Imperial College London

ProfessorJenniferQuint

Faculty of MedicineSchool of Public Health

Professor of Respiratory Epidemiology
 
 
 
//

Contact

 

+44 (0)20 7594 8821j.quint

 
 
//

Location

 

.922Sir Michael Uren HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Walker:2021:10.1186/s12889-021-10427-2,
author = {Walker, JL and Grint, DJ and Strongman, H and Eggo, RM and Peppa, M and Minassian, C and Mansfield, KE and Rentsch, CT and Douglas, IJ and Mathur, R and Wong, AYS and Quint, JK and Andrews, N and Bernal, JL and Scott, JA and Ramsay, M and Smeeth, L and McDonald, HI},
doi = {10.1186/s12889-021-10427-2},
journal = {BMC Public Health},
pages = {1--14},
title = {UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records},
url = {http://dx.doi.org/10.1186/s12889-021-10427-2},
volume = {21},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BackgroundCharacterising the size and distribution of the population at risk of severe COVID-19 is vital for effective policy and planning. Older age, and underlying health conditions, are associated with higher risk of death from COVID-19. This study aimed to describe the population at risk of severe COVID-19 due to underlying health conditions across the United Kingdom.MethodsWe used anonymised electronic health records from the Clinical Practice Research Datalink GOLD to estimate the point prevalence on 5 March 2019 of the at-risk population following national guidance. Prevalence for any risk condition and for each individual condition is given overall and stratified by age and region with binomial exact confidence intervals. We repeated the analysis on 5 March 2014 for full regional representation and to describe prevalence of underlying health conditions in pregnancy. We additionally described the population of cancer survivors, and assessed the value of linked secondary care records for ascertaining COVID-19 at-risk status.ResultsOn 5 March 2019, 24.4% of the UK population were at risk due to a record of at least one underlying health condition, including 8.3% of school-aged children, 19.6% of working-aged adults, and 66.2% of individuals aged 70 years or more. 7.1% of the population had multimorbidity. The size of the at-risk population was stable over time comparing 2014 to 2019, despite increases in chronic liver disease and diabetes and decreases in chronic kidney disease and current asthma. Separately, 1.6% of the population had a new diagnosis of cancer in the past 5 y.ConclusionsThe population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countrie
AU - Walker,JL
AU - Grint,DJ
AU - Strongman,H
AU - Eggo,RM
AU - Peppa,M
AU - Minassian,C
AU - Mansfield,KE
AU - Rentsch,CT
AU - Douglas,IJ
AU - Mathur,R
AU - Wong,AYS
AU - Quint,JK
AU - Andrews,N
AU - Bernal,JL
AU - Scott,JA
AU - Ramsay,M
AU - Smeeth,L
AU - McDonald,HI
DO - 10.1186/s12889-021-10427-2
EP - 14
PY - 2021///
SN - 1471-2458
SP - 1
TI - UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records
T2 - BMC Public Health
UR - http://dx.doi.org/10.1186/s12889-021-10427-2
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000628996000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-10427-2
UR - http://hdl.handle.net/10044/1/87705
VL - 21
ER -