Methylphenidate and short-term cardiovascular risk
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Importance: There are concerns about the safety of medications for treatment of attention-deficit/hyperactivity disorder (ADHD), with mixed evidence on possible cardiovascular risk. Objective: To assess whether short-term methylphenidate use is associated with risk of cardiovascular events. Design, Setting, and Participants: This retrospective, population-based cohort study was based on national Swedish registry data. Participants were individuals with ADHD aged 12 to 60 years with dispensed prescriptions of methylphenidate between January 1, 2007, and June 30, 2012. Each person receiving methylphenidate (n = 26 710) was matched on birth date, sex, and county to up to 10 nonusers without ADHD (n = 225 672). Statistical analyses were performed from September 13, 2022, to May 16, 2023. Main Outcomes and Measures: Rates of cardiovascular events, including ischemic heart disease, venous thromboembolism, heart failure, or tachyarrhythmias, 1 year before methylphenidate treatment and 6 months after treatment initiation were compared between individuals receiving methylphenidate and matched controls using a bayesian within-individual design. Analyses were stratified by history of cardiovascular events. Results: The cohort included 252 382 individuals (15 442 [57.8% men]; median age, 20 (IQR, 15-31) years). The overall incidence of cardiovascular events was 1.51 per 10 000 person-weeks (95% highest density interval [HDI], 1.35-1.69) for individuals receiving methylphenidate and 0.77 (95% HDI, 0.73-0.82) for the matched controls. Individuals treated with methylphenidate had an 87% posterior probability of having a higher rate of cardiovascular events after treatment initiation (incidence rate ratio [IRR], 1.41; 95% HDI, 1.09-1.88) compared with matched controls (IRR, 1.18; 95% HDI, 1.02-1.37). The posterior probabilities were 70% for at least a 10% increased risk of cardiovascular events in individuals receiving methylphenidate vs 49% in matched controls. No difference was found in this risk between individuals with and without a history of cardiovascular disease (IRR, 1.11; 95% HDI, 0.58-2.13). Conclusions and Relevance: In this cohort study, individuals receiving methylphenidate had a small increased cardiovascular risk vs matched controls in the 6 months after treatment initiation. However, there was little evidence for an increased risk of 20% or higher and for differences in risk increase between people with and without a history of cardiovascular disease. Therefore, before treatment initiation, careful consideration of the risk-benefit trade-off of methylphenidate would be useful, regardless of cardiovascular history.
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The increased risk of treatment discontinuation among children might be attributed to heightened concerns about medication side-effects in paediatric populations, which could make clinicians and parents more cautious about treatment.
“The increased risk of treatment discontinuation among children might be attributed to several factors. First, there are heightened concerns about medication side-effects16 in paediatric populations, which could make clinicians and parents more cautious about treatment.”
From Evaluating ADHD medication trial representativeness: a Swedish population-based study comparing hypothetically trial-eligible and trial-ineligible individuals (2025) · cites this paper as [16]
The Introduction (page unavailable) describes ongoing debate about methylphenidate safety and evidence of cardiovascular adverse effects, supporting the general concern about side effects. It does not establish that concerns are heightened in paediatric populations or that they make clinicians and parents more cautious. The Strengths and Limitations section (page unavailable) says the study had no information on adherence, so it cannot explain treatment discontinuation. (LLM, conf=0.84)
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Advanced Bayesian Multilevel Modeling with the R Package brms
Bürkner, P.-C. (2018) · The R Journal · doi:10.32614/rj-2018-017 · Cited by 3,015 · see citing works
Self-citationPolanczyk, G. V., Willcutt, E. G., Salum, G. A., Kieling, C., & Rohde, L. A. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt261 · Cited by 1,822 · see citing works
Faraone, S. V., Banaschewski, T., Coghill, D., Zheng, Y., Biederman, J., Bellgrove, M. A., Newcorn, J. H., Gignac, M., Al Saud, N. M., Manor, I., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.022 · Cited by 1,545 · see citing works
Self-citationCortese, S., Adamo, N., Del Giovane, C., Mohr-Jensen, C., Hayes, A. J., Carucci, S., Atkinson, L. Z., Tessari, L., Banaschewski, T., Coghill, D., et al. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30269-4 · Cited by 1,402 · see citing works
Self-citationBIEDERMAN, J., MONUTEAUX, M. C., MICK, E., SPENCER, T., WILENS, T. E., SILVA, J. M., SNYDER, L. E., & FARAONE, S. V. (2006) · Psychological Medicine · doi:10.1017/s0033291705006410 · Cited by 850 · see citing works
Berridge, C. W., Devilbiss, D. M., Andrzejewski, M. E., Arnsten, A. F. T., Kelley, A. E., Schmeichel, B., Hamilton, C., & Spencer, R. C. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.04.022 · Cited by 617 · see citing works
When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment
Szucs, D., & Ioannidis, J. P. A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00390 · Cited by 298 · see citing works
ADHD Medications and Risk of Serious Cardiovascular Events in Young and Middle-aged Adults
Habel, L. A., Cooper, W. O., Sox, C. M., Chan, K. A., Fireman, B. H., Arbogast, P. G., Cheetham, T. C., Quinn, V. P., Dublin, S., Boudreau, D. M., et al. (2011) · JAMA · doi:10.1001/jama.2011.1830 · Cited by 297 · see citing works
Adrenergic receptors and cardiovascular effects of catecholamines
Motiejunaite, J., Amar, L., & Vidal-Petiot, E. (2021) · Annales d'Endocrinologie · doi:10.1016/j.ando.2020.03.012 · Cited by 296 · see citing works
McCarthy, S., Cranswick, N., Potts, L., Taylor, E., & Wong, I. C. K. (2009) · Drug Safety · doi:10.2165/11317630-000000000-00000 · Cited by 128 · see citing works
Dalsgaard, S., Kvist, A. P., Leckman, J. F., Nielsen, H. S., & Simonsen, M. (2014) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2014.0020 · Cited by 121 · see citing works
Winterstein, A. G., Gerhard, T., Shuster, J., Johnson, M., Zito, J. M., & Saidi, A. (2007) · Pediatrics · doi:10.1542/peds.2007-0675 · Cited by 119 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- [3]Garcia-Argibay M, du Rietz E, Lu Y,. The role of ADHD genetic risk in mid-to-late life somatic health conditions. Transl Psychiatry. 2022; 12(1): 152. doi: 10.1038/s41398-022-01919-9 35399118 PMC8995388 · DOI
- [4]Li L, Yao H, Zhang L,. Attention-deficit/hyperactivity disorder is associated with increased risk of cardiovascular diseases: a systematic review and meta-analysis. JCPP Adv. 2023; 3(3): e12158. doi: 10.1002/jcv2.12158 37720588 PMC10501695 · DOI · Paper page
- [5]Garcia-Argibay M, Du Rietz E, Hartman CA,. Cardiovascular risk factors in attention-deficit/hyperactivity disorder: a family design study of Swedish conscripts. Int J Methods Psychiatr Res. 2022; 31(4): e1930. doi: 10.1002/mpr.1930 35765813 PMC9720218 · DOI · Paper page
- [6]Dobrosavljevic M, Zhang L, Garcia-Argibay M,. Attention-deficit/hyperactivity disorder as a risk factor for dementia and mild cognitive impairment: a population-based register study. Eur Psychiatry. 2021; 65(1): 1- 19. 34924079 PMC8792867
- [7]Garcia-Argibay M, Li L, Du Rietz E,. The association between type 2 diabetes and attention- deficit/hyperactivity disorder: a systematic review, meta-analysis, and population-based sibling study. Neurosci Biobehav Rev. 2023; 147: 105076. doi: 10.1016/j.neubiorev.2023.105076 36754221 · DOI · Paper page
- [9]Garcia-Argibay M, Pandya E, Ahnemark E,. Healthcare utilization and costs of psychiatric and somatic comorbidities associated with newly diagnosed adult ADHD. Acta Psychiatr Scand. 2021; 144(1): 50- 59. doi: 10.1111/acps.13297 33749845 · DOI
- [11]Hennissen L, Bakker MJ, Banaschewski T,; ADDUCE consortium. Cardiovascular effects of stimulant and non-stimulant medication for children and adolescents with ADHD: a systematic review and meta-analysis of trials of methylphenidate, amphetamines and atomoxetine. CNS Drugs. 2017; 31(3): 199- 215. doi: 10.1007/s40263-017-0410-7 28236285 PMC5336546 · DOI
- [12]Mick E, McManus DD, Goldberg RJ. Meta-analysis of increased heart rate and blood pressure associated with CNS stimulant treatment of ADHD in adults. Eur Neuropsychopharmacol. 2013; 23(6): 534- 541. doi: 10.1016/j.euroneuro.2012.06.011 22796229 PMC3488604 · DOI
- [14]Schelleman H, Bilker WB, Kimmel SE,. Methylphenidate and risk of serious cardiovascular events in adults. Am J Psychiatry. 2012; 169(2): 178- 185. doi: 10.1176/appi.ajp.2011.11010125 22318795 · DOI
- [16]Shin JY, Roughead EE, Park BJ, Pratt NL. Cardiovascular safety of methylphenidate among children and young people with attention-deficit/hyperactivity disorder (ADHD): nationwide self controlled case series study. BMJ. 2016; 353: i2550. doi: 10.1136/bmj.i2550 27245699 PMC4887614 · DOI · Paper page
- [17]Eroglu TE, Halili A, Arulmurugananthavadivel A,. Use of methylphenidate is associated with increased risk of out-of-hospital cardiac arrest in the general population: a nationwide nested case-control study. Eur Heart J Cardiovasc Pharmacother. 2023; 9(7): 658- 665. doi: 10.1093/ehjcvp/pvad028 37070942 · DOI
- [18]Zhang L, Li L, Andell P,. Attention-deficit/hyperactivity disorder medications and long-term risk of cardiovascular diseases. JAMA Psychiatry. Published online November 22, 2023. doi: 10.1001/jamapsychiatry.2023.4294 37991787 PMC10851097 · DOI
- [19]Schelleman H, Bilker WB, Strom BL,. Cardiovascular events and death in children exposed and unexposed to ADHD agents. Pediatrics. 2011; 127(6): 1102- 1110. doi: 10.1542/peds.2010-3371 21576311 PMC3387871 · DOI · Paper page
- [20]Cooper WO, Habel LA, Sox CM,. ADHD drugs and serious cardiovascular events in children and young adults. N Engl J Med. 2011; 365(20): 1896- 1904. doi: 10.1056/NEJMoa1110212 22043968 PMC4943074 · DOI · Paper page
- [21]Winterstein AG, Gerhard T, Kubilis P,. Cardiovascular safety of central nervous system stimulants in children and adolescents: population based cohort study. BMJ. 2012; 345: e4627. doi: 10.1136/bmj.e4627 22809800 PMC3399772 · DOI
- [24]Zhang L, Yao H, Li L,. Risk of cardiovascular diseases associated with medications used in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. JAMA Netw Open. 2022; 5(11): e2243597. doi: 10.1001/jamanetworkopen.2022.43597 36416824 PMC9685490 · DOI
- [25]Marden JI. Hypothesis testing: from P values to Bayes factors. J Am Stat Assoc. 2000; 95(452): 1316. doi: 10.2307/2669779 · DOI
- [27]Quintana DS, Williams DR. Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP. BMC Psychiatry. 2018; 18(1): 178. doi: 10.1186/s12888-018-1761-4 29879931 PMC5991426 · DOI
- [28]Wagenmakers EJ, Marsman M, Jamil T,. Bayesian inference for psychology. part I: theoretical advantages and practical ramifications. Psychon Bull Rev. 2018; 25(1): 35- 57. doi: 10.3758/s13423-017-1343-3 28779455 PMC5862936 · DOI
- [29]Dunson DB. Commentary: practical advantages of bayesian analysis of epidemiologic data. Am J Epidemiol. 2001; 153(12): 1222- 1226. doi: 10.1093/aje/153.12.1222 11415958 · DOI
- [30]McElreath R. Statistical Rethinking: A Bayesian Course With Examples in R and Stan. Chapman & Hall/CRC; 2018. doi: 10.1201/9781315372495 · DOI · Paper page
- [31]von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007; 147(8): 573- 577. doi: 10.7326/0003-4819-147-8-200710160-00010 17938396 · DOI · Paper page
- [32]Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009; 24(11): 659- 667. doi: 10.1007/s10654-009-9350-y 19504049 PMC2773709 · DOI
- [33]Hollis C, Chen Q, Chang Z,. Methylphenidate and the risk of psychosis in adolescents and young adults: a population-based cohort study. Lancet Psychiatry. 2019; 6(8): 651- 658. doi: 10.1016/S2215-0366(19)30189-0 31221557 PMC6646837 · DOI · Paper page
- [34]Carpenter B, Gelman A, Hoffman MD,. Stan: a probabilistic programming language. J Stat Softw. 2017; 76(1): 1. doi: 10.18637/jss.v076.i01 36568334 PMC9788645 · DOI · Paper page
- [39]Adlan AM, Paton JFR, Lip GYH, Kitas GD, Fisher JP. Increased sympathetic nerve activity and reduced cardiac baroreflex sensitivity in rheumatoid arthritis. J Physiol. 2017; 595(3): 967- 981. doi: 10.1113/JP272944 27561790 PMC5285627 · DOI
- [40]Ludvigsson JF, Andersson E, Ekbom A,. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011; 11(1): 450. doi: 10.1186/1471-2458-11-450 21658213 PMC3142234 · DOI · Paper page
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Garcia-Argibay, M., Chang, Z., Brikell, I., Kuja-Halkola, R., D'Onofrio, B. M., Lichtenstein, P., Newcorn, J. H., Faraone, S. V., Larsson, H., & Cortese, S. (2025) · The Lancet Psychiatry · doi:10.1016/s2215-0366(24)00396-1 · Cited by 31 · see citing works
Self-citation
- Authors
- Garcia-Argibay, M., Bürkner, P.-C., Lichtenstein, P., Zhang, L., D’Onofrio, B. M., Andell, P., Chang, Z., Cortese, S., & Larsson, H.
- Affiliations
- School of Medical Sciences, Örebro University, Faculty of Medicine and Health, Örebro, Sweden
- University of Stuttgart (DE)
- Karolinska Institutet (SE)
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital (SE)
- Solent NHS Trust (GB)
- Örebro University (SE)
- ORCID
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2024-03-06
- Volume
- 7
- Issue
- 3
- Pages
- e241349
- ISSN
- 2574-3805 (ISSN-L)
- PMC
- PMC10918505
- OpenAlex
- W4392520098
- Cited by
- 31
- References
- 12
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 9
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Funders
- European Commission
- Vetenskapsrådet (2018-02599)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
- Keywords
- methylphenidate, attention deficit hyperactivity disorder, cardiovascular risk, cardiovascular events, ischemic heart disease, venous thromboembolism, heart failure, tachyarrhythmias, drug safety, stimulant medication, incidence rate ratio, posterior probability, cardiovascular comorbidity, cardiovascular risk factors
- MeSH terms
- Heart Disease Risk Factors, Adult, Bayes Theorem, Cardiovascular Diseases, Female, Humans, Male, Methylphenidate, Retrospective Studies, Risk Factors, Cohort Studies, Young Adult
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