Abstract
Objectives
Epidemiologic frequencies of pediatric white matter disorders as a class have not been well defined. This is in particularly true of genetic disorders of the white matter of the brain. In this study, ICD-9 codes were used to estimate relative incidence rates and descriptive statistics of leukodystrophies, other genetic leukoencephalopathies and acquired demyelinating disease among children residing in the Washington, D.C. metropolitan area.
Patients/Methods
Children receiving care at U.S. children’s hospitals between January 1, 2004, and December 31, 2009, for acquired demyelinating disease or genetic white matter disorders were captured using the Pediatric Health Information System (PHIS), the Physician Practice Management (PPM) system and validation with local electronic medical records. Comparisons were made between genetic white matter disorders and acquired demyelinating disorders, to determine differences in incidence, age, gender, ethnicity and mortality.
Results
Genetic causes of white matter disease identified with ICD-9 codes had an estimated incidence of 1.2/100,000 children in the Washington DC area. Of interest, nearly 5 out of 10 cases of pediatric white matter disease of any etiology were attributable to genetic causes. When only progressive white matter diseases were considered, 7 out of 10 cases were attributable to genetic causes, and only 3 out of 10 to progressive acquired demyelinating disease such as multiple sclerosis.
Conclusion
These findings signify the important contribution of heritable white matter disorders to pediatric neurologic disease in the Washington, DC, metro area as well as throughout the United States. Continued research of these understudied disorders should compare disease incidence and determinants to validate these findings in different populations.
Keywords: white matter disease, leukodystrophy, genetic leukoencephalopathy, epidemiology
Background
Limited information exists about the incidence of genetic white matter disorders of the brain. Genetic white matter disorders of the brain include classic leukodystrophies as well as other heritable disorders with prominent white matter abnormalities on neuroimaging, referred to here as genetic leukoencephalopathies. Previous studies using national health reporting systems in Germany estimated incidence of heritable white matter disorders to be approximately 1 in 50,000 live births.1 However, more recent studies conducted using statewide data in Utah estimated incidence of any heritable white matter disorder as 1 per 8,000 live births.2 The wide discrepancy between these estimates is surprising, even taking into account differences in populations and classification of patients as having a leukodystrophy. Further research to establish incidence outside of these two distinct populations 1, 2 and additional descriptive statistics such as mean age at diagnosis and mortality in patients with leukodystrophy3, 4 are needed to establish relevance to public health.
In contrast, awareness of acquired demyelinating disorders is greater than that of leukodystrophies, which are individually perceived to be rare entities and not as common as the acquired demyelinating disorders, even in the pediatric population. In this study, acquired white matter disorders include multiple sclerosis (MS), transverse myelitis (TM), optic neuritis (ON), acute disseminated encephalomyelitis (ADEM) and neuromyelitis optics (NMO). It is estimated that 2.7 to 5% of patients with multiple sclerosis are below 16 years old.5, 6 In Canada, incidence of acquired white matter disorders was estimated to be 0.9/100,000 children.7 A recent publication of acquired white matter disorders in southern California identified an incidence of 1.66/100,000 children8 and similar data was obtained in the Netherlands with an incidence of 0.66/100,000 children9. We hypothesize that despite commonly held perceptions, children are at least as commonly affected by inherited disorders of the white matter of the brain as by acquired demyelinating disorders. In this study we present relative incidence data of acquired demyelinating disease and genetic disorder of the white matter in the pediatric population.
Methods
A retrospective cohort study design was used and approved by the Children’s National Medical Center (CNMC) Institutional Review Board. CNMC is a 284 bed acute care pediatric academic medical center with more than 40 subspecialties in a major metropolitan area. ICD-9 codes most likely to capture white matter disorders were identified (Table 1). Only patients between the ages of 0–18 years were collected. Databases used included the Pediatric Health Information System (PHIS) (ambulatory surgery, Emergency Room and inpatient visits), the Physician Practice Management (PPM) system (outpatient visits), and the CNMC Myelin Disorders clinic patient records.
Table 1.
Heritable White Matter Disorders | Acquired White Matter Disorders | ||
---|---|---|---|
| |||
ICD-9 Code | Description | ICD-9 Code | Description |
| |||
330.00 | Leukodystrophy | 341.20 | Acute ‘transverse’ myelitis |
330.10 | Cerebral lipidoses | 341.21 | Acute ‘transverse’ myelitis in conditions classified elsewhere |
330.20 | Cerebral degeneration in generalized lipidoses | 341.22 | Idiopathic transverse myelitis |
330.30 | Cerebral degeneration of childhood in other diseases classified elsewhere | 323.82 | Other cases of myelitis |
330.80 | Other specified cerebral degenerations in childhood | 340.00 | Multiple sclerosis |
330.90 | Unspecified cerebral degeneration in childhood | 341.00 | Neuromyelitis optica |
349.89 | Other specified disorders of nervous system | 377.30 | Optic neuritis |
323.90 | Unspecified cause of encephalitis, myelitis, and encephalomyelitis) | 377.32 | Retro bulbar neuritis ‘acute’ |
341.90 | Demyelinating disease of central nervous system, unspecified | 323.61 | Infectious acute disseminated encephalomyelitis ‘ADEM’ |
323.63 | Post infectious myelitis | ||
323.81 | Other causes of encephalitis and encephalomyelitis |
PHIS were used to capture patients seen at CNMC in ambulatory surgery, the Emergency Room and inpatient visits at CNMC. PHIS is an administrative database that contains inpatient data from 40 not-for-profit, tertiary care pediatric hospitals across the United States. Data quality and reliability are assured through a joint effort between the Child Health Corporation of America (Shawnee Mission, KS), and participating hospitals. Discharge data are de-identified at the time of data submission and subjected to a number of reliability and validity checks before being processed into data quality reports. The Physician Practice Management (PPM) system and the CNMC Myelin Disorders clinic patient records were used to identify outpatient visits also at CNMC. All children diagnosed with white matter disorders (genetic or acquired white matter disorders) from January 1, 2004, to December 31, 2009, at CNMC were collected. Retrospective chart review was performed on patients with qualifying ICD-9 codes using an electronic medical record (EMR) system (PowerChart ®). Duplicate cases were excluded.
Variables collected from confirmed cases using the EMR included state of residence, zip code, date of birth, gender, race/ethnicity, age at initial medical visit for white matter disease, length of time to diagnosis and final diagnosis. Mortality for CNMC cases was determined using information in the electronic medical record or by physician confirmation. Patients with degenerative disorders who had not returned to CNMC for follow-up for more than 3 years and for whom no knowledge of death was available, were excluded from mortality statistics. Length of time to diagnosis was determined as the difference between the first visit for white matter disease and the date of either a confirmed diagnosis or determination that the patient has an unclassified disorder once extensive clinical testing pertinent to the disease presentation had failed to reveal a known disorder. Race and ethnicity were assigned consistent with the definition of the 2000 Census of Population Public Law 94-171, U.S. Census Bureau. To protect human subjects, all data was de-identified prior to analysis; only the above variables were extracted and examined by investigators.
Disorders were classified either as acquired demyelinating disorders, leukodystrophies or heritable leukoencephalopathies. Acquired demyelinating disorders included Multiple Sclerosis (MS), Neuromyelitis Optica (NMO), Transvers Myelitis (TM), Optic Neuritis (ON) and Acute Disseminated Encephalomyelitis (ADEM). Classification of patients with heritable disorders identified in our CNMC population as leukodystrophies was determined by AV was established (Table 2) Certain disorders not considered classic leukodystrophies but significantly affecting white matter were included as genetic leukoencephalopathies if they were heritable and had prominent white matter abnormalities (Table 2).
Table 2.
A. Leukodystrophy | Number of cases | B. Genetic Leukoencephalopathy | Number of cases |
---|---|---|---|
Adrenoleukodystrophy | 3 | Aicardi Goutières syndrome | 4 |
Alexander Disease | 6 | Congenital Disorder of Glycosylation | 1 |
CACH/Vanishing White Matter disease | 1 | Fucosidosis | 1 |
Canavan disease | 1 | GM1/GM2 | 5 |
Hypomyelination- unsolved | 5 | Interstitial deletion of 18q chromosome | 1 |
Krabbe | 1 | Mitochondrial (MELAS, Kearn Sayre, pyruvate dehydrogenase deficiency, POLG1) | 6 |
Megalencephalic Leukodystrophy with subcortical Cysts | 1 | MTHFR deficiency | 2 |
Metachromatic leukodystrophy | 5 | Mucopolysaccharidoses | 3 |
Pelizaeus Merzbacher Disease | 6 | Neuronal Ceroid Lipofuscinosis | 2 |
Pelizaeus Merzbacher like disease (GJC2) | 1 | Salla disease | 1 |
Unsolved Leukodystrophy | 20 | Peroxisomal biogenesis disorder and Neonatal Adrenoleukodystrophy | 2 |
Total | 50 | 28 |
SAS® version 9.1 was used to conduct all analyses. Cases were classified as one of three groups: acquired white matter disorders, leukodystrophies, or genetic leukoencephalopathies. For CNMC cases, frequency distributions were determined for all variables, and a one-way analysis of variance (ANOVA) procedure was used to determine whether differences in time to diagnosis and age at diagnosis existed between the three groups. Tukey’s studentized range test allowed for multiple comparisons within the model. Lastly, incidence within the Washington, D.C. metropolitan area among children ages 0 through 19 years for each white matter disorder group was calculated using population data estimated in CDC’s Wonder surveillance system. Patients were grouped according to year of birth and year of presentation and compared on a same year basis to average birth rates within those time periods.
Results
A data query of ICD-9 codes from the PPM and PHIS databases generated 704 possible cases of white matter disease; 455 patients did not meet inclusion criteria for white matter disorders because other disease states, including malignancy, infection and vascular disease were identified (Supplemental Data Table 1), 68 were duplicates and 16 were non-metropolitan cases. The 165 remaining patients included 50 leukodystrophy cases (Table 2, A), 28 genetic leukoencephalopathy cases (Table 2, B) and 87 acquired white matter disorder cases. In our leukodystrophy group, 20/50 had not achieved a specific etiologic diagnosis (40%), which is comparable to previous estimates of unsolved cases in large groups of patients affected by leukodystrophies10. Males made up the majority of each group, but females made up a larger proportion in the acquired group as compared to the inherited group (35% vs. 17%) (Supplemental Data Table 2). Frequency distributions indicate approximately half of all cases resided in Maryland (Supplemental Data Table 3). Nearly twice as many cases of acquired white matter disorders were black than white (26% versus 11.5%) (Supplemental Data table 4). An estimated 15 deaths occurred, with all of these deaths seen in the genetic white matter disorder cases (22 % mortality versus 0%) (Supplemental Data Table 2).
Incidence rates were calculated to include all children considered ‘at risk’ for white matter disease between January 1, 2004 through December 31, 2009 using population estimates of children up to age 19 residing in counties considered within the Washington, DC metropolitan area (Table 3). Incidence of leukodystrophy was 7.56 cases per 1 million children and Incidence of genetic leukoencephalopathy was 4.23 cases per 1 million children in the Washington DC metropolitan population, with a cumulative incidence for genetic white matter disease of 11.79 cases per 1 million children. Incidence of acquired white matter disorders was 13.14 cases per 1 million children. A fourth comparison group, progressive acquired white matter disorders, was created to compare incidence rates only and included those patients with NMO, MS, and other cases of acquired demyelinating disease with progressive symptoms. This incidence of progressive acquired white matter disorders was 4.83 cases per 1 million children. Incidence of either a heritable or acquired white matter disorder was 24.93 cases per 1 million children. Proportion of total children with white matter disease having leukodystrophy or genetic leukoencephalopathy was 47.27%±10.01%; 99% CI. Proportion of total children with a progressive white matter disorder having leukodystrophy or genetic leukoencephalopathy was 70.19%±11.16; 99% CI.
Table 3.
Disorder | PHIS and PPM CNMC data set* |
---|---|
Multiple sclerosis | 27 cases (4.08 cases/1 million children) ** |
Neuromyelitis optica | 5 cases (0.76 cases/1 million children) |
Transverse Myelitis | 5 cases (0.76 cases/1 million children) |
Optic Neuritis | 19 cases (2.87 cases/1 million cases) |
Acute disseminated encephalomyelitis | 26 cases (3.93 cases/1 million children) |
Leukodystrophy | 50 cases (7.56 cases/1 million children) |
Genetic leukoencephalopathy | 28 cases (4.23 cases/1 million children) |
Total progressive acquired white matter# | 32 cases (4.83 cases/1 million children) |
Total acquired white matter | 87 cases (13.14 cases/1 million children) |
Total Inherited white matter | 78 cases (11.79 cases/1 million children) |
Total acquired and inherited white matter disease | 165 (24.9 cases/1 million) |
Abbreviations: PHIS (Pediatric Health Information System), PPM (Physician Practice Management system), CNMC (Children’s National Medical Center)
All cases 0–19 years diagnosed with white matter disorders between January 1, 2004–December 31,2009
CDC Wonder Surveillance Census Projection Estimates for the years 2004–2009 for children ages 0–19: 6, 619, 841 children in the DC metro area (denominator used to calculate incidence estimates)
an additional 5 cases of progressive acquired white matter not otherwise specified (NOS) were identified that did not fulfill full criteria for MS but are still reflected in the total progressive acquired white matter disorder cases.
total progressive acquired demyelinating disorders included MS, and NMO
Among CNMC data, the mean time from original presentation to diagnosis was 1 year and 4 months in the leukodystrophy group, 9 months in other genetic leukoencephalopathies, and was 5 months in the acquired demyelinating group (p < 0.01; Supplemental Data Table 2). The acquired white matter group had a mean age of diagnosis of 10 years, significantly higher than for the genetic leukodystrophies (p < 0.0001). Mean age of diagnosis for leukodystrophies (6 years) and genetic leukoencephalopathies (4 years) showed no significant difference (Supplemental Data Table 2).
Discussion
In the Washington DC metropolitan region, confirmed cases of genetic pediatric white matter disease were more than twice as common as progressive acquired white matter disease (MS and NMO) and nearly as common as all forms of acquired white matter disease combined. The incidence in the Washington DC region (approximately 1.2 per 100,000 children) for genetic white matter disease are relatively close to previous incidence rates of 1/100,000 described for these disorders as a group,1 though much less than some recent studies which suggested the incidence might be as high as 1/8,000.2 This discrepancy may represent differences in patient capture or differences in case definition. Additionally, other disease specific studies of incidence, such as in adrenoleukodystrophy, are often based on biochemical and DNA sequencing test results, and as such ascertain cases very differently than our study which was based on symptomatic patients seeking treatment.11 Population demographics may also contribute to this difference. Within a racially and ethnically diverse population in the Washington, DC metropolitan area, 33 percent of leukodystrophy cases were African American, 58 percent were Caucasian and 13 percent of leukodystrophy cases identified themselves as Hispanic. This suggests that these disorders also clearly affect a broad range of ethnic and racial populations.
In this population, we also validated previous findings of an incidence of pediatric acquired demyelinating disease of approximately 1–1.5/100,000. 7, 8 For the purposes of this study, it is assumed that a significant proportion of children with acquired and inherited disorders of white matter in children living in the Washington, DC, metropolitan area would be referred to this institution. It is also assumed that the proportion of children with acquired or genetic white matter disorders referred to CNMC would be similar to that of the general population. The fact that our incidence values of acquired demyelinating disease are similar to those established in other studies suggests that we adequately captured cases in this geographic area.7, 8
An additional limitation of this study design is the difficulty of using ICD-9 codes in epidemiologic studies. This may be particularly true for inherited white matter disorders of the brain for which very few have specific ICD-9 codes, contrary to acquired white matter disorders. Therefore, our incidence values may under represent the true incidence of heritable white matter disorders of the brain due to the difficulty of detecting subjects with rare disorders using only ICD-9 data.
Although this study was done at an institution where a specialized clinic attracts patients with acquired and genetic white matter disease, care was taken to exclude all cases from outside a defined geographic area. The denominator used was comprised of population estimates from CDC’s Wonder surveillance system, which is considered a leading source of population information and should be a relatively accurate population number. Overall, these limitations are not likely to provide a bias towards either acquired or genetic white matter disease cases but rather demonstrate the critical need for future research to provide better incidence estimates of these disorders throughout the US. Incidence rates in our studies were similar to those done in some previous studies
Additional findings of interest in the Washington, DC, population include statistically significant differences in mortality, which may reflect the fact the acquired disorders are more often monophasic. Leukodystrophies were also notable for a statistically significant increase in time to diagnosis from first presentation, which may be due to the difficulties of achieving a specific diagnosis in this population or due to the inherent acute nature of presentations of ON, TM, ADEM or even MS. Our study population was consistent with the current literature in that nearly 50 percent of the leukodystrophy patients had a heritable white matter disorder of unknown origin10. The combination of increased incidence, increased mortality, and prolonged time to diagnosis suggests that there may be a significant health impact, both emotionally and financially, for children with a leukodystrophy and their families and communities.
Finally, certain acquired white matter diseases present as monophasic events and may result in full recovery. Conversely, inherited white matter disorders of the brain are degenerative disorders with deteriorating neurologic function over time.12 We hypothesize that the burden of disease is significant in children and families with leukodystrophies or genetic leukoencephalopathies. This is due to the significant morbidity of these disorders, the difficulty in achieving a diagnosis and their incidence. Together, the frequency and morbidity of heritable white matter disorders justifies further study as well as increased awareness.
Conclusions
The incidence of pediatric heritable disorders of the white matter (approximately 1/100,000 children) is at least equal to that of progressive acquired demyelinating disorders such as MS and NMO, and possibly as great as all acquired demyelinating disorders combined in the pediatric age group, including MS, NMO, ADEM, TM and ON. In addition, the greater mortality, length of time to and uncertainty of diagnosis in genetic white matter disease compounds the impact of these devastating disorders. Further study is necessary to establish a more precise estimate for the incidence of heritable white matter disease overall and of specific leukodystrophies.
Supplementary Material
Footnotes
Adeline Vanderver, MD, is supported by grants from NINDS, the Dana Foundation and the Seventh Framework Program. She has no conflicts of interest to disclose
Heather Hussey, MPH, is currently employed by the American Academy of Otolaryngology—Head and Neck Surgery. She has no conflicts of interest to disclose.
Johanna L. Schmidt, MPH, MGC, is supported by the Department of Neurology and the Seventh Framework Program. She has no conflicts of interest to disclose.
William Pastor, MA, MPH, is employed at Children’s National Medical Center. He has no conflicts of interest to disclose
Heather J. Hoffman, PhD, is currently employed by The George Washington University, Department of Epidemiology and Biostatistics. She has no conflicts of interest to disclose.
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References
- 1.Heim P, Claussen M, Hoffmann B, et al. Leukodystrophy incidence in Germany. American journal of medical genetics. 1997;71:475–478. [PubMed] [Google Scholar]
- 2.Bonkowsky JL, Nelson C, Kingston JL, Filloux FM, Mundorff MB, Srivastava R. The burden of inherited leukodystrophies in children. Neurology. 75:718–725. doi: 10.1212/WNL.0b013e3181eee46b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Duffner PK, Jalal K, Carter RL. The Hunter’s Hope Krabbe family database. Pediatric neurology. 2009;40:13–18. doi: 10.1016/j.pediatrneurol.2008.08.011. [DOI] [PubMed] [Google Scholar]
- 4.Bonkowsky JL, Nelson C, Kingston JL, Filloux FM, Mundorff MB, Srivastava R. The burden of inherited leukodystrophies in children. Neurology. 2010;75:718–725. doi: 10.1212/WNL.0b013e3181eee46b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Patel YBV, Krupp L. Pediatric multiple sclerosis. Annals of Indian Academy of Neurology. 2009;12:238–245. doi: 10.4103/0972-2327.58281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chitnis T, Glanz B, Jaffin S, Healy B. Demographics of pediatric-onset multiple sclerosis in an MS center population from the Northeastern United States. Mult Scler. 2009;15:627–631. doi: 10.1177/1352458508101933. [DOI] [PubMed] [Google Scholar]
- 7.Banwell B, Kennedy J, Sadovnick D, et al. Incidence of acquired demyelination of the CNS in Canadian children. Neurology. 2009;72:232–239. doi: 10.1212/01.wnl.0000339482.84392.bd. [DOI] [PubMed] [Google Scholar]
- 8.Langer-Gould A, Zhang JL, Chung J, Yeung Y, Waubant E, Yao J. Incidence of acquired CNS demyelinating syndromes in a multiethnic cohort of children. Neurology. 2011;77:1143–1148. doi: 10.1212/WNL.0b013e31822facdd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ketelslegers IA, Catsman-Berrevoets CE, Neuteboom RF, et al. Incidence of acquired demyelinating syndromes of the CNS in Dutch children: a nationwide study. Journal of neurology. 2012;259:1929–1935. doi: 10.1007/s00415-012-6441-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Schiffmann RvdKMS. Invited Article: An MRI-based approach to the diagnosis of white matter disorders. Neurology. 2009;72:750–759. doi: 10.1212/01.wnl.0000343049.00540.c8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bezman L, Moser AB, Raymond GV, et al. Adrenoleukodystrophy: incidence, new mutation rate, and results of extended family screening. Ann Neurol. 2001;49:512–517. [PubMed] [Google Scholar]
- 12.Aicardi J. The inherited leukodystrophies: a clinical overview. J Inherit Metab Dis. 1993;16:733–743. doi: 10.1007/BF00711905. [DOI] [PubMed] [Google Scholar]
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