lancet-header

Preprints with The Lancet is a collaboration between The Lancet Group of journals and SSRN to facilitate the open sharing of preprints for early engagement, community comment, and collaboration. Preprints available here are not Lancet publications or necessarily under review with a Lancet journal. These preprints are early-stage research papers that have not been peer-reviewed. The usual SSRN checks and a Lancet-specific check for appropriateness and transparency have been applied. The findings should not be used for clinical or public health decision-making or presented without highlighting these facts. For more information, please see the FAQs.

Association of COVID-19 and Influenza Vaccinations and Cardiovascular Pharmacotherapy with Hospitalisation and Mortality in People with COVID-19 and Long COVID: 2-Year Follow-Up of Over 17 Million People in England

33 Pages Posted: 14 Nov 2023

See all articles by Ashkan Dashtban

Ashkan Dashtban

University College London - Institute of Health Informatics

Mehrdad A. Mizani

University College London - Institute of Health Informatics

Laura Pasea

University College London - Institute of Health Informatics

Christopher Tomlinson

University College London - Institute of Health Informatics

Yi Mu

University College London

Nazrul Islam

University of Southampton

Sarah Rafferty

Government of the United Kingdom - Office for National Statistics

Charlotte Warren-Gash

London School of Hygiene & Tropical Medicine - Faculty of Epidemiology and Population Health

Spiros Denaxas

University College London - Institute of Health Informatics

Kim Horstmanshof

University College London

Evan Kontopantelis

The University of Manchester

Steffen E. Petersen

Government of the United Kingdom - Barts Health NHS Trust

Cathie Sudlow

Health Data Research UK

Kamlesh Khunti

University of Leicester - Leicester Diabetes Centre

Amitava Banerjee

University College London - Institute of Health Informatics

CVD-COVID-UK Consortium

Independent

More...

Abstract

Background: Identifying highest-risk subgroups for COVID-19 and Long COVID(LC), particularly in the context of influenza and cardiovascular disease(CVD), may inform policy decisions.

Methods: Using national, linked electronic health records for England(NHS England Secure Data Environment via CVD-COVID-UK/COVID-IMPACT Consortium), we studied individuals(of all ages) with COVID-19 and LC from January 2020 to February 2023. We compared all-cause hospitalisation and mortality in unmatched and matched cohort analyses, by prior CVD, high CVD risk(by QRISK2), COVID-19 and influenza vaccination status, and prescription of CVD prevention therapies. We investigated potential impact of targeted vaccination and CVD prevention strategies on mortality and hospitalisations using population preventable fractions.

Findings: We identified 17,373,850 individuals with COVID-19 [54.4% female; mean age 38.8 years; COVID-19 vaccination ≥2 doses:50.0%, influenza vaccination (≥1 dose):27.8%; mean follow-up 1.28 years] and 301,115 with LC [61.8% female; mean age 46.0 years; COVID-19 vaccination ≥2 doses:66.4%, influenza vaccination:33.1%; mean follow-up 1.1 years]. Hospitalisation and mortality rates were 15.3% and 2.0% in COVID-19 (LC rate 1.3%) and 16.8% and 1.4% in LC, respectively. Adjusted risk of mortality and hospitalisation were reduced with COVID-19 vaccination ≥2 doses (COVID-19: HR 0.36 and 0.69; LC:0.44 and 0.90). With influenza vaccination, mortality was reduced, but not hospitalisation (COVID-19: 0.86 and 1.01, and LC: 0.72, and 1.05). Combined influenza and COVID-19 vaccination was associated with reduced mortality(0.35) and hospitalisation(0.62) in individuals with COVID-19. In LC, it was associated with reduced mortality(0.37) and hospitalisation(0.43). Mortality and hospitalisation were also reduced by CVD prevention in those with CVD e.g. anticoagulants- COVID-19: 0.69 and 0.92; LC: 0.59, and 0.88. COVID-19 vaccination averted 245044 of 321383 and 7586 of 8738 preventable deaths after COVID-19 and LC, respectively.

Interpretation: Prior CVD and high CVD risk are associated with increased hospitalisation and mortality in COVID-19 and LC. Targeted improvement in COVID-19 vaccination and CVD prevention should be priority interventions during pandemics.

Funding: This work was funded by HDR UK (HDRUK2022.0317) and NIHR (COV-LT2-0043). The British Heart Foundation Data Science Centre (grant No SP/19/3/34678, awarded to Health Data Research (HDR) UK) funded co-development (with NHS England) of the Secure Data Environment service for England, provision of linked datasets, data access, user software licences, computational usage, and data management and wrangling support, with additional contributions from the HDR UK Data and Connectivity component of the UK Government Chief Scientific Adviser’s National Core Studies programme to coordinate national COVID-19 priority research. Consortium partner organisations funded the time of contributing data analysts, biostatisticians, epidemiologists, and clinicians.

Declaration of Interest: KK is chair of the ethnicity subgroup of the UK Scientific Advisory Group for Emergencies (SAGE) and is a member of SAGE. KK (Chair) and AB are members of the LC Research Group that reports to the Chief Medical Officer for England. All other authors declare no competing interests.

Ethical Approval: Data were accessed in NHS England’s Secure Data Environment (SDE) service for England and made available via the British Heart Foundation (BHF) Data Science Centre’s CVD-COVID-UK/COVID- IMPACT Consortium, as previously published with ethical approval by the North East- Newcastle and North Tyneside 2 research ethics committee (REC No 20/NE/0161)(17,18).

Keywords: COVID-19, Long COVID, cardiovascular disease, vaccination, high-risk

Suggested Citation

Dashtban, Ashkan and Mizani, Mehrdad A. and Pasea, Laura and Tomlinson, Christopher and Mu, Yi and Islam, Nazrul and Rafferty, Sarah and Warren-Gash, Charlotte and Denaxas, Spiros and Horstmanshof, Kim and Kontopantelis, Evan and Petersen, Steffen E. and Sudlow, Cathie and Khunti, Kamlesh and Banerjee, Amitava and Consortium, CVD-COVID-UK, Association of COVID-19 and Influenza Vaccinations and Cardiovascular Pharmacotherapy with Hospitalisation and Mortality in People with COVID-19 and Long COVID: 2-Year Follow-Up of Over 17 Million People in England. Available at SSRN: https://ssrn.com/abstract=4629342 or http://dx.doi.org/10.2139/ssrn.4629342

Ashkan Dashtban

University College London - Institute of Health Informatics ( email )

United Kingdom

Mehrdad A. Mizani

University College London - Institute of Health Informatics ( email )

United Kingdom

Laura Pasea

University College London - Institute of Health Informatics ( email )

United Kingdom

Christopher Tomlinson

University College London - Institute of Health Informatics ( email )

United Kingdom

Yi Mu

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Nazrul Islam

University of Southampton ( email )

Sarah Rafferty

Government of the United Kingdom - Office for National Statistics ( email )

London, SW1A 2AA
United Kingdom

Charlotte Warren-Gash

London School of Hygiene & Tropical Medicine - Faculty of Epidemiology and Population Health ( email )

Spiros Denaxas

University College London - Institute of Health Informatics ( email )

United Kingdom

Kim Horstmanshof

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Evan Kontopantelis

The University of Manchester ( email )

United Kingdom

Steffen E. Petersen

Government of the United Kingdom - Barts Health NHS Trust ( email )

Cathie Sudlow

Health Data Research UK ( email )

Kamlesh Khunti

University of Leicester - Leicester Diabetes Centre ( email )

Leicester
United Kingdom

Amitava Banerjee (Contact Author)

University College London - Institute of Health Informatics

United Kingdom

Click here to go to TheLancet.com

Paper statistics

Downloads
105
Abstract Views
705
PlumX Metrics