Dementia

Robert L Grant, Vari M Drennan, Greta Rait, Irene Petersen, Steve Iliffe

PH473 / 1514 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    01/01/2001 - 31/12/2010
    Coding System
    Read codes v2
    Data Sources
    The Health Improvement Network (THIN)
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data

  2. Definition

    We extracted data on 54,816 people aged 60–89 with dementia and an age-gender stratifiedsample of 205,795 people without dementia from 2001 to 2010 from The Health Improvement Network (THIN), a United Kingdom primary care database. THIN includes data on patients and primary care consultations but does not identify care home residents. Rate ratios were adjusted for age, sex, and co-morbidity using multilevel Poisson regression. The rates of first diagnosis per 1,000 person-years at risk (95% confidence interval) for urinary incontinence in the dementia cohort, among men and women, respectively, were 42.3 (40.9–43.8) and 33.5 (32.6–34.5). In the non-dementia cohort, the rates were 19.8 (19.4–20.3) and 18.6 (18.2–18.9). The rates of first diagnosis for faecal incontinence in the dementia cohort were 11.1 (10.4–11.9) and 10.1 (9.6–10.6). In the non-dementia cohort, the rates were 3.1 (2.9–3.3) and 3.6 (3.5–3.8). The adjusted rate ratio for first diagnosis of urinary incontinence was 3.2 (2.7–3.7) in men and 2.7 (2.3–3.2) in women, and for faecal incontinence was 6.0 (5.1–7.0) in men and 4.5 (3.8–5.2) in women. The adjusted rate ratio for pharmacological treatment of urinary incontinence was 2.2 (1.4–3.7) for both genders, and for indwelling urinary catheters was 1.6 (1.3–1.9) in men and 2.3 (1.9–2.8) in women.

  3. Implementation

    Implementation

    No data

  4. Clinical Code List

  5. Publication

    • Robert L Grant, Vari M Drennan, Greta Rait, Irene Petersen, Steve Iliffe, First Diagnosis and Management of Incontinence in Older People with and without Dementia in Primary Care A Cohort Study Using The Health Improvement Network Primary Care Database. PLOS medicine, 10:8, 2013.

    Citation Requirements

    No data

  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH473/version/1514/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(
     'PH473',
     version_id=1514
    )

    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(
     'PH473',
     version_id=1514
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH473/version/1514/export/codes/?format=json
    CSV site_root/phenotypes/PH473/version/1514/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(
     'PH473',
     version_id=1514
    )

    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(
     'PH473',
     version_id=1514
    )

  7. Version History

    Version IDNameOwnerPublish date
    1514 Dementia ieuan.scanlon2021-10-26currently shown