AIDS
Victor W Zhong, Juhaeri Juhaeri, Stephen R Cole, Christian M Shay, Carolyn A Chew-Graham, Penny Gordon-Larsen, Evangelos Kontopantelis, Elizabeth J Mayer-Davis
PH721 / 1442 Clinical-Coded Phenotype
Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date Range01/04/1997 - 31/03/2014Coding SystemRead codes v2Data SourcesCollectionsClinicalCodes RepositoryPhenotype LibraryTagsNo dataDefinition
Aims:
To determine association between HbA1C variability and hypoglycemia requiring hospitalization (HH) in adults with type 1 diabetes (T1D) and type 2 diabetes (T2D).
Methods:
Using nested case-control design in electronic health record data in England, one case with first or recurrent HH was matched to one control who had not experienced HH in incident T1D and T2D adults. HbA1C variability was determined by standard deviation of ≥3 HbA1C results. Conditional logistic models were applied to determine association of HbA1C variability with first and recurrent HH.
Results:
In T1D, every 1.0% increase in HbA1C variability was associated with 90% higher first HH risk (95% CI, 1.25–2.89) and 392% higher recurrent HH risk (95% CI, 1.17–20.61). In T2D, a 1.0% increase in HbA1C variability was associated with 556% higher first HH risk (95% CI, 3.88–11.08) and 573% higher recurrent HH risk (95% CI,1.59–28.51). In T2D for first HH, the association was the strongest in non-insulin non-sulfonylurea users (P b 0.0001); for recurrent HH, the association was stronger in insulin users than sulfonylurea users (P = 0.07). The HbA1C variability-HH association was stronger in more recent years in T2D (P ≤ 0.004).
Conclusions:
HbA1C variability is a strong predictor for HH in T1D and T2D.
Implementation
No dataImplementation
Clinical Code List
PUBLISHED - 36 Codes
Publication
Victor W Zhong, Juhaeri Juhaeri, Stephen R Cole, Christian M Shay, Carolyn A Chew-Graham, Penny Gordon-Larsen, Evangelos Kontopantelis, Elizabeth J Mayer-Davis, HbA1C variability and hypoglycemia hospitalization in adults with type 1 and type 2 diabetes: A nested case-control study. Journal of Diabetes and Its Complications, 32(2), 2017.
No dataCitation Requirements
API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH721/version/1442/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of phenotype
phenotype_details = client$phenotypes$get_detail(
'PH721',
version_id=1442
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_detail(
'PH721',
version_id=1442
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH721/version/1442/export/codes/?format=json CSV site_root/phenotypes/PH721/version/1442/export/codes/ R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH721',
version_id=1442
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_codelist(
'PH721',
version_id=1442
)Version History