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Abstract

Objective:

It is unknown whether prolonged childhood exposure to stimulant medication for the treatment of attention deficit hyperactivity disorder (ADHD) increases the risk for developing abnormalities in blood pressure or heart rate. The authors examined the association between stimulant medication and blood pressure and heart rate over 10 years.

Method:

A total of 579 children, ages 7–9, were randomly assigned to 14 months of medication treatment, behavioral therapy, the combination of the two, or usual community treatment. The controlled trial was followed by naturalistic treatment with periodic assessments. Blood pressure and heart rate data were first analyzed with linear regression models based on an intent-to-treat approach, using raw data and the blood pressure categories of prehypertension and hypertension. Currently medicated patients were then compared with never or previously medicated patients. Associations between cumulative stimulant exposure and blood pressure or heart rate were assessed.

Results:

No treatment effect on either systolic or diastolic blood pressure could be detected. Children who were treated with stimulants had a higher heart rate (mean=84.2 bpm [SD=12.4] on medication alone and mean=84.6 bpm [SD=12.2] on medication plus behavioral therapy) than those who were treated with behavioral therapy alone (mean=79.1 bpm [SD=12.0]) or those who received usual community treatment (mean=78.9 bpm [SD=12.9]) at the end of the 14-month controlled trial, but not thereafter. Stimulant medication did not increase the risk for tachycardia, but greater cumulative stimulant exposure was associated with a higher heart rate at years 3 and 8.

Conclusions:

Stimulant treatment did not increase the risk for prehypertension or hypertension over the 10-year period of observation. However, stimulants had a persistent adrenergic effect on heart rate during treatment.
Methylphenidate and amphetamines are commonly used in the treatment of attention deficit hyperactivity disorder (ADHD). By increasing noradrenergic and dopaminergic transmission, these agents exhibit sympathomimetic activity that is associated with cardiovascular effects (1). Several placebo-controlled investigations have documented a statistically significant increase in heart rate and blood pressure with therapeutic doses of stimulants in both children and adults (26). In children, average increases of 6–8 bpm in heart rate, 3–6 mm Hg in systolic blood pressure, and 3–4 mm Hg in diastolic blood pressure relative to placebo have been reported after methylphenidate or amphetamine administration (2, 3, 5). Some studies found a positive correlation between stimulant dosage and cardiovascular changes (7). Reports have not been consistent, however, and some adequately powered studies did not find differences between stimulant treatment and placebo after acute treatment (8). Studies for up to 2 years of stimulant treatment suggest that attenuation of acute effects occurs with chronic treatment, but without development of full tolerance (4, 9, 10).
Although the magnitude of the cardiovascular changes during stimulant treatment has been dismissed by some as clinically insignificant (3, 4, 8, 10, 11), even modest increases in blood pressure or heart rate, when sustained over time, may have an effect, since the risk for cardiovascular disease increases monotonically with rising blood pressure values in young adults (12). Available reports are limited to a few weeks of controlled stimulant administration and up to 2 years of uncontrolled treatment. It remains unclear whether stimulant treatment in childhood increases the risk for hypertension or for persistently, though modestly, elevated cardiovascular parameters in future years (13).
To clarify the possible clinical significance of stimulant-induced cardiovascular effects, we analyzed data from the Multimodal Treatment Study of Children With ADHD (MTA), a 14-month randomized controlled clinical trial in 7- to 9-year-old children that was followed by naturalistic treatment with periodic assessment for up to 10 years after randomized assignment. We examined whether exposure to stimulant medication was associated with increased heart rate, systolic or diastolic blood pressure, or blood pressure values in the prehypertension or hypertension range over the 10-year period.

Method

Study Design and Participants

The data we analyzed were collected as part of the MTA, a publicly funded multisite randomized controlled trial that compared the effectiveness of different treatment interventions for children with ADHD. The design, methods, and main clinical outcomes of the MTA have been reported in detail (1418). A total of 579 children 7–9 years of age (mean=8.5 years; 80% male, 61% white, 20% African American, and 8% Hispanic) with a DSM-IV diagnosis of combined type ADHD were randomly assigned to 14 months of treatment with stimulant medication (7 days a week, with no interruptions for summer holidays), behavioral therapy, a combination of medication and behavioral therapy, or usual community treatment. To be enrolled in the study, children had to be medically healthy, without evidence of cardiovascular disease by history or physical examination. After the 14-month controlled trial, all patients received naturalistic community treatment and were assessed at specified time points (2, 3, 6, 8, and 10 years after randomization). Intent-to-treat analyses based on treatment group identified statistically significant differential treatment effects on ADHD symptoms at the end of the controlled study and up to 10 months afterward (year 2), but not at subsequent assessments (15, 18, 19).
Starting with year 2, a local normative comparison group was added to the follow-up study. This group consisted of 289 children who were randomly selected from the same schools and grades and in the same sex proportion as the MTA patients and the same entry criteria except for ADHD diagnosis (but ADHD was not a reason for exclusion). Their blood pressure and heart rate were assessed in the same manner as in the MTA patients.
The data were collected between 1994 and 2006 at the following clinical sites: University of California, Berkley/University of California, San Francisco; Duke University Medical Center; University of California, Irvine; Long Island Jewish Medical Center and New York University; McGill University/Montreal Children's Hospital; University of Pittsburgh; and Columbia University/New York State Psychiatric Institute and Mount Sinai Medical Center, New York.

Stimulant Medication

A total of 289 children were randomly assigned to receive medication treatment, either alone or in combination with behavioral therapy. Immediate-release methylphenidate was the first-step treatment. Patients who did not respond were given d-amphetamine and, in case of further nonresponse, other agents. Methylphenidate accounted for 85% of stimulant use in the first 14 months. Medication was given in two or three daily doses, 7 days a week, for 14 months. Of the children assigned to usual community treatment, 92 (63.07%) received stimulant medication and five others received nonstimulant medication for ADHD. Some children (N=32) in the behavioral therapy group reported treatment with stimulant medication through their private pediatrician during the 14-month trial. This nonstudy use was accounted for in the analyses by controlling for current use. At the end of the 14 months, the mean daily dose of stimulant was 22.6 mg of methylphenidate equivalents in the usual community treatment group, 31.1 mg in the combined medication and behavioral therapy group, and 38.1 mg in the medication only group (20). After month 14, medication use was naturalistically determined and gradually decreased over time. Across all treatment groups, the numbers of children currently taking stimulant medication were 316, 280, 257, 169, 91, and 18 at month 14, at year 2, at year 3, at year 6, at year 8, and at year 10, respectively. Most (69.0%) of the youths medicated at year 10 had been medicated at month 14, indicating continuity of treatment for medicated patients. Consistent with body growth and with previous reports (18), the average daily dose increased with time and was 54.3 mg of methylphenidate equivalents at year 10. About 4% of the MTA sample received, at some point during the 10-year period, other, nonstimulant psychotropic medications, mainly antidepressants and mood stabilizers. For seven of the 289 children in the normative comparison group, there were reports of use of some psychotropic medication (antidepressants in six cases, and atomoxetine in one case).

Blood Pressure and Heart Rate Measurement

The procedure for assessing heart rate and blood pressure was as follows. After the participant had been sitting for 5 minutes, the heart rate was obtained with an automatic monitor or manually counted for at least 30 seconds. Immediately afterward, the blood pressure was measured in the right arm using a cuff of adequate size for the participant's arm. If any of the measurements were above normal range (>100 bpm for heart rate, >120 mm Hg for systolic blood pressure, and >80 for diastolic blood pressure), the measurement was repeated after the participant had been sitting for an additional 5 minutes, and the lower reading was recorded. There were some site differences in the procedure, but at each site all four treatment groups were assessed in the same way. At one of the sites, three recordings were obtained from each participant at each visit; the first reading was automatically discarded, and the average of the latter two was recorded. At four sites, blood pressure and heart rate were measured using an automatic blood pressure and heart rate monitor, and at the other three sites, blood pressure was measured with manual sphygmomanometry with auscultatory method, and the heart rate with manual measurement at the radial artery at the wrist. At each visit, body height and weight were also measured, and the youths and their families were queried about the occurrence of significant medical problems, hospitalizations, and other medical services. Time of the assessment varied during the day, as did the time since the last medication dose. Clinicians collecting these measurements were not blind to treatment assignment.

Data Analysis

The database was centrally managed and quality-assured at the National Institute of Mental Health, Bethesda, Md. Statistical analyses were conducted at the Center for Health Statistics, University of Illinois at Chicago.
Blood pressure data were analyzed both as absolute values and after classification into the categories of normal, prehypertension, hypertension stage 1, and hypertension stage 2, according to age-, sex-, and height-adjusted percentiles from U.S. population norms for children and adolescents through age 17 (21). Height percentiles were computed according to the 2002 U.S. Centers for Disease Control and Prevention population norms (22). Blood pressure status was classified as normal if both systolic and diastolic blood pressure were below the 90th percentile; prehypertension if the systolic or diastolic blood pressure was at or above the 90th percentile but below the 95th percentile; hypertension stage 1 if the systolic or diastolic blood pressure was at or above the 95th percentile but below the 99th percentile; and hypertension stage 2 if the systolic or diastolic blood pressure was at or above the 99th percentile (21).
For participants older than age 17, adult criteria for blood pressure were used, according to which normal is a systolic blood pressure <120 mm Hg and a diastolic blood pressure <80 mm Hg; prehypertension is a systolic blood pressure of 120–139 mm Hg or a diastolic blood pressure of 80–89 mm Hg; hypertension stage 1 is a systolic blood pressure of 140–159 mm Hg or a diastolic blood pressure of 90–99 mm Hg; and hypertension stage 2 is a systolic blood pressure ≥160 mm Hg or a diastolic blood pressure ≥100 mm Hg (23).
The heart rate data were analyzed as absolute values and after categorization into normal or tachycardia based on population norms through age 18 (24). Tachycardia was defined as a heart rate above the 95th percentile, based on age and sex. For example, at age 16, the cutoff was 100 bpm for girls and 95 bpm for boys.
For the intent-to-treat analyses, linear regression models were applied to the blood pressure and heart rate data, testing for treatment effects from the randomly assigned treatment conditions. In addition, multinomial logistic regression models (under the assumption of proportional odds) were applied to the blood pressure data categorized into normal, prehypertension, hypertension stage 1, and hypertension stage 2, and to the heart rate data classified as normal or abnormal. All models included baseline values, site, and race (African American compared with non-African American, given the higher risk for hypertension among African Americans) as covariates and body mass index (BMI) and current medication dosage as time-varying covariates.
To further account for stimulant use beyond the controlled phase of the study, at each assessment point in the naturalistic follow-up, participants were classified as “never medicated,” “currently medicated,” or “previously medicated” (but not currently on medication), and analyses of blood pressure categories were conducted with these groups.
For analyses testing for possible associations between cumulative dose exposure and blood pressure or heart rate regardless of treatment assignment, multinomial logistic regression models were applied. For each participant, the cumulative dose of methylphenidate received up to each point of assessment was computed. Information about the dose was obtained by interviewing the participants and their parents. Amphetamine doses were multiplied by 2 for conversion into methylphenidate equivalents (25). Overall cumulative exposure over the 10-year assessment period ranged from 0 to 328,976 mg, with the 25th percentile being 7,898 mg and the 75th percentile 43,460 mg. At each assessment point, based on the cumulative dose received thus far, each participant was assigned to one of four exposure categories: no medication (0 mg), low exposure (cumulative dose, 1–7,898 mg), medium exposure (cumulative dose, 7,899–43,460 mg), or high exposure (cumulative dose >43,460 mg). Analyses included baseline values, site, and race (African American compared with non-African American) as covariates and BMI and current medication dose as time-varying covariates.
A number of other sensitivity and complementary analyses were conducted:
1. A logistic regression model was fitted at each assessment point using the continuous cumulative stimulant dose variable after log transformation.
2. Similar multinomial logistic regression models were conducted after combining the four blood pressure categories into three (normal, prehypertension, and hypertension) or two categories (normal and prehypertension/hypertension).
3. Generalized estimating equation methods were used to fit a multinomial logistic regression model simultaneously to all repeated measurements.
4. The analyses described above were repeated using the average daily dose of stimulant medication received for at least 15 days during the 30 days preceding the assessment and categorized into no medication (0 mg/day), low doses (1–24 mg/day), medium doses (25–40 mg/day), or high doses (>40 mg/day), in lieu of the cumulative dose percentile method described above.
5. The possible effect of actual medication use on the same day of the assessment was examined in a multinomial logistic regression model with cumulative exposure and in a longitudinal analysis using a generalized estimating equation.
6. The effect of medication use on the same day of the assessment was examined in the models with average daily dose, described in item 4 above.
7. Stimulant exposure was defined based on the percentage of time spent on stimulant medication, as consistent with other analyses of this database that focused on clinical outcomes and physical growth (17). Based on this approach, being medicated was defined as having been treated with a stimulant at least 50% of the days since the previous assessment point, and the patients were classified as always, sometimes, or never/seldom medicated based on the status at each assessment point. Blood pressure and heart rate data were reanalyzed using these categories of exposure and the normative comparison group by fitting mixed-effects models that included site, race, and time-varying BMI and stimulant use as covariates.
The relationship between heart rate and cumulative dose, average daily dose, or current medication use was examined based on multiple regression analyses adjusted for age, race (African American compared with others), study site, and baseline heart rate, using the same approach described for blood pressure. Logistic regression models were not used to analyze abnormally elevated heart rate because very few participants (<1.8%) had a heart rate above the upper normal range at each assessment point.
For all the analyses, the threshold for statistical significance was set at 0.05 (two-tailed), despite multiple tests, to prevent type II error.

Results

Sample Retention

Of the 579 patients randomly assigned to treatment groups, data on blood pressure and heart rate were available for 506 (87.4%) at month 14, for 505 (87.2%) at year 2, for 455 (78.6%) at year 3, for 419 (72.4%) at year 6, for 376 (64.9%) at year 8, and for 346 (59.8%) at year 10. A comparison of patients who were retained through year 10 (N=346) and those who were not (N=233) showed a lower proportion of males in the retained group (76.0% compared with 86.7%) but no significant differences in age, race, baseline systolic or diastolic blood pressure, heart rate, or distribution among the four assigned treatment groups.
During the controlled trial (first 14 months), no cardiovascular adverse effects leading to drug discontinuation or decrease in drug dosage occurred. During the subsequent naturalistic treatment phase, no cardiovascular event leading to emergency evaluation or hospitalization was reported, nor was any episode of stimulant discontinuation due to cardiovascular adverse events. Three deaths were recorded among the ADHD participants during the 10 years of observation: a suicide at age 14 (the patient was on methylphenidate), a fatal car accident at age 17 (the patient was the driver and was on methylphenidate), and a sudden unexplained death at age 17 (the patient was found dead in bed; no specific cause of death could be determined; he had been previously treated with methylphenidate and had been off medication for more than 1 year when he died).

Intent-to-Treat Analyses of Randomized Treatment Groups

Intent-to-treat analyses of raw systolic and diastolic blood pressure data or of the hypertension categories did not identify any statistically significant treatment-related effects on any of these measures, either at the end of the controlled trial at month 14 or afterward (Tables 1 and 2 and Figure 1). There was a significant time effect, consistent with a physiological increase of blood pressure with age, and significant effects of site due to differences in blood pressure measurement procedures, but no significant site-by-treatment effects.
TABLE 1. Blood Pressure and Heart Rate Over 10 Years in Youths With ADHD Randomly Assigned to 14 Months of Stimulant Medication, Behavioral Therapy, Combined Treatment, or Usual Community Treatmenta
 Systolic Blood Pressure (mm Hg)Diastolic Blood Pressure (mm Hg)Heart Rate (bpm)
Treatment Group and Assessment Time (Months)NMeanSDNMeanSDNMeanSD
Combined medication and behavioral therapy 
014399.510.314366.18.114584.610.9
14132102.610.213266.510.413584.612.2
24134104.011.513467.411.013580.412.1
36118107.313.411867.010.711980.212.2
72109116.813.710967.19.711371.310.6
96101120.115.510165.49.010269.811.0
12093119.612.89367.79.99369.012.5
Medication only 
0142101.09.814266.07.914383.411.1
14125102.49.712567.69.612884.212.4
24115104.411.611367.611.011781.612.2
36106107.812.310665.09.410876.612.2
7296116.412.79666.98.49672.211.5
9689119.815.68966.811.09171.012.6
12077122.214.87767.69.87869.911.2
Behavioral therapy only 
014099.410.114065.69.014285.313.3
14121103.210.312168.99.112579.112.0
24128104.410.912867.911.613179.112.4
36113108.411.211366.311.611676.312.7
72109114.312.910966.39.011071.313.3
9697119.114.09767.19.69870.511.0
12092119.115.09268.611.09268.612.4
Usual community treatment 
014299.09.914264.48.214384.511.4
14115104.110.611567.88.811878.912.9
24120102.711.012065.710.412278.812.1
36109106.812.710864.010.611277.811.6
7296116.712.49664.68.310071.311.7
9685119.013.58566.88.98570.613.7
12081119.411.78168.38.88372.412.1
a
Linear regression models were conducted with site and race (African American compared with non-African American) as covariates and current body mass index (BMI) and stimulant dose (in methylphenidate equivalents) as time-varying covariates. For systolic blood pressure, significant effects were observed for time (p<0.001), site (p<0.001), BMI (p<0.001), and stimulant dosage (p=0.02), but none were observed for race, treatment group, or treatment group by time. For diastolic blood pressure, significant effects were observed for time (p<0.001), site (p<0.001), and BMI (p<0.001), but none were observed for race, stimulant dose, treatment group, or treatment group by time. For heart rate, significant effects were observed for time (p<0.001), site (p<0.001), BMI (p<0.001), race (p<0.01), stimulant dosage (p<0.001), and treatment group by time (p=0.02), but none were observed for treatment group. A total of 42 pairwise comparisons were run. Significant pairwise comparisons were as follows: at month 14, medication only > behavioral therapy (p=0.05), medication only > usual community treatment (p=0.01), combined treatment > behavioral therapy (p=0.01), and combined treatment > usual community treatment (p<0.01); at month 36, combined treatment > medication only (p=0.01); and at month 120, community treatment > behavioral therapy (p<0.01) (p values not corrected for multiple comparisons).
TABLE 2. Blood Pressure Categories Over 10 Years in Youths With ADHD Randomly Assigned to 14 Months of Stimulant Medication, Behavioral Therapy, Combined Treatment, or Usual Community Treatmenta
 NormalPrehypertensionHypertension Stage 1Hypertension Stage 2 
Treatment Group and Assessment Time (Months)N%N%N%N%Total N
Combined medication and behavioral therapy 
09767.82316.12215.410.7143
148765.91612.12821.210.8132
248563.41813.42820.932.2134
367765.31512.72117.854.2118
727064.22018.31110.187.3109
965352.52524.81716.865.9101
1205458.13133.388.600.093
Medication only 
09768.32416.92014.110.7142
149072.01411.21915.221.6125
247969.91210.61715.054.4113
367469.8109.42018.921.9106
726466.71111.51717.744.296
965258.41921.31415.744.589
1203545.53545.556.522.677
Behavioral therapy only 
010776.4117.92014.321.4140
147461.22117.42520.710.8121
248566.41612.52519.521.6128
368171.7108.81916.832.7113
727266.11715.61715.632.8109
966769.11212.41414.444.197
1205660.92223.91213.022.292
Usual community treatment 
011077.51510.61712.000.0142
147565.21916.51815.732.6115
248671.797.52420.010.8120
367973.11413.01312.021.9108
727477.133.11515.644.296
966070.61011.81214.133.585
1204758.03037.044.900.081
a
Based on population-derived age-, sex-, and height-adjusted percentiles, in which normal was defined as <90th percentile for both systolic and diastolic blood pressure, prehypertension as ≥90th and <95th percentile for either systolic or diastolic blood pressure, hypertension stage 1 as ≥95th and <99th percentile for either systolic or diastolic blood pressure, and hypertension stage 2 as >99th percentile for either systolic or diastolic blood pressure. Six records listed normal systolic blood pressures but were missing diastolic blood pressure data; these records were set to missing for categorical blood pressure. One record listed an abnormal systolic blood pressure but was missing diastolic blood pressure data; this record was included as abnormal categorical blood pressure. In proportional odds models, with site and race (African American compared with non-African American) as covariates and current body mass index (BMI) and stimulant dosage as time-varying covariates, significant effects were observed for time (p<0.0001), site (p<0.0001), and BMI (p<0.0001), and none were observed for race, stimulant dosage, treatment group, or treatment group by time.
FIGURE 1. Estimated Blood Pressure and Heart Rate Over 10 Years in Youths With ADHD Randomly Assigned to 14 Months of Medication, Behavioral Therapy, Combined Treatment, or Usual Community Treatment and in a Normative Comparison Groupa
a No significant treatment-by-time effect was observed on systolic or diastolic blood pressure. A significant treatment-by-time effect was observed on heart rate (p=0.02), with significantly higher mean heart rates in the groups receiving medication at 14 months, but not afterward.
At 14 months, there was a significant treatment-by-time effect (p=0.02) on heart rate, with the groups assigned to medication treatment having higher mean heart rates (medication only group, mean=84.2 bpm [SD=12.4]; combined medication plus behavioral therapy group, mean=84.6 bpm [SD=12.0]) than the behavioral therapy only group (mean=79.1 bpm [SD=12.0]) or the usual community treatment group (mean=78.9 bpm [SD=12.0]). The incidence of tachycardia did not differ by treatment group: the rates were 0.8% (1/128) in the medication only group, 2.2% (3/135) in the combined treatment group, 0.8% (1/125) in the behavioral therapy only group, and 2.5% (3/119) in the usual community treatment group.
During the years beyond the initial 14-month period, no significant treatment effect on heart rate was observed with pairwise comparisons except a greater heart rate at year 3 in the combined treatment group as compared with the medication only group (p=0.01) and a greater heart rate at year 10 in the usual community treatment group than in the behavioral therapy alone group (p<0.01; p values were not corrected for multiple comparisons; a total of 29 pairwise comparisons were conducted).

Stimulant Exposure and Blood Pressure and Heart Rate Over 10 Years

No association was observed between current or previous stimulant use or cumulative methylphenidate-equivalent dose and risk for blood pressure levels in the prehypertensive or hypertensive range (Tables 3 and 4 and Figure 2). At year 10, the rates of abnormal blood pressure (defined as having blood pressure levels in the prehypertension or hypertension range at both years 8 and 10) were not statistically different between youths with the highest cumulative exposure and those with lower exposure or those in the normative comparison group (Table 5).
TABLE 3. Blood Pressure Categories, by Past and Current Stimulant Use, Over 10 years in Youths With ADHD and in a Normative Comparison Groupa
 NormalPrehypertensionHypertension Stage 1Hypertension Stage 2 
Assessment Time and Stimulant Use CategorybN%N%N%N%Total N
24 months 
    Never6770.51111.61616.811.195
    Currently18467.23111.35219.072.6274
    Previously8466.71310.32620.632.4126
    Local normative comparison group19769.44214.84315.120.7284
36 months 
    Never4563.41014.11318.334.271
    Currently18473.32510.03915.531.2251
    Previously8266.71411.42117.164.9123
    Local normative comparison group19575.6249.33614.031.2258
72 months 
    Never4071.458.9916.123.656
    Currently10865.52112.72817.084.8165
    Previously13269.82513.22312.294.8189
    Local normative comparison group17172.22811.83012.783.4237
96 months 
    Never3265.3612.2816.336.149
    Currently5056.21921.31618.044.589
    Previously15064.14117.53314.1104.3234
    Local normative comparison group16069.04419.02510.831.3232
120 months 
    Never3060.01428.0612.000.050
    Currently1266.7422.2211.100.018
    Previously15054.510036.4217.641.5275
    Local normative comparison group11956.47234.1199.010.5211
a
There were no significant differences in blood pressure categories between stimulant use groups.
b
The stimulant use categories indicate whether the participant was never treated with stimulant medication, was currently taking stimulant medication (for the 30 days preceding the assessment), or was previously treated with stimulant medication but had no use for at least 30 days before the assessment. The local normative comparison group, which was added to the follow-up study after year 2, consisted of 289 children randomly selected from the same schools and grades and in the same sex proportion as the study participants; they met the same entry criteria except for ADHD diagnosis, although ADHD was not a reason for exclusion.
TABLE 4. Blood Pressure Category, by Cumulative Stimulant Use Over Time, in Youths With ADHD and in a Normative Comparison Groupa
 NormalPrehypertensionHypertension Stage 1Hypertension Stage 2 
Assessment Time and Cumulative Stimulant Dose CategoryN%N%N%N%Total N
24 months 
    No medication6770.51111.61616.811.195
    Cumulative dose ≤7,898 mg7468.587.42422.221.9108
    Cumulative dose 7,899 mg to 43,460 mg19366.33612.45418.682.7291
    Cumulative dose >43,460 mg1100.000.000.000.01
    Local normative comparison group19769.44214.84315.120.7284
36 months 
    No medication4563.41014.11318.334.271
    Cumulative dose ≤7,898 mg4167.2813.1914.834.961
    Cumulative dose 7,899 mg to 43,460 mg19173.22610.03914.951.9261
    Cumulative dose >43,460 mg3465.459.61223.111.952
    Local normative comparison group19575.6249.33614.031.2258
72 months 
    No medication4071.458.9916.123.656
    Cumulative dose ≤7,898 mg2875.738.1513.512.737
    Cumulative dose 7,899 mg to 43,460 mg10469.32013.32114.053.3150
    Cumulative dose >43,460 mg10864.72313.82515.0116.6167
    Local normative comparison group17172.22811.83012.783.4237
96 months 
    No medication3265.3612.2816.336.149
    Cumulative dose ≤7,898 mg2374.2412.9412.900.031
    Cumulative dose 7,899 mg to 43,460 mg7364.02017.51513.265.3114
    Cumulative dose >43,460 mg10458.43620.23016.984.5178
    Local normative comparison group16069.04419.02510.831.3232
120 months 
    No medication3060.01428.0612.000.050
    Cumulative dose ≤7,898 mg1661.5623.1311.513.826
    Cumulative dose 7,899 mg to 43,460 mg5454.03939.066.011.0100
    Cumulative dose >43,460 mg9255.15935.3148.421.2167
    Local normative comparison group11956.47234.1199.010.5211
a
The local normative comparison group, which was added to the follow-up study after year 2, consisted of 289 children randomly selected from the same schools and grades and in the same sex proportion as the study participants; they met the same entry criteria except for ADHD diagnosis, although ADHD was not a reason for exclusion. Proportional odds models with four (normal, prehypertension, hypertension stage 1, and hypertension stage 2), three (normal, prehypertension, and hypertension), or two (normal and prehypertension/ hypertension) blood pressure categories: no significant differences in any of these models.
FIGURE 2. Prevalence of Blood Pressure Reading in the Prehypertension and Hypertension Ranges at Years 8 and 10, by Stimulant Use Category, in Youths With ADHD and in a Normative Comparison Groupa
a Prehypertension is defined as a systolic or diastolic reading at or above the 90th percentile but below the 95th percentile for age, sex, and height. Hypertension is defined as a systolic or diastolic reading at or above the 95th percentile for age, sex, and height. These data are based on one reading only and hence are not necessarily evidence of hypertension. No statistically significant differences were observed between the groups.
TABLE 5. Rate of Sustained Increase in Blood Pressure, by Cumulative 10-Year Exposure to Stimulant Medication, in Youths With ADHD and in a Normative Comparison Group
 Blood Pressure ≥90th Percentile at Years 8 and 10a
Group and Cumulative 10-Year Stimulant Dose CategorybN%95% CI
ADHD sample 
    0 mg5018.06.2–29.8
    1 mg to 7,898 mg2619.22.4–36.1
    7,899 mg to 43,460 mg10023.013.6–32.4
    >43,460 mg16921.314.3–28.3
Local normative comparison group 
    0 mg21217.912.2–23.6
a
Systolic or diastolic blood pressure ≥90th percentile for age, sex, and height. Based on one measurement each year.
b
Cumulative stimulant medication exposure, in methylphendiate equivalents. Groups were defined based on cumulative exposure at year 10.
No significant treatment effects on hypertension categories emerged in any of the sensitivity analyses, including dichotomization of the cumulative stimulant dose into no medication or any medication; log transformation of the cumulative dose; combining of the blood pressure categories into three (normal, prehypertension, and hypertension) or two (normal and prehypertension/hypertension combined) categories; use of longitudinal generalized estimating equation models; use of average daily dose instead of cumulative dose; and control for being currently treated with a stimulant and having taken the medication the same day of the assessment.
No significant effect of stimulant exposure (defined as always, sometimes, or never, based on percentage of days in the past year at each assessment point) was observed for blood pressure or heart rate, using mixed effects with stimulant use as a time-varying covariate.
Significant effects of stimulant exposure on heart rate were detected at year 3 (p=0.019) and year 8 (p<0.001), but not at year 10 (Table 6). When controlling for current medication use, the effect remained significant at year 8, but not at year 3.
TABLE 6. Heart Rate, by Cumulative Exposure to Stimulant Medication Over Time, in Youths With ADHD and in a Normative Comparison Group
Assessment Time and Cumulative Stimulant Dose CategoryaCurrent Medication UseNMeanSD
36 monthsb 
    No medicationNo5777.810.6
    Cumulative dose ≤7,898 mgNo3977.613.8
 Yes980.712.4
    Cumulative dose 7,899 mg to 43,460 mgNo7577.111.7
 Yes13378.911.9
    Cumulative dose >43,460 mgNo778.712.1
 Yes3284.410.7
    Local normative comparison group 19976.111.8
96 monthsc 
    No medicationNo5066.48.7
    Cumulative dose ≤7,898 mgNo3269.613.4
 Yes174.0 
    Cumulative dose 7,899 mg to 43,460 mgNo10669.312.5
 Yes977.110.8
    Cumulative dose >43,460 mgNo12870.411.7
 Yes5176.211.6
    Local normative comparison group 23367.910.4
120 monthsd 
    No medicationNo5068.911.0
    Cumulative dose ≤7,898 mgNo2670.214.7
 Yes0  
    Cumulative dose 7,899 mg to 43,460 mgNo9868.111.3
 Yes282.05.7
    Cumulative dose >43,460 mgNo14570.712.7
 Yes2473.711.1
    Local normative comparison group 21267.710.4
a
Cumulative stimulant doses are in methylphenidate equivalents. The local normative comparison group, which was added to the follow-up study at year 2, consisted of 289 children randomly selected from the same schools and grades and in the same sex proportion as the study participants; they met the same entry criteria except for ADHD diagnosis, although ADHD was not a reason for exclusion.
b
At 36 months, the effect of stimulant exposure on heart rate was significant when not controlled for current stimulant use (p=0.019), but was not significant when controlled for current stimulant use (p=0.084).
c
At 96 months, the effect of stimulant exposure on heart rate was significant (p<0.001) both when controlled for current use and when not controlled for current use.
d
At 120 months, the effect of stimulant exposure on heart rate was not significant both when not controlled for current stimulant use (p=0.122) and when controlled for current stimulant use (p=0.144).

Discussion

These analyses, conducted with data from a 14-month controlled clinical trial that was followed by naturalistic treatment for a cumulative 10-year period of evaluation, extend findings from previous studies using much shorter periods of observation. Although this clinical trial was not specifically designed to evaluate cardiovascular function, it provides an opportunity to assess blood pressure and heart rate abnormalities as they are likely to emerge in clinical settings. Despite extensive analyses taking different approaches to the data, no evidence could be found that intensive, sustained, and continuous treatment with stimulant medication starting at ages 7–9 years increased the risk for prehypertension or hypertension over a period of 10 years of observation. This conclusion was supported by a comprehensive series of sensitivity analyses that were conducted to account for overall, recent, and current exposure.
Stimulant treatment was, however, found to increase heart rate at several time points, as shown by intent-to-treat analyses at month 14 and significant associations with actual stimulant exposure at years 3 and 8. The effect on heart rate after 8 years of treatment indicates that complete tolerance to the adrenergic activity of stimulant medication does not develop. As shown in Table 6, the never medicated group had a consistently lower mean heart rate than the medicated groups, although the difference was no longer statistically significant at year 10, possibly because of the smaller number of patients still on medication at that time. The effect on heart rate was driven in large part by current use of medication, although at one assessment point (8 years) there was a significant effect of cumulative exposure regardless of current use.
The clinical implications of persistent adrenergic stimulation, especially for individuals with underlying heart abnormalities, are unclear and cannot be elucidated from these data, but a graded relationship, independent of systolic blood pressure, between increasing resting heart rate and mortality is well documented epidemiologically in adults (2629). Thus, the adrenergic effect of stimulants cannot be dismissed and should constitute reason for concern and further evaluation of the long-term safety of these medications. To that end, the recent launching of the publicly funded Attention Deficit Hyperactivity Disorder Drugs Use Chronic Effects (ADDUCE) study in Europe seems especially timely.
No symptomatic cardiovascular events leading to medical attention were reported during the period of observation, and no stimulant treatment discontinuation consequent to cardiovascular adverse effects occurred during the 10-year period. This study sample may have been too small to detect the association between stimulant use and the elevated risk of emergency department visits for cardiac symptoms that has been reported in large epidemiological studies (30). Moreover, the study eligibility criteria excluded children with significant medical conditions. An issue of great concern has been a possible link between therapeutic use of stimulants and elevated risk for sudden cardiac death in youths (31, 32). While the rarity of this event prevents testing for causality through randomized prospective investigations, it is currently recommended that stimulants generally not be used in individuals with underlying cardiac abnormalities that may increase their vulnerability to the sympathomimetic effects of these medications (33). Whether or not stimulants can increase the risk for sudden death among children with no detectable structural heart abnormality is open to speculation. The MTA sample was selected for absence of history or physical signs of cardiovascular problems. Even though no cardiovascular adverse events were recorded during the 10-year period of observation, the sample size was too small to contribute information about an event for which the annual incidence is estimated to be between 0.6 and 6.2 per 100,000 young people (34). Our data do, however, indicate that therapeutic use of stimulants can be accompanied by detectable adrenergic stimulation even after years of ongoing treatment. Because a number of cardiac disorders, such as hypertrophic cardiomyopathy, long QT syndrome, and catecholaminergic polymorphic ventricular tachycardia, often entail adrenergic stimulation for arrhythmia induction, stimulant-induced sympathomimetic activity might have clinical implications for some individuals with underlying heart abnormalities (35, 36).
A number of limitations must be taken into account in considering these findings. The MTA was designed to evaluate treatment effects on behavioral outcomes and were not specifically focused on assessment of cardiovascular parameters. The blood pressure and heart rate measurements were not conducted under double-blind conditions, and the measurement methods varied across the clinical sites, with most sites using a manual method while others used an automatic monitor. This variability does not vitiate the comparison of the randomized treatment groups, which were all measured the same way at a given site. Between-site differences were accounted for by including site as a covariate in the data analyses. It should be noted that at none of the six sites was there a treatment effect on blood pressure at the end of the 14-month controlled trial, which suggests that intersite variability in methods did not undermine the results. The time of the day when measurements were made was variable, according to when individual patients reported to the clinic for their visits. Moreover, the time since stimulant dosing on the day of the assessments could vary. This lack of standardization is likely to have introduced variability that contributed to experimental error, thus possibly obscuring effects that might have been detected with better standardization.
Another important limitation is that abnormal blood pressure values were not systematically confirmed over three separate assessments as required for a diagnosis of prehypertension or hypertension (21). In fact, blood pressure decreases with repeated measurements. In an epidemiological study of school-age children (37), abnormally elevated blood pressure was observed in 19.4% of the children after the first screening, but in 9.5% after the second and in only 4.5% after the third. Thus, the rates of elevated blood pressure that we report cannot be taken as evidence of clinically defined prehypertension or hypertension but only as an indication of increased risk for these clinical conditions. As a reference, the National Health and Nutrition Examination Survey estimated that an age-adjusted 28.7% of the U.S. adult population has hypertension (38), and there are indications that there is a historical trend for blood pressure to increase over the years (39).
With the stated limitations, these data obtained from a large sample over a period of 10 years suggest that intensive and chronic stimulant treatment does not increase the risk for developing blood pressure in the prehypertension or hypertension range. However, stimulant administration continues to have a detectable adrenergic effect even after years of treatment. This effect may have clinical implications, especially for individual patients with underlying heart abnormalities, and it deserves further investigation.

Footnotes

Received Nov. 30, 2010; revision received May 10, 2011; accepted June 6, 2011.
The opinions and assertions contained in this report are the private views of the authors and are not to be construed as official or as reflecting the views of the Department of Health and Human Services, NIH, or NIMH. Dr. Vitiello had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Clinicaltrials.gov identifier: 00000388.

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Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 167 - 177
PubMed: 21890793

History

Received: 30 November 2010
Revision received: 10 May 2011
Accepted: 6 June 2011
Published online: 1 February 2012
Published in print: February 2012

Authors

Details

Benedetto Vitiello, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Glen R. Elliott, M.D., Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
James M. Swanson, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
L. Eugene Arnold, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Lily Hechtman, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Howard Abikoff, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Brooke S.G. Molina, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Karen Wells, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Timothy Wigal, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Peter S. Jensen, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Laurence L. Greenhill, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Jonathan R. Kaltman, M.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Joanne B. Severe, M.S.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Carol Odbert, B.S.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Kwan Hur, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.
Robert Gibbons, Ph.D.
From NIMH, Bethesda, Md.; Psychiatry Department, Children's Health Council, Palo Alto, Calif.; Child Development Center, University of California, Irvine; Department of Psychiatry, Ohio State University, Columbus; Department of Psychiatry, McGill University, Montreal; Department of Child and Adolescent Psychiatry, New York University; Department of Psychiatry, University of Pittsburgh, Pittsburgh; Family Studies Clinic, Duke University Medical Center, Durham, N.C.; REACH Institute, New York; Research Unit of Pediatric Psychopharmacology, Columbia University and New York State Psychiatric Institute, New York; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Md.; Center for Health Statistics, University of Illinois at Chicago; and Center for Health Statistics, University of Chicago.

Notes

Address correspondence and reprint requests to Dr. Vitiello ([email protected]).

Funding Information

Dr. Elliott has received investigator-initiated research support from BioMarin Pharmaceuticals. Dr Swanson has received research support from Alza, Celgene, Cephalon, ICB, McNeil, Novartis, and Shire. Dr. Arnold has received research funding or consulting, advisory, or speaking fees from AstraZeneca, CureMark, Lilly, Neuropharm, Novartis, Organon, Shire, and Targacept. Dr. Hechtman has received research support or advisory or speaking fees from Eli Lilly, GlaxoSmithKline, Ortho-Janssen, Purdue, and Shire. Dr. Abikoff has received research funding or consulting or speaking fees from Bristol-Myers-Squibb, Celltech, Cephalon, Eli Lilly, McNeil, Novartis, Pfizer, and Shire. Dr. Wells receives royalty income from Multi-Health Systems and conducts workshop training in psychosocial treatments for the REACH Institute and the State of New York. Dr. Wigal has received research support or consulting or speaking fees from Addernex, Eli Lilly, McNeil, Otsuka, Shionogi, and Shire. Dr. Jensen has received advisory board or speaking fees from Janssen-Ortho and Shire. Dr. Greenhill has received research support from Johnson & Johnson, Rhodes Pharmaceutical, and Shire. The other authors report no financial relationships with commercial interests.Supported by cooperative agreement grants and contracts from NIMH to the University of California, Berkeley (U01MH50461, N01MH12009, and HHSN271200800005-C), Duke University (U01MH50477, N01MH12012, and HHSN271200800009-C), University of California, Irvine (U01MH50440, N01 MH12011, and HHSN271200800006-C), Research Foundation for Mental Hygiene–New York State Psychiatric Institute/Columbia University (U01MH50467, N01 MH12007, and HHSN271200800007-C), Long Island Jewish Medical Center (U01MH50453), New York University (N01 MH12004 and HHSN271200800004-C), University of Pittsburgh (U01MH50467, N01 MH12010, and HHSN271200800008-C), and McGill University (N01 MH12008 and HHSN271200800003-C). Statistical analysis was funded by a professional contract to the Center for Health Statistics, University of Illinois at Chicago.

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