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Abstract

Objective

This research study aimed to assess national trends in pediatric use of anticonvulsants for seizures and psychiatric disorders.

Methods

In a cross-sectional design, data from the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey were analyzed. Outpatient visit information for youths (ages 0–17 years) was grouped by year for 1996–1997, 2000–2001, 2004–2005, and 2008–2009. Six of the most common anticonvulsant drugs used for psychiatric conditions were examined. Psychiatric diagnoses and seizure or convulsion diagnoses were identified with ICD-9-CM codes. The primary outcome measure was percentage prevalence of visits for anticonvulsants that included a psychiatric diagnosis as a proportion of total youth visits for an anticonvulsant. Total, diagnosis-stratified, and drug-specific visits, as well as visits for concomitant anticonvulsants and psychotropics, were analyzed.

Results

As a proportion of total youth visits for anticonvulsants, visits with a psychiatric diagnosis increased 1.7 fold (p<.001), whereas the proportion of seizure-related visits did not change significantly. Regardless of diagnosis, anticonvulsant use significantly increased, from .33% to .68% of total youth visits in the 14-year period. There were significant increases in anticonvulsant use to treat pediatric bipolar disorder and disruptive behavior disorders. Visits noting divalproex decreased while visits noting lamotrigine increased among visits involving a psychiatric diagnosis. The concomitant use of stimulants and anticonvulsants significantly increased in visits noting a psychiatric diagnosis.

Conclusions

Whereas anticonvulsant use for seizure disorders across the 14-year period was stable, the use of these drugs for psychiatric conditions rose to a dominant position. The growth of concomitant and off-label use to treat behavioral disorders raises questions about effectiveness and safety in community populations of youths.

Anticonvulsant use for psychiatric conditions of children and adolescents has expanded considerably in the United States in the past 25 years. Over the period from 1987 to 1996, trend analyses for dispensed medications to treat emotional and behavioral disorders of youths revealed that anticonvulsant mood stabilizers increased 5.9 fold and 2.2 fold in two state Medicaid populations and 2.5 fold in a population insured through a health maintenance organization (HMO) (1). Likewise, in a household survey of U.S. parents who were queried about their children’s medical care, the prevalence of use of anticonvulsants, lithium, or both for mood stabilization increased more than threefold from 1987 to 1996 (2). A regional ten-year study of psychotropic prescribing trends similarly showed a twofold increase in the use of anticonvulsant mood stabilizers among HMO-insured youths ages five to 17 years over the period of 1994–2003 (3). This trend from 1987 through 2003 was consistent across studies, although the prevalence of use of these anticonvulsants was greater for those insured via Medicaid than through private insurance (1,3).

The temporal increase in prevalence of using anticonvulsants as a mood stabilizer among youths, however, did not differentiate trends in the proportional use of anticonvulsants as mood stabilizers versus their use for seizure disorders. In a 1992 study of continuously enrolled Tennessee Medicaid youths from birth to age 18 years who were new recipients of an anticonvulsant, 60% had a diagnosis of a seizure disorder, whereas 11% had a diagnosis of a psychiatric disorder (4). However, in a year 2000 mid-Atlantic Medicaid study of 4,522 continuously enrolled youths under age 18, 81% of those who were dispensed anticonvulsants had a psychiatric diagnosis and only 19% had a seizure diagnosis (5).

More recent data on anticonvulsant mood stabilizer use among youths are needed to clarify and update these trends. Consequently, we examined national prevalence trends of anticonvulsants for psychiatric indications in outpatient medical visits of children and adolescents over four periods between 1996 and 2009. These data extracts of physician office visits, which included the recording of prescribed anticonvulsant medications, were additionally assessed in terms of demographic and clinical drug treatment patterns and in relation to patient diagnoses. Additional data can shed light on psychiatric practice patterns involving use of anticonvulsants in view of boxed warnings from the Food and Drug Administration (FDA), pediatric clinical trial findings showing low effect size when using anticonvulsants to treat psychiatric disorders (6), and safety concerns about off-label uses, particularly for newer products, such as lamotrigine.

Methods

Data source and survey design

Data were derived from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS). These surveys are conducted annually by the National Center for Health Statistics (NCHS). The NAMCS is a nationally representative sample of visits to nonfederally employed office-based physicians who are primarily engaged in direct patient care. The NHAMCS is a nationally representative sample of visits to the emergency departments and outpatient departments of noninstitutional general and short-stay hospitals, exclusive of federal, military, and Veterans Affairs medical centers.

Both surveys have a similar structure. The NAMCS uses a multistage probability design, which includes samples from primary sampling units (a county, a group of adjacent counties, or a standard metropolitan statistical area), from physician practices according to specialty within these units, and from patient visits within these practices. The NHAMCS uses patient visits in hospitals within primary sampling units, in clinic outpatient departments, in emergency service areas within these hospitals, and in patient visits to these clinics. Data from a systematic random sample of patient visits from each physician practice are assessed. These data include patients’ demographic, clinical, and treatment characteristics. Following NCHS guidelines, we combined NAMCS and NHAMCS medical visit data from contiguous survey years to arrive at stable estimates.

Medical visits were grouped into time periods as follows: 1996–1997, 2000–2001, 2004–2005, and 2008–2009. Across the recorded years, survey response rates varied between 59% and 97%, with a median response rate of 85.4%. Each visit was assigned a value, the sum of which projected to an estimate of the total medical visits nationally. This value is referred to as the weighted value estimate and is a complex estimate based on three factors, as determined by the NCHS. Alongside these estimates, we included the actual recorded number of unweighted visits.

Demographic characteristics

Demographic data included patient age group (birth through age 13 years and ages 14 through 17 years), gender, and race-ethnicity. Race-ethnicity was divided into six categories: white, non-Hispanic; black, non-Hispanic; Hispanic; Asian; other race-ethnicity (Native American, Pacific Islander, or more than one race); and blank (respondent did not disclose).

Medications

Drug data were coded with the Ambulatory Care Drug Database System, a unique classification scheme developed at NCHS, where drugs are listed by entry name (the name used by the respondent to record the drug). In this study, anticonvulsant mood stabilizer drugs (when recorded as entities) were identified by their generic name. Psychotropic drug use was classified by therapeutic class, as represented in the National Drug Code Directory in survey years before 2006 and by the Cerner Multum, Inc., Lexicon Drug Database (7) for 2006 and later. Although the Multum database recognizes up to three therapeutic drug classes for each drug, our analysis considered the first, or primary, therapeutic indication to identify psychiatric drug use.

For survey years up to 2001, up to six medications were allowed to be recorded per medical visit, whereas in survey years 2002 and later, up to eight recorded medications were allowed. Medical visits in which anticonvulsants were prescribed for psychiatric indications included the generic code for divalproex, carbamazepine, gabapentin, lamotrigine, oxcarbazepine, or topiramate. Valproic acid and derivatives (sodium valproate and divalproex sodium) were represented under divalproex.

Visits with concomitant psychotropic medication use included any of the following drug classes: stimulants, antidepressants, antipsychotics, and other psychotropic drugs (anxiolytics, hypnotics, alpha-agonists, and lithium). For each anticonvulsant mood stabilizer visit associated with concomitant psychotropic use, the specific psychotropic class or classes were identified. The number of additional psychotropic drug classes was also analyzed and categorized into three groups: anticonvulsant alone, anticonvulsant plus one psychotropic class, and anticonvulsant plus two or more psychotropic classes.

Diagnoses

Diagnoses were recorded by physicians according to ICD-9-CM codes. We identified psychiatric diagnoses by ICD-9-CM codes 290.xx–319.xx and seizure and convulsive diagnoses by codes 345.xx and 780.3. Included as psychiatric diagnoses were codes 314–314.99 for attention-deficit hyperactivity disorder (ADHD); 312.00–312.49 and 312.80–312.99 for conduct disorder; 313.81 for oppositional defiant disorder; 296.00–296.19, 296.4–296.82, 296.89, 296.90, and 301.13 for bipolar disorder; and 296.2–296.3, 300.4, 311, 300–300.3, 300.5–300.9, 308.3, and 309.81 for depression and anxiety disorders. All other ICD-9-CM codes between 290 and 319 excluding the above-mentioned categories were labeled as “other psychiatric disorder.”

Up to three diagnoses could be recorded for each visit that noted use of an anticonvulsant mood stabilizer, and they were grouped accordingly into four mutually exclusive diagnostic categories: visits with a psychiatric diagnosis and no seizure diagnosis, visits with a seizure diagnosis and no psychiatric diagnosis, visits with both a psychiatric and a seizure diagnosis, and visits with neither a psychiatric nor a seizure diagnosis.

Analytic strategy

The primary independent variable was grouped study years, with demographic variables (gender, age group, and race-ethnicity) as covariates. The primary dependent variable (outcome) was the percentage of visits that noted both an anticonvulsant mood stabilizer and a psychiatric diagnosis, presented as a proportion of all youth visits that noted an anticonvulsant mood stabilizer. Total, diagnosis-stratified, and specific drug visits, as well as visits involving concomitant use of anticonvulsant and other psychotropic medications were analyzed and presented as a percentage of visits noting an anticonvulsant and a psychiatric diagnosis.

Chi square analyses were used to compare data between grouped years 1996–1997 and 2008–2009 to identify statistically significant temporal changes. All data analyses were performed with SAS version 9.2.

Results

Visits for psychiatric and seizure problems

Table 1 shows the percentage of psychiatric and seizure diagnoses as a proportion of all youth visits during the years 1996–1997 and 2008–2009. Visits with any seizure diagnosis did not significantly change across the 14-year period, remaining less than .2% of all youth visits (p=.347). Visits with a psychiatric diagnosis, however, increased significantly (p<.001) as a proportion of all youth visits from 3.71% (1996–1997) to 6.31% (2008–2009) (Table 1).

Table 1 All youth visits stratified by diagnosis for 1996–1997 and 2008–2009
1996–1997
2008–2009
χ2bp
DiagnosisNWVEa%95% CINWVEa%95% CI
Psychiatric2,41415,060,6183.713.20–4.232,75427,240,7846.315.37–7.2535.01<.001
Seizure or convulsive87510,053.13.04–.21329791,125.18.12–.25.89.347

a Weighted value estimate

b df=1

Table 1 All youth visits stratified by diagnosis for 1996–1997 and 2008–2009
Enlarge table

14-year trend in anticonvulsant mood stabilizer use

In 1996–1997, there were 1,343,469 visits (weighted) that documented use or prescription of an anticonvulsant mood stabilizer. By 2008–2009, there were 2,943,563 such visits (weighted). Among all outpatient youth visits, those for anticonvulsant mood stabilizers ranged from .33% of total visits in 1996–1997 to .65% in 2000–2001, to .58% in 2004–2005, and to .68% in 2008–2009 (data for two time points are shown on Table 2). Thus visits for anticonvulsant mood stabilizers essentially doubled from 1996–1997 to 2008–2009, regardless of indications for use.

Table 2 Visits for anticonvulsant mood stabilizers as a percentage of youth visits and stratified by demographic characteristics for 1996–1997 and 2008–2009
1996–1997
2008–2009
χ2bp
CharacteristicAnticonvulsant
mood stabilizer
Total youths (WVEa)%95% CIAnticonvulsant mood stabilizer
Total youths (WVEa)%95% CI
NWVEaNWVEa
Total2501,343,469405,409,507.33.22–.445372,943,563431,959,927.68.49–.8711.17<.001
Gender
 Female132814,117196,579,888.41.24–.592471,395,587206,755,481.68.47–.883.32.069
 Male118529,352208,829,619.25.16–.352901,547,976225,204,446.69.44–.9316.90<.001
Age group
 0–13163760,515336,298,680.23.13–.323481,664,664352,148,860.47.30–.657.46.006
 14–1787582,95469,110,827.84.41–.281891,278,89979,811,0671.601.08–2.134.23.040
Race-ethnicity
 White, non-Hispanic130923,916242,390,004.38.21–.552381,392,771178,678,430.78.51–1.056.45.011
 Black, non-Hispanic4594,04346,765,562.20.09–.3283306,75041,199,690.74.22–1.279.45.002
 Hispanic39200,62954,982,599.36.11–.6227c176,90539,637,952.45.00–.94.09.763
 Asian3c6,51010,300,494.06.00–.1512c83,79110,829,791.77.00–1.678.30.004
 Otherd7c10,9017,313,928.15.00–.3014c22,1316,570,887.34.00–.761.05.306
 Blanke26c107,47043,656,920.25.03–.47163961,215155,043,177.62.34–.903.99.046

a Weighted value estimate

b df=1 for gender and age group; df=5 for race-ethnicity

c The National Center for Health Statistics considers an estimate unreliable if it is based on fewer than 30 records.

d Includes Native Americans, Pacific Islanders, and mixed races

e Survey year 1997 allowed surveyors to record “blank” for ethnicity, and survey years 2008 and 2009 allowed surveyors to record “blank” for both ethnicity and race.

Table 2 Visits for anticonvulsant mood stabilizers as a percentage of youth visits and stratified by demographic characteristics for 1996–1997 and 2008–2009
Enlarge table

Anticonvulsant mood stabilizer visit characteristics

Table 2 describes the demographic characteristics of youths with anticonvulsant mood stabilizer visits in 1996–1997 and 2008–2009 in relation to all outpatient youth visits and stratified for selected patient characteristics. In 2008–2009, male youths were significantly more likely to be prescribed an anticonvulsant (p<.001) than in 1996–1997, as were youths in the younger age group (p=.006). Black youths had significantly more visits for anticonvulsants in 2008–2009 than in 1996–1997 (p=.002) as did white youths (p=.011). Asian youths were also significantly more likely to be prescribed an anticonvulsant mood stabilizer by 2008–2009 compared with 1996–1997 (p=.004). However, the extremely low raw counts suggest unreliable data.

Anticonvulsant mood stabilizer visits, by diagnostic group

Figure 1 describes the proportional distribution of visits for anticonvulsant mood stabilizers according to four mutually exclusive diagnostic categories. Proportionally, visits that included a psychiatric diagnosis and no seizure diagnosis more than doubled, from 28.9% in 1996–1997 to 65.4% in 2004–2005, followed by a significant drop to 50.1% in 2008–2009. The proportion of visits that included a seizure diagnosis and no psychiatric diagnosis fell by more than half, from 46.4% in 1996–1997 to 17.9% in 2004–2005, followed by a gradual decline to 15.2% in 2008–2009.

Figure 1 Changes in anticonvulsant mood stabilizer use over 14 years as a proportion of total youth visits for anticonvulsants, by diagnostic categorya

aError bars represent standard errors.

Visits for both psychiatric and seizure diagnoses did not change significantly across the years, remaining at 5.3% of visits or less. Although visits involving neither a psychiatric nor a seizure diagnosis fluctuated across the years, they represented nearly a third of total visits for anticonvulsants in 2008–2009 (31.9%), which included more than 400 unique diagnoses and symptom complaints. The major symptoms reported in this category were migraine or headache (7.93%), followed by many conditions suggesting their use in pain management (data not shown).

Specific psychiatric diagnostic patterns

Table 3 describes anticonvulsant mood stabilizer visits with an associated psychiatric diagnosis. ADHD or a conduct or oppositional defiant disorder diagnosis accounted for 24.1% of visits for anticonvulsant mood stabilizers in 1996–1997 and increased significantly to 62.1% in 2008–2009 (p<.001). Visits for anticonvulsant mood stabilizers to treat bipolar disorder significantly increased over time, from 24.8% to 56.8%, similar to the pattern for disruptive disorders. From 1996–1997 to 2008–2009, there were nonsignificant decreases in visits for anticonvulsant mood stabilizers to treat depression or anxiety disorders (from 44.6% to 29.8%) and other psychiatric diagnoses (from 19.7% to 14.2%).

Table 3 Diagnostic groups and specific medications for anticonvulsant mood stabilizer visits with a psychiatric diagnosis for 1996–1997 and 2008–2009
1996–1997
2008–2009
χ2bp
CharacteristicNWVEa%95% CINWVEa%95% CI
Psychiatric diagnosis
 ADHD, ODD, or CDc31110,85724.16.2–42.1103971,03762.147.0–77.114.10<.001
 Bipolar disorder15d113,95724.815.5–34.181888,08656.838.5–75.013.74<.001
 Depression or anxiety37204,88144.624.0–65.244465,71229.816.4–43.12.10.148
 Other18d90,57819.72.3–37.253222,58514.28.3–20.23.87.279
Drug entity
 Divalproex60330,69772.051.1–92.972480,93430.716.5–45.09.95.002
 Lamotrigine2d19,9434.3.0–10.555628,11940.130.0–50.324.48<.001
 Oxcarbazepine38241,19915.45.7–25.2
 Carbamazepine, topiramate, or gabapentin28d121,12326.46.0–46.742306,18219.610.4–28.7.43.510
Concomitant psychotropic classe
 ATC-MS + antipsychotic24d203,87044.430.8–57.976700,97044.833.0–56.6.00.962
 ATC-MS + antidepressant38143,51831.216.6–45.960569,28936.420.1–52.7.26.609
 ATC-MS + stimulant16d81,40617.71.2–34.373858,13654.840.9–68.813.32<.001
Number of concomitant psychotropic classese
 ATC-MS alone24d107,24423.311.4–35.348194,05012.47.3–17.55.46.019
 ATC-MS + 137287,89862.750.4–74.971629,03940.224.9–55.57.82.005
 ATC-MS + 2 or more26d64,34114.0.0–29.272741,69047.433.3–61.510.95<.001

a Weighted value estimate

b df=3 for psychiatric diagnosis and drug entity; df=2 for concomitant use and number of concomitant classes

c Attention-deficit hyperactivity disorder, oppositional defiant disorder, or conduct disorder

d The National Center for Health Statistics considers an estimate unreliable if it is based on fewer than 30 records.

e ATC-MS, anticonvulsant mood stabilizer

Table 3 Diagnostic groups and specific medications for anticonvulsant mood stabilizer visits with a psychiatric diagnosis for 1996–1997 and 2008–2009
Enlarge table

Anticonvulsant mood stabilizers for psychiatric indications

Table 3 also shows that divalproex use decreased significantly as a proportion of visits for anticonvulsant mood stabilizers and a psychiatric diagnosis, from 72.0% in 1996–1997 to 30.7% in 2008–2009 (p=.002). Use of newer products (oxcarbazepine and lamotrigine, for example) increased substantially beginning in 2000–2001, and these proportionally represented 15.4% and 40.1%, respectively, of such visits in 2008–2009. Lamotrigine use significantly increased from 1996–1997 to 2008–2009 (35.8% increase, p<.001).

Concomitant psychotropic use

Visits for anticonvulsant mood stabilizers that also noted a psychiatric diagnosis and any concomitant use of a psychotropic class increased slightly from 1996–1997 to 2008–2009 (76.7%–87.6%; Table 3). Visits for an anticonvulsant mood stabilizer plus a single concomitant psychotropic class decreased from 62.7% in 1996–1997 to 40.2% in 2008–2009 (p=.005), whereas visits for anticonvulsant mood stabilizers that involved two or more concomitant psychotropic classes more than tripled, from 14.0% in 1996–1997 to 47.4% in 2008–2009 (p<.001).

The three most common concomitant psychotropic classes were antidepressants, antipsychotics, and stimulants, with nearly half of concomitant psychotropic visits including at least one of these three classes (Table 3). Visits noting an anticonvulsant mood stabilizer, a psychiatric diagnosis, and a concomitant antidepressant increased from 31.2% in 1996–1997 to 50.2% in 2004–2005 and then decreased to 36.4% in 2008–2009. Visits that referenced a concomitant antipsychotic were essentially unchanged from 1996–1997 to 2008–2009 and represented 44.8% of concomitant use. However, visits with concomitant use of a stimulant increased significantly from 17.7% in 1996–1997 to 54.8% in 2008–2009 (p<.001). Other psychotropic classes (anxiolytics, alpha-agonists, hypnotics, and lithium) increased tenfold from .7% in 1996–1997 to 7.1% in 2008–2009 (p<.001, data not shown).

Discussion

The major finding of this study concerns the growth of anticonvulsant use for children and adolescents with a psychiatric diagnosis, particularly for a behavioral disorder. This growth continues despite clinical trial findings that challenge the efficacy (6) and safety of this class of drugs for this population (810). Concomitant anticonvulsant mood stabilizer use with psychotropic drug classes, particularly stimulants, underscores complex drug regimens that require monitoring for safety and benefits.

Labeled indications and off-label use

The introduction and marketing in the 1990s of numerous anticonvulsant drugs such as lamotrigine for psychiatric indications clearly contributed to their frequency of use. Anticonvulsant drugs have been used for psychiatric and neurologic disorders other than those considered in this study. For adults, for example, divalproex has an indication for migraine and for manic episodes, and gabapentin is indicated for neuralgia (11,12). Furthermore, many anticonvulsant drugs are used off label for psychiatric conditions. Examples include topiramate for treating eating disorders and topiramate plus carbamazepine for treating alcohol withdrawal (13,14). Topiramate, gabapentin, and oxcarbazepine do not have approved indications for any psychiatric condition in either the adult or the pediatric population.

The decline of divalproex and the rise of lamotrigine

Divalproex was the primary anticonvulsant used to treat psychiatric disorders among youths in the 1990s. However, this drug has been used off label to treat behavior disorders (such as ADHD) among youths. Since the mid-2000s, its proportional use has prominently decreased (Table 3). In part, this decline may be due to evidence that divalproex has no benefit in the treatment of early-onset bipolar disorder (6) and to clinical trial data showing that use of the drug has a low effect size among youths (810). The practice standards of the American Academy of Child and Adolescent Psychiatry acknowledge that “most of the treatment recommendations for pediatric bipolar disorder are derived from the adult literature for acute mania” (15) but surprisingly recommend anticonvulsants or antipsychotics or a combination as primary treatment for that disorder (15).

Evidence supporting serious safety concerns for divalproex has emerged in the past two decades, including FDA boxed warnings for both hepatotoxicity and pancreatitis among younger patients (16,17) and teratogenicity among females of childbearing age (18,19). The marked proportional decline in the use of divalproex among youths to treat psychiatric disorders has been a major factor in the overall moderate decline in anticonvulsant mood stabilizer prevalence in the late 2000s, as shown in this study. The increased use of lamotrigine among youths for psychiatric indications in the past decade is notable. Lamotrigine received an FDA indication for the maintenance treatment of bipolar depression among adults (20), which may have led to its increased use by children with a diagnosis of bipolar disorder. Lamotrigine also carries the risk of a potentially life-threatening rash, which can affect patients of any age, but particularly youths. This risk is increased when lamotrigine is used concomitantly with divalproex (21,22).

Concomitant psychotropic use

Anticonvulsant medication concomitantly used with other psychotropic medication classes for the treatment of psychiatric disorders was common in 1996–1997 (76.7%) and was even more common by 2008–2009 (87.6%). Furthermore, the use of two or more psychotropic classes with anticonvulsants has prominently increased in the late 2000s, more than tripling from 14.0% to 47.4%. Such use of anticonvulsant medications is off label and primarily for treating behavior disorders and pediatric bipolar disorder, as shown in Table 3 for 2008–2009. Studies of the addition of divalproex to antipsychotic medications among youths indicate that these combinations lead to marginal increases in behavioral control while increasing side effects such as weight gain and metabolic abnormalities (23,24).

Seizure frequency from 1996–1997 to 2008–2009

Additional data were generated to measure trends in anticonvulsant mood stabilizer use as a proportion of visits for anticonvulsants among four diagnostic groups (Figure 1), as a proportion of all youth visits (Table 2), and as a proportion of mental health diagnostic group visits (Table 3). The proportional decline in use of anticonvulsants to treat seizures compared with all anticonvulsant mood stabilizer visits (Figure 1) is misleading. This is clear from the data in Table 1, which presents visits for seizures as a proportion of all youth visits. In that analysis, there was no decline in seizure prevalence over the 14-year period of the study. When visits for anticonvulsant mood stabilizers were measured as a proportion of visits for seizures, the change across the years was not significant. A part of the confusion is that only six of the ten leading anticonvulsant medications used for the treatment of seizures included in this study are mood stabilizer medications (25). Nonetheless, the stable rate of visits for seizures during these study years is consistent with the findings from other surveys during the same period (26).

Limitations

A major problem of this study relates to the statistical power of the NAMCS and NHAMCS survey data. Thus, because of small samples, we were unable to examine data for very young children and to characterize this age group by diagnosis. In addition, these surveys measure prescribing practices, and therefore it is not known whether the patients filled their prescriptions and consumed these medications. In addition, the sample was restricted to ambulatory visits, which precluded identification of inpatient anticonvulsant mood stabilizer utilization patterns. Finally, clinician reports of psychiatric diagnoses do not have the reliability typical of clinical research studies.

Conclusions

With national survey data, we corroborated earlier regional Medicaid findings regarding use of anticonvulsants for psychiatric conditions across 14 years. Anticonvulsant mood stabilizer use for seizure disorders among youths has remained relatively stable during these years. Anticonvulsant use for psychiatric disorders peaked in 2004–2005. Over the study period, specific drug entity changes included decreased use of divalproex and increased use of lamotrigine.

Even though our data show a moderate decrease in anticonvulsant use for psychiatric disorders between 2004–2005 and 2008–2009, there was a growing trend for concomitant psychotropic regimens involving anticonvulsants. This trend was especially significant in the off-label treatment of disruptive disorders among youths (p<.001). Clinical review and monitoring can be mandated by policy makers in Medicaid and private insurance programs to ensure appropriate use of these complex regimens.

Dr. Tran and Dr. Zito are affiliated with Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, 220 Arch St., Baltimore, MD 21201 (e-mail: ). Dr. Safer is with the Departments of Psychiatry and Pediatrics, Johns Hopkins University School of Medicine, Baltimore. Ms. Hundley is with the Professional Psychology Program, George Washington University, Washington, D.C.

Acknowledgments and disclosures

This work was financially supported by the Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy.

The authors report no competing interests.

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