Bookmarks
CCU040: Investigating why some people with diabetes have a greater risk of becoming seriously unwell or dying with COVID-19
Safe People
Organisation name
University of Manchester
Organisation sector
Academic Institute
Applicant name(s)
Adrian Heald
Richard Williams
Sub-licence arrangements (if any)?
No
Safe Projects
Project ID
CCU040
Lay summary
Diabetes is a condition affecting approximately 4 million people in the UK. People with diabetes have high levels of blood glucose, which if unmanaged, can lead to serious damage to the heart, feet, eyes and kidneys. Previous research has shown that people with diabetes are more likely to become seriously unwell, or die, following a coronavirus infection. However, the exact reasons for that are still largely unknown. We will report on how much more likely a person with diabetes is to become unwell or die following a COVID infection. We will also look at what factors (such as weight, BMI, blood glucose level, age, sex, ethnicity etc.) affect the likelihood of poor outcomes in patients with diabetes and a COVID infection. Analysing these factors in patients with and without diabetes, will help us to unpick to what extent the worse outcomes are related to the diabetes diagnosis, as opposed to the underlying factors such as BMI. Type 1 and type 2 diabetes patients will be analysed separately as these are different conditions and the underlying factors may not be the same.
Public benefit statement
We recently submitted findings from the city-wide Greater Manchester Care Record (GMCR) database that include identification of specific risk factors for people with type 1 and type 2 diabetes in relation to serious illness or death following a COVID-19 infection. We now wish to extend the analysis from the GMCR data to a much larger dataset. The findings of this study will inform policy decisions at a national level in relation to reducing the risk of people with diabetes of all types becoming seriously ill after contracting COVID-19, as we move out of the pandemic to a ‘status quo’ of long-term coexistence with the virus. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu040/
Technical summary
This project accessed the following datasets within the Trusted Research Environment(s) for CVD-COVID-UK / COVID-IMPACT: - ENGLAND: - Civil Registration - Deaths - COVID-19 SARI-Watch (formerly CHESS) - Covid-19 Second Generation Surveillance System - Covid-19 UK Non-hospital Antigen Testing Results - COVID-19 Vaccination Status - GPES Data for Pandemic Planning and Research (COVID-19) - Hospital Episode Statistics Admitted Patient Care - Hospital Episode Statistics Critical Care
Latest approval date
09/02/2022
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE