Abstract
BACKGROUND AND PURPOSE:
Bacterial meningitis most commonly affects young children and can result in critical adverse outcomes, including sensorineural hearing loss (SNHL). The purpose of this study is to determine the diagnostic accuracy of MR imaging for predicting the development of SNHL among infants with bacterial meningitis.
MATERIALS AND METHODS:
A retrospective review was performed among infants (age <365 days) with bacterial meningitis (n = 115). Independent and consensus blinded review of brain MRIs (n = 239) performed less than 90 days from presentation were conducted. Abnormal appearance of the inner ear was defined as enhancement on postcontrast T1-weighted (T1-weighted+C) sequence and FLAIR hyperintensity. The consensus MR imaging appearance of the inner ear on FLAIR, T1-weighted+C, and combined evaluation was compared with criterion standard audiometric testing to determine the sensitivity and specificity of MR imaging for detecting SNHL.
RESULTS:
The mean age at diagnosis of bacterial meningitis was 50.6 days (range, 0–338 days) and 24.3% had SNHL. Sensitivity and specificity was 0.61/0.96, 0.50/0.94, and 0.61/0.94 for T1-weighted+C, FLAIR hyperintensity, and combined evaluation, respectively, for prediction of SNHL. There was excellent interobserver agreement for both the T1-weighted+C and FLAIR sequences and combined evaluation for presence of abnormal enhancement and hyperintense signal, respectively. Factors associated with abnormal MR imaging findings on T1-weighted+C and/or FLAIR in patients with SNHL included low CSF glucose (P = .04, .02) and high CSF protein (P = .04, .03).
CONCLUSIONS:
Abnormal enhancement and/or FLAIR hyperintensity of the inner ear demonstrate high specificity and average sensitivity for prediction of SNHL among infants with bacterial meningitis.
Meningitis is an inflammation of the meninges affecting the pia, arachnoid, and subarachnoid space in response to infection. Despite advances in antimicrobial therapy and improvements in supportive care, bacterial meningitis remains a devastating disease. Group B Streptococcus (GBS) and Escherichia coli (E coli) remain the most common causes of bacterial meningitis in the first 90 days of life.1 In the modern era, the mortality of bacterial meningitis in infants is approximately 10%, and survivors remain at high risk for neurologic sequelae.2,3
Sensorineural hearing loss (SNHL) is a serious complication and sequela of bacterial meningitis, occurring in 7%–33% of pediatric patients with bacterial meningitis.4-7 SNHL in children is more common with Streptococcus pneumoniae (S pneumoniae) (31%) or Neisseria meningitidis (N meningitidis) (23.9%) meningitis.5
Meningitis leads to SNHL through a presumed mechanism of spread into the inner ear from the CSF through the cochlear aqueduct.8,9 Three previous studies have specifically investigated MR imaging for detection of inner ear abnormalities in patients with bacterial meningitis.8-10 These studies showed that MR imaging could detect inner ear abnormalities in patients who developed SNHL. However, these studies only included a small number of patients, included a wide range of patient ages, and did not evaluate the value of the FLAIR sequence, a noncontrast MR imaging sequence routinely performed and useful for detecting abnormal fluid. To date, no large study has evaluated both noncontrast and postcontrast MR imaging techniques for prediction of SNHL among infants with bacterial meningitis. In addition, only a limited number of studies have evaluated associated factors that may result in detectable MR imaging abnormalities in these patients such as CSF parameters at the diagnosis or timing of MR imaging in the course of meningitis. Early recognition of labyrinthitis in infants with meningitis by neuroimaging can benefit patient care through promoting earlier audiologic consultation and/or intervention in these patients.
The purpose of this study was to determine the diagnostic accuracy of noncontrast and postcontrast MR imaging techniques for prediction of SNHL among a large cohort of infants with a history of meningitis and the factors associated with abnormal MR imaging findings of the inner ear.
MATERIALS AND METHODS
Following institutional review board approval, a retrospective review was performed among neonates and infants (age < 365 days) with confirmed bacterial meningitis imaged between 2011 and 2019. Diagnosis of meningitis was determined by either 1) a positive CSF culture, or 2) positive blood culture combined with elevated CSF white blood cell (WBC) count (>20 WBC/µL for age <30 days, >9 WBC/µL for age 30–90 days, and >6 WBC/µL for age >90 days).11,12 Patients with immunodeficiency, malignancy, or an intracranial shunt were excluded. The electronic medical records were reviewed to determine patient age at presentation, prematurity (<37 weeks gestation), and audiometric testing results.
MR imaging of the brain was performed using 1.5T and 3T scanners with precontrast axial and sagittal T1-weighted (T1-weighted) turbo spin-echo, axial and/or coronal FLAIR, axial and coronal T2-weighted, axial gradient-echo, axial diffusion-weighted, and postcontrast axial and coronal T1-weighted (T1-weighted+C) turbo spin-echo imaging. Section thickness for all FLAIR and T1-weighted+C sequences was 3–4 mm with zero gap. MR imaging performed within 90 days of presentation was included.The mean time intervals between meningitis presentation to audiometric testing and between first MRI to audiometric testing were calculated (days). Nondiagnostic MRIs were excluded from the study. Forty-nine patients had 1 MR imaging, and 66 patients had more than 1 MR imaging, of which, 10 patients had differences and 56 patients had no differences on follow-up. Therefore, 239 MRIs of 115 patients were included, of which 239/239 MRIs had the FLAIR sequence and 212/239 MRIs had T1-weighted+C sequences. The 27 MRIs without T1-weighted+C sequences were due to a decision to not administer IV contrast in the setting of renal failure.
Retrospective independent reviews of brain MRIs were performed by 2 board-certified pediatric neuroradiologists (S.F.K., M.K.K.) who were blinded to SNHL status, with 7 years and 9 years of experience. Abnormal appearance of the inner ear on MR imaging was defined as presence of abnormal enhancement on T1-weighted+C sequences (yes/no), or presence of hyperintense FLAIR signal (yes/no). The side of abnormal enhancement or hyperintense FLAIR signal (right/left/bilateral), and subjective degree of enhancement (none/mild/moderate/severe) were also recorded. For all patients in whom there was a discordant MR imaging finding, the reviewers performed a combined review, reached a consensus on the MR imaging finding, and this consensus was used as the final diagnosis. Interobserver agreement for individual MR imaging findings was calculated using the κ statistic. A κ value of 0.81–1.0 indicated excellent agreement, 0.61–0.80 indicated good agreement, 0.41–0.60 indicated moderate agreement, 0.21–0.40 indicated fair agreement, and 0–0.20 indicated slight agreement.
Audiometric testing was used as the criterion standard for diagnosis of SNHL in all patients. All audiometric testing was performed by certified audiologists using age-appropriate testing, which included visual reinforcement audiometry, otoacoustic emissions test, auditory brain stem response or auditory steady-state response evaluation. SNHL was graded per hearing levels in decibels (dB) by slight/mild (26–40 dB), moderate (41–60 dB), severe (61–80 dB) and profound (>81 dB) by World Health Organization grades of hearing impairment (https://www.who.int/pbd/deafness/hearing_impairment_grades/en/).
Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of enhancement on T1-weighted+C, FLAIR, and combined evaluation were calculated using the results of audiometric testing as the reference standard. Binomial exact 95% confidence intervals were calculated to provide an estimate of precision. When a patient had more than 1 MR imaging scan before the audiometric testing, the same audiometric testing result was used for the analysis.
To determine the factors associated with an abnormal MR imaging appearance of the inner ear, an unpaired t test was used to compare the age at presentation, time from presentation to MR imaging, CSF WBC count, CSF glucose, and CSF protein. In addition, a Fisher exact test was used to compare positive or negative CSF results between the groups with normal versus abnormal appearance on T1-weighted+C and FLAIR imaging. A P value <.05 was considered statistically significant.
RESULTS
A total of 115 infants (67 males/48 females) with a mean age of 50.6 days (range, 0–338 days) met the inclusion criteria for the study (Table 1). The mean time from diagnosis of bacterial meningitis to MR imaging was 16.3 days (range 0–79 days). Mean time from diagnosis of bacterial meningitis to audiometric testing was 323.25 days (range, 0–2268 days). Mean time from the first MR imaging to audiometric testing was 311.7 days (range, 0–2234 days). There was no significant difference in time from the first MR imaging to audiometric testing between infants without SNHL (306.01 ± 586.9 days) and infants with SNHL (328.5 ± 469 days) (P = .85). CSF culture and blood culture results for patients with and without SNHL are shown in Table 1.
Table 1:
Age | 50.6 Days (0–338 Days) |
Sex | 67 male/48 female |
Pathogens | |
SNHL(+) | |
CSF culture results | Negative (25%) |
GBS (21.4%) | |
E coli (17.9%) | |
S pneumoniae (17.9%) | |
Other pathogens (H influenza, S gallolyticus, N meningitidis, S infantarius, and P mirabilis) (17.9%) | |
Blood culture results | E coli (29.6%) |
GBS (22.2%) | |
S pneumoniae (14.8%) | |
H influenza (7.4%) | |
K pneumoniae (7.4%) | |
Other pathogens (S gallolyticus, N meningitidis, S infantarius, P mirabilis, and S hominis) (18.5%) | |
SNHL(−) | |
CSF culture results | Negative (30%) |
E coli (25%) | |
GBS (21.3%) | |
Other pathogens (Gram-positive cocci, Coccobacilli, Salmonella, Serratia, S alpha, S gallolyticus, S gamma, S pneumonia, S pyogenes) (23.7%) | |
Blood culture results | E coli (35.4%) |
GBS (29.1%) | |
Other pathogens (Coagulase negative staphylococcus, Enterobacter, H influenza, Klebsiella, Neisseria, S aureus, S bovis, S gallolyticus, S pneumonia, S pyogenes) (24%) | |
Negative (11.4%) |
SNHL was present in 24.3% (28/115) of infants. With respect to age at diagnosis of meningitis, SNHL was n = 12 (14.6%) for age ≤28 days, n = 8 (34.8%) for age 29–90 days, and n = 8 (80%) for age 90–365 days. In Figs 1–3, the FLAIR and T1-weighted+C MR imaging findings are shown for patients without and with SNHL. World Health Organization grades of hearing impairment were unilateral slight/mild in 22.2% (n = 6), bilateral slight/mild in 37% (n = 10), bilateral moderate in 7.4% (n = 2), bilateral severe in 7.4% (n = 2), unilateral profound in 11.1% (n = 3), bilateral profound in 14.8% (n = 4) of patients with SNHL. One child had profound SNHL on the right side and slight/mild SNHL on the left side.
A total of 19.8% (42/212) of MR images had consensus interpretation of abnormal enhancement on T1-weighted+C. Sensitivity, specificity, PPV, and NPV of T1-weighted+C MR imaging findings compared with audiometric testing as the reference standard with 95% confidence intervals are shown in the On-line Table. Interobserver agreement between the 2 readers was excellent for the presence of abnormal contrast enhancement (κ = 0.95). The consensus grade of enhancement was 80.9% mild, 16.7% moderate, and 2.4% severe. There was excellent interobserver agreement for the grading of enhancement (κ = 0.91). The consensus side of the contrast enhancement on T1-weighted+C was right-sided only 0.9% (2/212), left-sided only 5.7% (12/212), bilateral 12.7% (27/212), and none 80.7% (171/212) for the consensus reading. Interobserver agreement between the 2 readers was excellent for the side of contrast enhancement (κ = 0.94).
A total of 18.4% (44/239) of MR images had consensus interpretation of hyperintense FLAIR signal. Sensitivity, specificity, PPV, and NPV of FLAIR MR imaging findings compared with audiometric testing as the reference standard with 95% confidence intervals are shown in the On-line Table. Interobserver agreement between the 2 readers was excellent for presence of FLAIR hyperintensity (κ = 0.93). Side of the FLAIR hyperintensity was right-sided only 0.4% (1/239), left-sided only 3.3% (8/239), bilateral 14.6% (35/239), and none 81.6% (195/239) for the consensus reading. Interobserver agreement between the 2 readers was excellent for the side of abnormal FLAIR hyperintensity (κ = 0.90).
Among children with SNHL, the mean CSF glucose was significantly lower for abnormal T1-weighted+C, hyperintense FLAIR signal, and combined evaluation (P = .04, .02, and .04, respectively) and the mean CSF protein was significantly higher for abnormal T1-weighted+C, hyperintense FLAIR signal, and combined evaluation in patients with SNHL (P = .04, .03, and .04, respectively) (Table 2). The presence of any positive CSF culture demonstrated significant association with abnormal T1-weighted+C, hyperintense FLAIR signal, and combined evaluation (P = .009, .007, and .003, respectively). The most common pathogens in patients with SNHL and with abnormal T1-weighted+C or FLAIR hyperintense signal were GBS (38.5%), E coli (23.1%), and S pneumoniae (23.1%) in our cohort.
Table 2:
Normal MR Imaging Findings Mean (SD) | Abnormal MR Imaging Findings Mean (SD) | P Value | |
---|---|---|---|
Inner ear enhancement on T1+C | |||
Age at presentation (days) | 95.2 (116.6) | 93.4 (93.5) | .9 |
Time from presentation to MR imaging (days) | 14.1 (11.4) | 10.1 (6.4) | .3 |
CSF WBC count | 11692.3 (32,494.4) | 2674.8 (5440.94) | .3 |
CSF glucose | 29 (14.3) | 18.1 (11) | .04 |
CSF protein | 309.8 (236.9) | 505.5 (216.1) | .04 |
FLAIR hyperintensity | |||
Age at presentation (days) | 74.1 (105.1) | 98.2 (95.5) | .5 |
Time from presentation to MR imaging (days) | 12.9 (10.7) | 10 (6.6) | .4 |
CSF WBC count | 8613.9 (27,966.7) | 2843.62 (5624.81) | .5 |
CSF glucose | 35.5 (22.4) | 17.9 (11.4) | .02 |
CSF protein | 301.5 (224.1) | 498.54 (223.3) | .03 |
Combined evaluation | |||
Age at presentation (days) | 95.2 (116.6) | 93.4 (93.5) | .9 |
Time from presentation to MR imaging (days) | 14.1 (11.4) | 10.1 (6.4) | .3 |
CSF WBC count | 11,692.3 (32,494.4) | 2674.8 (5440.94) | .3 |
CSF glucose | 29 (14.3) | 18.1 (11) | .04 |
CSF protein | 309.8 (236.9) | 505.5 (216.1) | .04 |
DISCUSSION
SNHL is a serious complication and sequela of bacterial meningitis. The pathogenesis of SNHL from bacterial meningitis is from spread of infection into the inner ear through the cochlear aqueduct and subsequent development of labyrinthitis.8 We believe that the detection of abnormal enhancement within the inner ear on MR imaging is secondary to the inflammation and blood-brain barrier breakdown while the FLAIR hyperintense signal reflects the accumulation of abnormal proteinaceous fluid in the inner ear. Previously reported risk factors for SNHL due to meningitis include S pneumoniae, decreased CSF glucose, increased CSF protein, seizure, and a long hospital duration.5,13
Twenty-eight patients (24.3%) developed SNHL in our cohort. The most common pathogens in our SNHL cohort were GBS (21.4%) and E coli (29.6%). In addition, the most common pathogens in patients with SNHL and with abnormal T1-weighted+C or FLAIR hyperintense signal were GBS (38.5%) and E coli (23.1%). GBS and E coli are the 2 most common bacteria causing neonatal meningitis.14 The relatively low mean age of our patient population of 50.6 days likely explains the reason the most common pathogens in our cohort were GBS and E coli.
In this large study of infants with bacterial meningitis, we demonstrate high specificity (96% and 94%) but average sensitivity (61% and 50%) for abnormal enhancement and abnormal FLAIR hyperintense signal, respectively, for predicting SNHL among infants with meningitis. Most (81%) inner ear enhancement on postcontrast T1-weighted imaging was subjectively graded as mild indicating the radiologist could miss this finding without direct attention to the inner ear. There was excellent agreement between readers and the individual readings were as high as consensus readings, indicating a high likelihood of the reproducibility of these findings in the clinical setting.
Only a few studies are available in the medical literature for comparison with our results. Kopelovich et al9 evaluated T1-weighted+C MR imaging sequences in 23 children (3 months–14 years) compared with audiometric testing. Only 35% of their cohort developed SNHL and the authors found 87% sensitivity and 100% specificity for contrast enhancement to predict SNHL.9 van Loon et al10 evaluated T1-weighted+C and T2-weighted MRIs of 17 patients (3 months–77 years) with audiometric data and found inner ear enhancement in 87% of the ears affected by SNHL. Enhancement of the labyrinth showed 62% sensitivity and 90% specificity.10 Differences in the results of this study and these previous 2 studies may include the patient population (younger age and larger number of patients), and most pathogens being GBS and E coli. Our cohort consists of the most homogeneous and largest patient group to date compared with similar studies.8-10 Last, similar to Kutz et al,5 we found significantly lower CSF glucose and higher CSF protein in our SNHL cohort to be associated with greater likelihood of abnormal appearance of the inner ear on MR imaging (Table 2).
We did not find any similar studies to compare our abnormal FLAIR hyperintensity results. However, there is 1 report of an adult pneumococcal meningitis patient who developed SNHL and who underwent 3D FLAIR MR imaging that revealed hyperintensity and contrast enhancement in the cochlea and the vestibulum.15 Another study among adults reported that 3D FLAIR hyperintensity was positively associated with pretreatment SNHL and presence of vertigo in idiopathic sudden SNHL.16 Due to the low number of postcontrast FLAIR sequences in our data base, we did not include postcontrast FLAIR evaluations in our study design.
Strengths of this study include the large number of patients, a relatively homogeneous age of patients who are most commonly affected by bacterial meningitis, assessment of both a noncontrast and postcontrast sequence for detecting SNHL, and the use of audiometric testing as the criterion standard for diagnosis of SNHL.
Limitations of this study are because of the retrospective nature of the study, and include a discrepancy between number of MRIs and infants, and single-center evaluation of patients with meningitis. Another potential limitation of this study is the subjectivity in the determination of individual MR imaging findings. This subjectivity was mitigated by independent imaging reviews by 2 pediatric neuroradiologists, the consensus diagnosis in discordant findings, and calculation of interobserver agreement. We observed excellent interobserver agreement for both the inner ear enhancement and FLAIR hyperintensity, indicating that the subjectivity in imaging interpretation does not appear to be a significant factor. Because this was a retrospective study, we evaluated the inner ear on whole-brain MR imaging FLAIR and T1-weighted+C sequences, which were available in all patients and had 3–4 mm section thickness. Thinner section thickness imaging through the temporal bones may improve the sensitivity of detection by providing more images and higher resolution of the inner ear. In addition, this limitation affected our ability to perform a more detailed inner ear site-specific analysis of the location of the abnormality, but future studies with thinner and higher resolution imaging may be useful for further differentiation. Regardless, the increased recognition provided from this study regarding the diagnostic accuracy of MR imaging for SNHL in these infants may help radiologists more closely assess the inner ear when routine MRIs of the brain are ordered, routinely report on the status of the inner ear in patients with bacterial meningitis, or modify imaging protocols to provide higher resolution imaging of the inner ear in these patients.
CONCLUSIONS
Abnormal enhancement on T1-weighted+C MR imaging and abnormal FLAIR hyperintense signal of the inner ear are highly specific for predicting SNHL in infants with bacterial meningitis.
ABBREVIATIONS:
- WBC
white blood cell
- SNHL
sensorineural hearing loss
- GBS
Group B Streptococcus
- PPV
positive predictive value
- NPV
negative predictive value
- +C
postcontrast
Footnotes
Disclosures: Jesus G. Vallejo—UNRELATED: Royalties: Wolters Kluwer – UpToDate.
References
- 1.Ku LC, Boggess KA, Cohen-Wolkowiez M. Bacterial meningitis in infants. Clin Perinatol 2015;42:29–45 10.1016/j.clp.2014.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ouchenir L, Renaud C, Khan S, et al. . The epidemiology, management, and outcomes of bacterial meningitis in infants. Pediatrics 2017;140:e20170476 10.1542/peds.2017-0476 [DOI] [PubMed] [Google Scholar]
- 3.de Louvois J, Halket S, Harvey D. Neonatal meningitis in England and Wales: sequelae at 5 years of age. Eur J Pediatr 2005;164:730–34 10.1007/s00431-005-1747-3 [DOI] [PubMed] [Google Scholar]
- 4.Koomen I, Grobbee DE, Roord JJ, et al. . Hearing loss at school age in survivors of bacterial meningitis: assessment, incidence, and prediction. Pediatrics 2003;112:1049–53 10.1542/peds.112.5.1049 [DOI] [PubMed] [Google Scholar]
- 5.Kutz JW, Simon LM, Chennupati SK, et al. . Clinical predictors for hearing loss in children with bacterial meningitis. Arch Otolaryngol Head Neck Surg 2006;132:941–45 10.1001/archotol.132.9.941 [DOI] [PubMed] [Google Scholar]
- 6.Richardson MP, Reid A, Tarlow MJ, et al. . Hearing loss during bacterial meningitis. Arch Dis Child 1997;76:134–38 10.1136/adc.76.2.134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wellman MB, Sommer DD, McKenna J. Sensorineural hearing loss in postmeningitic children. Otol Neurotol 2003;24:907–12 [DOI] [PubMed] [Google Scholar]
- 8.Beijen J, Casselman J, Joosten F, et al. . Magnetic resonance imaging in patients with meningitis induced hearing loss. Eur Arch Otorhinolaryngol 2009;266:1229–36 10.1007/s00405-009-0921-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kopelovich JC, Germiller JA, Laury AM, et al. . Early prediction of postmeningitic hearing loss in children using magnetic resonance imaging. Arch Otolaryngol Head Neck Surg 2011;137:441–47 10.1001/archoto.2011.13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.van Loon MC, Hensen EF, de Foer B, et al. . Magnetic resonance imaging in the evaluation of patients with sensorineural hearing loss caused by meningitis: implications for cochlear implantation. Otol Neurotol 2013;34:845–54 10.1097/MAO.0b013e31828dafee [DOI] [PubMed] [Google Scholar]
- 11.Kestenbaum LA, Ebberson J, Zorc JJ, et al. . Defining cerebrospinal fluid white blood cell count reference values in neonates and young infants. Pediatrics 2010;125:257–64 10.1542/peds.2009-1181 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chávez-Bueno S, McCracken GH. Jr.. Bacterial meningitis in children. Pediatr Clin North Am 2005;52:795–810 10.1016/j.pcl.2005.02.011 [DOI] [PubMed] [Google Scholar]
- 13.Jaremko JL, Moon AS, Kumbla S. Patterns of complications of neonatal and infant meningitis on MRI by organism: a 10 year review. Eur J Radiology 2011;80:821–27 10.1016/j.ejrad.2010.10.017 [DOI] [PubMed] [Google Scholar]
- 14.Kim KS. Current concepts on the pathogenesis of Escherichia coli meningitis: implications for therapy and prevention. Curr Opin Infect Dis 2012;25:273–78 10.1097/QCO.0b013e3283521eb0 [DOI] [PubMed] [Google Scholar]
- 15.Hara N, Yunoki T, Kubo S, et al. . [Pneumococcal meningitis with accompanying severe hearing loss: 3D-FLAIR imaging of the inner ear and treatment]. Rinsho Shinkeigaku 2015;55:119–22 10.5692/clinicalneurol.55.119 [DOI] [PubMed] [Google Scholar]
- 16.Berrettini S, Seccia V, Fortunato S, et al. . Analysis of the 3-dimensional fluid-attenuated inversion-recovery (3D-FLAIR) sequence in idiopathic sudden sensorineural hearing loss. JAMA Otolaryngol Head Neck Surg 2013;139:456–64 10.1001/jamaoto.2013.2659 [DOI] [PubMed] [Google Scholar]