Chronic Kidney Disease

PH1780 / 3719

Mehrdad A Mizani, Ashkan Dashtban, Laura Pasea, Alvina G Lai, Johan Thygesen, Chris Tomlinson, Alex Handy, Jil B Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary Joan Macleod, Fatemeh Torabi, Dexter Canoy, Ashley Akbari, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee, CVD-COVID-UK Consortium

Apr 16, 2025

BHF Data Science Centre Phenotype

  1. Overview

    Project Name
    CCU003_03
    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    No data
    Coding System
    SNOMED CT codesICD10 codes
    Data Sources
    Trusted Research Environments for CVD-COVID-UK / COVID-IMPACT
    Ontology
    No data
    Collections
    BHF Data Science CentrePhenotype Library
    Tags
    No data

  2. Definition

    Definition

    No data

    Clinical Trials

    No Trials

    Endorsements

    No endorsement

  3. Implementation

    Implementation

    No data

  4. Clinical Codelist

  5. Publication

    Related publications

    • Mehrdad A Mizani, Ashkan Dashtban, Laura Pasea, Alvina G Lai, Johan Thygesen, Chris Tomlinson, Alex Handy, Jil B Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary Joan Macleod, Fatemeh Torabi, Dexter Canoy, Ashley Akbari, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee, CVD-COVID-UK Consortium. Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19–a data-driven retrospective cohort study. Journal of the Royal Society of Medicine.

      (DOI: 10.1177/01410768221131897)

    Citation Example

    Mehrdad A Mizani, Ashkan Dashtban, Laura Pasea, Alvina G Lai, Johan Thygesen, Chris Tomlinson, Alex Handy, Jil B Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary Joan Macleod, Fatemeh Torabi, Dexter Canoy, Ashley Akbari, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee, CVD-COVID-UK Consortium. PH1780 / 3719 - Chronic Kidney Disease. Phenotype Library [Online]. 16 April 2025. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH1780/version/3719/detail/. [Accessed 21 February 2026]

  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH1780/version/3719/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(
     'PH1780',
     version_id=3719
    )

    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(
     'PH1780',
     version_id=3719
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH1780/version/3719/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(
     'PH1780',
     version_id=3719
    )

    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(
     'PH1780',
     version_id=3719
    )

  7. Version History

    Version IDNameOwnerPublish date
    Chronic Kidney Disease jadene.lewis2025-04-23 10:16