Background: The clinical symptoms of bacterial meningitis are various and non-specific
as there are no obvious symptoms. Establishing diagnosis of meningitis and
finding its etiology with limited health facility areas is still constrained by
several factors. However several clinical predictors can help predict the
incidence of bacterial meningitis in children. One of them is Oostenbrink
score.
Aim: this study aimed
to analyze Oostenbrink score as clinical predictor to detect bacterial
meningitis in children.
Methods: A Cross-sectional diagnostic study was
conducted in children aged 1 month-18 years old from September 2018- June 2019
in Dr.Moewardi hospital, Surakarta. The data were analyzed with SPSS version 20
for statistical analysis of diagnostic tests. The cut-off point of Oostenbrink
score was obtained from the best AUC (Area Under Curve) from sensitivity and
specificity sides. A diagnostic test was performed by calculating sensitivity
and specificity, positive predictive value, negative predicted value, positive
likelihood ratio and negative likelihood ratio to the Oostenbrink score.
Results : Among the 40 children of the study subjects,
25 were boys. All subjects presented with fever, some of the subjects also came
with seizures (75%), decreased consciousness (50%), and meningeal signs (30%).
Of the overall study subjects, 27.5% had of bacterial meningitis. Oostenbrink
cut-off score of 9.75 had a sensitivity value of 90.9%, specificity of 69% with
AUC 0.813.
Conclusion: Oostenbrink score is a good clinical predictor for screening detection
bacterial meningitis in children.
Keywords:
Oostenbrink score, bacterial meningitis, children, diagnostic
INTRODUCTION
Acute meningitis in children is generally aseptic
meningitis and does not require specific treatment. About 4%-6% of acute
meningitis cases are bacterial meningitis. Bacterial meningitis is one of the
potentially severe infections in a pediatric population.1,2,3 The
clinical symptoms of bacterial meningitis are very broad and not specific.
Sometimes a child has meningitis, but there are no obvious symptoms. Clinical
symptoms vary depending on the patient`s age, duration of illness, and the body`s
response to infection.4
There are number of clinical
decision rules derived from identification of variable predictors in bacterial
meningitis to predict bacterial meningitis in order to determine further
examinations that are required and to consider immediate antibiotics
administration. Several clinical decision rules have been reported to
distinguish bacterial from viral meningitis including Boyer, Chavanet,
Oostenbrink, Bacterial meningitis score, Freedman, Bonsu, Spanos.5
Almost all clinical decision rules
need CSF examination to predict bacterial meningitis. Oostenbrink score is the
only clinical predictor score for meningitis which does not require
cerebrospinal fluid examination data.6
Further
study needed to evaluate the difference in cut-off point of this score and
limited prospective cohort studies evaluating predictor of this clinical
decision rules on wider population.7
In Indonesia, there are many health
care facilities especially in remotes area which have difficulties to perform
CSF examination because of limited resources. Therefore, we evaluated
Oostenbrink score potential to detect bacterial meningitis in children in
less-invasive simple way.
METHODS
A cross-sectional diagnostic study was conducted
in pediatric ward, pediatric high care units and pediatric intensive care unit
of Dr. Moewardi hospital, Surakarta between September 2018- June 2019. The
samples were taken from all children aged 1 moths-18 years old with acute
meningitis clinical symptoms. The samples were selected by consecutive sampling
after fulfilling inclusion and exclusion criteria. The inclusion criteria were:
all children aged 1 months-18 years old with acute meningitis clinical symptoms
such as fever followed by altered mental status or positive meningeal sign (bulging fontanel,
neck stiffness, kernig or brudzinski sign), or fever followed by seizure without clear
source of infection. Pediatric patient with history of antibiotic use with
intracranial dose > 48 hours, head trauma, cerebral tumor, post intracranial
surgery, sepsis, any contraindication of spinal tap procedure, intracranial
bleeding, failed to attempt spinal tap procedure were excluded from this study.
The ethical clearance was obtained from the ethical commitee review board of faculty of medicine of
Sebelas Maret University and Dr. Moewardi hospital, Surakarta, Indonesia. Permission to collect data was granted from
hospital authorities
Oostenbrink score parameters are
assessed in subjects with suspected acute meningitis. Oostenbrink score range
from 0-40. This score consists of several clinical criteria and CRP serum
examination as described in table 1. CRP serum examination used ADVIA 1800
clinical chemistry with immunoturbidimetry method in Clinical Pathology
laboratory of Dr. Moewardi hospital. Based on Oostenbrink score, we assigned
the subjects into two groups, namely Oostenbrink scores over and below the
cut-off point which obtained from the ROC curve analysis.
Table 1. Oostenbrink score.8
Variable |
Point |
Duration of main problem (1.0 per day,
maximum 7) History of vomiting Physical examination findings:
Serum C-reactive protein level (mg/dL)
|
1.0 2.0 6.5 8.0 7.5 4.0 0 0.5 1.0 1.5 2.0 |
Case classification of bacterial meningitis
according to WHO:
1.
Suspected: Any child with sudden onset of fever (> 38.5 °C rectal or 38.0 °C
axillary) and one of the following signs: neck stiffness, altered consciousness
or other meningeal signs.
2.
Probable: A suspected case with CSF examination showing at
least one of the following:
a.
turbid appearance CSF,
b.
Leucocytosis (> 100 cells/mm3);
c.
Leucocytosis (10-100 cells/ mm3) and either an
elevated protein (> 100 mg/dl) or decreased glucose (< 40 mg/dl).
3.
Confirmed: A case that is laboratory-confirmed by culture of
bacterial pathogen in the CSF in a child with a clinical syndrome consistent
with bacterial meningitis
For the study
purpose, we used probable case and confirmed case criteria to establish
bacterial meningitis diagnosis. CSF
analysis used ADVIA 120 in Clinical Pathology laboratory of Dr. Moewardi
hospital while CSF culture was perform in Microbiology laboratory of Dr.
Moewardi hospital. The subjects who didn`t meet the criteria for bacterial
meningitis classified as non-bacterial meningitis group.
The data were analyzed with SPSS version 20 for
statistical analysis of diagnostic tests. The
cut-off point of Oostenbrink score was obtained from the best AUC (Area Under
Curve) from sensitivity and specificity sides. A diagnostic test was performed
by calculating sensitivity and specificity to the Oostenbrink score.
RESULTS
Of the 40 pediatric
patients with acute meningitis criteria, 11 (27.5%) of them were diagnosed as
bacterial meningitis. Most patients were in the age range 1-5 years old, boys
were more common than girls. All patients presented with fever, some of the
subjects also came with seizures (75%), decreased consciousness (50%), and
meningeal signs (30%). Of the bacterial meningitis group, we found positive
nonne/pandy result in 8 (72.7%) subjects, CSF protein level >
100mg/dl in 7 (63.6%) subjects, CSF glucose <40 mg/dl in 10
(90.9%) subjects. Serum CRP
levels in bacterial meningitis group were 3.31 + 2.54 mg/dl. Positive CSF culture were obtained in 4 (36.4%) patients of
bacterial meningitis group patients.
Tabel 12. The baseline characteristics of the study subjects subjects
Variable |
Bacterial Meningitis |
Total |
|
Bacterial meningitis group (n=11) |
Non-bacterial meningitis group (n=29) |
|
|
Sex |
|
||
Boy |
19 (65.5%) |
25 (62.5%) |
|
Girl |
5 (45.5%) |
10 (34.5%) |
15 (37.5%) |
Age |
|
||
<1 y.o |
3 (27.3%) |
7 (24.1%) |
10 (25%) |
1-5 y.o |
5 (45.5%) |
16 (55.2%) |
21 (52.5%) |
>5 y.o |
3 (27.3%) |
6 (20.7%) |
9 (22.5%) |
Fever |
|
||
Present |
11 (100%) |
29 (100%) |
40 (100%) |
Absent |
0 (0%) |
0 (0%) |
0(0%) |
Seizure |
|
||
Present |
11 (100%) |
20 (69.0%) |
31 (77.5%) |
Absent |
0 (0%) |
9 (31.0%) |
9 (22.5%) |
Consciousness |
|
||
Fully alert |
4 (36.4%) |
16 (55.2%) |
20 (50.0%) |
Altered consciousness |
13 (44.8%) |
20 (50.0%) |
|
Meningeal irritation signs |
|
||
Positive |
6 (54.5%) |
6 (20.7%) |
12 (30%) |
Negative |
5 (45.5%) |
23 (79.3%) |
28 (70%) |
Petechie |
0 (0%) |
0 (0%) |
0 (0%) |
Routine CSF analysis |
|
|
|
Nonne/Pandy CSF |
|
|
|
Positive |
8 (72.7%) |
3 (10.3%) |
11 (27.5%) |
Negative |
3 (27.2%) |
26 (89.6%) |
29 (65.9%) |
CSF Protein (mg/dl) |
|
|
|
>100 |
7 (63.6%) |
5 (17.2%) |
12 (30%) |
<100 |
4 (36.3%) |
24 (82.7%) |
28 (70%) |
CSF Glucose (mg/dl) |
|
|
|
<40 |
2 (6.9%) |
12 (30%) |
|
>40 |
1 (9%) |
27 (93.1%) |
28 (70%) |
CSF Culture |
|
||
Positive |
4 (36.4%) |
0 (0.0%) |
4 (10%) |
Negative |
7 (63.6%) |
29 (100%) |
36 (90%) |
Serum CRP (mg/dl) |
|
|
|
Mean+ Standard deviation |
3.31 + 2.54 |
3.48 + 4.18 |
3.43 + 3.76 |
Based on ROC curve
analysis, cut-off of score Oostenbrink 9.75 had the best sensitivity and
specificity of area under the curve (AUC) 0.813 (95% CI = 0 .684- 0.943)
p-value = 0.002. The cut-off of 9.75 had a sensitivity of 90.9%, specificity
69.0%, with an AUC value of 0.813, Thus
AUC value which is indicating that oostenbrink score fairly good for screening
detection of bacterial meningitis in children.
Figure 1. ROC curve Oostenbrink score in detecting bacterial meningitis
Table 3. Diagnostic Test of Oostenbrink score in Detecting Bacterial Meningitis
Oostenbrink
Score |
Bacterial
Meningitis |
Total |
|
Yes |
No |
||
>9.75 |
10 |
9 |
19 |
< 9.75 |
1 |
20 |
21 |
Total |
11 |
29 |
40 |
DISCUSSION
One of the host factors that influence the
incidence of bacterial meningitis is male sex. In our study, of all subjects
with suspected acute meningitis, 25 (62.5%) were boys, and the remaining 15
(37.5%) were girls. Although there is no significant difference in the
population with bacterial meningitis from the proportion based on sex, we found
more boys affected than girls. This is in line with Ardyna et al study which
reported that 51.6% patient with suspected meningitis were male.2
Another study in Korea by Lee et al also found that sex-linked factors played
role in host susceptibility to infection. The gene located on the x chromosome
influences function of tymus gland and synthesis of female immunoglubulin has
two x genes which make it more resistant to infection.10
Although the incidence of meningitis can occur in
all ages, the age group below 5 years old are mostly affected by meningitis as
their immune system is still low and susceptive to infectious diseases.11
All patients in our
study came with fever. Thirty-one patients came with fever accompanied by
seizures, 12(30%) of all subjects came with meningeal irritation signs, whereas
6 of them were from bacterial meningitis group. Our study also found similar finding
to previous study by Chavez et al revealed signs of meningeal irritation were
only found in one third of children with meningitis. Oostenbrink study also
reported that signs of meningeal irritation appeared in 30% of children with
bacterial meningitis, whereas in cases of viral meningitis it was only 13% .6
Study by Berkley et al showed that seizures was one of the symptoms used as a
screening criteria for acute bacterial meningitis with the sensitivity value of
59% and the specificity of 94%. In addition, signs of neck stiffness as
meningeal sign and bulging fontanel have a sensitivity value 41% and
specificity of 98%.12
Other clinical signs such altered of
consciousness, in the group of bacterial meningitis, 7 out of 11 patients came
with this symptom. This result conformed Karanika et al study which stated only
70% of bacterial meningitis cases appeared with altered of conciousness. 13
An increase of CSF
protein level and decrease of CSF glucose level are usually found in bacterial
meningitis. This can be distinguished bacterial meningitis from aseptic
meningitis, although this representation can resemble tuberculous meningitis.
Predicted factors that make low CSF glucose levels are pathogenic
microorganisms which require a significant amount of glucose for metabolism,
more cell counts, glucose transport defects in cerebrospinal fluid, and may be
an increase in brain glucose uses due to glycolysis process.14
The increase in serum
levels of CRP between groups of bacterial meningitis and not bacterial
meningitis does not vary much. CRP production increases rapidly and this is
induced by cytokines due to response of infections, malignancies, inflammation
and tissue damage such in cases of trauma or surgery. Increased CRP level can
be detected within 6-12 hours of the onset of inflammatory stimulus, and its
concentration reaches to peak in 24-48 hours. The increase can be up to 1000
times. CRP was found to reflect the activity, the extent and severity of the
disease. Along with resolution and the process of inflammation and infection,
CRP levels in the blood fall according to its half-life (19 hours). Most of our
study subjects were referral patients, so that the early onset of the disease
could not be clearly described when the patient arrived, whereas along with the
resolution of inflammation CRP levels fell rapidly within 19 hours.15,16
In our study, positive
CSF culture was obtained in 36,4% subjects with bacterial meningitis. Factors
affecting CSS culture result include the use of antibiotics before CSF culture
samples and the presence of CSS autolysis enzymes. Because most of our subjects
were referral patients, we only excluded patients who had received intracranial
antibiotic therapy 48 hours earlier. Thus, there was a possibility that this
factor caused low isolation of CSF bacteria.17
Several
studies reported that CSF culture as the gold standard in meningitis was only
positive for 6%-50% of cases of meningitis.18 Culture sensitivity
decreases by 30% if antibiotics have been given before lumbar puncture is
performed.19
Culture delays, inadequate storage and CSF transport,
unavailability of CSF culture facilities and prior antibiotic treatment are the
main causes of low report on positive CSF culture results from countries with
limited resources.20 Therefore other examinations that are easy,
less-invasive, affordable and fast are needed in these limited resources area.
Oostenbrink score helps distinguish bacterial meningitis from other etiologies
of meningitis in children by using a combination of clinical criteria include
history taking, physical examination and CRP serum examination that are easily
and quickly examined.
In the first
study of Oostenbrink, a univariate analysis of clinical signs obtained in
patients, physical examination and laboratory examinations. There are several
independent predictors of bacterial meningitis. This score consists of patient`s
symptoms and physical examination include: duration of the main complaint,
history of vomiting, signs of meningeal irritation, cyanosis, petechiae and
altered of consciousness on physical examination. CRP serum is the only
laboratory predictor that has added value to previous clinical predictors,
adding serum CRP increases AUC from 0.92 to 0.95. 8 Patients with score >9.5 must undergo lumbar puncture
to confirm exact etiological diagnosis of bacterial meningitis. A prospective
validation study at four hospitals in the Netherlands applied this clinical
score to 226 pediatric patients. The authors used lower cut-off of a total
score of 8.5 which was then applied to the initial study population (360
children) and the population in the study (226 children). The predictive value
of bacterial meningitis increased along with determination of the new cut-off
value. Their study showed none of 205 children with clinical score less than
8.5 were diagnosed as bacterial meningitis, about 13% of children with score
range 8.5-14.9 clearly diagnosed as bacterial meningitis.7 The ROC
area for this study was 0.90, slightly lower than the initial research data
with an ROC area of 0.94.7
AUC was considered
poor in diagnosing with < 0.7 score. Otherwise, it was considered good with
0.7-0.9 score, and very good with 0.9-1. Our study obtained that Oostenbrink scores with cut-off
9.75 had sensitivity 90.9%, specificity 69.0%, AUC value 0.813 with p-value
< 0.05. Hence, the diagnostic ability of Oostenbrink score based on AUC
0.813 was fairly good for screening bacterial meningitis in children.
The
difference of Oostenbrink score cut-off in this study is not much different from
the first study which found 9.5. Whereas in our study, only one patient had
cut-off value below 9.75. The impact of likelihood ratio to possibility of the
disease has a fairly good diagnostic value. AUC values obtained in our study
were lower than previous studies had. This could be due to the limited sample
size, this study was conducted in referral hospital, so it can`t be compared
with actual prevalence of bacterial meningitis in children population.
Oostenbrink
score of >9.75 can be used as a predictor for screening detection of
bacterial meningitis in children. This predictor is easier and cheaper because
it doesn`t need any CSF laboratory examination. Oostenbrink score can be an
alternative screening tool that helps medical personnel in limited resources to
determine the necessity of a lumbar puncture procedure or further CSF
examination in children with bacterial meningitis. Although it can not replace
CSF culture examination as a gold standard for bacterial meningitis. Further
studies for validation of this scoring system are needed.
Several
limitations of this study include the sample sizes used in the study is small
and only conducted in referral hospitals, this study did not use other
diagnostic examination that ensure non-bacterial meningitis such as PCR viruses
and other methods which ensure etiological bacteria in CSF such latex
agglutination or PCR.
CONCLUSION
Oostenbrink score is a good clinical predictor for screening detection
of bacterial meningitis in children. Oostenbrink score with a cut-off value
9.75 has a sensitivity value 90.9%, specificity 69.0 and AUC 0.813 with p-value
<0.05.
CONFLICTS OF INTEREST
None declared.
FUNDING ACKNOWLEDGEMENT
The authors received no specific grants from any funding agency in the
public, commercial, or not-for-profit sectors.
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