Skip to main content

Main menu

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Instructions for authors
  • About the journal
    • About the journal
    • Editorial board
    • Instructions for authors
    • FAQs
    • Chinese Stroke Association
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising
  • BMJ Journals

User menu

  • Login

Search

  • Advanced search
  • BMJ Journals
  • Login
  • Facebook
  • Twitter
Stroke and Vascular Neurology

Advanced Search

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Instructions for authors
  • About the journal
    • About the journal
    • Editorial board
    • Instructions for authors
    • FAQs
    • Chinese Stroke Association
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising
Open Access

Combined risk modelling approach to identify the optimal carotid revascularisation approach

James Francis Burke, Lewis B Morgenstern, Nicholas H Osborne, Rodney A Hayward
DOI: 10.1136/svn-2020-000558 Published 28 September 2021
James Francis Burke
1 Neurology, University of Michigan Michigan Medicine, Ann Arbor, Michigan, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for James Francis Burke
Lewis B Morgenstern
1 Neurology, University of Michigan Michigan Medicine, Ann Arbor, Michigan, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicholas H Osborne
2 Vascular Surgery, Univerity of Michigan Medicine, Ann Arbor, Michigan, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rodney A Hayward
3 Internal Medicine, University of Michigan Michigan Medicine, Ann Arbor, Michigan, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Supplementary Materials
  • Additional Files
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    Schematic overview of methods. CAS, carotid artery stenting; CEA, carotid endarterectomy; CREST, Carotid Revascularisation Stenting versus Endarterectomy; MI, myocardial infarction; SVS, Society for Vascular Surgery; VQI, Vascular Quality Initiative.

  • Figure 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2

    Distribution of predicted net benefit for each individual in crest with treatment on Primary Stroke and MI Treatment Models (A) and the Sensitivity Stroke and Primary MI Treatment Models (B). The y-axis represents the net change in the risk of MI with CEA vs CAS (higher values indicate greater risk with CEA compared with CAS) calculated by taking the predicted probability with CEA on the Primary MI Treatment Model and subtracting the predicted probability with CAS. The x-axis represents the change in stroke risk with CEA versus CAS (higher values indicate greater risk with CAS compared with CEA), calculated by taking the predicted probability with CAS on the primary stroke (A) or sensitivity stroke (B) and subtracting the predicted probability with CEA on the same model. The red line has a slope of 1 and intercept of 0, representing the break-even point where stroke and MI risks are comparable. To the left of the line, the net benefit is greater with CAS and to the right, net benefit is greater with CEA. CAS, carotid artery stenting; CEA, carotid endarterectomy; MI, myocardial infarction.

  • Figure 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3

    Calibration of baseline treatment models in SVS-VQI. (A) displays the predicted stroke risk from the CREST treatment model (red bars), the actual stroke risk measured in SVS-VQI (blue bars) and the estimated risk in a model that recalibrated the intercept of the CREST model (green bars) as well as a model that estimated both the slope and intercept of the CREST model in SVS-VQI (yellow bars) . (B) is analogous to (A), but the models are for MI prediction. CREST, Carotid Revascularisation Stenting versus Endarterectomy; MI, myocardial infarction; SVS, Society for Vascular Surgery; VQI, Vascular Quality Initiative.

Tables

  • Figures
  • Supplementary Materials
  • Additional Files
  • Table 1

    Summary of regression coefficients for stroke/MI treatment models in crest

    StrokeMI
    Regression coefficientP valueRegression coefficientP value
    Baseline Risk Index0.29443960.4030.63158310.001
    CAS−1.5296990.441−0.69563890.035
    Symptomatic0.64037830.084−0.49830090.148
    CEA-Age Interaction0.02354380.297
    CAS-Age Interaction0.05421870.001
    Constant−5.9863390−5.1507850
    SVS Recalibrated Constant−6.486095−5.622736
    • CAS, carotid artery stenting; CEA, carotid endarterectomy; MI, myocardial infarction; SVS, Society for Vascular Surgery.

  • Table 2

    Predicted optimal event rates applying MI and stroke treatment models (with recalibrated slopes and intercepts) in the SVS-VQI dataset

    Estimated stroke rateEstimated MI rate, %Total event rate, %
    Optimal treatment1.310.732.04
    As treated1.390.732.12
    All CEA1.300.752.05
    All CAS2.050.582.63
    • CAS, carotid artery stenting; CEA, carotid endarterectomy; MI, myocardial infarction.

Supplementary Materials

  • Figures
  • Tables
  • Additional Files
  • Supplementary data

    [svn-2020-000558supp001.pdf]

  • Supplementary data

    [svn-2020-000558supp002.pdf]

Additional Files

  • Figures
  • Tables
  • Supplementary Materials
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

    • Data supplement 1
    • Data supplement 2
PreviousNext
Back to top
Vol 6 Issue 3 Table of Contents
Stroke and Vascular Neurology: 6 (3)
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Front Matter (PDF)
Email

Thank you for your interest in spreading the word on Stroke and Vascular Neurology.

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.
Combined risk modelling approach to identify the optimal carotid revascularisation approach
(Your Name) has sent you a message from Stroke and Vascular Neurology
(Your Name) thought you would like to see the Stroke and Vascular Neurology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Combined risk modelling approach to identify the optimal carotid revascularisation approach
James Francis Burke, Lewis B Morgenstern, Nicholas H Osborne, Rodney A Hayward
Stroke and Vascular Neurology Sep 2021, 6 (3) 476-482; DOI: 10.1136/svn-2020-000558

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Cite This
  • APA
  • Chicago
  • Endnote
  • MLA
Loading
Combined risk modelling approach to identify the optimal carotid revascularisation approach
James Francis Burke, Lewis B Morgenstern, Nicholas H Osborne, Rodney A Hayward
Stroke and Vascular Neurology Sep 2021, 6 (3) 476-482; DOI: 10.1136/svn-2020-000558
Download PDF

Share
Combined risk modelling approach to identify the optimal carotid revascularisation approach
James Francis Burke, Lewis B Morgenstern, Nicholas H Osborne, Rodney A Hayward
Stroke and Vascular Neurology Sep 2021, 6 (3) 476-482; DOI: 10.1136/svn-2020-000558
Reddit logo Twitter logo Facebook logo Mendeley logo
Respond to this article
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Data availability statement
    • Ethics statements
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Learning curve and embolisation strategy in single-stage surgery combined embolisation and microsurgery for brain arteriovenous malformations: results from a nationwide multicentre prospective registry study
  • Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores
  • Thrombus iodine-based perviousness is associated with recanalisation and functional outcomes in endovascular thrombectomy
Show more Original research

Similar Articles

 
 

CONTENT

  • Latest content
  • Current issue
  • Archive
  • eLetters
  • Sign up for email alerts
  • RSS

JOURNAL

  • About the journal
  • Editorial board
  • Recommend to librarian
  • Chinese Stroke Association

AUTHORS

  • Instructions for authors
  • Submit a paper
  • Track your article
  • Open Access at BMJ

HELP

  • Contact us
  • Reprints
  • Permissions
  • Advertising
  • Feedback form

© 2025 Chinese Stroke Association