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Risk prediction model for cardiovascular diseases in adults initiating pharmacological treatment for attention-deficit/hyperactivity disorder
Örebro University, School of Medical Sciences.ORCID iD: 0000-0002-3887-9669
Department of Psychiatry, University of Oxford, Oxford, UK.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Örebro University, School of Medical Sciences. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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2022 (English)In: Evidence-Based Mental Health, ISSN 1362-0347, E-ISSN 1468-960X, Vol. 25, p. 185-190Article in journal (Refereed) Published
Abstract [en]

Background: Available prediction models ofcardiovascular diseases (CVDs) may not accuratelypredict outcomes among individuals initiatingpharmacological treatment for attention-deficit/hyperactivity disorder (ADHD).

Objective: To improve the predictive accuracyof traditional CVD risk factors for adults initiatingpharmacological treatment of ADHD, by consideringnovel CVD risk factors associated with ADHD (comorbidpsychiatric disorders, sociodemographic factors andpsychotropic medication).

Methods: The cohort composed of 24 186 adultsresiding in Sweden without previous CVDs, born between1932 and 1990, who started pharmacological treatmentof ADHD between 2008 and 2011, and were followedfor up to 2 years. CVDs were identified using diagnosesaccording to the International Classification of Diseases,and dispended medication prescriptions from Swedishnational registers. Cox proportional hazards regressionwas employed to derive the prediction model.

Findings: The developed model included eighttraditional and four novel CVD risk factors. Themodel showed acceptable overall discrimination (Cindex=0.72, 95% CI 0.70 to 0.74) and calibration(Brier score=0.008). The Integrated DiscriminationImprovement index showed a significant improvementafter adding novel risk factors (0.003 (95% CI 0.001 to0.007), p<0.001).

Conclusions: The inclusion of the novel CVD riskfactors may provide a better prediction of CVDs in thispopulation compared with traditional CVD predictorsonly, when the model is used with a continuous riskscore. External validation studies and studies assessingclinical impact of the model are warranted.

Clinical implications: Individuals initiatingpharmacological treatment of ADHD at higher risk ofdeveloping CVDs should be more closely monitored.

Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2022. Vol. 25, p. 185-190
Keywords [en]
Adult psychiatry
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:oru:diva-101147DOI: 10.1136/ebmental-2022-300492ISI: 000850850400001PubMedID: 36396339Scopus ID: 2-s2.0-85137784816OAI: oai:DiVA.org:oru-101147DiVA, id: diva2:1694011
Funder
Swedish Research Council, 2018-02599European Commission, 965381Karolinska Institute, Not applicableThe Swedish Brain Foundation, FO2021-0115Wellcome trust, 202836/Z/16/ZSwedish Society for Medical Research (SSMF), PD20-0036Swedish Research Council, 2018-02599European Commission, 965381Karolinska Institute, Not applicableThe Swedish Brain Foundation, FO2021-0115Wellcome trust, 202836/Z/16/ZSwedish Society for Medical Research (SSMF), PD20-0036EU, Horizon 2020, 754285Available from: 2022-09-08 Created: 2022-09-08 Last updated: 2023-08-18Bibliographically approved
In thesis
1. Attention-Deficit/Hyperactivity Disorder (ADHD) Beyond the Young Age: Investigation of the Prevalence of ADHD in Older Adults and the Risk of Age-related Disorders
Open this publication in new window or tab >>Attention-Deficit/Hyperactivity Disorder (ADHD) Beyond the Young Age: Investigation of the Prevalence of ADHD in Older Adults and the Risk of Age-related Disorders
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by impairing levels of inattention and/or hyperactivity-impulsivity. Symptoms of ADHD, which typically emerge in childhood, may persist until older age with a substantial adverse impact on health and functionality. Yet there is a notable knowledge gap in research on ADHD in older age and the potential associations of adult ADHD with disorders that are common in older age (i.e., age-related disorders). Thus, this thesis aimed to investigate the prevalence rates of ADHD in older age and whether ADHD in adulthood is associated with an increased risk of age-related disorders. 

Study I, a systematic review and meta-analysis, suggests that a considerable number of older adults report elevated levels of ADHD symptoms, while the prevalence of treated ADHD is less than half of the prevalence of clinically diagnosed ADHD. In Studies II, III, and IV, we used data from Swedish population registers. We found that ADHD is associated with an increased risk of dementia and mild cognitive impairment (Study II), which substantially attenuates after controlling for psychiatric comorbidity. Further, ADHD symptoms in adulthood are associated with an increased risk of subsequent cardiometabolic disorders (Study III). The associations attenuate after controlling for educational attainment, psychiatric comorbidity, and lifestyle factors, and they are confounded by genetic factors. Finally, the prediction of cardiovascular risk in adults initiating pharmacological treatment for ADHD may improve by considering novel risk factors (i.e., psychiatric comorbidity and use of other psychotropic medications) in addition to traditional predictors (Study IV). 

Overall, the findings indicate that a substantial number of older adults have increased levels of ADHD symptoms and that ADHD in adults is associated with an increased risk of age-related disorders. Further longitudinal studies, based on both community samples and epidemiological data, are needed to explore the risk of age-related disorders in ADHD, and the underlying mechanisms, until a more advanced older age. 

Place, publisher, year, edition, pages
Örebro: Örebro University, 2023. p. 107
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 283
Keywords
ADHD, prevalence, comorbidity, functional impairments, older adults, age-related disorders, dementia, mild cognitive impairment, cardiometabolic disorders, prediction model
National Category
General Practice
Identifiers
urn:nbn:se:oru:diva-106015 (URN)9789175295121 (ISBN)9789175295138 (ISBN)
Public defence
2023-09-06, Örebro universitet, Campus USÖ, X-huset, hörsal X1, Södra Grev Rosengatan 32, Örebro, 09:00 (English)
Opponent
Supervisors
Available from: 2023-05-22 Created: 2023-05-22 Last updated: 2023-08-18Bibliographically approved

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Dobrosavljevic, MajaLi, LinJendle, JohanLarsson, Henrik

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