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CCU073: Impact of COVID-19 on the association between Type 2 diabetes and incidence of cardiovascular diseases
Safe People
Organisation name
University of Cambridge
Organisation sector
Academic Institute
Applicant name(s)
Stephen Kaptoge
Sub-licence arrangements (if any)?
No
Safe Projects
Project ID
CCU073
Lay summary
Diabetes is a condition linked with abnormally high blood sugar, which can damage blood vessels and body organs. Blood sugar is regulated by a chemical called insulin. In type 1 diabetes the pancreas does not produce any insulin and mainly starts in childhood. In type 2 diabetes the pancreas does not produce enough insulin and mainly starts in adulthood. - People with diabetes are more likely to develop cardiovascular diseases such as heart attacks and strokes. - People with diabetes had worse outcomes during the COVID-19 pandemic and were more likely to die from COVID-19 or develop new health issues. - People who have had COVID-19 infection are more likely to get a cardiovascular disease and we know that this risk continues for up to a year after the infection. - We need to know more about how COVID-19 has impacted cardiovascular health in people with diabetes over the longer term. - We also need to know if the risk of these health problems differs by certain groups such as male and female, those from minority ethnic or poorer backgrounds, those who have more severe diabetes and those who were diagnosed with diabetes at a younger age. - We hope this new information will lead to new ways that help to prevent more ill health and save lives. We aim to look deeper into the links between type 2 diabetes, age at diagnosis of diabetes and cardiovascular diseases. We will also look at whether COVID-19 infection has impacted these links. By analysing detailed population-wide linked electronic health records on 56 million people alive on 1st January 2020 in England, we will uncover new insights which have not previously been possible in studies of smaller sample size.
Public benefit statement
A deeper look into the link between type 2 diabetes and new onset cardiovascular diseases accounting for the impact of COVID-19 infection, vaccinations, age at diagnosis, severity of disease, socio-demographic characteristics (e.g. age, sex, ethnicity, deprivation, region) and clinical characteristics (e.g. history of diseases, hypertension, obesity, high cholesterol) will provide new insights to develop evidence-based strategies to improve the health of people with diabetes. Our proposed work will feed into public messaging (e.g. lifestyle changes earlier in life to reduce the risk of developing diabetes at an earlier age) that will highly likely save lives and reduce cardiovascular hospitalisation and death in people with diabetes. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu073/
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 Antibody Testing Results - Covid-19 UK Non-hospital Antigen Testing Results - COVID-19 Vaccination Status - Emergency Care Data Set (ECDS) - GPES Data for Pandemic Planning and Research (COVID-19) - Hospital Episode Statistics Accident and Emergency - Hospital Episode Statistics Admitted Patient Care - Hospital Episode Statistics Critical Care - Hospital Episode Statistics Outpatients - ICNARC: Intensive Care National Audit and Research Centre - Medicines dispensed in Primary Care (NHSBSA data) - NICOR – MINAP: Myocardial Ischaemia National Audit Project - NICOR – NACRM: National Audit of Cardiac Rhythm Management - NICOR – NACSA: National Adult Cardiac Surgery Audit - NICOR – NCHDA: National Congenital Heart Disease Audit - NICOR – NHFA: National Heart Failure Audit - NICOR – PCI: Percutaneous Coronary Interventions - NICOR – TAVI: Transcatheter Aortic Valve Implantation - Secondary Care Prescribed Medicines (EPMA) - Secondary Uses Services Payment By Results - Sentinel Stroke National Audit Programme Clinical Dataset
Latest approval date
29/06/2023
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE