Published online September 1, 2004
PEDIATRICS Vol. 114 No. 3 September 2004, pp. 645-650 (doi:10.1542/peds.2003-1151-L)
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Longitudinal Assessment of Adaptive Behavior in Infants and Young Children With Newly Diagnosed Epilepsy: Influences of Etiology, Syndrome, and Seizure Control

Anne T. Berg, PhD*, Susan N. Smith, MS{ddagger}, Daniel Frobish, MS§, Barbara Beckerman, MS{ddagger}, Susan R. Levy, MD{ddagger},||, Francine M. Testa, MD{ddagger},|| and Shlomo Shinnar, MD, PhD

* Department of Biological Sciences, Northern Illinois University, DeKalb, Illinois
{ddagger} Department of Pediatrics, Yale Medical School, New Haven, Connecticut
§ Department of Mathematics, Northern Illinois University, DeKalb, Illinois
|| Department of Neurology, Yale Medical School, New Haven, Connecticut
Departments of Neurology and Pediatrics, Montefiore Medical Center and Albert Einstein College of Medicine, New York, New York


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Objectives. The outcomes of childhood-onset epilepsy are highly varied and have several potential determinants. We examined the independent effects of syndrome type, seizure control, and etiology over time on adaptive behavior as measured by the Vineland Scales of Adaptive Behavior.

Methods. As part of a prospective community-based study of newly diagnosed epilepsy, parents of children who were younger than 3 years at the time of initial onset of epilepsy completed the Vineland Adaptive Behavior Scales screener version at entry into the study and once a year thereafter for up to 3 years. Longitudinal analyses were performed on the composite score as the primary outcome and on the 4 domain scores (communication, socialization, motor, and daily living) as confirmatory/secondary outcomes to determine the effects of syndrome (epileptic encephalopathy or other), seizure control (intractable or not), and etiology (symptomatic or not) on adaptive behavior at the time of initial diagnosis and over time.

Results. A total of 613 children were enrolled in the study, and 191 (31%) of these children met the age criterion for this analysis. Of these, 172 (90%) had adequate follow-up and had completed baseline and at least 1 subsequent Vineland assessment. Overall, Vineland scores (composite and individual domains) were somewhat below average at baseline (initial diagnosis). All declined significantly over time. All of the effects at baseline, however, were limited to children with epileptic encephalopathies and symptomatic etiology. Substantial declines over time occurred in these children, and there was an independent effect of intractable seizures as well. In children with none of these factors (~75% of the study group), baseline scores were consistent with average performance for the test norms and there was no evidence of any decline over time.

Conclusions. Children with an underlying symptomatic etiology or a syndrome that can be characterized as 1 of the epileptic encephalopathies demonstrate impaired adaptive behavior at the time of initial diagnosis and experience additional declines in assessments of age-adjusted performance over time. Our results suggest that future seizure outcome is not strongly reflected in adaptive behavior at initial diagnosis but that it takes its toll on the child over time. Understanding how each of these factors affects development and how they interact with each other is the next step in designing effective interventions for lessening the impact of these disorders on the child. In the majority of children with onset of epilepsy during infancy or early childhood, adaptive behavior is within the normal range and does not show any evidence of declining over time. Although this is encouraging, it does not contradict other studies that have demonstrated behavioral and relatively subtle cognitive difficulties in school-aged children with epilepsy. Long-term follow-up in this cohort will permit us to examine the predictive value of the Vineland for later behavioral and cognitive difficulties in this group that, so far, seems to be doing well.


Key Words: epilepsy • adaptive behavior • development • epileptic encephalopathy • longitudinal analysis

Early views maintained that seizures damaged the brain and that children with epilepsy suffered potentially severe consequences as a result of having epilepsy. Ellenberg and Nelson1 provided the first compelling evidence that this was not necessarily the case. In their study, they were able to demonstrate no significant change in full-scale IQ in otherwise neurologically normal children by comparing measures taken before and after the onset of epilepsy. Because of the study design, their analysis considered only children who were older than 4 years at the time of initial onset of epilepsy. The epilepsies are a highly diverse group of disorders with different types of epilepsy occurring at different ages.2 Onset of epilepsy during infancy and very early childhood may be particularly problematic as this is the age when some of the most serious forms of epilepsy, the epileptic encephalopathies, initially occur.3 One population-based study examined the seizure outcomes in children who were younger than 2 years at the onset of the epilepsy and found etiology to be the strongest determinant of both seizure control and normal mental development.4 The role of syndrome type and the independent influences of etiology, seizure control, and syndrome type on development are still not well understood.

In a prospective, community-based cohort, we examined over the first 3 years after the initial diagnosis the performance on the Vineland Scales of Adaptive Behavior of young children who received a diagnosis of epilepsy. Our specific goals in this set of analyses were to determine whether adaptive behavior was consistent with expectation for age at initial onset and whether it changed over time. Furthermore, we examined the independent roles of syndrome type, etiology, and seizure control on changes in the age-appropriate levels of adaptive behavior over time.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The study sample came from a prospective community-based cohort of 613 children who initially received a diagnosis of epilepsy between 1993 and 1997 in Connecticut. Families were recruited from the practices of 16 of the 17 pediatric neurologists who were practicing in the state during that time. The parents were interviewed at initial entry into the study, and medical records were reviewed. Informed written consent was obtained before including a family in the study. All procedures were approved by the institutional review boards of all participating institutions. Full details of the recruitment and eligibility criteria as well as study methods have been previously described.5 For this presentation, we have included only children who were younger than 3 years at the initial onset of their epilepsy. We restricted the group to this young age so that adaptive behavior measures would primarily reflect development and not other environmental factors.

Epilepsy syndrome,6 seizure type(s),7 and etiology8 were classified by 3 pediatric neurologists (S.S., S.R.L., and F.M.T.) according to current, published criteria from the International League Against Epilepsy. Classifications were performed at initial study entry and then again 2 years later. We have used the syndrome and etiology as classified at 2 years. In particular, we identified children whose syndrome fell in the class of syndromes now considered to be epileptic encephalopathies.3 These include but are not limited to well-known and fairly common syndromes such as West and Lennox-Gastaut. In this age group, most children whose syndromes are not within the epileptic encephalopathy cluster have a nonidiopathic localization-related syndrome or an unclassified form of epilepsy.

Because there are very few children with idiopathic syndromes in this age group, we combined idiopathic and cryptogenic and compared this combined group (nonsymptomatic) with children with remote symptomatic causes. Remote symptomatic is used to indicate that an individual has a known brain insult or condition that is associated with an increased risk of epilepsy.8 This evidence may come from the history, examination, neuroimaging study, or other sources. The notion is that the condition or insult is, at least in part, responsible for the occurrence of seizures in that individual. Seizures that occur in the immediate context of an acute insult are considered acute provoked or acute symptomatic and are not part of the spectrum of epilepsy proper (recurrent unprovoked seizures).

Children were followed prospectively from the time of initial diagnosis by telephone every 3 months. Information regarding the occurrence of seizures was collected and summarized by year of follow-up. Seizure outcome was classified as intractable when a child failed trials of 2 antiepileptic drugs and had an average of at least 1 seizure per month over an 18-month period during the first 3 years of follow-up.

The Vineland Scales of Adaptive Behavior Screener was administered to the parent by a research associate at the time of the initial intake interview and once a year thereafter.9,10 The Vineland focuses on behaviors needed to operate in an age-appropriate manner in the individual's environment. It thus is age specific. The Vineland provides an overall composite score as well as domain scores for communication, daily living skills, socialization, and motor skills. For infants and very young children, the behaviors assessed are closely correlated with developmental milestones. The Vineland scores are standardized to a mean of 100 and a standard deviation of 15 based on a normative population sample.9

Children who were followed for <3 years and those who did not have a baseline Vineland or were missing all follow-up Vineland administrations were excluded. Other than limiting analyses to children with reasonably complete data, we did not make additional adjustment or use imputation methods for missing Vineland observations.

Analyses were conducted using t tests and analysis of variance for bivariate comparisons. To examine the longitudinal changes in Vineland scores, we used a longitudinal multiple regression analysis algorithm that takes into account the intercorrelations between repeated measures made in an individual. Analyses were performed to determine the associations of the covariates with the overall composite score and with each of the 4 domain scores. Interaction terms were used to reflect the changes in scores within certain subgroups over time. The algorithm provided by the "Mixed" procedure in SAS was used for longitudinal analyses.11 This procedure provides a flexible means to account for the correlation between the 4 scores measured on each patient for each domain. Schwarz' Bayesian Information Criterion was used to select an appropriate correlation structure for each domain.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Of the 613 children enrolled in the study, 191 (31%) were younger than 3 years at the time of their initial unprovoked seizure (onset of epilepsy). Ten were excluded because of inadequate follow-up (<3 years) or because they were missing baseline Vineland measures. Of the remaining 181, another 9 were excluded because no additional Vineland data were available after initial study entry. Thus, analyses are based on 172 (90%) of the children who were younger than 3 years at onset of epilepsy. Of these, 121 had all 3 possible postentry Vineland measures, 33 had 2, and 18 had 1.

The distribution for the age at onset (first unprovoked seizure) by 6-month intervals (<6, 6–11, 12–17, 18–23, 24–29, 30–35 months) was 44 (25%), 32 (19%), 24 (14%), 15 (9%), 23 (13%), and 34 (20%). Poor seizure control sufficient to meet our criteria for intractability was evident in 29 (17%) of the children.

Etiology was considered nonsymptomatic (ie, cryptogenic or idiopathic) in 124 (72%) of the children and symptomatic in the other 48. Specific remote symptomatic etiologies included intrauterine insult (n = 13); intraventricular hemorrhage, stroke, or hypoxic encephalopathy (n = 6); brain malformations (n = 11); previous central nervous system infection (n = 6); neurocutaneous syndrome (n = 3); chromosomal anomaly (n = 5); and other (n = 4).

The syndrome was considered 1 of the epileptic encephalopathies in 50 (29%) children. These included 18 West syndrome, 13 Lennox-Gastaut syndrome, 6 Doose syndrome (or myoclonic astatic epilepsy), 2 Dravet syndrome (or severe myoclonic epilepsy of infancy), 8 symptomatic generalized epilepsies, and 3 others. In the remaining 122, the syndromes were classified as symptomatic (n = 23) or cryptogenic (n = 66) localization-related epilepsy, idiopathic generalized epilepsy (n = 8), and unclassified epilepsy (n = 25).

Vineland Scores Initially and Over Time
The Vineland scores at initial entry into the study reflected adaptive behavior competency that was slightly below average. Over time, significant declines in the composite as well as all 4 domain scores were observed (Table 1).


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TABLE 1. Mean Vineland Scores at Initial Study Entry and Over Time for the Full Study Sample (n = 172)

 
Characteristics of Children and Associations With Baseline Adaptive Behavior
The association between the characteristics of the children and the baseline Vineland scores are presented in Table 2. Remote symptomatic etiology, epileptic encephalopathy diagnosed by the second year, and eventual seizure outcome all are associated with lower scores on the Vineland, overall (composite) and across the 4 domains (communication, socialization, daily living, and motor). With the exception of the daily living composite score, there were no clear correlations between age at onset and adaptive behavior


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TABLE 2. Association of Cohort Characteristics With the Composite and Domain Scores for Adaptive Behavior at the Time of Initial Diagnosis

 
Remote symptomatic etiology, epileptic encephalopathy, and intractable seizures were all very strongly intercorrelated (Table 3). Nonetheless, there were sufficient numbers of individuals in each group defined by these 3 variables to permit longitudinal, multivariable analysis and to estimate the effect of each variable adjusted for the other 2.


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TABLE 3. Associations Between Etiology, Epileptic Encephalopathy, and Intractability

 
Longitudinal Analysis
In the longitudinal analysis (Table 4), we used statistical interaction terms to estimate changes over time associated with etiology, syndrome type, and seizure outcome. Consequently, the results for etiology, syndrome type, and seizure outcome represent the effects of these factors only on the baseline scores. Children with symptomatic etiology initially had substantially lower scores overall and in all 4 domains reflecting communication, socialization, motor skills, and daily living skills. After adjustment for etiology, the effects of having a syndrome characterized as an epileptic encephalopathy were, in all, modest and only marginally significant. Motor and socialization domains seemed to be substantially lower in children with these syndromes compared with children who had other forms of epilepsy. There were considerably smaller and nonsignificant effects seen for the other 2 domains. Of note, children who eventually developed intractable epilepsy, after adjustment for etiology and syndrome type, had scores that were not significantly lower at baseline compared with children whose epilepsy was not intractable. Age at onset of epilepsy, with the exception of the daily living domain, was not associated with adaptive behavior.


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TABLE 4. Results of Longitudinal Analysis of Adaptive Behavior Scores Over Time

 
The results for the time variable must be interpreted in light of the interaction terms in the model. The results indicate that, in children who have cryptogenic etiology, whose syndromes were not from the epileptic encephalopathy cluster, and whose seizures were not intractable, there was no substantial or significant change in adaptive functioning over time, either overall or in any of the 4 domains measured. By contrast, children who have remote symptomatic etiology, who have syndromes in the epileptic encephalopathy group, and whose seizures were intractable experienced declines over time relative to the level expected for their age. For example, children with remote symptomatic etiology dropped an estimated 3.6 points from their composite score each year from one year to the next. For a child who had all 3 features (intractability, symptomatic etiology, and epileptic encephalopathy), this model predicts a drop of ~12 points (nearly a standard deviation) every year. Significant decreases over time were seen in 2 or 3 of the 4 domain scores for each of these 3 time interactions, with daily living and communication being the most consistently involved.

Because the epileptic encephalopathies are typically characterized by failure to acquire normal developmental milestones and sometimes even declines in function, we also performed the longitudinal analysis separately in those with and without these types of syndromes. We found similar patterns of effects in the 2 groups. Specifically, there was an independent negative effect of remote symptomatic etiology at baseline and over time. Children with poor seizure outcomes experienced declines in adaptive behavior scores over time, although they were not significantly worse off at the time of initial diagnosis. The only difference that we found in the 2 groups defined by syndrome type was that there was a small drop in Vineland scores with time in the epileptic encephalopathy group even after adjusting for etiology and seizure outcome (–3.6 points per years; P = .031) for the composite score. Of the 4 domains, this effect was statistically significant only for the communication score (–3.9 points per year; P = .029). These results were largely evident already in the overall longitudinal analysis.

Figure 1 emphasizes the main findings of these analyses. Neurologically intact children whose seizures are not intractable and whose syndrome was not among those in the epileptic encephalopathy cluster initially seem average (normal) on measures of adaptive functioning. Their continued average adaptive function scores over the first 3 years after diagnosis indicate that they acquired the necessary skills to maintain an age-appropriate performance over time. By contrast, children with one of the syndromes in the epileptic encephalopathy cluster, intractable seizures, or remote symptomatic etiology tend to be impaired from the start. The drop in their age-adjusted scores over time indicates that they did not acquire the necessary skills at the necessary rate to maintain even their relatively lower age-adjusted adaptive behavior level.


Figure 1
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Fig 1. Adaptive behavior scores over time since initial diagnosis of epilepsy in children with none (solid line) versus with 1 or more of the factors associated with poor outcome (dashed line). Confidence intervals are indicated by the vertical bars at each of the points in time that assessments were made.

 

    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The reputation of pediatric epilepsy has undergone major changes over the past several decades. Fifty years ago, it was generally considered a highly serious, progressive, and often devastating disease. In the wake of numerous epidemiologic studies and well-conducted clinical studies, many began to view childhood epilepsy as a substantially more benign disorder. Both views are correct in that there are some children who experience a devastating course whereas others, fortunately the majority, do well. Increasingly, emphasis is being placed on the functional (educational, social, and psychological) outcomes of the child and not just seizure control. Infancy and early childhood are particularly worrisome times, because this is when some of the most catastrophic forms of pediatric epilepsy have their initial onset. In addition, the most commonly recognized, relatively benign epilepsies of childhood (eg, childhood absence, Rolandic) typically occur at slightly later age (4 years and up). Little is known about the impact of epilepsy in infants and young children apart from the devastating effects of epileptic encephalopathies and factors related to them (intractable seizures and symptomatic etiology).

Our results clarify certain issues. Children with syndromes in the epileptic encephalopathy group do poorly even after controlling for symptomatic etiology and poor seizure control, although some of the effect of these syndromes is partially explained by these other 2 factors. This is not at all surprising and very much conforms to what one would expect on the basis of the detailed clinical descriptions of these syndromes and their prognoses.2 These are syndromes marked by deterioration in broad aspects of neurologic function.3

In children who have remote symptomatic conditions but did not have syndromes classified as one of the epileptic encephalopathies, adaptive function is significantly and substantially lower at initial diagnosis of epilepsy. What was not anticipated was that measures of adaptive function would continue to decline over time in this group. This suggests that these children failed to acquire sufficient age-appropriate skills over time either because of a loss of skills in some or, more likely, a failure to acquire new skills or acquisition of new skills at an inadequate rate. Overall, this is a group that, given its high risk for poor developmental outcomes, may be targeted for aggressive early intervention and, for the most part, already is.

In the majority of the study group—children who have nonsymptomatic epilepsy and whose syndromes were not part of the spectrum of epileptic encephalopathy—there was no evidence, at the time of diagnosis, that these children were in any way disadvantaged with respect to adaptive behavior. Furthermore, over time, there was no evidence that their adaptive functioning declined. This suggests that they developed relatively normally. Only 3 children in this group developed intractable seizures. Despite the small number, there was evidence of a substantial decline in adaptive function in this group. For example, the composite score fell from 84 at initial study entry to 54 at 3 years. It would be preferable to validate this finding in a much larger sample; however, our initial interpretation is that this result suggests an independent effect of uncontrolled seizures on development.

The effects that we found over time (modeled by interactions) were evident in the composite scores and also largely reflected in the individual domain scores. All domain scores showed declines over time in children with any of the 3 main features that we considered (etiology, epileptic encephalopathy, and intractability). Statistically significant declines were most consistently seen for the daily living skills domain and least consistently for socialization. Analysis of individual domain scores may or may not shed additional light on the effects that epilepsy has on these children; however, the extent to which the results are consistent helps to bolster interpretation of findings for the composite measure.

Because there are many facets of behavior that can be measured and studied, it is essential to recognize what the Vineland Scales do and do not reflect. They measure adaptive behaviors that an individual, in this case an infant or very young child, routinely performs in his or her everyday life. Information is collected by interviewing the parent. The Vineland focuses on very basic routine behaviors that depend on social, communicative, and motor skills. For this reason, it is a good reflection of development, as perceived and reported by the parent(s), during the first several years of life. Because of its brief, standardized administration, it is also suitable for repeated use in a large research study such as this. Adaptive behavior is not, however, the same as a detailed neuropsychological examination in an older child or an adult. It also is not a measure of behavioral, cognitive, and psychiatric disorders, many of which are not readily diagnosable until later in childhood and adolescence. Consequently, we could not address whether these children, when they go to school, will perform as expected or have selective difficulties, behavioral disorders, or any of a host of other problems that are simply not reflected in what the Vineland was designed to measure. For these reasons, our results do not contradict in any way the findings of other groups that have demonstrated a variety of difficulties in children with epilepsy.12,13 Evidence of high levels of psychiatric and behavioral disorders and educational, neuropsychological, and social problems have been repeatedly reported in children with epilepsy.14 Population-based studies have demonstrated a higher-than-expected likelihood of a variety of negative educational and social outcomes in neurologically normal individuals who, as adults, were completely seizure-free.15,16

All of the findings suggesting poorer-than-expected social and educational outcomes in individuals with childhood-onset epilepsy despite good seizure outcomes are real. These are factors that often cannot be assessed reliably until an individual is much older. The extent to which adaptive behavior measured early in life reflects normal functioning in different areas later in life is largely unknown. In the current phase of this study, we are in the process of inviting participants to have a neuropsychological assessment at ~9 years after their initial diagnosis of epilepsy. Comparison of these more detailed neuropsychological results with the measures of adaptive behavior taken years earlier will enable us to determine the extent to which the early measures are able to reflect future performance. For the time being, however, our findings provide reassurance regarding basic development and adaptive behavior in the majority of infants and young children with epilepsy.


    ACKNOWLEDGMENTS
 
This work was supported by grant NS31146 from the National Institute of Neurological Disorders and Stroke.

We are especially grateful to all of the physicians in Connecticut who have referred their patients to this study. Eugene Shapiro has kindly facilitated many administrative aspects of the study for us. This study would not be possible without the generous participation of the many parents and their children in this study.


    FOOTNOTES
 
Accepted Mar 2, 2004.

Reprint requests to (A.T.B.) Neuroepidemiology Group, Department of Biological Sciences, Northern Illinois University, DeKalb, IL 60115. E-mail: atberg{at}niu.edu


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Ellenberg JH, Hirtz DG, Nelson KB. Do seizures in children cause intellectual deterioration? N Engl J Med. 1986;314 :1085 –1088[Abstract]
  2. Roger J, Bureau M, Dravet C, Genton P, Tassinari CA, Wolf P. Epileptic Syndromes in Infancy, Childhood, and Adolescence. Eastleigh, United Kingdom: John Libbey; 2002
  3. Dulac O. Epileptic encephalopathy. Epilepsia. 2001;42(suppl 3) :23 –26
  4. Rantala H, Ingalsuo H. Occurrence and outcome of epilepsy in children younger than 2 years. J Pediatr. 1999;135 :761 –764[CrossRef][ISI][Medline]
  5. Berg AT, Shinnar S, Levy SR, Testa FM. Newly-diagnosed epilepsy in children: presentation at diagnosis. Epilepsia. 1999;40 :445 –452[CrossRef][ISI][Medline]
  6. Commission on Classification and Terminology of the International League Against Epilepsy. Proposal for revised classification of epilepsies and epileptic syndromes. Epilepsia. 1989;30 :389 –399[ISI][Medline]
  7. Commission on Classification and Terminology of the International League Against Epilepsy. Proposal for revised clinical and electrographic classification of epileptic seizures. Epilepsia. 1981;22 :489 –501[ISI][Medline]
  8. Commission on Epidemiology and Prognosis, International League Against Epilepsy. Guidelines for epidemiologic studies on epilepsy. Epilepsia. 1993;34 :592 –596[CrossRef][ISI][Medline]
  9. Sparrow SS, Balla DA, Cicchetti DV. Vineland Adaptive Behavior Scales: Interview Edition Survey Forms Manual. Circle Pines, MN: American Guidance Service; 1984
  10. Cicchetti DV, Sparrow SS, Carter A. Development and Validation of Two Vineland Adaptive Behavior Screening Instruments. San Francisco, CA: American Psychological Association; 1991
  11. Little RC, Milliken GA, Stroup WW, Wolfinger RD. SAS System for Mixed Models. Cary, NC: SAS Institute Inc; 1996
  12. Dunn DW, Austin JK, Huster GA. Behaviour problems in children with new-onset epilepsy. Seizure. 1997;6 :283 –287[CrossRef][ISI][Medline]
  13. Austin JK, Harezlak J, Dunn DW, Huster GA, Rose DF, Ambrosius WT. Behavior problems in children before first recognized seizures. Pediatrics. 2001;107 :115 –122[Abstract/Free Full Text]
  14. Austin JK, Dunn DW. Progressive behavioral changes in children with epilepsy. In: Sutula T, Pitkanen A, eds. Progress in Brain Research. Vol. 135. Amsterdam, Netherlands: Elsevier Science BV; 2002:419–426
  15. Camfield C, Camfield P, Smith B, Gordon K, Dooley J. Biologic factors as predictors of social outcome of epilepsy in intellectually normal children: a population-based study. J Pediatr. 1993;122 :869 –873[ISI][Medline]
  16. Sillanpaa M, Jalava M, Kaleva O, Shinnar S. Long-term prognosis of seizures with onset in childhood. N Engl J Med. 1998;338 :1715 –1722[Abstract/Free Full Text]

PEDIATRICS (ISSN 1098-4275). ©2004 by the American Academy of Pediatrics



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Behavioral and Emotional Problems in Children With Epilepsy
J Child Neurol, November 1, 2006; 21(11): 939 - 945.
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