Chronic Kidney Disease (CKD)
Alison K Wright, Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin M Rutter
PH920 / 1919 Clinical-Coded Phenotype
Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date Range01/01/2006 - 31/12/2013Coding SystemRead codes v2Data SourcesCollectionsClinicalCodes RepositoryPhenotype LibraryTagsNo dataDefinition
BACKGROUND:
With recent changes in the United Kingdom’s clinical practice for diabetes mellitus care, contemporary estimates of sex disparities in cardiovascular risk and risk factor management are needed.
METHODS:
In this retrospective cohort study, using the Clinical Practice Research Datalink linked to hospital and death records for people in England, we identified 79 985 patients with incident type 2 diabetes mellitus (T2DM) between 2006 to 2013 matched to 386 547 patients without diabetes mellitus. Sex-stratified Cox models were used to assess cardiovascular risk.
RESULTS:
Compared with women without T2DM, women with T2DM had a higher cardiovascular event risk (adjusted hazard ratio, 1.20 [95% confidence interval, 1.12–1.28]) with similar corresponding data in men (hazard ratio, 1.12 [1.06–1.19]), leading to a nonsignificant higher relative risk in women (risk ratio, 1.07 [0.98–1.17]). However, some important sex differences in the management of risk factors were observed. Compared with men with T2DM, women with T2DM were more likely to be obese, hypertensive, and have hypercholesterolemia, but were less likely to be prescribed lipid-lowering medication and angiotensin-converting enzyme inhibitors, especially if they had cardiovascular disease.
CONCLUSIONS:
Compared with men developing T2DM, women with T2DM do not have a significantly higher relative increase in cardiovascular risk, but ongoing sex disparities in prescribing should prompt heightened efforts to improve the standard and equity of diabetes mellitus care in women and men.
Implementation
Implementation
Clinical Code List
PUBLISHED - 58 Codes
Publication
Alison K Wright,Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin K Rutter, , Cardiovascular Risk and Risk Factor Management in Type 2 Diabetes Mellitus A Population-Based Cohort Study Assessing Sex Disparities. Circulation, 139:2742-2753, 2019.
Citation Example
Alison K Wright, Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin M Rutter. PH920 / 1919 - Chronic Kidney Disease (CKD). Phenotype Library [Online]. 04 April 2022. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH920/version/1919/detail/. [Accessed 04 October 2024]
API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH920/version/1919/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of phenotype
phenotype_details = client$phenotypes$get_detail(
'PH920',
version_id=1919
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_detail(
'PH920',
version_id=1919
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH920/version/1919/export/codes/?format=json CSV site_root/phenotypes/PH920/version/1919/export/codes/ R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH920',
version_id=1919
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_codelist(
'PH920',
version_id=1919
)Version History