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CCU003: Direct and indirect effects of the coronavirus (COVID-19) pandemic in individuals with cardiovascular disease
Safe People
Organisation name
University College London
Organisation sector
Academic Institute
Applicant name(s)
Amitava Banerjee
Sub-licence arrangements (if any)?
No
Safe Projects
Project ID
CCU003
Lay summary
Coronavirus (COVID-19) directly impacts individuals who become infected with the virus. It can also influence people’s healthcare decisions (such as deciding not to attend medical appointments for fear of infection). In addition, hospitals have sometimes had to prioritise treatment of COVID-19 patients over routine healthcare. Access to data from healthcare records will help to improve our understanding of what puts certain people at an increased level of risk. This includes people with cardiovascular disease, including heart disease and stroke. This research project has three main priorities. For people with cardiovascular disease, we will estimate by how much becoming infected or unwell with COVID-19 increases their risk of dying within one year of infection. This will involve analysing routine healthcare data from multiple sources, including from general practices, hospitals and national death registers. We will study how the treatment of patients with cardiovascular disease has been affected during the pandemic. We will develop and improve models that predict the risk of dying at one year among people with cardiovascular disease who have and who have not contracted COVID-19. Our research will help to shape health policy, help patients and clinicians to make more informed decisions, and improve health outcomes.
Public benefit statement
This research project has three main priorities. For people with cardiovascular disease, we will estimate by how much becoming infected or unwell with COVID-19 increases their risk of dying within one year of infection. This will involve analysing routine healthcare data from multiple sources, including from general practices, hospitals and national death registers. We will study how the treatment of patients with cardiovascular disease has been affected during the pandemic. We will develop and improve models that predict the risk of dying at one year among people with cardiovascular disease who have and who have not contracted COVID-19. Our research will help to shape health policy, help patients and clinicians to make more informed decisions, and improve health outcomes. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu003/
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 - 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 Uses Services Payment By Results - Sentinel Stroke National Audit Programme Clinical Dataset - SCOTLAND: - COVID Tests - Diabetes covariates - General Acute Inpatient and Day Case - Scottish Morbidity Record (SMR01) - National Records of Scotland (NRS) - Deaths Data - NHS Scotland General Practice (GP) Contact Data - Subset - Outpatient Appointments and Attendances - Scottish Morbidity Record (SMR00) - Prescribing Information System (PIS) - Scotland Accident and Emergency - Scottish Stroke Care Audit - WALES: - Annual District Death Daily (ADDD) - Annual District Death Extract (ADDE) - Care Home Dataset (CARE) - Covid Vaccination Dataset (CVVD) - COVID-19 Consolidated Deaths (CDDS) - COVID-19 Shielded People List (CVSP) - COVID-19 Test Results (PATD) - COVID-19 Test Trace and Protect (CTTP) - Legacy - Critical Care Dataset (CCDS) - Emergency Department Dataset (EDDS) - Emergency Department Dataset Daily (EDDD) - Intensive Care National Audit and Research Centre (ICCD) - Legacy - COVID only - Intensive Care National Audit and Research Centre (ICNC) - Outpatient Database for Wales (OPDW) - Outpatient Referral (OPRD) - Patient Episode Dataset for Wales (PEDW) - Referral to Treatment Times (RTTD) - Welsh Ambulance Services NHS Trust (WASD) - Welsh Demographic Service Dataset (WDSD) - Welsh Dispensing Dataset (WDDS) - Legacy - Welsh Longitudinal General Practice Dataset (WLGP) - Welsh Primary Care - Welsh Longitudinal GP Dataset - Welsh Primary Care (Daily COVID codes only) (GPCD) - Welsh Results Reports Service (WRRS)
Latest approval date
30/10/2020
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE
Safe Outputs
Link to research outputs