Diabetes
Kuan V, Denaxas S, Gonzalez-Izquierdo A, Direk K, Bhatti O, Husain S, Sutaria S, Hingorani M, Nitsch D, Parisinos C, Lumbers T, Mathur R, Sofat R, Casas JP, Wong I, Hemingway H, Hingorani A
PH152 / 304 Clinical-Coded Phenotype
Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date Range01/01/1999 - 01/07/2016Coding SystemICD10 codesRead codes v2Med codesData SourcesCollectionsCALIBERPhenotype LibraryTagsNo dataDefinition
Use MODIFIED CALIBER 'Diabetes' phenotyping algorithm for
T1DM,
T2DM,
'Diabetes' other or uncertain type:
IF there is at least one record for code for type 2 'Diabetes' (diabdiag_gprd = 4)
and no record for type 1 'Diabetes' (no record with diabdiag_gprd = 3) then classify the patient as type 2 'Diabetes'ELSE if there is at least one record for code for type I 'Diabetes' (diabdiag_gprd = 3)
and no record for type 2 'Diabetes' (no record with diabdiag_gprd = 4) then classify the patient as type 1 'Diabetes'ELSE if there is at least one record of type 1 'Diabetes' (diabdiag_gprd = 3)
and type 2 'Diabetes' (diabdiag_gprd = 4) then classify as 'Diabetes' other or uncertain typeELSE if there are no diabdiag_gprd records for this patient:
If there is at least one record for Non-insulin-dependent 'Diabetes' mellitus (NIDDM) (dm_gprd = 4 or dm_hes = 4) and no record for IDDM (no record with dm_gprd = 3 or dm_hes = 3) then classify the patient as type 2 'Diabetes' ELSE if there is at least one record for Insulin-dependent 'Diabetes' mellitus (IDDM) (dm_gprd = 3 or dm_hes = 3) and no record for NIDDM (no record with dm_gprd = 4 or dm_hes = 4) then classify the patient as type 1 'Diabetes' ELSE if there is at least one record of 'Diabetes' (dm_gprd or dm_hes category 3, 4, 5 or 6) then classify as 'Diabetes' other or uncertain typeELSE classify as no 'Diabetes'
Implementation
Phenoflow IDImplementation
Clinical Code List
PUBLISHED - 48 Codes
PUBLISHED - 48 Codes
PUBLISHED - 8 Codes
Publication
Kuan V., Denaxas S., Gonzalez-Izquierdo A. et al. A chronological map of 308 physical and mental health conditions from 4 million individuals in the National Health Service. The Lancet Digital Health - DOI 10.1016/S2589-7500(19)30012-3
(DOI:10.1016/S2589-7500(19)30012-3)
Citation Example
Kuan V, Denaxas S, Gonzalez-Izquierdo A, Direk K, Bhatti O, Husain S, Sutaria S, Hingorani M, Nitsch D, Parisinos C, Lumbers T, Mathur R, Sofat R, Casas JP, Wong I, Hemingway H, Hingorani A. PH152 / 304 - Diabetes. Phenotype Library [Online]. 06 October 2021. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH152/version/304/detail/. [Accessed 22 October 2024]
API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH152/version/304/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of phenotype
phenotype_details = client$phenotypes$get_detail(
'PH152',
version_id=304
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_detail(
'PH152',
version_id=304
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH152/version/304/export/codes/?format=json CSV site_root/phenotypes/PH152/version/304/export/codes/ R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH152',
version_id=304
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_codelist(
'PH152',
version_id=304
)Version History