Opioid Analgesics

Matthew J Carr, Darren M Ashcroft, Evangelos Kontopantelis, David While, Yvonne Awenat, Jayne Cooper, Carolyn Chew-Graham, Nav Kapur, Roger T Webb

PH380 / 760 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Drug
    Sex
    Both
    Valid Event Date Range
    01/01/2001 - 31/12/2013
    Coding System
    Multilex codes
    Data Sources
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data
  2. Definition

    PURPOSE:

    Self-harm is a public health problem that requires a better understanding of mortality risk. We undertook a study to examine premature mortality in a nationally representative cohort of primary care patients who had harmed themselves.

    METHODS:

    During 2001-2013, a total of 385 general practices in England contributed data to the Clinical Practice Research Datalink with linkage to Office for National Statistics mortality records. We identified 30,017 persons aged 15 to 64 years with a recorded episode of self-harm. We estimated the relative risks of all-cause and cause-specific natural and unnatural mortality using a comparison cohort of 600,258 individuals matched on age, sex, and general practice.

    RESULTS:

    We found an elevated risk of dying prematurely from any cause among the self-harm cohort, especially in the first year of follow-up (adjusted hazard ratio for that year, 3.6; 95% CI, 3.1-4.2). In particular, suicide risk was especially high during the first year (adjusted hazard ratio, 54.4; 95% CI, 34.3-86.3); although it declined sharply, it remained much higher than that in the comparison cohort. Large elevations of risk throughout the follow-up period were also observed for accidental, alcohol-related, and drug poisoning deaths. At 10 years of follow-up, cumulative incidence values were 6.5% (95% CI, 6.0%-7.1%) for allcause mortality and 1.3% (95% CI, 1.2%-1.5%) for suicide.

    CONCLUSIONS:

    Primary care patients who have harmed themselves are at greatly increased risk of dying prematurely by natural and unnatural causes, and especially within a year of a first episode. These individuals visit clinicians at a relatively high frequency, which presents a clear opportunity for preventive action. Primary care patients with myriad comorbidities, including self-harming behavior, mental disorder, addictions, and physical illnesses, will require concerted, multipronged, multidisciplinary collaborative care approaches.

  3. Implementation

    Implementation

    No data
  4. Clinical Code List

  5. Publication

    • Matthew J Carr, Darren M Ashcroft, Evangelos Kontopantelis, David While, Yvonne Awenat, Jayne Cooper, Carolyn Chew-Graham, Nav Kapur, Roger T Webb, Premature Death Among Primary Care Patients With a History of Self-Harm. Annals of Family Medicine, 15(3), 2017.

    Citation Requirements

    No data
  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH380/version/760/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(
     'PH380',
     version_id=760
    )

    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(
     'PH380',
     version_id=760
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH380/version/760/export/codes/?format=json
    CSV site_root/phenotypes/PH380/version/760/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(
     'PH380',
     version_id=760
    )

    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(
     'PH380',
     version_id=760
    )

  7. Version History

    Version IDNameOwnerPublish date
    760 Opioid Analgesics ieuan.scanlon2021-10-06currently shown