Major Adverse Cardiac Events (MACE)

PH927 / 1933

Alison K Wright, Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin M Rutter

Apr 4, 2022

Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    01/01/2006 - 31/12/2013
    Coding System
    ICD10 codesRead codes v2
    Data Sources
    CPRD GOLD
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data
    Ontology
    No data

  2. Definition

    BACKGROUND:

    With recent changes in the United Kingdom’s clinical practice for diabetes mellitus care, contemporary estimates of sex disparities in cardiovascular risk and risk factor management are needed.

    METHODS:

    In this retrospective cohort study, using the Clinical Practice Research Datalink linked to hospital and death records for people in England, we identified 79 985 patients with incident type 2 diabetes mellitus (T2DM) between 2006 to 2013 matched to 386 547 patients without diabetes mellitus. Sex-stratified Cox models were used to assess cardiovascular risk.

    RESULTS:

    Compared with women without T2DM, women with T2DM had a higher cardiovascular event risk (adjusted hazard ratio, 1.20 [95% confidence interval, 1.12–1.28]) with similar corresponding data in men (hazard ratio, 1.12 [1.06–1.19]), leading to a nonsignificant higher relative risk in women (risk ratio, 1.07 [0.98–1.17]). However, some important sex differences in the management of risk factors were observed. Compared with men with T2DM, women with T2DM were more likely to be obese, hypertensive, and have hypercholesterolemia, but were less likely to be prescribed lipid-lowering medication and angiotensin-converting enzyme inhibitors, especially if they had cardiovascular disease.

    CONCLUSIONS:

    Compared with men developing T2DM, women with T2DM do not have a significantly higher relative increase in cardiovascular risk, but ongoing sex disparities in prescribing should prompt heightened efforts to improve the standard and equity of diabetes mellitus care in women and men.

  3. Implementation

    Implementation

    No data

  4. Clinical Codelist

  5. Publication

    Related publications

    • Alison K Wright,Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin K Rutter, , Cardiovascular Risk and Risk Factor Management in Type 2 Diabetes Mellitus A Population-Based Cohort Study Assessing Sex Disparities. Circulation, 139:2742-2753, 2019.

    Citation Example

    Alison K Wright, Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin M Rutter. PH927 / 1933 - Major Adverse Cardiac Events (MACE). Phenotype Library [Online]. 04 April 2022. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH927/version/1933/detail/. [Accessed 22 February 2026]

  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH927/version/1933/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(
     'PH927',
     version_id=1933
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get details of Phenotype

    phenotype_detail = client.phenotypes.get_detail(
     'PH927',
     version_id=1933
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH927/version/1933/export/codes/?format=json
    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(
     'PH927',
     version_id=1933
    )

    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(
     'PH927',
     version_id=1933
    )

  7. Version History

    Version IDNameOwnerPublish date
    Major Adverse Cardiac Events (MACE) ieuan.scanlon2022-04-04 07:11