Study of mutl-ethnic diabetic patients with COVID19 infection Vers1.0 [COVID-19]
Research type
Research Study
Full title
Outcome of COVID-19 infection among a multi-ethnic community of patients with Diabetes Mellitus – a retrospective cohort analyses of data from in-patient episodes.
IRAS ID
284293
Contact name
Ansu Basu
Contact email
Sponsor organisation
SWB NHS Trust
Duration of Study in the UK
0 years, 3 months, 30 days
Research summary
Since December 2019, COVID-19 or coronavirus infectious disease of 2019 has spread rapidly across the globe. In the UK as of May 2020, over 30,000 individuals have sadly died. There has been increasing concerns that the individuals from Black, Asian and minority ethnic (BAME) communities may have been worst affected. There have also been reports that individuals with diabetes, heart disease and high blood pressure are at a higher risk of having severe infection and dying from the disease.\nBirmingham has a large multi-ethnic community. Sandwell and West Birmingham NHS Trust serves an inner-city multi-ethnic population. There is a high prevalence of diabetes and chronic diseases. The hospital has been actively involved in the care of COVID-19 patients during the current pandemic.\nThe proposed study will analyze data from patients that have been admitted to hospital and their clinical information is already held within the hospital information systems. We wish to analyze our local data with respect to in-hospital mortality stratified according to ethnicity. Initial analyses will focus on baseline variables separated into two groups: those who survived and those who did not. Additional analyses will be undertaken comparing diabetic and non-diabetic patients. These baseline variables will include age, gender ethnicity, co-morbidities and blood test results (hematological and biochemical). Further analyses will identify whether the BAME communities were particularly at higher risk and whether diabetes, high blood and chronic diseases contributed to this risk. In particular, we will use a statistical method called time-to-event or survival analysis to explore these differences. The event of interest in this case is death. The results from this analysis will allow us to identify high-risk groups so that should there be a second wave of infection, we may be better equipped to offer focused care to such patients with greater clinical risk. [Study relying on COPI notice]
REC name
South Central - Oxford A Research Ethics Committee
REC reference
20/SC/0248
Date of REC Opinion
8 Jun 2020
REC opinion
Favourable Opinion