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. 2019 Jun 7;12:1501–1512. doi: 10.2147/IDR.S193671

Prognostic factors in pediatric pneumococcal meningitis patients in mainland China: a retrospective multicenter study

Caiyun Wang 1, Hongmei Xu 2, Jikui Deng 3, Hui Yu 4, Yiping Chen 5, Shifu Wang 6, Weichun Huang 7, Jianhua Hao 8, Chun Wang 9, Huiling Deng 10, Yinghu Chen 1,
PMCID: PMC6560191  PMID: 31239727

Abstract

Background: Prognosis of pneumococcal meningitis (PM) remains very poor, especially in less developed countries. Currently, few multi-centric studies on pediatric PM have been reported in mainland China.

Objectives: This study aimed to explore the correlation of clinical and laboratory findings with complications and prognosis in pediatric PM.

Methods: The pediatric PM patients were retrospectively recruited from ten pediatric tertiary hospitals across China between January 2013 and June 2018. Clinical, biochemical, and microbiological data and follow-up information were collected. Predictive factors for complications and prognostic factors for overall survival (OS) and sequelae-free survival (SFS) were analyzed.

Results: A total of 132 pediatric PM patients were included. Seventy-one patients had complications, 25 patients died, and 39 patients had neurological sequelae. Multivariate logistic regression suggested that age less than 28 months (adjusted OR=2.654, 95%CI=1.067–6.600, P=0.036) and lower white blood cells in blood (aOR=3.169, 95%CI=1.395–7.202, P=0.006) were associated with high risk of complications. Multivariate Cox’s proportional hazard regression suggested that age less than 28 months (aHR=6.479, 95%CI=1.153–36.404, P=0.034), coma (aHR=9.808, 95%CI=2.802–34.323, P=0.000), and non-adjuvant steroid therapy (aHR=4.768 95%CI=1.946–11.678, P=0.001) were independent prognostic factors for poor OS; coma (aHR=5.841, 95%CI=2.652–12.864, P=0.000), septic shock on admission (aHR=2.949, 95%CI=1.049–8.290, P=0.040), and lower glucose level in cerebrospinal fluid (CSF) (aHR=2.523, 95%CI=1.336–4.765, P=0.004) were independent prognostic factors for poor SFS.

Conclusion: Age, coma, and adjuvant steroid therapy were independent factors for OS, while coma, septic shock on admission, and lower glucose level in CSF were independent factors for SFS in pediatric PM patients. These factors might be used to identify PM patients with poor prognosis and guide individual treatment.

Keywords: pneumococcal meningitis, clinical findings, complication, prognosis, pediatric

Introduction

Streptococcus pneumoniae is a common cause of meningitis and pneumococcal meningitis (PM) accounts for 50% of bacterial meningitis globally.1,2 PM is also a common bacterial meningitis in China.3 Most PM patients present with a headache, neck stiffness, and fever.4 Culture of cerebrospinal fluid (CSF) obtained from a lumbar puncture should be performed to confirm the diagnosis of PM.

In spite of progress in diagnosis, antibiotic therapy strategies, and intensive care, PM is associated with a mortality rate of 6%–17% in high-income countries including US and some European countries.58 However, in developing countries and regions such as sub-Saharan Africa, the mortality of PM patients has been reported to be as high as 73%.7,913 Among surviving patients, 25%–63% suffer from long-term neurological sequelae,5,9,14,15 which significantly affect the quality of life of survivors.

Early identification of patients with poor prognosis contributes to individualized treatment and more aggressive therapeutic strategies. A series of clinical features, biochemical, and microbiological factors have been identified as prognostic factors in PM. The most important prognostic factors associated with mortality of PM patients include C-reactive protein,5 age,16,17 score on SOFA, Glasgow Score, severe hypoglycorrhachia,17 corticosteroid treatment,18 and glucose in CSF.19 And the most important prognostic factors in relation to neurological handicaps seem to be hypoglycorrhachia,2024 shock, coma and convulsions on admission or during hospitalization,25 mechanical ventilation requirement, late diagnosis, ataxia, and steroid treatment.26

However, these studies are mainly performed in European and American countries and limited to a few research centers. Further multicenter research is required to verify the prognostic value of these factors and improve clinical management of PM patients in mainland China. The present study aimed to recruit pediatric PM patients retrospectively from multiple hospitals in mainland China and investigate the risk factors of complications as well as the prognostic factors of overall survival (OS) and neurological sequelae-free survival (SFS) in pediatric PM patients.

Methods

Participants

A multicenter retrospective study was performed to consecutively recruit pediatric PM patients between January 2013 to June 2018 from ten pediatric tertiary hospitals in eight regions in mainland China (Shanghai, Hangzhou, Wenzhou, Xi’an, Chongqing, Shenzhen, Shandong, and Kaifeng).

Patient inclusion and exclusion criteria

Inclusion criteria: 1) age less than 5 years; 2) compatible with PM diagnosis criteria. Exclusion criteria: 1) patients with known primary immunodeficiency (including humoral immunity disorders, T-cell and B-cell disorders, phagocytic disorders, and complement disorders) or known secondary immunodeficiency (including human immunodeficiency virus infection, nephrotic syndrome, diabetes, etc); 2) patients had no cranial computed tomography (CT) and magnetic resonance imaging (MRI) results. The diagnostic criteria of PM were as follows: 1) clinical signs and symptoms (bulging fontanelles, stiff or painful neck, vomiting, headache, persistent or recurrent fever, change in mental state, seizures, or focal neurologic signs) that comply with meningitis; 2) the results of CSF examination were abnormal (the white blood cell [WBC] count in CSF was more than 10×106/L, in which the neutrophil should be dominant, or the glucose level in CSF was less than 2.78 mmol/L, or the protein level in CSF was more than 0.45 g/L; 3) positive blood culture for S. pneumoniae with positive DNA testing of S. pneumoniae in CSF, or positive CSF culture for S. pneumoniae.

Identification of S. pneumoniae isolates

S. pneumoniae isolate was identified by automatic bacterial identification system (VITEK Compact, France) or Optochin Discs (OXOID, UK) according to the National Guide to Clinical Laboratory Procedures.

Data collection

Case record forms were used to collect data of patients’ history, symptoms and signs, laboratory and microbiological findings, clinical course, complications in hospital, vaccination status, treatment, clinical outcome, neurological deficits at discharge, and follow-up visits from the ten hospitals listed in the affiliations. Underlying predisposing factors, including asplenia, history of head trauma or neurosurgery in the past 3 months, anatomical or infectious otorhinolaryngologic disorders, and immunocompromised status, were recorded. Patients with an altered immune status owing to the use of immunosuppressive drugs or splenectomy, diabetes mellitus were considered immunocompromised. Consciousness of the patients was accessed by Glasgow Coma Scale and grouped into normal, decline in consciousness, and coma.

Follow-up

PM patients were followed-up every month in the first year, and every 6 months thereafter. The last follow-up date was September 30, 2018. OS was calculated from the onset date to the time of death of any cause while SFS was calculated from the onset date to the time of neurological deficits or death of any cause. Assessment was performed by a senior, experienced physician. We called the families to come to hospital for a follow-up visit to complete pediatric exam with a potential neuropsychological assessment. A telephone-based interview was suggested to the families who could not come to hospital. Physical examination, Gesell Development Scale test (<3 years and 10 months), Wechsler Intelligence Scale test (≥3 years and 10 months), and Behavior Questionnaire test (≥2 years) were performed. Neurological sequela was evaluated according to the patients’ last results of brain MRI, brainstem auditory evoked potential (BAEP), auditory brainstem response, and visual acuity. Neurological deficits included seizures, hemiparesis, ataxia, hydrocephalus and subdural hydrops or empyema, psychomotor retardation, hearing impairment, and visual impairment. Psychomotor retardation was indicated if gross-motor functions (neck control, sitting, walking, running, etc), fine-motor functions (reaching, grasping, drawing, etc), and activities of daily living (toileting, dressing, eating, writing, etc) were affected. Hearing was considered as impaired when the better ear failed to detect a threshold of 40 dB. Visual impairment was noted if the routine ophthalmic examination results of vision, visual field, fundus oculi, and eye movement were abnormal.

Statistics

Statistical analysis was performed using SPSS 19.0 software (IBM Corporation, Armonk, NY, USA) and GraphPad Prism 6 software (GraphPad Software, Inc., La Jolla, CA, USA). Data were presented as count (%), or median (interquartile range [IQR]). X-title software was used to obtain the best optimal cut-off values of the continuous variables based on prognosis. Chi-squared test and logistic regression analysis were used to investigate the associations of clinical characteristics and laboratory parameters with complications. Kaplan-Meier curves with logrank test and Cox’s proportional hazard regression were applied to assess the associations of clinical characteristics and laboratory parameters with prognosis. P-value <0.05 was considered significant.

Results

Baseline clinical characteristics

Data from one hundred and sixty-one pediatric patients diagnosed with PM were collected from ten pediatric tertiary hospitals across China. Twenty-nine patients were excluded due to primary or secondary immunodeficiency, or age more than 5 years and 132 patients were finally included (Figure 1). As shown in Table 1, of the 132 patients, 88 were male and 44 were female. The median age of the patients was 13 months. Lumbar puncture was performed in all patients. Seventy-sixcases had a positive CSF culture for S. pneumoniae, 31 cases had a positive blood culture for S. pneumoniae with a positive DNA testing of S. pneumoniae in CSF, and 25 cases had both positive CSF culture and positive blood culture for S. pneumoniae. All patients had signs of meningitis.

Figure 1.

Figure 1

Flowchart of pediatric pneumococcal meningitis (PM) patients' inclusion.

Table 1.

Clinical baseline characteristics, laboratory findings, and neurological sequelae of patients with PM

Characteristic Cases n (%) Characteristic Cases n (%)
Total 132(100)
Sex Neurological findings on admission
 Male 88(66.7) Triad syndrome 22(16.7)
 Female 44(33.3) Abnormal mental status 46(34.8)
Age Coma 20(15.2)
Median age (IQR, months) 13(28) Convulsions on admission 49(37.1)
≤28 months 94(71.2) Laboratory findings
>28 months 38(28.8) Positive CSF culture 76(57.6)
Hospital stay Positive blood culture 31(23.5)
Median time (IQR, days) 22(18) Positive CSF and blood culture 25(18.9)
Symptoms and signs on admission WBCs in blood (median, IQR, ×109/L) 14.5(14.7)
Headache 33(25.0) Neutrophil proportion in blood (median, IQR, %) 78.5(17.5)
Nausea 80(60.6) C-Reactive Protein (median, IQR, mg/L) 95.8(111.1)
Neck stiffness 68(51.5) WBCs in CSF (median, IQR, ×106/L) 400.0(1756.0)
Bulging fontanelles 27(20.5) Neutrophil proportion in CSF (median, IQR, %) 80.0(12.8)
Fever 129(97.7) Protein in CSF (median, IQR, g/L) 1.4 (2.6)
Septic shock 7(5.3) Glucose in CSF (median, IQR, mmol/L) 1.1 (1.9)
Mechanical ventilation 17(11.4) Focal neurological deficits n=107 39(29.5)
Multiple organ failure 5(3.8) Hypophrenia or behavioral deficits 18(13.6)
Respiratory failure 9(6.8) Aphasia 17(12.9)
Predisposing factorsa n=34 34(25.8) Dyskinesia 13(9.8)
Recent or remote cerebral trauma 11(8.3) Hearing impairment 12(9.1)
CSF leakage 13(9.8) Hydrocephalus 8(6.1)
Previous history of meningitis 6(4.5) Hemiparesis 8(6.1)
Intracranial structure malformation 5(3.8) Cranial nerve palsies 5(3.8)
Previous intracranial surgeryb 4(3.0) Secondary epilepsy 4(3.0)
Craniotomy 4(3.0) Quadriplegia 3(2.3)
Concomitant diseases n=84 84(63.6) Subdural effusion or abscess 2(1.5)
Pneumonia 49(37.1) Visual impairment 2(1.5)
Sinusitis 22(16.7) Cerebellar ataxia 1(0.8)
Mastoiditis 24(18.2) Hypothalamus ataxia 1(0.8)
Otitis 5(3.8)
Ear or intracranial abnormalities 8(6.1)

Notes: aPredisposing diseases were defined as previous head trauma, history of intracranial surgery, dura disruption, ear or intracranial abnormalities etc. bIntracranial surgery (ventriculostomy, cochlear implantation, ventriculoperitoneal shunt, removal of lateral ventricular reservoir sac, cranioplasty, etc.)

Abbreviations: PM, pneumococcal meningitis; IQR, interquartile range; CSF, cerebrospinal fluid; WBC, white blood cell.

An amount of 25.8% (34/132) of patients had predisposing factors for PM including cerebral trauma in eleven (8.3%), CSF leakage in 13 (9.8%), history of meningitis (ie, the patient had meningitis previously) in six (4.5%), intracranial structure malformation in five (3.8%), history of intracranial surgery in four (3.0%), and craniotomy in four (3.0%) (Table 1). Eighty-four PM patients were combined with other concomitant diseases including pneumoniae, mastoiditis, sinusitis, otitis, and ear or intracranial abnormalities. Fever and vomiting were the most frequent symptoms and signs on admission (97.7% and 60.6%, respectively). The consciousness status was altered in 46 patients on admission, of which 20 (15.2%) were in a coma.

Laboratory examination results were collected from medical records before or at admission. The medians of WBC counts, protein level in CSF, and glucose level in CSF were 14.5×109/L (IQR: 14.7×109/L), 1.4 g/L (IQR: 2.6 g/L), and 1.1 mmol/L (IQR: 1.9 mmol/L), respectively.

Complications and follow-up

PM complications were found in 53.8% (71/132) of patients by cranial CT and MRI (Table 2). Subdural effusion, sinusitis or otitis, cerebritis, cerebral edema, hydrocephalus, intracranial hemorrhage, and empyema or abscess were the most common abnormalities and present in 47 (35.6%), 35 (26.5%), 29 (22.0%), 22 (16.7%), 17 (12.9%), 15 (11.4%), and 12 (9.1%) patients, respectively. Forty-one patients were associated with more than one abnormality. Twenty-five patients (18.9%) died – all during hospitalization. Nine died within 1 week and 16 patients died 1–4 weeks after admission. The predefined neurological sequelae were evaluated in the 107 survivors during follow-up and identified in 39 patients. Hypophrenia or behavioral deficits, aphasia, dyskinesia, hearing impairment, and hydrocephalus were common focal neurological sequelae and present in 18 (13.6%), 17 (12.9%), 13 (9.8%), 12 (9.1%), and 8 (6.1%) patients of the 107 survivors, respectively (Table 1).

Table 2.

Complications of 132 pediatric pneumococcal meningitis patients on admission and during hospitalization examined by cranial computed tomography (CT) or magnetic resonance imaging (MRI) for

Characteristic Patients n (%)a
Total number of abnormalitiesb 71(53.8)
 Subdural effusion 47(35.6)
 Sinusitis or otitis 35(26.5)
 Cerebritis 29(22.0)
 Cerebral edema 22(16.7)
 Hydrocephalus 17(12.9)
 Intracranial hemorrhage 15(11.4)
 Empyema or abscess 12(9.1)
 Cerebral atrophy 7(5.3)
 Skull fracture 7(5.3)
 Cerebral hernia 5(3.8)
 Brain infarction 4(3.0)
 Arachnoid cyst 3(2.3)
 Other abnormalitiesc 7(5.3)

Notes: aData are numbers (%). Percentages are calculated per number of episodes with cranial CT or MRI undertaken. bNumbers do not add up to totals because of the presence of multiple abnormalities in several patients. cMiddle ear malformation in three, pneumocephalus in two, meningioma in one, and cerebral vascular malformation in one.

Associations of clinical findings and laboratory parameters with complications

Chi-squared test was used to investigate the associations of clinical findings and laboratory parameters with complications and the results suggested that age less than 28 months, visual impairment, convulsions on admission, lower WBCs in blood, and predisposing factors were associated with complications in pediatric PM patients (Table 3). Further multivariate logistic regression analysis revealed that age less than 28 months (aOR=2.654, 95%CI=1.067–6.600, P=0.036) and lower WBCs in blood (aOR=3.169, 95%CI=1.395–7.202, P=0.006) were independent predictive factors for complications in pediatric PM patients (Table 4).

Table 3.

Associations of the clinical features with complications in pediatric PM patients analyzed by chi-squared test

Parameters Subgroups Complications Chi-squared P-value
NO YES
Sex Male 21 23 0.061 0.805
Female 40 48
Age ≤28 months) 34 60 13.247 0.000
>28 months 27 11
Duration of disease ≤4 days 37 48 0.691 0.406
>4 days 24 23
Consciousness state Normal 44 42 2.488 0.288
Decline in consciousness 10 16
Coma 7 13
Convulsions on admission NO 46 36 8.511 0.004
YES 15 35
Respiratory failure NO 56 67 0.339 0.560
YES 5 4
MODS NO 59 68 0.081 0.776
YES 2 3
Mechanical ventilation NO 56 61 1.129 0.288
YES 5 10
Septic shock on admission NO 58 67 0.033 0.855
YES 3 4
Adjuvant steroid therapy NO 16 18 0.013 0.909
YES 45 53
Antibiotics treatment Early 15 12 1.192 0.275
Late 46 59
WBCs in blood High 48 36 11.104 0.001
Low 13 35
WBCs in CSF High 15 18 0.010 0.920
Low 40 50
Glucose in CSF High 24 28 0.000 0.991
Low 37 43
Protein in CSF Low 28 38 1.515 0.218
High 29 25
Predisposing factors NO 22 12 6.301 0.012
YES 39 59
Concomitant disease NO 38 46 0.030 0.863
YES 22 25

Note: Bold, indicates P<0.05.

Abbreviations: PM, pneumococcal meningitis; MODS, multiple organ dysfunction syndrome; CSF, cerebrospinal fluid; WBC, white blood cell.

Table 4.

Associations of the clinical features with complications in pediatric PM patients analyzed by multivariate logistic regression

Parameters P-value OR 95%CI
Age (≤28 months vs >28 months) 0.036 2.654 1.067 6.600
Convulsions on admission (YES vs NO) 0.156 1.823 0.795 4.181
WBCs in blood (low vs high) 0.006 3.169 1.395 7.202
Predisposing factors (YES vs NO) 0.150 1.946 0.785 4.825

Note: Bold, indicates P<0.05.

Abbreviations: PM, pneumococcal meningitis; WBC, white blood cell.

Associations of clinical findings and laboratory parameters with accumulating OS

Kaplan-Meier plot curves and univariate Cox’s proportional hazard regression were used to investigate the associations of clinical findings and laboratory parameters with accumulating OS and the results suggested that female sex, age less than 28 months (Figure 2A), coma (Figure 2B), convulsions on admission, respiratory failure, multiple organ dysfunction syndrome (MODS) (omit RF), ventilation, septic shock, non-adjuvant steroid therapy (Figure 2C), and higher protein level in CSF were associated with shorter OS in pediatric PM patients (Table 5). Further multivariate Cox’s proportional hazard regression revealed that age less than 28 months (aHR=6.479, 95%CI=1.153–36.404, P=0.034), coma (aHR=9.808, 95%CI=2.802–34.323, P=0.000), and non-adjuvant steroid therapy (aHR=4.768 95%CI=1.946–11.678, P=0.001) were independent prognostic factors for poor OS in pediatric PM patients (Table 5).

Figure 2.

Figure 2

Associations of clinical characteristics with accumulating overall survival in pediatric pneumococcal meningitis (PM) patients were analyzed by Kaplan-Meier plot curves and logrank test. (A) age; (B) consciousness; (C) steroid therapy.

Table 5.

Associations of the clinical features with accumulating OS in pediatric PM patients analyzed by Cox’s proportional hazard regression

Parameters Univariate analysis Multivariate analysis
P-value HR 95%CI P-value HR 95%CI
Sex (female vs male) 0.010 2.812 1.276 6.199 0.189 1.774 0.754 4.171
Age (≤28 months vs >28 months) 0.028 5.032 1.186 21.346 0.034 6.479 1.153 36.404
Duration of disease (>4 days vs ≤4 days) 0.189 1.692 0.772 3.709
Complications (YES vs NO) 0.473 0.750 0.342 1.645
Consciousness state 0.000 0.002
Normal Ref Ref.
Decline in consciousness 0.202 2.071 0.678 6.332 0.079 2.916 0.882 9.643
Coma 0.000 10.641 4.321 26.201 0.000 9.808 2.802 34.323
Convulsions on admission (YES vs NO) 0.043 2.258 1.025 4.976 0.205 0.442 0.125 1.560
Respiratory failure (YES vs NO) 0.000 8.988 3.705 21.806 0.396 1.903 0.431 8.401
MODS (YES vs NO) 0.001 6.363 2.170 18.659 0.326 1.808 0.555 5.888
Mechanical ventilation (YES vs NO) 0.000 5.781 2.547 13.124 0.194 2.572 0.619 10.683
Septic shock on admission (YES vs NO) 0.000 14.465 5.519 37.914 0.053 3.927 0.983 15.693
Adjuvant steroid therapy (NO vs YES) 0.000 4.491 2.036 9.906 0.001 4.768 1.946 11.678
Antibiotics treatment (late vs early) 0.531 1.408 0.483 4.102
WBCs in blood (low vs high) 0.174 1.723 0.786 3.776
WBCs in CSF (low vs high) 0.144 2.054 0.782 5.399
Glucose in CSF (low vs high) 0.147 1.990 0.785 5.049
Protein in CSF (high vs low) 0.034 2.536 1.074 5.984 0.953 1.039 0.292 3.693
Concomitant disease (YES vs NO) 0.065 2.512 0.943 6.696
Predisposing factors (YES vs NO) 0.780 0.883 0.369 2.114

Note: Bold, indicates P<0.05.

Abbreviations: OS, overall survivalPM, pneumococcal meningitis; MODS, multiple organ dysfunction syndrome; CSF, cerebrospinal fluid; WBC, white blood cell.

Correlation of clinical findings and laboratory parameters with accumulating SFS

Associations of clinical findings and laboratory parameters with accumulating SFS were also explored. The Kaplan-Meier curves and univariate Cox’s proportional hazard regression suggested that coma (Figure 3A), convulsions on admission, respiratory failure, MODS (omit RF), mechanical ventilation, septic shock on admission (Figure 3B), non-adjuvant steroid therapy, and lower glucose level in CSF (Figure 3C) were associated with shorter SFS (Table 6). After adjusting the confounding factors, coma (aHR=5.841, 95%CI=2.652–12.864, P=0.000), septic shock on admission (aHR=2.949, 95%CI=1.049–8.290, P=0.040), and lower glucose level in CSF (aHR=2.523, 95%CI=1.336–4.765, P=0.004) were found to be independent prognostic factors for unfavorable SFS in multivariate analyses (Table 6).

Figure 3.

Figure 3

Associations of clinical characteristics and laboratory parameters with accumulating sequelae-free survival in pediatric pneumococcal meningitis (PM) patients were analyzed by Kaplan-Meier plot curves and logrank test. (A) Consciousness; (B) septic shock; (C) glucose in cerebrospinal fluid (CSF).

Table 6.

Associations of the clinical features with accumulating SFS analyzed by Cox’s proportional hazard regression

Parameters Univariate analysis Multivariate analysis
P-value HR 95%CI P-value HR 95%CI
Sex (female vs male) 0.521 1.184 0.706 1.985
Age (≤28 months vs >28 months) 0.181 1.485 0.832 2.650
Duration of disease (>4 days vs ≤4 days) 0.064 1.593 0.973 2.609
Complications (YES vs NO) 0.457 1.208 0.735 1.984
Consciousness state 0.000 0.000
 Normal Ref Ref
 Decline in consciousness 0.079 1.735 0.939 3.207 0.080 1.789 0.932 3.434
 Coma 0.000 4.971 2.732 9.046 0.000 5.841 2.652 12.864
Convulsions on admission (YES vs NO) 0.050 1.638 1.001 2.683 0.915 1.034 0.559 1.912
Respiratory failure (YES vs NO) 0.000 4.337 2.037 9.233 0.566 1.413 0.433 4.607
MODS (YES vs NO) 0.003 4.041 1.591 10.260 0.209 1.868 0.704 4.954
Mechanical ventilation (YES vs NO) 0.008 2.404 1.252 4.618 0.783 1.148 0.430 3.060
Septic shock on admission (YES vs NO) 0.000 5.446 2.307 12.858 0.040 2.949 1.049 8.290
Adjuvant steroid therapy (NO vs YES) 0.030 1.785 1.058 3.011 0.055 1.771 0.989 3.173
Antibiotics treatment (late vs early) 0.425 0.794 0.450 1.399
WBCs in blood (low vs high) 0.059 1.610 0.982 2.641
WBCs in CSF (low vs high) 0.062 1.695 0.974 2.950
Glucose in CSF (low vs high) 0.004 2.345 1.304 4.217 0.004 2.523 1.336 4.765
Protein in CSF (high vs low) 0.318 1.301 0.777 2.178
Concomitant disease (YES vs NO) 0.848 1.051 0.633 1.744
Predisposing factors (YES vs NO) 0.990 0.997 0.566 1.755

Note: Bold, indicates P<0.05.

Abbreviations: SFS, sequelae-free survival; PM, pneumococcal meningitis; MODS, multiple organ dysfunction syndrome; CSF, cerebrospinal fluid; WBC, white blood cell.

Discussion

In the present multicenter study, we included 132 pediatric patients and revealed that the overall mortality of these patients was 18.9% and the rate of focal neurological sequelae 36.4%, which were higher than that observed in US or European populations.58,17,25,27,28 A meta-analysis in 1993, including mainly US and European cohorts, revealed a mortality rate of 4.8%–8.1% and a neurological handicap rate of 16%–26% in pediatric PM patients. Another meta-analysis in 2014, performed in Latin American and Caribbean populations, suggested that the mortality rate of pediatric PM patents was 8.3%.30 In developing countries and regions such as sub-Saharan Africa, the mortality of PM patients has been reported to be as high as 73%.7,913 The mortality of pediatric PM patients in China was higher than US or European cohorts but lower than African cohorts. The higher mortality and neurological sequelae rates emphasized the need to identify early prognostic factors for pediatric PM patients.

Of the 132 pediatric PM patients in the study, meningitis-associated intracranial complications were found in 53.8% patients by cranial CT or MRI. The most common intracranial complications were subdural effusion, cerebritis, cerebral edema, and hydrocephalus. The prevalence of cerebritis and hydrocephalus in our study was higher than adult PM patients in previous study of.31 The prevalence of concomitant diseases was 63.6% in our study and was similar to the results of previous reports.3134

After multivariate analyses of the prognostic factors in predicting complications, OS, and SFS outcomes in pediatric PM patients, we identified that age less than 28 months was associated with complications (aOR=2.654, 95%CI=1.067–6.600, P=0.036) and short OS (aHR=6.479, 95%CI=1.153–36.404, P=0.034), coma on admission was associated with short OS (aHR=9.808, 95%CI=2.802–34.323, P=0.000) and SFS (aHR=5.841, 95%CI=2.652–12.864, P=0.000), non-adjuvant steroid therapy was associated with short OS (aHR=4.768 95%CI=1.946–11.678, P=0.001), and septic shock on admission was associated with poor SFS (aHR=2.949, 95%CI=1.049–8.290, P=0.040). Our results were similar to previous reports.16,17,25,26 According to previous evidence, the CSF of PM patients usually shows aberrant WBC count, protein level, and glucose level, thus we also analyzed the prognostic value of WBCs in blood or CSF, protein in CSF, and glucose in CSF to predict complications, OS, and SFS in pediatric PM patients. Our result suggested that lower WBCs in blood was an independent predictive factor of complications and lower glucose level in CSF was an independent prognostic factor of poor SFS. Leukopenia is reflective of severe sepsis, and lower peripheral blood and CSF WBC counts may indicate inadequacy of the immune response. Chao et al also found an association between lower WBCs in CSF and higher mortality in PM.19 Lower glucose levels in the CSF is correlated with increased inflammation and cytokine levels35 and the inflammatory response is implicated in the pathogenesis of PM and associated brain injury and neuronal death, via releasing potentially cytotoxic agents such as ROS and proteolytic enzymes by leucocytes recruited during the inflammatory response.36 A lower glucose level in CSF can indicate increased central nervous system inflammation, which is expected to result in a higher risk of neurological sequelae and poor SFS in PM patients. High protein levels in CSF are related to more severe inflammatory reactions and immune responses during bacterial meningitis,37,38 and may also be a predictor of later poor outcomes in PM patients, although we only observed an association between protein level in CSF and OS in univariate analysis.

This study is the most comprehensive nationwide, multi-centric study on pediatric PM in mainland China up to date. However, some limitations still existed in our study. Firstly, information on capsular serotyping of the pediatric PM patients in our retrospective study was not available and the associations of serotype distribution with clinical outcomes of the patients were not clear. Secondly, although pneumococcal vaccines have been licensed in mainland China, none of the patients in our study received pneumococcal vaccination, which might also be associated with prognosis in PM patients.

Conclusion

Our study showed that PM is a disease with high mortality and neurological sequelae in pediatric patients, and complications during the clinical course occur frequently. In pediatric PM patients, age less than 28 months and lower WBCs in blood were independent predictive factors for complications; age less than 28 months, coma, and non-adjuvant steroid therapy were independent prognostic factors for poor OS; and coma, septic shock on admission, and lower glucose level in CSF were independent prognostic factors for poor SFS.

Acknowledgments

We would like to thank Aiwei Lin (Qilu Children‘s Hospital of Shandong University), Qing Cao (Shanghai Children‘s Medical Center of Shanghai Jiaotong University School of Medicine), and Ting Zhang (Children’s Hospital of Shanghai Jiaotong University School of Medicine) for re-analyzing the data when revising our manuscript after peer review.

Ethics

The present study was approved by the Ethics Committee of the Children’s Hospital of Zhejiang University School of Medicine. Each PM patient was anonymous in the study and patient/parental consent requirement was waived due to the anonymized data.

Author contributions

Caiyun Wang, Hongmei Xu, Jikui Deng, Hui Yu, Yiping Chen, Shifu Wang, Weichun Huang, Jianhua Hao, Chun Wang, Huiling Deng, and Yinghu Chen designed the study. Caiyun Wang and Yinghu Chen drafted the manuscript. All authors contributed to data analysis, drafting and revising the article. All authors gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Nuoh RD, Nyarko KM, Nortey P, et al. Review of meningitis surveillance data, upper West Region, Ghana 2009-2013. Pan Afr Med J. 2016;25(Suppl 1):9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Thigpen MC, Whitney CG, Messonnier NE, et al. Bacterial meningitis in the United States, 1998-2007. N Engl J Med. 2011;364(21):2016–2025. doi: 10.1056/NEJMoa1007994 [DOI] [PubMed] [Google Scholar]
  • 3.Xie Y, Tan Y, Chongsuvivatwong V, et al. A population-based acute meningitis and encephalitis syndromes surveillance in Guangxi, China, May 2007-June 2012. PLoS One. 2015;10(12):e0144366. doi: 10.1371/journal.pone.0144366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Davis LE. Acute bacterial meningitis. Continuum (Minneap Minn). 2018;24(5, Neuroinfectious Disease):1264–1283. [DOI] [PubMed] [Google Scholar]
  • 5.Buchholz G, Koedel U, Pfister HW, Kastenbauer S, Klein M. Dramatic reduction of mortality in pneumococcal meningitis. Crit Care. 2016;20(1):312. doi: 10.1186/s13054-016-1362-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bijlsma MW, Brouwer MC, Kasanmoentalib ES, et al. Community-acquired bacterial meningitis in adults in the Netherlands, 2006-14: a prospective cohort study. Lancet Infect Dis. 2016;16(3):339–347. doi: 10.1016/S1473-3099(16)30197-9 [DOI] [PubMed] [Google Scholar]
  • 7.McGill F, Heyderman RS, Panagiotou S, Tunkel AR, Solomon T. Acute bacterial meningitis in adults. Lancet. 2016;388(10063):3036–3047. doi: 10.1016/S0140-6736(16)30654-7 [DOI] [PubMed] [Google Scholar]
  • 8.Hasbun R, Rosenthal N, Balada-Llasat JM, et al. Epidemiology of meningitis and encephalitis in the United States, 2011-2014. Clin Infect Dis. 2017;65(3):359–363. doi: 10.1093/cid/cix474 [DOI] [PubMed] [Google Scholar]
  • 9.Stockmann C, Ampofo K, Byington CL, et al. Pneumococcal meningitis in children: epidemiology, serotypes, and outcomes from 1997-2010 in Utah. Pediatrics. 2013;132(3):421–428. doi: 10.1542/peds.2013-0621 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.O‘Brien KL, Wolfson LJ, Watt JP, et al. Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates. Lancet. 2009;374(9693):893–902. doi: 10.1016/S0140-6736(09)61069-2 [DOI] [PubMed] [Google Scholar]
  • 11.Gil Prieto R, San Roman Montero J, Gomez Alejandre C, Alvaro Meca LA, Rivero A, Gil de Miguel A. Epidemiology of pneumococcal meningitis hospitalizations in pediatric population in Spain (1998–2006). Vaccine. 2009;27(20):2669–2673. [DOI] [PubMed] [Google Scholar]
  • 12.Levy C, Varon E, Picard C, et al. Trends of pneumococcal meningitis in children after introduction of the 13-valent pneumococcal conjugate vaccine in France. Pediatr Infect Dis J. 2014;33(12):1216–1221. doi: 10.1097/INF.0000000000000309 [DOI] [PubMed] [Google Scholar]
  • 13.Mortality GBD, Causes of Death C. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117–171. doi: 10.1016/S0140-6736(14)61682-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lucas MJ, Brouwer MC, van de Beek D. Neurological sequelae of bacterial meningitis. J Infect. 2016;73(1):18–27. doi: 10.1016/j.jinf.2016.04.009 [DOI] [PubMed] [Google Scholar]
  • 15.Dorsett M, Liang SY. Diagnosis and treatment of central nervous system infections in the emergency department. Emerg Med Clin North Am. 2016;34(4):917–942. doi: 10.1016/j.emc.2016.06.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Erdem H, Elaldi N, Oztoprak N, et al. Mortality indicators in pneumococcal meningitis: therapeutic implications. Int J Infect Dis. 2014;19:13–19. doi: 10.1016/j.ijid.2013.09.012 [DOI] [PubMed] [Google Scholar]
  • 17.Jordan I, Calzada Y, Monfort L, et al. Clinical, biochemical and microbiological factors associated with the prognosis of pneumococcal meningitis in children. Enferm Infecc Microbiol Clin. 2016;34(2):101–107. doi: 10.1016/j.eimc.2015.03.004 [DOI] [PubMed] [Google Scholar]
  • 18.Brouwer MC, McIntyre P, Prasad K, van de Beek D. Corticosteroids for acute bacterial meningitis. Cochrane Database Syst Rev. 2015;(9):CD004405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Chao YN, Chiu NC, Huang FY. Clinical features and prognostic factors in childhood pneumococcal meningitis. J Microbiol Immunol Infect. 2008;41(1):48–53. [PubMed] [Google Scholar]
  • 20.Pagliano P, Fusco U, Attanasio V, et al. Pneumococcal meningitis in childhood: a longitudinal prospective study. FEMS Immunol Med Microbiol. 2007;51(3):488–495. doi: 10.1111/j.1574-695X.2007.00324.x [DOI] [PubMed] [Google Scholar]
  • 21.Irene Koomen DE, Grobbee JJ, Roord RD, Jennekens-Schinkel A, Van Furth AM. Hearing loss at school age in survivors of bacterial meningitis_ assessment,incidence, and prediction. Pediatrics. 2003;112(5):1049–1053. doi: 10.1542/peds.112.5.1049 [DOI] [PubMed] [Google Scholar]
  • 22.McIntyre PB, Macintyre CR, Gilmour R, Wang H. A population based study of the impact of corticosteroid therapy and delayed diagnosis on the outcome of childhood pneumococcal meningitis. Arch Dis Child. 2005;90(4):391–396. doi: 10.1136/adc.2004.055335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kaplan SL, Goddard J, Van Kleeck M, Catlin FI, Rd. F. Ataxia and deafness in children due to bacterial meningitis. Pediatrics. 1981;68(1):8–13. [PubMed] [Google Scholar]
  • 24.Weisfelt M, Hoogman M, van de Beek D, de Gans J, Dreschler WA, Schmand BA. Dexamethasone and long-term outcome in adults with bacterial meningitis. Ann Neurol. 2006;60(4):456–468. doi: 10.1002/ana.20944 [DOI] [PubMed] [Google Scholar]
  • 25.Kornelisse RF, Westerbeek CML, Spoor AB, et al. Pneumococcal meningitis in children: prognostic indicators and outcome. Clin Infect Dis. 1995;21(6):1390–1397. doi: 10.1093/clinids/21.6.1390 [DOI] [PubMed] [Google Scholar]
  • 26.Selva L, Ciruela P, Esteva C, et al. Serotype 3 is a common serotype causing invasive pneumococcal disease in children less than 5 years old, as identified by real-time PCR. Eur J Clin Microbiol Infect Dis. 2012;31(7):1487–1495. doi: 10.1007/s10096-011-1468-7 [DOI] [PubMed] [Google Scholar]
  • 27.Arditi M, Mason EO, Bradley JS, et al. Three-year multicenter surveillance of pneumococcal meningitis in children: clinical characteristics, and outcome related to penicillin susceptibility and dexamethasone use. Pediatrics. 1998;102(5):1087–1097. [DOI] [PubMed] [Google Scholar]
  • 28.Buckingham SC, McCullers JA, Luján-Zilbermann J, Knapp KM, Orman KL, English BK. Early vancomycin therapy and adverse outcomes in children with pneumococcal meningitis. Pediatrics. 2006;117(5):1688–1694. doi: 10.1542/peds.2005-2282 [DOI] [PubMed] [Google Scholar]
  • 29.Baraff LJ, Lee SI, Schriger DL. Outcomes of bacterial meningitis in children: a meta-analysis. Pediatr Infect Dis J. 1993;12(5):389–394. doi: 10.1097/00006454-199305000-00008 [DOI] [PubMed] [Google Scholar]
  • 30.Ciapponi A, Elorriaga N, Rojas JI, et al. Epidemiology of pediatric pneumococcal meningitis and bacteremia in Latin America and the caribbean: a systematic review and meta-analysis. Pediatr Infect Dis J. 2014;33(9):971–978. doi: 10.1097/INF.0000000000000309 [DOI] [PubMed] [Google Scholar]
  • 31.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):123–129. doi: 10.1016/S1474-4422(05)70288-X [DOI] [PubMed] [Google Scholar]
  • 32.Hoen B, Viel JF, Gérard A, Dureux JB, Canton P. Mortality in pneumococcal meningitis: a multivariate analysis of prognostic factors. Eur J Med. 1993;2(1):28–32. [PubMed] [Google Scholar]
  • 33.Auburtin M, Porcher R, Bruneel F, et al. Pneumococcal meningitis in the intensive care unit prognostic factors of clinicaloutcome in a series of 80 cases. Am J Respir Crit Care Med. 2002;165(5):713–717. doi: 10.1164/ajrccm.165.8.2106104 [DOI] [PubMed] [Google Scholar]
  • 34.Kastenbauer S, Pfister HW. Pneumococcal meningitis in adults: spectrum of complications and prognostic factors in a series of 87 cases. Brain. 2003;126(5):1015–1025. doi: 10.1093/brain/awg113 [DOI] [PubMed] [Google Scholar]
  • 35.Low PS, Lee BW, Yap HK, et al. Inflammatory response in bacterial meningitis: cytokine levels in the cerebrospinal fluid. Ann Trop Paediatr. 1995;15(1):55–59. [DOI] [PubMed] [Google Scholar]
  • 36.Mook-Kanamori BB, Geldhoff M, van der Poll T, van de Beek D. Pathogenesis and pathophysiology of pneumococcal meningitis. Clin Microbiol Rev. 2011;24(3):557–591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kim KS. Acute bacterial meningitis in infants and children. Lancet Infect Dis. 2010;10(1):32–42. doi: 10.1016/S1473-3099(09)70306-8 [DOI] [PubMed] [Google Scholar]
  • 38.Barichello T, Fagundes GD, Generoso JS, Elias SG, Simoes LR, Teixeira AL. Pathophysiology of neonatal acute bacterial meningitis. J Med Microbiol. 2013;62(Pt 12):1781–1789. doi: 10.1099/jmm.0.059840-0 [DOI] [PubMed] [Google Scholar]

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