Veronese, Nicola, Smith, Lee, Barbagallo, Mario, Giannelli, Gianluigi, Caruso, Maria, Cisternino, Anna, Notarnicola, Maria, Cao, Chao, Waldhoer, Thomas and Yang, Lin (2021) Neurological diseases and COVID-19: prospective analyses using the UK Biobank. Acta Neurologica Belgica, 121. pp. 1295-1303. ISSN 2240-2993
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Abstract
COVID-19 (Coronavirus disease-19) may present with neurological signs, but whether people already affected by neurological conditions are at a higher risk of contracting COVID-19 is still not known. We, therefore, aimed to investigate the association of previously diagnosed neurological conditions with COVID-19. 502,536 community-dwelling UK Biobank participants (54.4% male, mean age 56.6 ± 10.3 years) were included. Among these, 57,463 participants had a diagnosis of neurological conditions (11.43%) and a total of 1326 COVID-19-positive cases were identified (0.26%). Neurological conditions were identified through medical history and linkage to data on hospital admissions (ICD-10 code G00-G99). COVID-19 presence was diagnosed using the data provided by Public Health England. The association of previous diagnosis of neurological conditions with COVID-19 was evaluated through logistic regressions, adjusted for potential confounders, reported as odds ratios (ORs) with their 95% confidence intervals (CIs). Nerve, nerve root and plexus disorders (G50-G59) were the most common conditions identified. The presence of COVID-19 was almost doubled in neurological conditions compared to the general population (0.45 vs. 0.24%, p < 0.0001). Previously diagnosed neurological conditions were associated with 60% higher odds of COVID-19 positive in the multivariable-adjusted model (OR = 1.6, 95% CI 1.4-1.8). Other degenerative diseases of the nervous system, extrapyramidal and movement disorders, polyneuropathies and other disorders of the peripheral nervous system, cerebral palsy and other paralytic syndromes were significantly associated with a higher odds of COVID-19. The presence of neurological conditions was associated with a significantly higher likelihood of COVID-19 compared to the general population.
Item Type: | Journal Article |
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Keywords: | COVID-19, Neurological Disease, UK Biobank |
Faculty: | COVID-19 Research Collection Faculty of Science & Engineering |
SWORD Depositor: | Symplectic User |
Depositing User: | Symplectic User |
Date Deposited: | 26 Apr 2021 10:45 |
Last Modified: | 08 Jun 2022 14:27 |
URI: | https://arro.anglia.ac.uk/id/eprint/706521 |
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