a prospective cohort study. Clin Microbiol Infect. 2017;23(2):121.e9-e15.

    Article  Google Scholar 

  42. Dias SP, Brouwer MC, van de Beek D. Sex-based differences in the response to dexamethasone in bacterial meningitis: analysis of the European dexamethasone in adulthood bacterial meningitis study. Br J Clin Pharmacol. 2020;86(2):386–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Dias SP, Brouwer MC, Boelen A, van de Beek D. Cerebrospinal fluid sex steroid hormones in bacterial meningitis. Medicine. 2022;101(36): e30452.

    Article  CAS  PubMed  Google Scholar 

  44. van de Beek D, Brouwer M, Hasbun R, Koedel U, Whitney CG, Wijdicks E. Community-acquired bacterial meningitis. Nat Rev Dis Primers. 2016;2:16074.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Our thanks go out to our colleagues at the Netherlands Reference Laboratory of Bacterial Meningitis, and all the physicians at the participating hospitals for their contribution.

Funding

This work was supported by the Netherlands Organization for Health Research and Development (ZonMw; NWO-Vidi Grant [917.17.308] to M.C.B; NWO-Vici-Grant [grant number 918.19.627 to D. B.]) and the European Research Council (ERC Consolidator grant to M.C.B., ERC Starting grant to D. B.). The Netherlands Reference laboratory for bacterial Meningitis is supported by the National Institute of Public health and the Environmental Protection, Bilthoven.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to data collection, study conception and design. NC, MK and MB analysed data. All authors contributed to the interpretation of data. The first draft of the manuscript was written by NC and MK, and all authors commented on previous versions of the manuscript. All authors contributed to revision of the final version of the manuscript.

Corresponding author

Correspondence to Diederik van de Beek.

Ethics declarations

Ethics approval and consent to participate

This study was approved by Medical Ethical Review Committee of the Amsterdam UMC (number METC 2013_043). The procedures used in this study adhere to the tenets of the Declaration of Helsinki. Written informed consent was obtained from all participants or their representatives.

Consent for publication

Not applicable.

Competing interests

No potential competing interests relevant to this article exist.

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: Figure S1.

Proportion of bacterial meningitis episodes initially admitted to the intensive care unit (ICU; blue line), and the proportion of unfavourable outcome (red line) per year (+ 95% confidence interval). Year is calculated as epidemiological year (from June to July). Unfavourable outcome is defined as Glasgow Outcome Scale score between 1 and 4. Significant decrease in ICU proportion in 2020 (p = 0.004), trend towards an increased proportion of unfavourable outcome (p = 0.17).

Additional file 2: Table S1.

Comparison of baseline and outcome characteristics of the initial ICU cohorts of 2020 versus 2015-2019. Table S2. Prognostic factors for initial intensive care unit (ICU) admission in all bacterial meningitis episodes (N = 2709). Table S3. Baseline and clinical characteristics of episodes transferred to ICU later during admission (N = 204).

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

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chekrouni, N., Kroon, M., Drost, E.H.G.M. et al. Characteristics and prognostic factors of bacterial meningitis in the intensive care unit: a prospective nationwide cohort study. Ann. Intensive Care 13, 124 (2023). https://doi.org/10.1186/s13613-023-01218-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13613-023-01218-6

Keywords