Original Article
ADHD Drugs and Serious Cardiovascular Events in Children and Young Adults
November 1, 2011 (10.1056/NEJMoa1110212)
Comments open through November 8, 2011
- Abstract
- Article
- References
- Comments
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Background
Adverse-event reports from North America have raised concern that the use of drugs for attention deficit–hyperactivity disorder (ADHD) increases the risk of serious cardiovascular events.
Methods
We conducted a retrospective cohort study with automated data from four health plans (Tennessee Medicaid, Washington State Medicaid, Kaiser Permanente California, and OptumInsight Epidemiology), with 1,200,438 children and young adults between the ages of 2 and 24 years and 2,579,104 person-years of follow-up, including 373,667 person-years of current use of ADHD drugs. We identified serious cardiovascular events (sudden cardiac death, acute myocardial infarction, and stroke) from health-plan data and vital records, with end points validated by medical-record review. We estimated the relative risk of end points among current users, as compared with nonusers, with hazard ratios from Cox regression models.
Results
Cohort members had 81 serious cardiovascular events (3.1 per 100,000 person-years). Current users of ADHD drugs were not at increased risk for serious cardiovascular events (adjusted hazard ratio, 0.75; 95% confidence interval [CI], 0.31 to 1.85). Risk was not increased for any of the individual end points, or for current users as compared with former users (adjusted hazard ratio, 0.70; 95% CI, 0.29 to 1.72). Alternative analyses addressing several study assumptions also showed no significant association between the use of an ADHD drug and the risk of a study end point.
Conclusions
This large study showed no evidence that current use of an ADHD drug was associated with an increased risk of serious cardiovascular events, although the upper limit of the 95% confidence interval indicated that a doubling of the risk could not be ruled out. However, the absolute magnitude of such an increased risk would be low. (Funded by the Agency for Healthcare Research and Quality and the Food and Drug Administration.)
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Medications that are used to treat attention deficit–hyperactivity disorder (ADHD) are prescribed for more than 2.7 million children in the United States each year1 and have been considered to be relatively safe.2-5 However, reports of adverse events from Canada and the United States that have included cases of sudden death, myocardial infarction, and stroke in conjunction with the use of these drugs have raised concern about their safety.6,7 Although case reports from adverse-event reporting systems can be an important source for identifying medication safety signals, they cannot reliably quantify risk. Thus, there is a compelling need to obtain better safety data for these drugs. We used data from four large, geographically and demographically diverse U.S. health plans to conduct a retrospective cohort study of the use of ADHD drugs and the risk of serious cardiovascular events in children and young adults, with review of medical records to validate study end points. The study was conducted in parallel with a study of ADHD drug use and serious cardiovascular events in adults between the ages of 25 and 64 years.
Methods
Data Sources
We obtained study data from computerized health records of four health plans that together annually covered 22.4 million persons during the study period: Tennessee Medicaid, Washington State Medicaid, Kaiser Permanente California (Northern and Southern regions), and OptumInsight Epidemiology (national private insurance health-plan data). We augmented health-plan data with linkage to state death certificates and the National Death Index. Health-plan data included enrollment records, outpatient and inpatient claims, and records of filled prescriptions (including the dispensing date, drug name, dose, quantity, and duration of supply), which have been shown to be good measures of medication use.8-11 The initiation of the study differed according to site on the basis of the earliest availability of the site's computerized data (ranging from 1986 to 2002). Follow-up concluded for all sites at the end of 2005. Each site prepared standardized files from health-plan data and used computer programs from the lead site (Vanderbilt University) to define study variables and create files in which identifiers of patients had been removed. These files were sent to the lead site for analyses.
Study Population
To assemble the cohort, we identified patients who met the following criteria: use of an ADHD drug (methylphenidate, dexmethylphenidate, dextroamphetamines, amphetamine salts, atomoxetine, or pemoline) during the study period; an age of 2 to 24 years on the first day of qualifying use; continuous enrollment with drug benefits for 365 days preceding the first day of qualifying use (allowing for short administrative gaps in enrollment); and the absence of possibly life-threatening serious illness (Section 1 in the Supplementary Appendix, available with the full text of this article at NEJM.org). Because patients with congenital heart disease may be vulnerable to the effects of ADHD medications, such patients were included in the study. Exclusion criteria included a hospital discharge during the preceding 365 days with a primary diagnosis of acute myocardial infarction or stroke. The last day of study follow-up was the last day of the study or the date on which the patient no longer met study criteria. A given patient was allowed to reenter the cohort as long as all the cohort eligibility requirements were met.
For each patient receiving an ADHD medication, we randomly selected up to two nonuser control subjects from health-plan members at the same site who were enrolled on the first day of qualifying use at the age of 2 to 24 years, who met continuous-enrollment requirements, and who did not have a serious illness. Nonusers were matched with users on the basis of calendar year, age, and sex and were allowed to have previous nonqualifying use of ADHD drugs before the first day of qualifying use. Follow-up for nonusers began on the first day of qualifying use for the matched users of ADHD drugs and ended on the nonuser's last day of study follow-up (Section 2 in the Supplementary Appendix). Follow-up time did not include the time during hospitalization and the 30 days after discharge because in-hospital deaths were not considered to be study end points and health-plan files did not include drugs dispensed in the hospital.
Use of Study Drugs
Every person-day during study follow-up was classified according to use of ADHD drugs (Section 2 in the Supplementary Appendix). Current use was defined as use during the period between the prescription start date and the end of the days of supply (including up to a 7-day carryover from previous prescriptions). Former use was defined as use during the period after current use through the end of study follow-up. Nonuse was defined as no prescribed use of ADHD drugs on the day being classified or any preceding days. Former users and nonusers could become current users of ADHD drugs during follow-up, and when this occurred, their user person-time was classified as described above.
Study End Points
The primary study end point was a serious cardiovascular event, which was defined as sudden cardiac death, myocardial infarction, or stroke. Sudden cardiac death was defined as a sudden, pulseless condition or collapse consistent with a ventricular tachyarrhythmia occurring in a community setting and including both fatal and resuscitated cardiac arrest (cases in which an arrest occurred in the community but the patient was successfully resuscitated).12-16 The diagnosis of acute myocardial infarction required hospitalization and met the international diagnostic criteria for myocardial infarction.17-19 Stroke was defined as an acute neurologic deficit of sudden onset that persisted for more than 24 hours, corresponded to a vascular territory, and was not explained by other causes (e.g., trauma, infection, vasculitis, or profound systemic hypotension).17,20,21
Potential end points were identified from claims and vital records and adjudicated through review of all pertinent medical records, including hospitalizations, reports of emergency medical services, autopsies, and death certificates (Section 3 in the Supplementary Appendix). Criteria for potential cases were intentionally broad to increase sensitivity because we anticipated that study end points would be rare and planned to review medical records for all potential cases. All events were adjudicated by two cardiologists (for sudden cardiac death and acute myocardial infarction) or two neurologists (for stroke). These adjudicators reviewed cases from all sites and were unaware of exposure status (Section 4 in the Supplementary Appendix). Disagreements among adjudicators (<5% of cases) were resolved by consensus with the study principal investigator.
Cases were excluded if the documentation suggested a cause other than a cardiovascular cause (e.g., motor-vehicle accident or drug overdose) or for sudden cardiac death, if clinically severe heart disease was present and sudden cardiac death was not unexpected (e.g., end-stage congestive heart failure). Congenital heart defects that had not been diagnosed until autopsy were noted but did not result in the exclusion of the potential case. In cases in which we were unable to obtain pertinent medical records or had insufficient information for adjudication (21% of cases), we determined the case status using a computer case definition, derived from cases with completed adjudication. The positive predictive value of the computerized case definition for serious cardiovascular events was 91% (Section 5 in the Supplementary Appendix).
Study Oversight
The study was approved by the institutional review board at each of the participating institutions and by the Food and Drug Administration (FDA) Research in Human Subjects Committee. In addition, permission was obtained from the data sources for each site. In all cases the need for informed consent was waived. The study was planned by the authors. Data were gathered from each site and analyzed by the study biostatistician, who vouches for the data and the analysis along with the first author.
Statistical Analysis
We calculated the hazard ratio for users of ADHD drugs, as compared with nonusers, using Cox regression models with robust sandwich variance estimators to account for the matched study design and for persons entering the cohort multiple times.22 The hazard ratio was adjusted for both baseline characteristics and changes in characteristics that occurred during follow-up. We calculated the adjusted incidence of end points by multiplying the incidence rate in the nonusers by the hazard ratio.
Because the number of covariates that reflected baseline cohort characteristics was large in comparison to the number of end points, we adjusted for these covariates by including a site-specific propensity score in the regression models. The propensity score was defined as the probability that the patient was currently receiving an ADHD drug on the first day of study follow-up, estimated for each site by means of logistic regression.23 The baseline variables in the propensity score included sociodemographic characteristics as well as information on medical care encounters consistent with psychiatric disorders, asthma and other respiratory illnesses, seizure and other neurologic disorders, unintentional injuries, cardiovascular diseases, and other diseases. For each site, we tested the adequacy of the propensity-score models by calculating the propensity-score adjusted means of baseline variables for users and nonusers of ADHD drugs; these values were similar (Section 6 in the Supplementary Appendix).
In our primary analysis, we adjusted for study site, propensity-score decile, and several time-dependent covariates (medical and psychiatric conditions, health care utilization, age, and calendar year) (Section 7 in the Supplementary Appendix). In order to test key study assumptions, we performed additional analyses that were stratified according to age group (2 to 17 years and 18 to 24 years) and that used alternative exposure groups, cohort inclusion criteria, and end-point exclusions. We performed all statistical analyses using SAS software, version 9.1 (SAS Institute).
Results
Study Population
The study cohort included 1,200,438 children and young adults. The mean age of cohort members at baseline was 11.1 years (mean range at the study sites, 8.7 to 12.0) (Table 1Table 1Study Cohorts, According to Site.). The mean length of follow-up for the cohort was 2.1 years (mean range at the study sites, 1.5 to 3.9) for a total follow-up of 2,579,104 person-years. The characteristics of current users and nonusers at baseline are shown in Table 2Table 2Characteristics of Cohort Members, According to the Use of ADHD Drugs at Baseline.. Generally, current users had more evidence of health care utilization of all types. In addition, they had greater prevalence of psychiatric illnesses and greater use of psychotropic medications. Current users were also more likely to have asthma, seizures, and congenital heart defects. For both current users and nonusers, alcohol and drug use, as determined from records of medical care encounters, were uncommon.
Study End Points
A total of 81 cohort members had a serious cardiovascular event, or 3.1 per 100,000 person-years, including 33 sudden cardiac deaths (1.3 per 100,000 person-years), 9 acute myocardial infarctions (0.3 per 100,000 person-years), and 39 strokes (1.5 per 100,000 person-years). Characteristics of the confirmed cases according to exposure to an ADHD drug are shown in Section 8 in the Supplementary Appendix. In the multivariate model, an older age, current use of an antipsychotic drug, a major psychiatric illness, a serious cardiovascular condition, and chronic illness were associated with an increased risk of serious cardiovascular events (Section 7 in the Supplementary Appendix).
There were 7 confirmed events among 373,667 person-years of follow-up for current users, 25 confirmed events among 607,475 person-years of follow-up for former users, and 49 confirmed events among 1,597,962 person-years of follow-up for nonusers. As compared with the nonusers, the adjusted rate of serious cardiovascular events did not differ significantly among current users of ADHD drugs (hazard ratio, 0.75; 95% confidence interval [CI], 0.31 to 1.85) or among former users (hazard ratio, 1.03; 95% CI, 0.57 to 1.89) (Figure 1Figure 1Adjusted Rates of Serious Cardiovascular Events, According to the Use of ADHD Drugs.). When former users served as the reference group (in which the possible effect of unmeasured confounding was assessed), there was no increased risk of serious cardiovascular events among current users (hazard ratio, 0.70; 95% CI, 0.29 to 1.72) (Section 9 in the Supplementary Appendix). There was also no evidence of increased risk for the individual end points of sudden cardiac death, acute myocardial infarction, or stroke (Table 3Table 3Adjusted Hazard Ratios for Individual Cardiovascular End Points, According to the Use of ADHD Drugs.). We found no evidence of increased risk for methylphenidate (hazard ratio, 0.96; 95% CI, 0.31 to 2.97), the most frequently used ADHD drug (Section 10 in the Supplementary Appendix). Data were too sparse for other individual drugs to fit regression models.
Alternative Analyses
We performed several alternative analyses to test the robustness of study findings (Table 4Table 4Alternative Analyses with Adjusted Hazard Ratios for Serious Cardiovascular Events, According to the Use of ADHD Drugs., and Section 11 in the Supplementary Appendix). To assess for possible bias from the inclusion of persons who used ADHD drugs before the beginning of follow-up,10 we restricted current users of ADHD drugs only to new users (which was defined as no use of ADHD drugs during the 365 days preceding the first day of qualifying use). Findings were essentially identical to those of the primary analysis (hazard ratio, 0.73; 95% CI, 0.24 to 2.10). When we included seven patients who had been excluded from the primary analysis because they had evidence of severe underlying cardiac disease for which sudden cardiac death would not be unexpected, we found no increased risk for current users (hazard ratio, 0.71; 95% CI, 0.29 to 1.72). In analyses that included only children 2 to 17 years of age, we found no association between the use of ADHD drugs and serious cardiovascular events (hazard ratio, 0.98; 95% CI, 0.41 to 2.36). When children with evidence of serious psychiatric disease were excluded, we also found no significant association (hazard ratio, 0.66; 95% CI, 0.20 to 2.16).
We also performed analyses to test other key study assumptions. A site-specific analysis suggested a potential difference between Medicaid and non-Medicaid sites, although numbers were very small and we saw no evidence of significant heterogeneity in pooled analyses of rate differences between users and nonusers (Section 12 in the Supplementary Appendix). Another analysis expanded the definition of current use to include the 89 days after the end of current use to account for a possible misclassification in exposure related to the clinical use of ADHD drugs or for drugs that were discontinued after prodromal symptoms of an end point (e.g., headache preceding stroke). Finally, we performed an analysis in which time-dependent variables were fixed at baseline. The findings of these analyses were essentially identical to those reported here.
Discussion
Several regulatory and policy decisions resulted from the review of adverse-event reports of serious cardiovascular events associated with the use of ADHD drugs in Canada and the United States. In Canada, Health Canada removed and then reinstated marketing of extended-release mixed amphetamine salts.6,7 In the United States, three different FDA advisory committees considered the issue and recommended a black-box warning for stimulants, as well as a medication guide for patients.24 In a controversial policy statement, the American Heart Association stated that obtaining electrocardiograms in children who were initiating ADHD stimulant therapy was "reasonable,"25 a recommendation that was subsequently revised on the basis of input from several pediatric organizations.24 This led to concern and confusion among health care providers, patients, and families about the risks of these drugs.26 In this context, we studied the cardiovascular safety of ADHD drugs in more than 1.2 million children and young adults from four geographically diverse health plans with more than 2.5 million person-years of follow-up. The point estimate of the relative risk provided no evidence that the use of ADHD drugs increased the risk of serious cardiovascular events, although the upper limit of the 95% confidence interval was consistent with up to a doubling in the risk.
In the study population, which excluded children with possibly life-threatening illness, the incidence of serious cardiovascular events was 3.1 per 100,000 person-years, a finding that was consistent with other studies.27-30 The low number of events limited the statistical power of the study, particularly for individual end points and individual drugs, as well as for subgroups that might be particularly vulnerable to the effects of ADHD drugs. We also had limited information for longer durations of use.
Could the study findings be the result of confounding? The comparison between current users and nonusers at baseline indicated a greater incidence of medical and psychiatric coexisting conditions among current users. The analyses were adjusted for an extensive set of cardiovascular disease variables, which were included in site-specific propensity scores. Using this method, we could account for many important risk factors for cardiovascular disease. However, differences in factors that we were unable to measure, such as adherence to a drug regimen, differential prescribing of ADHD drugs to children at lower risk for a study outcome, or illicit use of medications resulting in misclassification, may have affected the results.31,32
We performed several alternative analyses to test the robustness of our findings. We used former users as the reference group, which could address many of the issues related to comparability between current users and nonusers. We performed an analysis restricted to new users to address bias that would be introduced from the inclusion of prevalent users in the cohort.10 Another analysis included patients who had been excluded from the primary analysis because of preexisting severe cardiac disease for which sudden cardiac death would not be unexpected. We also performed analyses stratified according to age. The findings from these additional analyses were essentially identical to our primary analysis.
Our findings that the use of ADHD drugs was not associated with an increased risk of serious cardiovascular events in children and young adults are consistent with the results of several reports33-36 that have appeared since the FDA safety review of adverse-event data for ADHD drugs,6,7 although our results differed from the findings of another report.37 Our study included nearly twice the person-time of the combined person-time in four recent cohort studies and included several provisions to ensure accurate case ascertainment, including a review of medical records and autopsies.
In conclusion, in our study involving children and young adults with 2.5 million person-years of follow-up, there were 3.1 serious cardiovascular events per 100,000 person-years. Although the point estimates of the relative risks for ADHD drugs did not indicate increased risk, the upper limit of the 95% confidence interval suggested that a doubling in the risk could not be ruled out. However, the absolute magnitude of any increased risk would be low.
Supported by contracts (HHSA290-2005-0042, to Vanderbilt University; and HHSA290-2005-0033, to Harvard Pilgrim Health Care Institute) from the Agency for Healthcare Research and Quality, Department of Health and Human Services, as part of the Developing Evidence to Inform Decisions about Effectiveness program; and by contracts (223-2005-10100C, to Vanderbilt University; 223-2005-10012, to Kaiser Permanente Northern California; 223-2005-10006C, to OptumInsight Epidemiology; and 223-2005-10012C, to Harvard Pilgrim Health Care Institute) from the FDA.
Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.
This article (10.1056/NEJMoa1110212) was published on November 1, 2011, at NEJM.org.
We thank the TennCare Bureau, Tennessee Department of Health, Washington State Health and Recovery Services Administration, Kaiser Permanente California (Northern and Southern regions), and OptumInsight Epidemiology for providing data needed to conduct the study; Patricia A. Gideon, Michelle DeRanieri, Leanne Balmer, Shannon D. Stratton, James R. Daugherty, Judith A. Dudley, Lynne Caples, Tracy Crowley, Ning Chen, and Eli Poe of Vanderbilt University School of Medicine; Sherry Quinn, Eva Ng, and Clorinda Hoffman of OptumInsight Epidemiology; Connie Uratsu and Ninah Achacoso of Kaiser Permanente Northern California; Chantal Avila and Yan Luo of Kaiser Permanente Southern California; and Li Zheng of the University of Washington.
Source Information
From the Divisions of General Pediatrics (W.O.C.), Adolescent Medicine (S.T.C.), and Pediatric Cardiology (F.A.F.), Department of Pediatrics; the Department of Biostatistics (P.G.A.); the Division of Pharmacoepidemiology, Department of Preventive Medicine (W.O.C., W.A.R.); the Divisions of Cardiology (K.T.M.), Rheumatology (C.M. Stein), and Clinical Pharmacology (K.T.M., C.M. Stein), Department of Medicine; and the Stroke Division, Department of Neurology (H.S.K., A.O.) — all at Vanderbilt University, Nashville; the Division of Research, Kaiser Permanente Northern California, Oakland (L.A.H., B.H.F.); the Department of Population Medicine, Harvard Pilgrim Health Care, Harvard Medical School, and the Department of Pediatrics, Boston University School of Medicine — all in Boston (C.M. Sox); OptumInsight Epidemiology, Waltham, MA (K.A.C.); Pharmacy Analytical Service (T.C.C.) and the Research and Evaluation Department (V.P.Q.), Kaiser Permanente Southern California, Pasadena; and the School of Public Health, University of Washington, Seattle (F.A.C.).
Address reprint requests to Dr. Cooper at Suite 313, Oxford House, 1313 21st Ave. S., Nashville, TN 37232-4313, or at william.cooper@vanderbilt.edu.
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References
-
1
Increasing prevalence of parent-reported attention-deficit/hyperactivity disorder among children -- United States, 2003 and 2007. MMWR Morb Mortal Wkly Rep 2010;59:1439-1443
Medline -
2
Brown RT, Amler RW, Freeman WS, et al. Treatment of attention-deficit/hyperactivity disorder: overview of the evidence. Pediatrics 2005;115:e749-e757
CrossRef | Web of Science | Medline -
3
Buck ML. Methylphenidate: new information and new options. Pediatric pharmacotherapy. Vol. 8. No. 2. Charlottesville: University of Virginia, February 2002:1-4.
-
4
Elia J, Ambrosini PJ, Rapoport JL. Treatment of attention-deficit-hyperactivity disorder. N Engl J Med 1999;340:780-788
Full Text | Web of Science | Medline -
5
Rappley MD. Attention deficit-hyperactivity disorder. N Engl J Med 2005;352:165-173
Full Text | Web of Science | Medline -
6
Food and Drug Administration. Drug Safety and Risk Management Advisory Committee Meeting, February 9 and 10, 2006 (http://www.fda.gov/ohrms/dockets/ac/06/briefing/2006-4202_00_TOC.htm).
-
7
Nissen SE. ADHD drugs and cardiovascular risk. N Engl J Med 2006;354:1445-1448
Full Text | Web of Science | Medline -
8
Johnson RE, Vollmer WM. Comparing sources of drug data about the elderly. J Am Geriatr Soc 1991;39:1079-1084
Web of Science | Medline -
9
Ray WA, Griffin MR. Use of Medicaid data for pharmacoepidemiology. Am J Epidemiol 1989;129:837-849
Web of Science | Medline -
10
Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol 2003;158:915-920
CrossRef | Web of Science | Medline -
11
West SL, Savitz DA, Koch G, Strom BL, Guess HA, Hartzema A. Recall accuracy for prescription medications: self-report compared with database information. Am J Epidemiol 1995;142:1103-1112
Web of Science | Medline -
12
Marcus FI, Cobb LA, Edwards JE, et al. Mechanism of death and prevalence of myocardial ischemic symptoms in the terminal event after acute myocardial infarction. Am J Cardiol 1988;61:8-15
CrossRef | Web of Science | Medline -
13
Hinkle LE Jr, Thaler HT. Clinical classification of cardiac deaths. Circulation 1982;65:457-464
CrossRef | Web of Science | Medline -
14
Siscovick DS, Raghunathan TE, Psaty BM, et al. Diuretic therapy for hypertension and the risk of primary cardiac arrest. N Engl J Med 1994;330:1852-1857
Full Text | Web of Science | Medline -
15
Albert CM, Hennekens CH, O'Donnell CJ, et al. Fish consumption and risk of sudden cardiac death. JAMA 1998;279:23-28
CrossRef | Web of Science | Medline -
16
Epstein AE, Carlson MD, Fogoros RN, Higgins SL, Venditti FJ Jr. Classification of death in antiarrhythmia trials. J Am Coll Cardiol 1996;27:433-442
CrossRef | Web of Science | Medline -
17
Gillum RF, Fortmann SP, Prineas RJ, Kottke TE. International diagnostic criteria for acute myocardial infarction and acute stroke. Am Heart J 1984;108:150-158
CrossRef | Web of Science | Medline -
18
Antman EM, Anbe DT, Armstrong PW, et al. ACC/AHA guidelines for the management of patients with ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (committee to revise the 1999 guidelines for the management of patients with acute myocardial infarction). J Am Coll Cardiol 2004;44:e1-e211
CrossRef | Medline -
19
Mahaffey KW, Roe MT, Kilaru R, et al. Characterization of myocardial infarction as an end point in two large trials of acute coronary syndromes. Am J Cardiol 2005;95:1404-1408
CrossRef | Web of Science | Medline -
20
Hylek EM, Go AS, Chang Y, et al. Effect of intensity of oral anticoagulation on stroke severity and mortality in atrial fibrillation. N Engl J Med 2003;349:1019-1026
Full Text | Web of Science | Medline -
21
Liu L, Reeder B, Shuaib A, Mazagri R. Validity of stroke diagnosis on hospital discharge records in Saskatchewan, Canada: implications for stroke surveillance. Cerebrovasc Dis 1999;9:224-230
CrossRef | Web of Science | Medline -
22
Ray WA, Murray KT, Griffin MR, et al. Outcomes with concurrent use of clopidogrel and proton-pump inhibitors: a cohort study. Ann Intern Med 2010;152:337-345
Medline -
23
Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983;70:41-55
CrossRef | Web of Science -
24
Perrin JM, Friedman RA, Knilans TK. Cardiovascular monitoring and stimulant drugs for attention-deficit/hyperactivity disorder. Pediatrics 2008;122:451-453
CrossRef | Web of Science | Medline -
25
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[Erratum, Circulation 2009;120(7):e55-e59.]
CrossRef | Web of Science | Medline -
26
Wilens TE, Prince JB, Spencer TJ, Biederman J. Stimulants and sudden death: what is a physician to do? Pediatrics 2006;118:1215-1219
CrossRef | Web of Science | Medline -
27
Liberthson RR. Sudden death from cardiac causes in children and young adults. N Engl J Med 1996;334:1039-1044
Full Text | Web of Science | Medline -
28
Mahle WT, Campbell RM, Favaloro-Sabatier J. Myocardial infarction in adolescents. J Pediatr 2007;151:150-154
CrossRef | Web of Science | Medline -
29
Schoenberg BS, Mellinger JF, Schoenberg DG. Cerebrovascular disease in infants and children: a study of incidence, clinical features, and survival. Neurology 1978;28:763-768
Web of Science | Medline -
30
Broderick J, Talbot GT, Prenger E, Leach A, Brott T. Stroke in children within a major metropolitan area: the surprising importance of intracerebral hemorrhage. J Child Neurol 1993;8:250-255
CrossRef | Web of Science | Medline -
31
Granger BB, Swedberg K, Ekman I, et al. Adherence to candesartan and placebo and outcomes in chronic heart failure in the CHARM programme: double-blind, randomised, controlled clinical trial. Lancet 2005;366:2005-2011
CrossRef | Web of Science | Medline -
32
Wilens TE, Adler LA, Adams J, et al. Misuse and diversion of stimulants prescribed for ADHD: a systematic review of the literature. J Am Acad Child Adolesc Psychiatry 2008;47:21-31
CrossRef | Web of Science | Medline -
33
Schelleman H, Bilker WB, Strom BL, et al. Cardiovascular events and death in children exposed and unexposed to ADHD agents. Pediatrics 2011;127:1102-1110
CrossRef | Medline -
34
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
CrossRef | Web of Science | Medline -
35
Winterstein AG, Gerhard T, Shuster J, Saidi A. Cardiac safety of methylphenidate versus amphetamine salts in the treatment of ADHD. Pediatrics 2009;124:e75-e80
CrossRef | Web of Science | Medline -
36
McCarthy S, Cranswick N, Potts L, Taylor E, Wong IC. 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 Saf 2009;32:1089-1096
CrossRef | Web of Science | Medline -
37
Gould MS, Walsh BT, Munfakh JL, et al. Sudden death and use of stimulant medications in youths. Am J Psychiatry 2009;166:992-1001
CrossRef | Web of Science | Medline
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