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Patterns of multimorbidity and risk of severe SARS-CoV-2 infection: an observational study in the U.K.

Published version
Peer-reviewed

Type

Article

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Authors

Chudasama, Yogini V  ORCID logo  https://orcid.org/0000-0002-6777-0064
Zaccardi, Francesco 
Gillies, Clare L 
Razieh, Cameron 
Yates, Thomas 

Abstract

BACKGROUND: Pre-existing comorbidities have been linked to SARS-CoV-2 infection but evidence is sparse on the importance and pattern of multimorbidity (2 or more conditions) and severity of infection indicated by hospitalisation or mortality. We aimed to use a multimorbidity index developed specifically for COVID-19 to investigate the association between multimorbidity and risk of severe SARS-CoV-2 infection. METHODS: We used data from the UK Biobank linked to laboratory confirmed test results for SARS-CoV-2 infection and mortality data from Public Health England between March 16 and July 26, 2020. By reviewing the current literature on COVID-19 we derived a multimorbidity index including: (1) angina; (2) asthma; (3) atrial fibrillation; (4) cancer; (5) chronic kidney disease; (6) chronic obstructive pulmonary disease; (7) diabetes mellitus; (8) heart failure; (9) hypertension; (10) myocardial infarction; (11) peripheral vascular disease; (12) stroke. Adjusted logistic regression models were used to assess the association between multimorbidity and risk of severe SARS-CoV-2 infection (hospitalisation/death). Potential effect modifiers of the association were assessed: age, sex, ethnicity, deprivation, smoking status, body mass index, air pollution, 25-hydroxyvitamin D, cardiorespiratory fitness, high sensitivity C-reactive protein. RESULTS: Among 360,283 participants, the median age was 68 [range 48-85] years, most were White (94.5%), and 1706 had severe SARS-CoV-2 infection. The prevalence of multimorbidity was more than double in those with severe SARS-CoV-2 infection (25%) compared to those without (11%), and clusters of several multimorbidities were more common in those with severe SARS-CoV-2 infection. The most common clusters with severe SARS-CoV-2 infection were stroke with hypertension (79% of those with stroke had hypertension); diabetes and hypertension (72%); and chronic kidney disease and hypertension (68%). Multimorbidity was independently associated with a greater risk of severe SARS-CoV-2 infection (adjusted odds ratio 1.91 [95% confidence interval 1.70, 2.15] compared to no multimorbidity). The risk remained consistent across potential effect modifiers, except for greater risk among older age. The highest risk of severe infection was strongly evidenced in those with CKD and diabetes (4.93 [95% CI 3.36, 7.22]). CONCLUSION: The multimorbidity index may help identify individuals at higher risk for severe COVID-19 outcomes and provide guidance for tailoring effective treatment.

Description

Keywords

COVID-19, Hospitalisation, Mortality, Multimorbidity, Pattern, Risk factors, SARS-CoV-2 infection, Aged, Aged, 80 and over, COVID-19, Hospitalization, Humans, Middle Aged, Multimorbidity, Risk Factors, SARS-CoV-2

Journal Title

BMC Infect Dis

Conference Name

Journal ISSN

1471-2334
1471-2334

Volume Title

21

Publisher

Springer Science and Business Media LLC
Sponsorship
Medical Research Council (MC_UU_12015/5)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
MRC (MC_UU_00006/3)
National Institute for Health and Care Research (IS-BRC-1215-20014)
Department of Health (via National Institute for Health Research (NIHR)) (NIHR202397)