COPD

Eleanor L Axson, Jennifer K Quint

PH11 / 22 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    01/01/2001 - 31/12/2019
    Coding System
    ICD10 codesRead codes v2SNOMED CT codesUKBioBank codesICD11 codes
    Data Sources
    UK Biobank, CPRD Aurum, Death Registration data for CPRD Aurum, CPRD GOLD, Death Registration data for CPRD GOLD, HES Admitted Patient Care data for CPRD Aurum, HES Admitted Patient Care data for CPRD GOLD
    Collections
    BREATHEPhenotype Library
    Tags
    No data

  2. Definition

    These codes are not intended to be mandatory, but are to be used as a starting point for the identification of COPD in routine EHR. Each study may differ in the sensitivity and specificity of the coding required.

    According to the National Institute for Health and Care Excellence (NICE) guidelines for the diagnosis of COPD, COPD should be suspected in patients over 35 years old who have a risk factor (typically smoking) and at least one symptom. It is therefore recommended that these codes are only utilised in an adult population at least 35 years old with a history of smoking.

    https://www.nice.org.uk/guidance/ng115/chapter/Recommendations#diagnosing-copd

    Validation of Read Codes for the Identification of COPD in CPRD

    "Quint et al. validated a set of Read codes for the identification of COPD in CPRD in 2014. Using diagnostic codes alone, the positive predictive value (PPV) was 86.5% (77.5?92.3%). Requiring a diagnostic code, spirometry measures, and specific medication increased PPV to 89.4% (80.7?94.5%) but reduced case numbers by 10%."

  3. Implementation

    Phenoflow ID
    https://kclhi.org/phenoflow/phenotype/download/37

    Implementation

    No data

  4. Clinical Code List

  5. Publication

    • Publications in 2019 using validated Read codes from Quint et al. 2014

    • D. Stolz, Kostikas, K., Loefroth, E., Fogel, R., Gutzwiller, F. S., Conti, V., Cao, H., and Clemens, A., ?Differences in COPD exacerbation risk between women and men: analysis from the UK Clinical Practice Research Datalink data?, Chest, 2019."

    • M. Pikoula, Quint, J. K., Nissen, F., Hemingway, H., Smeeth, L., and Denaxas, S., ?Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records?, BMC Med Inform Decis Mak, vol. 19, p. 86, 2019."

    • H. R. Whittaker, Mullerova, H., Jarvis, D., Barnes, N. C., Jones, P. W., Compton, C. H., Kiddle, S. J., and Quint, J. K., ?Inhaled corticosteroids, blood eosinophils, and FEV1 decline in patients with COPD in a large UK primary health care setting?, Int J Chron Obstruct Pulmon Dis, vol. 14, pp. 1063-1073, 2019."

    • C. I. Bloom, Ricciardi, F., Smeeth, L., Stone, P., and Quint, J. K., ?Predicting COPD 1-year mortality using prognostic predictors routinely measured in primary care?, BMC Med, vol. 17, p. 73, 2019."

    • D. Dedman, Coton, S. J., Ghosh, R. E., Meeraus, W., Crim, C., Harvey, C., Amelio, J., and Landis, S. H., ?Treatment Patterns of New Users of Fluticasone Furoate/Vilanterol in Asthma and COPD in UK Primary Care: Retrospective Cohort Study?, Pulmonary Therapy, vol. 5, pp. 81-95, 2019."

    • J. D. Chalmers, Poole, C., Webster, S., Tebboth, A., Dickinson, S., and Gayle, A., ?Assessing the healthcare resource use associated with inappropriate prescribing of inhaled corticosteroids for people with chronic obstructive pulmonary disease (COPD) in GOLD groups A or B: an observational study using the Clinical Practice Research Data?, Respir Res, vol. 19, p. 63, 2018."

    • Publications in 2019 using Read codes from QOF

    • P. Rockenschaub, Jhass, A., Freemantle, N., Aryee, A., Rafiq, M., Hayward, A., and Shallcross, L., ?Opportunities to reduce antibiotic prescribing for patients with COPD in primary care: a cohort study using electronic health records from the Clinical Practice Research Datalink (CPRD)?, J Antimicrob Chemother, 2019."

    Citation Example

    Eleanor L Axson, Jennifer K Quint. PH11 / 22 - COPD. Phenotype Library [Online]. 06 October 2021. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH11/version/22/detail/. [Accessed 21 November 2024]

  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH11/version/22/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(
     'PH11',
     version_id=22
    )

    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(
     'PH11',
     version_id=22
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH11/version/22/export/codes/?format=json
    CSV site_root/phenotypes/PH11/version/22/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(
     'PH11',
     version_id=22
    )

    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(
     'PH11',
     version_id=22
    )

  7. Version History

    Version IDNameOwnerPublish date
    22 COPD ieuan.scanlon2021-10-06currently shown