Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM On Twitter
  • JABFM On YouTube
  • JABFM On Facebook
Research ArticleOriginal Research

Are Amphetamines Associated with Adverse Cardiovascular Events Among Elderly Individuals?

James R. Latronica, Taylor J. Clegg, Wen-Jan Tuan and Curtis Bone
The Journal of the American Board of Family Medicine November 2021, 34 (6) 1074-1081; DOI: https://doi.org/10.3122/jabfm.2021.06.210228
James R. Latronica
the University of Pittsburgh School of Medicine, Department of Psychiatry; Department of Family Medicine, Pittsburgh, PA (JRL); Penn State Health Milton S. Hershey Medical Center, Hershey, PA, (TJC, WJT); Penn State Health Milton S. Hershey Medical Center, Department of Family and Community Medicine, Hershey, PA (CB).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Taylor J. Clegg
the University of Pittsburgh School of Medicine, Department of Psychiatry; Department of Family Medicine, Pittsburgh, PA (JRL); Penn State Health Milton S. Hershey Medical Center, Hershey, PA, (TJC, WJT); Penn State Health Milton S. Hershey Medical Center, Department of Family and Community Medicine, Hershey, PA (CB).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wen-Jan Tuan
the University of Pittsburgh School of Medicine, Department of Psychiatry; Department of Family Medicine, Pittsburgh, PA (JRL); Penn State Health Milton S. Hershey Medical Center, Hershey, PA, (TJC, WJT); Penn State Health Milton S. Hershey Medical Center, Department of Family and Community Medicine, Hershey, PA (CB).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Curtis Bone
the University of Pittsburgh School of Medicine, Department of Psychiatry; Department of Family Medicine, Pittsburgh, PA (JRL); Penn State Health Milton S. Hershey Medical Center, Hershey, PA, (TJC, WJT); Penn State Health Milton S. Hershey Medical Center, Department of Family and Community Medicine, Hershey, PA (CB).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1.

    Demographic and Health Characteristics Before and After Propensity Score Matching

    Before propensity score matchingAfter propensity score matching
    CharacteristicsAmphetamine (N = 4966)Non-Amphetamine (N = 8267)P valueAmphetamine (N = 4966)Non-Amphetamine (N = 4966)P value
    Age, mean ± SD69.6 ± 4.2570.1 ± 4.77< .00169.6 ± 4.2569.67 ± 4.39.42
    Female, n (%)3153 (63.5)5191 (62.8).423153 (63.5)3158 (63.6).69
    Race/ethnicity, n (%)
        White4450 (89.6)7351 (88.9).224450 (89.6)4512 (90.9).04
        Black110 (2.2)251 (3.0)<.01110 (2.2)87 (1.8).10
        Hispanic/Latino70 (1.4)159 (1.9).0370 (1.4)64 (1.3).60
        Not Hispanic/Latino3927 (79.1)6366 (77.0)<.013927 (79.1)3960 (79.7).41
    Body mass index, mean ± SD28.19 ± 5.8328.61 ± 6.08<.0128.19 ± 5.8328.54 ± 6.11.06
    Essential hypertension, n (%)2523 (50.8)4191 (50.7).902523 (50.8)2510 (50.5).79
    Diabetes, n (%)741 (14.9)1294 (15.7).26741 (14.9)692 (13.9).16
    Hyperlipidemia, n (%)2627 (52.9)4547 (55.0).022627 (52.9)2590 (52.2).46
    • SD, standard deviation.

    • View popup
    Table 2.

    Adverse Cardiovascular Outcomes Among Individuals Older than 65 Years Who Are Exposed and Unexposed to Amphetamines

    Before propensity score matchingAfter propensity score matching
    OutcomesOverall Risk n/N (%)Odds Ratio (CI)P valueOverall Risk n/N (%)Odds Ratio (CI)P value
    Cardiovascular Event
        Amphetamine191/4966 (3.85)7.07 (5.12, 9.76)<.01191/4966 (3.85)6.16 (4.22, 8.99)<.01
        Non-Amphetamine45/8267 (0.54)31/4966 (0.62)
    Heart failure
        Amphetamine35/4966 (0.7)5.83 (2.89, 11.76)<.0135/4966 (0.7)3.5 (1.74, 7.06)<.01
        Non-Amphetamine10/8267 (0.12)10/4966 (0.2)
    Stroke
        Amphetamine25/4966 (0.5)4.16 (2.0, 8.66)<.0125/4966 (0.5)2.5 (1.2, 5.2).01
        Non-Amphetamine10/8266 (0.1210/4966 (0.2)
    Myocardial infarction
        Amphetamine10/4966 (0.2)1.66 (0.69, 4.0).2510/4966 (0.2)1.0 (0.42, 2.4)1.0
        Non-Amphetamine10/8267 (0.12)10/4966 (0.2)
    Ischemic heart disease
        Amphetamine78/4966 (1.57)8.12 (4.74, 13.88)<.0178/4966 (1.57)7.09 (3.78, 13.31)<.01
        Non-Amphetamine16/8267 (0.19)11/4966 (0.22)
    Arrhythmias
        Amphetamine69/4966 (1.39)7.66 (4.39, 13.37)<.0169/4966 (1.39)6.9 (3.56, 13.38)<.01
        Non-Amphetamine15/8267 (0.18)10/4966 (0.2)
    Atrial fibrillation
        Amphetamine44/4966 (0.89)7.32 (3.69, 14.54)<.0144/4966 (0.89)4.4 (2.22, 8.73)<.01
        Non-Amphetamine10/8267 (0.12)10/4966 (0.2)
    • CI, confidence interval.

    • View popup
    Table 3.

    Biological Metrics After Propensity Score Matching

    Biological MetricAmphetamine (Mean ± SD)Non-Amphetamine (Mean ± SD)t TestP value
    HDL cholesterol (mg/dL)59.38 ± 19.4857.62 ± 18.222.9<.01
    LDL cholesterol (mg/dL)105.96 ± 34.2106.57 ± 34.52−0.57.57
    Diastolic blood pressure (mm Hg)75.69 ± 10.3874.63 ± 10.544.13<.01
    Systolic blood pressure (mm Hg)129.99 ± 17.24128.54 ± 16.683.3<.01
    Hemoglobin A1c (%)6.05 ± 1.086.02 ± 1.060.93.35
    • HDL, high density lipoprotein cholesterol; LDL, low density lipoprotein cholesterol; SD, standard deviation.

    • View popup
    Appendix 1:

    Coding System Identifiers

    Coding SystemCodeDescription
    Adverse cardiovascular event codes
        ICD-10F90ADHD
        ICD-10I48Atrial fibrillation
        ICD-10I49Arrhythmia
        ICD-10I50Congestive heart failure
        ICD-10I20; I22-I25Ischemic heart disease
        ICD-10I21Myocardial infarction
        ICD-10I63Stroke
    Amphetamine-related medication codes
        RxNorm725Amphetamine
        RxNorm3288Dextroamphetamine
        RxNorm6816Methamphetamine
        RxNorm6901Methylphenidate
        RxNorm700810Lisdexamfetamine
    Comorbidity diagnosis codes
        ICD-10E08-E13Diabetes (type I and type II)
        ICD-10I10Essential hypertension
    Diagnostic testing codes
        LOINC9000Total cholesterol
        LOINC9001HDL
        LOINC9002LDL
        LOINC9037Hemoglobin A1c
        LOINC9083Body mass index
        LOINC9085Systolic blood pressure
        LOINC9086Diastolic blood pressure
    • ADHD, attention-deficient/hyperactivity disorder. HDL, high density lipoprotein cholesterol; ICD-10, International Classification of Diseases, Version 10; LDL, low density lipoprotein Cholesterol; LOINC, Logical Observation Identifiers Names and Codes.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family   Medicine: 34 (6)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 6
November/December 2021
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Are Amphetamines Associated with Adverse Cardiovascular Events Among Elderly Individuals?
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
6 + 7 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Are Amphetamines Associated with Adverse Cardiovascular Events Among Elderly Individuals?
James R. Latronica, Taylor J. Clegg, Wen-Jan Tuan, Curtis Bone
The Journal of the American Board of Family Medicine Nov 2021, 34 (6) 1074-1081; DOI: 10.3122/jabfm.2021.06.210228

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Are Amphetamines Associated with Adverse Cardiovascular Events Among Elderly Individuals?
James R. Latronica, Taylor J. Clegg, Wen-Jan Tuan, Curtis Bone
The Journal of the American Board of Family Medicine Nov 2021, 34 (6) 1074-1081; DOI: 10.3122/jabfm.2021.06.210228
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusions
    • Appendix
    • Notes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Integrating Harm Reduction into Medical Care: Lessons from Three Models
  • Impact of a Pharmacist-Run Electronic Consult Service in a Network of Primary Care Patient-Centered Medical Homes
  • Estimating the Cardiovascular Disease Risk Reduction of a Quality Improvement Initiative in Primary Care: Findings from EvidenceNOW
Show more Original Research

Similar Articles

Keywords

  • Amphetamine
  • Attention Deficit Disorder with Hyperactivity
  • Cardiology
  • Cardiovascular Diseases
  • Cohort Studies
  • Geriatric Psychiatry
  • Geriatrics
  • Heart Disease Risk Factors
  • Myocardial Infarction
  • Prescriptions
  • Retrospective Studies
  • Stroke

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2023 American Board of Family Medicine

Powered by HighWire