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. Author manuscript; available in PMC: 2013 Feb 1.
Published in final edited form as: J Am Acad Child Adolesc Psychiatry. 2011 Dec 20;51(2):147–156. doi: 10.1016/j.jaac.2011.11.008

Stimulants and Cardiovascular Events in Youth with Attention-Deficit/Hyperactivity Disorder

Mark Olfson 1, Cecilia Huang 2, Tobias Gerhard 3, Almut G Winterstein 4, Stephen Crystal 5, Paul D Allison 6, Steven C Marcus 7
PMCID: PMC3266532  NIHMSID: NIHMS340697  PMID: 22265361

Abstract

Objective

This study examines associations between stimulant use and risk of cardiovascular events and symptoms among youth with attention-deficit/hyperactivity disorder and compares the risks associated with methylphenidate and amphetamines.

Method

Claims were reviewed of privately insured young people, ages 6 to 21 years, without known cardiovascular risk factors (n=171,126). A day-level cohort analysis evaluated risk of cardiovascular events following a diagnosis of ADHD in relation to stimulant exposures. On the basis of filled stimulant prescriptions, follow-up days were classified as current, past, and no stimulant use. End points included emergency department or inpatient diagnosis of 1) angina pectoris, cardiac dysrhythmia, or transient cerebral ischemia (cardiac events) or 2) tachycardia, palpitations, or syncope (cardiac symptoms).

Results

There were 0.92 new cardiac events and 3.08 new cardiac symptoms per 1,000,000 days of current stimulant use. Compared to no stimulant use (reference group), the adjusted odds ratio of cardiac events was 0.69 (95%CI=0.42–1.12) during current stimulant use and 1.18 (95%CI=0.83–1.66) during past stimulant use. The corresponding adjusted odds ratios for cardiac symptoms were 1.18 (95%CI=0.89–1.59) for current and 0.93 (95%CI=0.71–1.21) for past stimulant use. No significant differences were observed in risks of cardiovascular events (2.14, 95%CI=0.82–5.63) or symptoms (1.08, 95%CI=0.66–1.79) for current methylphenidate use compared with amphetamine use (reference group).

Conclusions

Clinical diagnoses of cardiovascular events and symptoms were rare and not associated with stimulant use. The results help to allay concerns over the cardiovascular safety of stimulant treatment for ADHD in young people without known pre-existing risk factors.

Keywords: attention-deficit/hyperactivity disorder, stimulants, cardiovascular events, drug safety, pharmacoepidemiology


With an estimated prevalence in youth of approximately 5 to 9 percent, attention-deficit/hyperactivity disorder (ADHD) is one of the most common mental disorders of childhood and adolescence.13 Stimulants are widely considered the first-line pharmacological treatment for children and adolescents with ADHD.45 Approximately 3.2% of youth in the United States are treated with stimulants each year.6 The clinical importance of stimulant medications is underscored by the limited clinical effectiveness of even intensive alternative non-pharmacological interventions for ADHD.7

The FDA labeling of all stimulants includes a warning regarding sudden death. Specifically, the labeling warns that "sudden death has been reported in association with CNS stimulant treatment at usual doses in children and adolescents with structural cardiac abnormalities or other serious heart problems."8 A recent FDA drug safety communication also indicates that patients treated with ADHD medications should be periodically monitored for changes in heart rate or blood pressure.9 Case reports from the FDA Adverse Event Reporting System10 and reviews of stimulant adverse events in emergency department records11 have coincided with concerns regarding the cardiovascular safety of stimulants in the broader population of youth without known cardiac problems.12

Cardiovascular symptoms, such as palpitations and tachycardia which are likely related to direct stimulant adrenergic agonist effects,13 should be distinguished from more serious cardiovascular events that have poorly understood potential pathophysiological pathways. Whether stimulant mediated elevations in heart rate and blood pressure are harmful to the cardiovascular system of otherwise healthy young people is not known.14 One potential pathway for severe cardiac events is acute tachycardia-induced cardiomyopathy, a reversible form of cardiomyopathy in children and adults.1516 It is more often associated with supraventricular or ventricular tachycardia and tachycardia-induced cardiomyopathy than with sinus tachycardia.17 Controlling the arrhythmia and the heart rate usually results in rapid improvement in cardiac function with normalization of the ejection fraction within one to two weeks.18

The incidence of cardiovascular events is sufficiently rare that randomly controlled trials are unlikely to ever provide sufficient power to assess this aspect of stimulant safety. One retrospective cohort study focused on youth 3 to 20 years who were newly diagnosed with ADHD (n=55,383), using 10 consecutive years of Florida Medicaid claims data.19 Compared with nonuse, stimulant use was associated with a small though significant increase in the hazard for emergency department visits and physician office visits, respectively, for cardiac causes or symptoms. No cardiac deaths and very few hospital admissions for circulatory disease were reported in over 40,000 person-years of stimulant use.19 In a second analysis of the same data set, risk for cardiac emergency department visits was similar among children and adolescents who were currently using methylphenidate or amphetamines.20 A second study that included almost 20,000 person-years of follow-up found no association between stimulant treatment and sudden death in young people.21 A recent third large cohort analysis also reported that youth prescribed ADHD medications (n=241,417) were not significantly more likely than matched youth who had not been prescribed ADHD medications (n=965,668) to have a stroke, myocardial information, or ventricular arrhythmia.22 A fourth cohort study of 1.2 million children and young adults including over 370,00 person-years of current use of ADHD drugs revealed 7 serious cardiovascular events among current medication users and no evidence of increased risk of serious cardiovascular events associated with ADHD medication use.23 Despite their large size, limited numbers of events in these studies constrain their ability to exclude small relative increases in risk.

The current analysis focuses on the treatment of ADHD with methylphenidate and mixed salts of amphetamine. Claims records from a large privately insured population are examined for cardiovascular events and symptoms. Associations are examined between stimulant treatment and risk of cardiovascular events among youth with ADHD without known risk factors.

METHOD

Study Cohort

Service and pharmacy claims were examined from the MarketScan Research Databases (1996–2007). These data are collected directly from over 150 large employers including 80 health plans and representing enrollees from all 50 states and over 30 million covered lives.24 All study procedures were approved by the Institutional Review Board of the New York State Psychiatric Institute.

We first limited the cohort to patients who were aged 6 to 21 years age and who had an initial first or second listed service claim for ADHD (ICD-9-CM:314) after a period of eligibility of at least 180 days without an ADHD medical claim diagnosis. This date is referred to as time zero (t0). We further required patients not to have filled any prescriptions for stimulants during the 180 day period before t0.25 A day-level cohort analysis was conducted to evaluate risk of cardiovascular events and symptoms in relation to stimulant exposures starting at t0 and continuing until the time of an event or end of study period, loss of eligibility, or death, whatever came first.

Cohort eligibility criteria sought to assure the availability of necessary information and to exclude patients likely to have events related to underlying general medical disorders. During the 180 days before t0, cohort members had to be enrolled in a health plan with pharmacy coverage. Patients were excluded if they received a “High Risk Exclusion Condition” diagnosis at any time before or after t0. Patients were also excluded if they were diagnosed with a “High Risk Censored Event” during the 180 day period before t0. Patients who first received a “High Risk Censored Event” diagnosis following t0 were censored at that point. The list of high risk censored events and high risk exclusion conditions was developed from a review of risk factors for stroke,26 myocardial infarction,27 and other cardiovascular events and following consultation with medical subspecialists (see Table 1 for lists of high risk censored events and exclusions).

Table 1.

High risk exclusion conditions and potentially confounding factors entered into propensity score

High Risk Exclusion Conditions High Risk Exclusion Conditions
(cont)
Diseases in Propensity Score
Congenital anomalies, nervous system Malignant essential hypertension Prothrombotic state
Congenital anomalies, heart Pailledema Atherosclerosis
Congential anomalies, circulatory system Cardiac or respiratory complications, NEC Hyperlipidemia
Cardiac valvular disease Cardiac pacemaker Collagen vascular disease
Cystic fibrosis Nervous system device Obesity
Neoplasms Diabetes
Immune deficiencies and HIV High Risk Censored Events Asthma
Hemolytic and aplastic anemias; Concussion Renal disease
Disorders of amino acid transport Cerebral laceration and contusion Hypertension
Thrombosis or embolism Cerebral hemorrhage, injury Depression
Heart Failure Intracranial injury Anxiety
Pericarditis or related diseases Traumatic pneumothorax Substance use disorder
Endocarditis or related diseases Injury to heart and lung
Myocarditis and cardiomyopathies Facture of skull Drugs in Propensity Score
Conduction disorders Injury of head/neck, blood vessels Clonidine
Intracranial abscess or related diseases Injury thorax blood vessels Xanthines
Cerebral degeneration Injury to skull Adrenergic bronchodilators
Anoxic brain damage or related diseases Injury to nervous system Inotropic agents
Chronic liver disease or hepatitis Contusion to chest wall Systemic corticosteroids
Mental retardation, moderate or severe Spinal cord injury, thoracic level Oral contraceptives
Cerebral palsy or other paralyses Injury to face and neck Highly active antiretrovirals
Muscular dystrophy Injury to trunk and chest wall Anthracyclines
Chromosomal anomalies Poisoning Selective COX-2 inhibitors
Lupus erythematosus Toxicities Antipsychotic medications
Coagulation defects Foreign body gastrointestinal tract Monoamine oxidase inhibitors
Diseases of white blood cells Open wound of head Erythromycin
Schizophrenia and autism Open wound of chest wall Ciprofloxacin
Meningitis or encephalitis Coma and stupor Antihypertensives
Spinocerebellar diseases Fracture of thoracic vertebrae Lipid lowering drugs
Syringomyelia Fracture of ribs or sternum Anticoagulants
Multiple sclerosis or related diseases Sprain of ribs or sternum Antiarrythmic drugs
Rheumatic heart disease Transient organic psychotic state Antianginal agents
Aortic or cerebral aneurysm Obstructive sleep apnea Other stimulants
Peripheral vascular disease
Pancreatitis
Acute pulmonary heart disease

Note: HIV = Human immunodeficiency virus; NEC = necrotizing enterocolitis.

From an initial cohort of age and service eligible patients with qualifying ADHD diagnoses (n=268,606), the most common exclusions were for stimulant use (n=75,722) and high risk exclusion conditions (n=20,342) during the 180 day pre-period. Other common exclusions included high risk censoring events (n=9,403), chest pain (n=2,260), and syncope (n=1,074) during the preperiod. Less common exclusions were tachycardia (n=318), less severe cardiovascular events (angina, dysrhythmia, or transient cerebral ischemia) (n=130), and severe cardiovascular events (n=31) during the preperiod.

Cardiovascular Events

We initially planned to study three levels of cardiovascular events: severe cardiovascular events, less severe cardiovascular events, and cardiovascular symptoms. Severe cardiovascular events were defined by an inpatient claim for acute myocardial infarction (ICD-9-CM: 410), subarachnoid or intracerebral hemorrhage (ICD-9-CM: 430, 431), occlusion or stenosis of cerebral arteries (ICD-9-CM: 433-434), acute cerebrovascular disease (ICD-9-CM: 436), ischemic heart disease (ICD-9-CM: 411.89), sudden death (ICD-9-CM: 798), and respiratory arrest (ICD-9-CM: 799.1). These codes have established validity in adults.2831 A preliminary analysis revealed only one incident case, which occurred during a period of current methylphenidate use, and no further analyses of severe cardiovascular events were performed.

Less severe events included angina pectoris (ICD-9-CM: 413),32 cardiac dysrhythmias (ICD-9-CM: 427),33 or transient cerebral ischemia (ICD-9-CM: 435)34 that is listed on any position in an emergency department or inpatient claim. Secondly, the cardiovascular symptom tachycardia (ICD-9-CM: 785.0), palpitations (ICD-9-CM:785.1) or syncope (ICD-9-CM: 780.2) listed in any position on an emergency department or inpatient claim was studied separately as an endpoint.

Stimulant Exposure

The independent variable of interest was exposure to stimulants, which included all methylphenidate and amphetamine preparations. Using available information on the dates of prescriptions and the days of supply, we classified each patient-day into one of the following three categories: 1) Non-use defined as days of patients who never used stimulants from time t0 to the current day, 2) Current use defined as patient-days occurring between the filling of a stimulant prescription through the end of the days of supply, and 3) Former use defined as patient-days with stimulant use in the past (on or after t0) but not current stimulant use. Over the course of observation, a patient could switch from non-use to current use, and then could alternate between current use and former use.

Propensity Score

In order to help balance the exposure groups with respect to measured covariates, a propensity score for each day of stimulant treatment was developed that included a wide range of potentially confounding variables. The propensity score summarizes associations of selected observed covariates with treatment assignment. Adjusting for the propensity score efficiently removes bias due to these covariates and improves control of measured confounding over a conventional multivariate model when the outcome is scarce.35 Because general medical conditions and medications that affect cardiovascular function may influence clinical decisions to initiate stimulants,36 they were entered into the propensity score model (see Diseases and Drugs in Propensity Score in Table 1). These conditions and medications were based on literature reviews37 and discussions with colleagues. Calendar month was included to accommodate seasonal stimulant treatment variation over the course of a year.38 Receipt of one or more well child visits, which served as a proxy for preventive care, as well as patient age and sex were also entered as covariates into the propensity score. Day-level propensity scores were estimated by logistic regressions in which stimulant use time was the dependent variable and correlates of stimulant use were covariates (Table 1).39 Separate propensity scores were calculated for propensity to stimulant non-use or current use and propensity to stimulant non-use or past use. These propensity scores were separately calculated for overall stimulant use, methyphenidate use, and amphetamine use. In adjusted models, the propensity quintile score for current as compared with non-use was inversely related to risk of the cardiovascular outcomes (data not shown).

Analytic Strategy

Rates of first claim for less severe cardiovascular events and for cardiovascular symptoms per million days were first determined for current, past, and non-use of stimulants during the follow-up period. Day-level logistic regressions were then performed to derive adjusted odds ratios with associated 95% confidence intervals. These logistic regression analyses closely resemble time dependent covariate Cox regression analyses but are computationally more efficient.40 Stimulant use was the independent variable of interest, cardiovascular event was the dependent variable, and propensity score (quintiles), patient age category, and days from index diagnosis were covariates. Within an individual patient, stimulant use was a time varying variable.

Corresponding analyses were performed with first onset of cardiovascular symptom as the outcome. Separate corresponding analyses were also performed to compare rates for cardiovascular outcomes for the two stimulant groups, methylphenidate and amphetamine salts. In these analyses, current methylphenidate and amphetamine use were compared, controlling for past use of the other stimulant, in unadjusted and adjusted models. Comparable models compared past methylphenidate and amphetamine use excluding all days with current or no stimulant use. Because the outcomes were infrequent, a disease risk score was not utilized.35

RESULTS

Background Characteristics

The study sample included 171,126 youth who contributed 304,310 person years (111,073,077 days) of follow-up to the analysis. Background characteristics were compared for patients who did or did not use stimulants at any point during follow-up (Table 2). As compared to patients who did not use stimulants, patients who used stimulants were significantly younger and more likely to be male. During the 180 days prior to the visit for ADHD, a significantly smaller percentage of stimulant-using than non-using patients had markers of cardiovascular risk. Significant group differences were evident for inpatient treatment for any reason, diagnosis of obesity, diabetes, asthma, depression, anxiety, and substance use disorders as well as prescription of any of the medications associated with risk of cardiovascular events (Table 2).

Table 2.

Background characteristics of privately insured youth diagnosed with attention-deficit/hyperactivity disorder by stimulant use during the follow-up period

Characteristic Patients with
Stimulant Use %
(n=89,031)
Patients without
Stimulant Use %
(n=82,095)
Statistics
Sex Χ2=28.6, df=1, p<0.001
  Male 67.68 66.47
  Female 32.32 33.53
Age, years Χ2=438.5, df=1, p<0.001
  6–12 60.71 55.71
  13–21 39.29 44.29
Any selected medicationa 6.00 6.42 Χ2=12.9, df=1, p=0.003
Selected diseasesa
  Prothrombotic state 1.41 1.38 Χ2=0.4, df=1, p=0.51
  Atherosclerosis 0.02 0.02 Χ2=0.2, df=1, p=0.68
  Hyperlipidemia 0.28 0.31 Χ2=1.0, df=1, p=0.32
  Collagen vascular disease 0.06 0.07 Χ2=1.0, df=1, p=0.32
  Obesity 0.33 0.38 Χ2=4.1, df=1, p=0.04
  Diabetes mellitus 0.28 036 Χ2=7.3, df=1, p=0.007
  Asthma 3.44 3.69 Χ2=8.2, df=1, p=0.004
  Renal disease 0.12 0.15 Χ2=4.0, df=1, p=0.05
  Hypertension 0.12 0.13 Χ2=1.2, df=1, p=0.28
  Depression 4.17 5.60 Χ2=189.4, df=1, p<0.0001
  Anxiety 2.83 3.32 Χ2=34.7, df=1, p<0.0001
  Substance use disorder 0.62 1.35 Χ2=237.1, df=1, p<0.0001
Any inpatient treatment 0.65 1.27 Χ2=178.5, df=1, p<0.0001

Note:

a

Selected medications and selected diseases are based on claims during the 180 day period before the index attention-deficit/hyperactivity disorder visit. Variables representing these medications, diseases, and inpatient treatment were entered into the propensity score. See Table 1 for list of the medications and diseases that were entered into the propensity score.

Exposure Groups

The patient cohort was distributed among patients who received no stimulants (48.0%), methylphenidate only (26.3%), amphetamine salts only (17.1%) and both stimulant classes (8.6%) during follow-up. Days of follow-up were distributed across no stimulant use (46.6%), past stimulant use (32.9%) and current stimulant use (20.5%).

Stimulant Exposure and Cardiovascular Outcomes

Among the current stimulant use group, the rate of less severe cardiovascular events was 0.92 events per 1,000,000 days of stimulant use or 1 event per 2,978 years of stimulant treatment (n=21). In the unadjusted model, current stimulant use as compared with no stimulant use was associated with significantly lower odds of a less severe cardiovascular event. This association was no longer significant after controlling for the propensity score, patient age, and days from the index ADHD diagnosis. Past stimulant use was not associated with less severe cardiovascular events in either unadjusted or adjusted regressions (Table 3).

Table 3.

Rates and adjusted odds ratios of less severe cardiovascular events and cardiovascular symptoms by stimulant use groups for privately insured youth diagnosed with attention-deficit/hyperactivity disorder

Stimulant Use Group Day Level
Event Rate per
Million Days (n)
Odds Ratio (95% CI) Adjusted Odds Ratioa
(95% CI)
Less Severe Cardiovascular Event
  Current stimulant use 0.92 (n=21) 0.60 (0.37–0.97) 0.69 (0.42–1.12)
  Past stimulant use 1.67 (n=61) 1.08 (0.78–1.51) 1.18 (0.83–1.66)
  No stimulant use 1.55 (n=80) 1.00 1.00
Cardiovascular Symptoms
  Current stimulant use 3.08 (n=70) 1.06 (0.80–1.41) 1.18 (0.89–1.59)
  Past stimulant use 2.53 (n=92) 0.87 (0.67–1.13) 0.93 (0.71–1.21)
  No stimulant use 2.90 (n=150) 1.00 1.00

Note: See text for definition of stimulant use groups. Less severe cardiovascular events include angina pectoris, cardiac dysrhythmias, or transient cerebral ischemia. Cardiovascular symptoms include tachycardia, palpitations, and syncope. CI = confidence interval.

a

All adjusted odds ratios are adjusted for propensity score, patient age, and days from index attention-deficit/hyperactivity disorder diagnosis. In addition, the adjusted odds ratios of less severe cardiovascular events are also adjusted for cardiovascular symptoms.

Among periods of current stimulant use, inpatient or emergency department diagnoses of cardiovascular symptoms occurred at a rate of 3.08 events per 1,000,000 days of stimulant use or 1 event per 890 years of stimulant treatment (n=70). As compared with no stimulant use, neither current nor past stimulant use was significantly related to cardiovascular symptoms in either the adjusted or unadjusted model (Table 3).

A direct comparison of current amphetamine and current methylphenidate use revealed no significant associations with either less severe cardiovascular events or cardiovascular symptoms (Table 4). However, there was a non-significant trend toward greater risk of event with current methylphenidate than amphetamine. The analogous comparison of past amphetamine and methylphenidate use also revealed no significant associations with either adverse outcome (Table 4).

Table 4.

Rates and adjusted odds ratios of less severe cardiovascular events and cardiovascular symptoms for privately insured youth diagnosed with attention-deficit/hyperactivity disorder by current, former, and non-use of stimulants, by stimulant class


Stimulant Use Group

Day Level
Event Rate per
Million Days (n)

Odds Ratio (95% CI)
Adjusted
Odds Ratio (95% CI)a
Less Severe Cardiovascular Events
  Current methylphenidate use 1.06 (n=14) 1.57 (0.62–3.96) 2.14 (0.82–5.63)
   Current amphetamine use 0.72 (n=7) 1.00 1.00
  Past methylphenidate use 1.70 (n=45) 1.06 (0.59–1.91) 1.23 (0.67–2.25)
  Past amphetamine use 1.84 (n=37) 1.00 1.00
Cardiovascular Symptoms
  Current methylphenidate use 2.58 (n=34) 0.69 (0.43–1.10) 1.08 (0.66–1.79)
  Current amphetamine use 3.72 (n=36) 1.00 1.00
  Past methylphenidate use 2.57 (n=68) 0.98 (0.62–1.54) 1.13 (0.72–1.79)
  Past amphetamine use 2.59 (n=52) 1.00 1.00

Note: See text for definition of stimulant use groups. Less severe event analyses also adjusted for cardiovascular symptoms. Less severe cardiovascular events include angina pectoris, cardiac dysrhythmias, or transient cerebral ischemia. Cardiovascular symptoms include tachycardia, palpitations, and syncope. CI = confidence interval.

a

All adjusted odds ratios are adjusted for propensity score, patient age, and days from index ADHD diagnosis. In addition, the adjusted odds ratios of less severe cardiovascular events are also adjusted for cardiovascular symptoms.

DISCUSSION

Severe cardiovascular events were quite uncommon among privately insured young people who have received a clinical diagnosis of ADHD and have no known cardiovascular risk factors. Only one such event was observed yielding an incidence approximately 0.3 per 100,000 years of follow-up. This compares with a previously published corresponding incidence of severe cardiovascular events of 0.5 per 100,000 person-years in youth not receiving ADHD medications22 and an incidence of 3.1 serious cardiovascular events per 100,000 person-years in a cohort that included children and young adults, ages 2 to 24 years, without known pre-existing potentially life-threatening diseases.23 Less severe cardiovascular events including angina, dysrhythmia, or transient cerebral ischemia, which occurred at rate of roughly 1 per 3,000 years of follow-up in the present study, were not significantly related to stimulant use in the final models. Current stimulant use trended toward a protective effect of these events which is likely a consequence of residual confounding. No significant associations were also reported between stimulant use and emergency or inpatient diagnosis of cardiovascular symptoms. In keeping with an earlier report, the risk of less severe cardiovascular events and symptoms did not significantly differ between periods of current amphetamine and methylphenidate use.19 These findings help to allay concerns over the cardiovascular safety of stimulant therapy for ADHD in young people without known pre-existing risk factors.

The absence of a positive association between stimulant use and cardiovascular outcomes differs slightly with results from the earlier claims-based study of Florida Medicaid data.19 In this study, the adjusted association between current stimulant use and emergency department visits for cardiac symptoms and circulatory disease achieved statistical significance (hazard ratio=1.20; 95% CI=1.04–1.38). This finding was driven largely by the far more common cardiac symptoms than cardiac disease events. The comparable finding from the present study (hazard ratio=1.18; 95% CI=0.89–1.59) was similar in magnitude but failed to achieve statistical significance. This pattern suggests that stimulants may make a small contribution to the risk of palpitations or other minor symptoms,41 but these risks do not seem to translate into more clinically significant outcomes such as angina, dysrhythmias, or transient cerebral ischemia.

In the present study, the observed non-significant tendency for current stimulant use to lower risk of less severe cardiovascular events is likely a spurious consequence of residual confounding. Some evidence from adults with ADHD indicates that physicians tend to avoid prescribing stimulants to patients with cardiovascular risk factors.35.42 Physicians may have greater concerns over the safety of amphetamines than methylphenidate and tend to avoid prescribing to youth who have known or suspected drug abuse problems out of concern over stimulant misuse or diversion.43 Young people with greater vulnerability to cardiovascular disease may be relatively unlikely to receive stimulants, especially amphetamines, or to receive a shorter duration or lower dose of stimulant treatment. Without random assignment, it is not possible to exclude the possibility of confounding by cardiovascular risk which might explain the observed trend towards a protective effect of current stimulant use over no use and current amphetamine use over methylphenidate use. Several important risk factors, such as smoking, physical inactivity, diet, family history of cardiovascular disease, undiagnosed cardiovascular disease, and lifetime history of previous events are not available in claims data. Other risk factors, such as obesity and hypertension, are poorly measured in claims data. Importantly, even if residual confounding were present, as appears likely, a dramatic stimulant safety signal should have offset this effect and resulted in a safety signal.

It is unlikely that stimulants actually protect from cardiovascular events. Amphetamines are adrenergic agonists with acute chronotropic and pressor effects.41 Centrally, amphetamines mediate release of norepinephrine and dopamine. Peripherally, amphetamines are sympathomimetic agents that stimulate alpha and beta receptors, leading to blood pressure and heart rate elevation. In adults, persistent hypertension is a well accepted risk factor for coronary artery disease, stroke, and several other cardiovascular diseases4,44 and a fast heart rate is a predictor of cardiovascular morbidity and mortality.45 Although moderate tea and coffee consumption provide examples of compounds with mild chronotropic and pressor effects that nevertheless have been found to decrease risks of cerebral vascular events46 and myocardial infarction47 in adults, these effects are thought to be mediated by antioxidant phenolic compounds48 that do not occur in amphetamines or methylphenidate.49

The present report has several limitations beyond potential confounding by unmeasured cardiovascular risk. First, claims data only capture cardiovascular events that receive medical treatment. Asymptomatic arrhythmias,50 for example, commonly escape detection and treatment. Second, the validity and clinical significance of claims for cardiovascular events, which have been studied in adults, have not been well documented in young people. Palpitations are a common presenting clinical complaint in young people that are usually benign and may be non-cardiac in origin51 and syncope in young people is almost always benign.52 Some of the outcome events under study, therefore, may not be cardiovascular in origin. Third, a more sensitive measure of stimulant use, such as pill counts, might have yielded more accurate information, but is clearly impractical on the scale required for a study of such rare events. Nevertheless, there is reasonable concordance between drug claims records and self-report medication use33 and between administrative drug claims and the medications actually dispensed.53 Fourth, the analysis is limited to patients in private health insurance plans. Because risk of cardiovascular disease tends to be inversely related to social class,54 the risk profile of privately insured patients likely differs from that of Medicaid patients. However, more than one-half of all children in the United States have private health insurance coverage.55 Fifth, the results should not be extended to illicit use of stimulants.5657 Finally, despite the large size of the base population, it was not large enough to assess associations between stimulant exposures and severe cardiovascular events.

An analysis of over 100 million days of follow-up of young people diagnosed with ADHD demonstrated no significant increase in risk of angina, cardiac dysrhythmia, transient cerebral ischemia, or more common cardiovascular symptoms associated with stimulant use. The present study did not address the question of sudden and unexplained death. In a matched case control study of youth who died of unexplained causes or as passengers in motor vehicle accidents, an association was reported between methylphenidate use and sudden unexplained death.58 Because this study specifically excluded sudden death due stroke or myocardial infarction and because only a minority of sudden and unexplained deaths in young people are ultimately determined to be cardiovascular in origin,5960 it is difficult compare the two studies. Although the reassuring results of the present study are generally consistent with other recent pharmaco-epidemiologic safety studies,1923 they do not exclude the possibility raised by the case-control study of exceedingly rare, poorly understood, catastrophic stimulant associated adverse events.

In the present analysis, stimulant treatment was not associated with a substantially increased risk of cardiovascular events in otherwise apparently healthy young people receiving treatment for ADHD for an average follow-up of one and three quarters years. In view of safety concerns in higher risk patients, however, it is prudent before initiating stimulant therapy to follow current recommendations that include taking a personal and family cardiovascular history with special attention to a family history of premature sudden death and a personal history of syncope, dizziness, palpitations, and chest pain and to perform a physical examination including a careful cardiac examination.61

Acknowledgments

This study was supported by National Institute of Mental Health grant R21 MH079905, Agency for Healthcare Research and Quality award U18 HS016097, and the Center for Education and Research on Mental Health Therapeutics.

Dr. Olfson has received research grants to Columbia University from Eli Lilly and Co. and Bristol-Myers Squibb. Dr. Marcus has received grant support from Ortho-McNeil Janssen, and has served as a consultant to AstraZeneca.

Footnotes

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Dr. Huange had full access to all of the data in the study and takes full responsibility for the integrity of the data and the accuracy of the data analysis. The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation or approval of the manuscript.

Disclosure: Drs. Huang, Gerhard, Winterstein, Crystal, and Allison report no biomedical financial interests or potential conflicts of interest.

Contributor Information

Mark Olfson, New York State Psychiatric Institute and the College of Physicians and Surgeons of Columbia University..

Cecilia Huang, Institute for Health, Health Care Policy and Aging Research of Rutgers University, New Jersey.

Tobias Gerhard, Rutgers University..

Almut G. Winterstein, College of Pharmacy and the Colleges of Medicine and Public Health and Health Professions at the University of Florida in Gainesville, Florida..

Stephen Crystal, Institute for Health, Health Care Policy and Aging Research of Rutgers University, New Jersey..

Paul D. Allison, University of Pennsylvania..

Steven C. Marcus, Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center, and the School of Social Policy and Practice, University of Pennsylvania..

References

  • 1.Wolraich ML, Hannah JN, Pinnock TY, Baumgaertel A, Brown J. Comparison of diagnostic criteria for attention-deficit hyperactivity disorder in a county-wide sample. J Am Acad Child Adolesc Psychiatry. 1996;35:319–324. doi: 10.1097/00004583-199603000-00013. [DOI] [PubMed] [Google Scholar]
  • 2.Shaffer D, Fisher P, Dulcan MK, et al. The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): Description, acceptability, prevalence rates, and performance in the MECA Study. Methods for the Epidemiology of Child and Adolescent Mental Disorders Study. J Am Acad Child Adoles Psychiatry. 1996;35:865–877. doi: 10.1097/00004583-199607000-00012. [DOI] [PubMed] [Google Scholar]
  • 3.Merikangas KR, He JP, Burstein M, Swanson SA, Avenevoli S, Cui L, Benjet C, Georgiades K, Swendsen J. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication-Adolescent Supplement (NCS-A) J Am Acad Child Adolesc Psychiatry. 2010;49(10):980–989. doi: 10.1016/j.jaac.2010.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.American Academy of Child & Adolescent Psychiatry. Practice parameter for the assessment and treatment of children and adolescents with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2007;46:894–921. doi: 10.1097/chi.0b013e318054e724. [DOI] [PubMed] [Google Scholar]
  • 5.American Academy of Pediatrics. Subcommittee on Attention-Deficit/Hyperactivity Disorder and Committee on Quality Improvement: Clinical practice guideline: treatment of the school-aged child with attention deficit/hyperactivity disorder. Pediatrics. 2001;108:1033–1044. doi: 10.1542/peds.108.4.1033. [DOI] [PubMed] [Google Scholar]
  • 6.Zuvekas SH, Vitiello B, Norquist GS. Recent trends in stimulant medication use among U.S. children. Am J Psychiatry. 2006;163(4):579–585. doi: 10.1176/ajp.2006.163.4.579. [DOI] [PubMed] [Google Scholar]
  • 7.MTA Cooperative Group. A 14-month randomized clinical trial of treatment strategies for attention deficit/hyperactivity disorder. Arch Gen Psychiatry. 1999;56:1073–1086. doi: 10.1001/archpsyc.56.12.1073. [DOI] [PubMed] [Google Scholar]
  • 8.Physicians. Desk Reference 2010. Sixty-first edition. Montvale, NJ: Medical Economics Company; 2011. [Google Scholar]
  • 9.FDA Drug Safety Communication. Safety review Update of Medications used to treat Attention-Deficit/Hyperactivity Disorder (ADHD) in children and young adults. [accessed 2011, February 22]; http://www.fda.gov/Drugs/DrugSafety/ucm277770.htm.
  • 10.Office of Drug Safety. Rockville (MD): US Food and Drug Administration; 2006. [accessed 2011, February 22]. Follow up review of AERS search identifying cases of sudden death occurring with drugs used for the treatment of attention deficit hyperactivity disorder (ADHD) Available: www.fda.gov/ohrms/dockets/ac/06/briefing/2006-4210b_07_01_safetyreview.pdf. [Google Scholar]
  • 11.Cohen AL, Jhung MA, Budnitz DS. Stimulant medications and attention deficit-hyperactivity disorder. N Engl J Med. 2006;354:2294–2295. doi: 10.1056/NEJMc060860. [DOI] [PubMed] [Google Scholar]
  • 12.Vetter VL, Elia J, Erickson C, et al. Cardiovascular monitoring of children and adolescents with heart disease receiving medications for attention deficit/hyperactivity disorder: a scientific statement from the American Heart Association Council on Cardiovascular Disease in the Young Congenital Cardiac Defects Committee and the Council on Cardiovascular Nursing. Circulation. 2008;117:2407–2423. doi: 10.1161/CIRCULATIONAHA.107.189473. [DOI] [PubMed] [Google Scholar]
  • 13.Samuels JA, Franco K, Wan F, Sorof JM. Effect of stimulants on 24-h ambulatory blood pressure in children with ADHD: a double-blind, randomized, cross-over trial. Pediatr Nephrol. 2006;21(1):92–95. doi: 10.1007/s00467-005-2051-1. [DOI] [PubMed] [Google Scholar]
  • 14.Graham J, Coghill D. Adverse effects of pharmacotherapies for attention-deficit hyperactivity disorder: epidemiology, prevention and management. CNS Drugs. 2008;22:21–237. doi: 10.2165/00023210-200822030-00003. [DOI] [PubMed] [Google Scholar]
  • 15.El Hajjar M, Hermida JS, Caron FM, Nassif D, Bourges-Petit E, Maingourd Y. Tachycardia-induced cardiomyopathy in children: a difficult diagnosis but a reversible form of left ventricular dysfunction. Arch Pediatr. 2004;11:24–28. doi: 10.1016/j.arcped.2003.11.005. [DOI] [PubMed] [Google Scholar]
  • 16.Umana E, Solares CA, Alpert MA. Tachycardia-induced cardiomyopathy. Am J Med. 2003;114:51–55. doi: 10.1016/s0002-9343(02)01472-9. [DOI] [PubMed] [Google Scholar]
  • 17.Grant SC, Bennett DH. Cardiomyopathy secondary to sinus tachycardia. Int J Cardiol. 1993;40:173–175. doi: 10.1016/0167-5273(93)90281-k. [DOI] [PubMed] [Google Scholar]
  • 18.Shinbane JS, Wood MA, Jensen DN, Ellenbogen KA, Fitzpatrick AP, Scheinman MM. Tachycardia-induced cardiomyopathy: a review of animal models and clinical studies. JACC. 1997;15:709–715. doi: 10.1016/s0735-1097(96)00592-x. [DOI] [PubMed] [Google Scholar]
  • 19.Winterstein AG, Gerhard T, Shuster J, Johnson M, Zito JM, Saidi A. Cardiac safety of central nervous system stimulants in children and adolescents with attention-deficit/hyperactivity disorder. Pediatrics. 2007;120:e1494–e1501. doi: 10.1542/peds.2007-0675. [DOI] [PubMed] [Google Scholar]
  • 20.Winterstein AG, Gerhard T, Shuster J, Saidi A. Cardiac safety of methylphenidate versus amphetamine salts in the treatment of ADHD. Pediatrics. 2009;124:e74–e80. doi: 10.1542/peds.2008-3138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.McCarthy S, Cranswick N, Potts L, Taylor E, Wong ICK. Mortality associated with Attention-Deficit Hyperactivity Disorder (ADHD) drug treatment: a retrospective cohort study of children, adolescents and young adults using the General Practice Research Database. Drug Safety. 2009;32(11):1089–1096. doi: 10.2165/11317630-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 22.Schelleman H, Bilker WB, Strom BL, Kimmel SE, Newcomb C, Guevara JP, Daniel GW, Cziraky MJ, Hennessy S. Cardiovascular events and death in children exposed and unexposed to ADHD agents. Pediatrics. 2011;127:1102–1110. doi: 10.1542/peds.2010-3371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cooper WO, Habel LA, Sox CM, et al. ADHD drugs and serious cardiovascular events in children and young adults. N Engl J Med. 2011 doi: 10.1056/NEJMoa1110212. [published online ahead of print November 1, 2011] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Adamson DM, Chang S, Hansen LG. White paper: health research data for the real world: the MarketScan databases. Medstat: Thomson; 2006. Jul, [Google Scholar]
  • 25.Ray WA. Evaluating medication effects outside of clinical trials: new user designs. Am J Epidemiol. 2003;158:915–920. doi: 10.1093/aje/kwg231. [DOI] [PubMed] [Google Scholar]
  • 26.Jordan LC. Stroke in childhood. Neurol. 2006;12:94–102. doi: 10.1097/01.nrl.0000195826.72179.0b. [DOI] [PubMed] [Google Scholar]
  • 27.Mahle WT, Campbell RM, Favalario-Sabatier J. Myocardial infarction in adolescents. J Pediatr. 2007;151:150–154. doi: 10.1016/j.jpeds.2007.02.045. [DOI] [PubMed] [Google Scholar]
  • 28.Rosamond WD, Chambless LE, Sorlie RD, Bell EM, et al. Trends in the sensitivity, positive predictive value, false positive rate, and comparability ratio of hospital discharge diagnosis codes for acute myocardial infarction in four US communities, 1987–2000. Am J Epidemiol. 2004;12:1137–1146. doi: 10.1093/aje/kwh341. [DOI] [PubMed] [Google Scholar]
  • 29.Kiyota Y, Schneeweiss S, Glynn RJ, Cannuscio CC, Avorn J, Solomon DH. Accuracy of Medicare claims based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records. Am Heart J. 2004;148:99–104. doi: 10.1016/j.ahj.2004.02.013. [DOI] [PubMed] [Google Scholar]
  • 30.Tirshwell DL, Longstreth WT. Validating administrative data in stroke research. Stroke. 2002;33:2465–2470. doi: 10.1161/01.str.0000032240.28636.bd. [DOI] [PubMed] [Google Scholar]
  • 31.Goldstein LB. Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke effect of modifier codes. Stroke. 1998;29:1602–1604. doi: 10.1161/01.str.29.8.1602. [DOI] [PubMed] [Google Scholar]
  • 32.Chun AA, McGee SR. Bedside diagnosis of coronary artery disease; a systematic review. Am J Med. 2004;117:334–343. doi: 10.1016/j.amjmed.2004.03.021. [DOI] [PubMed] [Google Scholar]
  • 33.Kashner TM. Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs. Medical Care. 1998;36:1324–1336. doi: 10.1097/00005650-199809000-00005. [DOI] [PubMed] [Google Scholar]
  • 34.Goldstein LB, Simel DL. Is this patient having a stroke? JAMA. 2005;293:2391–2402. doi: 10.1001/jama.293.19.2391. [DOI] [PubMed] [Google Scholar]
  • 35.Arbogast PG, Ray WA. Use of disease risk scores in pharmacoepidemiologic studies. Stat Med Med Res. 2009;18:67–80. doi: 10.1177/0962280208092347. [DOI] [PubMed] [Google Scholar]
  • 36.Gerhard T, Winterstein AG, Olfson M, Huang C, Saidi A, Crystal S. Pre-existing cardiovascular conditions and pharmacological treatment of adult ADHD. Pharmacoepidemiology and Drug Safety. 2010;19:457–464. doi: 10.1002/pds.1931. [DOI] [PubMed] [Google Scholar]
  • 37.Hennessy S, Schelleman H, Daniel GW, Bilker WB, et al. Cardiovascular safety of ADHD medications: rationale for and design of an investigator-initiated observational study. Pharmacoepidemiology and Drug Safety. 2010;19:934–941. doi: 10.1002/pds.1992. [DOI] [PubMed] [Google Scholar]
  • 38.Wolraich ML, Greenhilll LL, Pelham W, et al. Randomized, controlled, trial of OROS methylphenidate once a day in children with ADHD. Pediatrics. 2001;108:883–892. doi: 10.1542/peds.108.4.883. [DOI] [PubMed] [Google Scholar]
  • 39.D’Agostino RB. Propensity scores in cardiovascular research. Circulation. 2007;115:2340–2343. doi: 10.1161/CIRCULATIONAHA.105.594952. [DOI] [PubMed] [Google Scholar]
  • 40.D’Agostino RB, Lee ML, Belanger AJ, Cupples LA, Anderson K, Kannel W. Relation of pooled logistic regression to time dependent Cox regression analysis: The Framingham Heart Study. Stat in Med. 1990;9:1501–1515. doi: 10.1002/sim.4780091214. [DOI] [PubMed] [Google Scholar]
  • 41.Elia J, Vetter VL. Cardiovascular effects of medications for the treatment of Attention-Deficit Hyperactivity Disorder: what is known and how should it influence prescribing in children? Pediatric Drugs. 2010;12(3):165–175. doi: 10.2165/11532570-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 42.Kollins SH. ADHD, Substance use disorders, and psychostimulant treatment current literature and treatment guidelines. J Attention Dis. 2008;12(2):115–125. doi: 10.1177/1087054707311654. [DOI] [PubMed] [Google Scholar]
  • 43.Chobanian AV, Bakris GL, Black HR, et al. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289:2560–2572. doi: 10.1001/jama.289.19.2560. [DOI] [PubMed] [Google Scholar]
  • 44.Port S, Demer L, Jennrich R, Walter D, Garfinkel A. Systolic blood pressure and mortality. Lancet. 2000;355:175–180. doi: 10.1016/S0140-6736(99)07051-8. [DOI] [PubMed] [Google Scholar]
  • 45.Palatini P, Julius S. Elevated heart rate: a major risk factor for cardiovascular disease. Clin Exp Hyertens. 2004;26:637–644. doi: 10.1081/ceh-200031959. [DOI] [PubMed] [Google Scholar]
  • 46.Larsson SC, Mannisto S, Virtanen MJ, Kontto J, et al. Coffee and tea consumption and risk of stroke subtypes in male smokers. Stroke. 2008;39:1681–1687. doi: 10.1161/STROKEAHA.107.504183. [DOI] [PubMed] [Google Scholar]
  • 47.Andersen LF, Jacobs DR, Jr, Carlsen MH, Blomhoff R. Consumption of coffee is associated with reduced risk of death attributed to inflammatory and cardiovascular diseases in the Iowa Women’s Health Study. Am J Clin Nutr. 2006;83:1039–1046. doi: 10.1093/ajcn/83.5.1039. [DOI] [PubMed] [Google Scholar]
  • 48.Bonita JS, Mandarano M, Shuta D, Vinson J. Coffee and cardiovascular disease: In vitro, cellular, animal, and human studies. Pharmacol Res. 2007;55:187–198. doi: 10.1016/j.phrs.2007.01.006. [DOI] [PubMed] [Google Scholar]
  • 49.Frey BN, Martins MR, Petronilho FC, Dal-Pizzol F, et al. Increased oxidative stress after repeated amphetamine exposure: possible relevance as a model of mania. Bipolar Disord. 2006 Jun;8(3):275–280. doi: 10.1111/j.1399-5618.2006.00318.x. [DOI] [PubMed] [Google Scholar]
  • 50.Klein GJ. How to manage and evaluate asymptomatic arrhythmias. Can J Cardiol. 1994;10:327–329. [PubMed] [Google Scholar]
  • 51.Rajagopalan K, Potts JE, Sanatani S. Minimally invasive approach to the child with palpitations. Expert Rev Cardiovascular Therapy. 2006;4(5):681–693. doi: 10.1586/14779072.4.5.681. [DOI] [PubMed] [Google Scholar]
  • 52.McLeod KA. Syncope in childhood. Arch Dis Child. 2003;88:350–353. doi: 10.1136/adc.88.4.350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Levy R, O.Brien BJ, Sellors C, Grootendorst P, Willison D. Coding accuracy of administrative drug claims in the Ontario Drug Benefit database. Can J Clin Pharmaco. 2003;10:67–71. [PubMed] [Google Scholar]
  • 54.Macintyre S, Mutrie N. Socioeconomic differences in cardiovascular disease and physical activity: stereotypes and reality. J Royal Soc Health. 2004;124:66–69. doi: 10.1177/146642400412400209. [DOI] [PubMed] [Google Scholar]
  • 55.Holohan J, Cook A. The US economy and changes in health insurance coverage, 2000–2006. Health Affairs. 2008;2:w135–w144. doi: 10.1377/hlthaff.27.2.w135. [DOI] [PubMed] [Google Scholar]
  • 56.Sztajnkrycer MD, Hariharan S, Bond R. Cardiac irritability and myocardial infarction in a 13-year-old girl following recreational amphetamine overdose. Pediatr Emerg Care. 2002;18:E11–E15. doi: 10.1097/00006565-200208000-00004. [DOI] [PubMed] [Google Scholar]
  • 57.Packe GE, Garton MJ, Jennings K. Acute myocardial infarction caused by intravenous amphetamine abuse. Br Heart J. 1990;64:23–24. doi: 10.1136/hrt.64.1.23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Gould MS, Walsh BT, Munfakh JL, Kleinman M, Duan N, Olfson M, Greenhill L, Cooper T. Sudden death and use of stimulant medications in youths. Am J Psychiatry. 2009;166:992–1001. doi: 10.1176/appi.ajp.2009.09040472. [DOI] [PubMed] [Google Scholar]
  • 59.Morentin B, Aguilera B, Garamendi PM, Suarez-Mier MP. Sudden unexpected non-violent death between 1 and 19 years in north Spain. Arch Dis Child. 2000;82:456–461. doi: 10.1136/adc.82.6.456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Molander N. Sudden natural death in later childhood and adolescence. Arch Dis Child. 1982;52:572–576. doi: 10.1136/adc.57.8.572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Perrin JM, Friedman RA, Knilans TK Black Box Working Group, Section on Cardiology and Cardiac Surgery. Cardiovascular monitoring and stimulant drugs for attention-deficit/hyperactivity disorder. Pediatrics. 2008;122:451–453. doi: 10.1542/peds.2008-1573. [DOI] [PubMed] [Google Scholar]

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