Print

Obesity

Alison K Wright, Evangelos Kontopantelis, Richard Emsley, Ian Buchan, Mamas A Mamas, Naveed Sattar, Darren M Ashcroft, Martin M Rutter

ID
PH929
Version ID
1937
Type
Disease or Syndrome
Data Sources
Valid event data range
01/01/2006 - 31/12/2013
Sex
♀  Female ♂  Male
Agreement Date
2019-06-11
Coding system
Read codes v2
Collections
ClinicalCodes Repository Phenotype Library
Tags
No tags

Definition

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.

Publications

  • 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.

Clinical Code List

Rows: 21
Code Description Entity type Category Coding System (Read)
22A5.11 O/E - obese res72: Obesity diagnostic Read
22K5.00 Body mass index 30+ - obesity res72: Obesity diagnostic Read
22K7.00 Body mass index 40+ - severely obese res72: Obesity diagnostic Read
22KC.00 Obese class I (body mass index 30.0 - 34.9) res72: Obesity diagnostic Read
22KD.00 Obese class II (body mass index 35.0 - 39.9) res72: Obesity diagnostic Read
22KE.00 Obese class III (BMI equal to or greater than 40.0) res72: Obesity diagnostic Read
66C4.00 Has seen dietician - obesity res72: Obesity diagnostic Read
66C5.00 Treatment of obesity changed res72: Obesity diagnostic Read
66C6.00 Treatment of obesity started res72: Obesity diagnostic Read
8CV7.00 Anti-obesity drug therapy commenced res72: Obesity diagnostic Read
C38..00 Obesity and other hyperalimentation res72: Obesity diagnostic Read
C380.00 Obesity res72: Obesity diagnostic Read
C380200 Extreme obesity with alveolar hypoventilation res72: Obesity diagnostic Read
C380300 Morbid obesity res72: Obesity diagnostic Read
C380400 Central obesity res72: Obesity diagnostic Read
C380500 Generalised obesity res72: Obesity diagnostic Read
C38y011 Obesity hypoventilation syndrome res72: Obesity diagnostic Read
C38z000 Simple obesity NOS res72: Obesity diagnostic Read
Cyu7.00 [X]Obesity and other hyperalimentation res72: Obesity diagnostic Read
Cyu7000 [X]Other obesity res72: Obesity diagnostic Read
ZC2CM00 Dietary advice for obesity res72: Obesity diagnostic Read

API

To Export Phenotype Details:

Format API
XML site_root/api/v1/public/phenotypes/PH929/version/1937/detail/?format=xml
JSON site_root/api/v1/public/phenotypes/PH929/version/1937/detail/?format=json
R Package

# Download here

library(ConceptLibraryClient)


# Connect to API

client = connect_to_API(public=TRUE)


# Get details of phenotype

details = get_phenotype_detail_by_version('PH929', '1937', api_client=client)

To Export Phenotype Code List:

Format API
XML site_root/api/v1/public/phenotypes/PH929/version/1937/export/codes/?format=xml
JSON site_root/api/v1/public/phenotypes/PH929/version/1937/export/codes/?format=json
CSV site_root/phenotypes/PH929/version/1937/export/codes/
R Package

# Download here

library(ConceptLibraryClient)


# Connect to API

client = connect_to_API(public=TRUE)


# Get codelists of phenotype

codelists = get_phenotype_code_list('PH929', '1937', api_client=client)

Version History

Version
ID
Name Owner Publish date
1937 Obesity ieuan.scanlon 2022-04-04 currently shown

Export - export all codes into a csv file/JSON/XML for the current phenotype version.

Print - Print page.