Cardiovascular Disease (CVD) Risk Score

Anthony Mathews, Emily Herret, Antonio Gassparrini, Tjeerd Van Staa, Ben Goldacre, Liam Smeeth, Krishnan Bhaskaran

PH579 / 1158 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    01/01/2011 - 31/03/2015
    Coding System
    Read codes v2
    Data Sources
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data
  2. Definition

    Objective:

    To quantify how a period of intense media coverage of controversy over the risk:benefit balance of statins affected their use.

    Design:

    Interrupted time series analysis of prospectively collected electronic data from primary care.

    Setting:

    Clinical Practice Research Datalink (CPRD) in the United Kingdom.

    Participants:

    Patients newly eligible for or currently taking statins for primary and secondary cardiovascular disease prevention in each month in January 2011-March 2015.

    Main Outcome Measures:

    Adjusted odds ratios for starting/stopping taking statins after the media coverage (October 2013-March 2014).

    Results:

    There was no evidence that the period of high media coverage was associated with changes in statin initiation among patients with a high recorded risk score for cardiovascular disease (primary prevention) or a recent cardiovascular event (secondary prevention) (odds ratio 0.99 (95% confidence interval 0.87 to 1.13; P=0.92) and 1.04 (0.92 to 1.18; P=0.54), respectively), though there was a decrease in the overall proportion of patients with a recorded risk score. Patients already taking statins were more likely to stop taking them for both primary and secondary prevention after the high media coverage period (1.11 (1.05 to 1.18; P<0 (1.04 .001) 1.12 1.21; a after analyses analyses, and cessation continuous coverage. hoc in increased likely longer media months.< more no observed of older p patients post prescription rates respectively). showed six statins stop stratified taking that the those to were with>

    Conclusions:

    A period of intense public discussion over the risks: benefit balance of statins, covered widely in the media, was followed by a transient rise in the proportion of people who stopped taking statins. This research highlights the potential for widely covered health stories in the lay media to impact on healthcare related behaviour.

  3. Implementation

    Implementation

    No data
  4. Clinical Code List

  5. Publication

    • Anthony Mathews, Emily Herret, Antonio Gassparrini, Tjeerd Van Staa, Ben Goldacre, Liam Smeeth, Krishnan Bhaskaran, Impact of statin related media coverage on use of statins interrupted time series analysis with UK primary care data. BMJ, 353(i3283),2016.

    Citation Requirements

    No data
  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH579/version/1158/detail/?format=json
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get details of phenotype

    phenotype_details = client$phenotypes$get_detail(
     'PH579',
     version_id=1158
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_detail(
     'PH579',
     version_id=1158
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH579/version/1158/export/codes/?format=json
    CSV site_root/phenotypes/PH579/version/1158/export/codes/
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get codelist of phenotype

    phenotype_codelist = client$phenotypes$get_codelist(
     'PH579',
     version_id=1158
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_codelist(
     'PH579',
     version_id=1158
    )

  7. Version History

    Version IDNameOwnerPublish date
    1158 Cardiovascular Disease (CVD) Risk Score ieuan.scanlon2021-10-06currently shown