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Neurological diseases and COVID-19: prospective analyses using the UK Biobank
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 w...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098789/ https://www.ncbi.nlm.nih.gov/pubmed/33954931 http://dx.doi.org/10.1007/s13760-021-01693-3 |
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author | Veronese, Nicola Smith, Lee Barbagallo, Mario Giannelli, Gianluigi Caruso, Maria Gabriella Cisternino, Anna Maria Notarnicola, Maria Cao, Chao Waldhoer, Thomas Yang, Lin |
author_facet | Veronese, Nicola Smith, Lee Barbagallo, Mario Giannelli, Gianluigi Caruso, Maria Gabriella Cisternino, Anna Maria Notarnicola, Maria Cao, Chao Waldhoer, Thomas Yang, Lin |
author_sort | Veronese, Nicola |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13760-021-01693-3. |
format | Online Article Text |
id | pubmed-8098789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80987892021-05-06 Neurological diseases and COVID-19: prospective analyses using the UK Biobank Veronese, Nicola Smith, Lee Barbagallo, Mario Giannelli, Gianluigi Caruso, Maria Gabriella Cisternino, Anna Maria Notarnicola, Maria Cao, Chao Waldhoer, Thomas Yang, Lin Acta Neurol Belg Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13760-021-01693-3. Springer International Publishing 2021-05-05 2021 /pmc/articles/PMC8098789/ /pubmed/33954931 http://dx.doi.org/10.1007/s13760-021-01693-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Veronese, Nicola Smith, Lee Barbagallo, Mario Giannelli, Gianluigi Caruso, Maria Gabriella Cisternino, Anna Maria Notarnicola, Maria Cao, Chao Waldhoer, Thomas Yang, Lin Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title | Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title_full | Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title_fullStr | Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title_full_unstemmed | Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title_short | Neurological diseases and COVID-19: prospective analyses using the UK Biobank |
title_sort | neurological diseases and covid-19: prospective analyses using the uk biobank |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098789/ https://www.ncbi.nlm.nih.gov/pubmed/33954931 http://dx.doi.org/10.1007/s13760-021-01693-3 |
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