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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.
  • Veronese N; Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy. nicola.veronese@unipa.it.
  • Smith L; The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
  • Barbagallo M; Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy.
  • Giannelli G; National Institute of Gastroenterology "S. de Bellis", Research Hospital, Castellana Grotte, Italy.
  • Caruso MG; National Institute of Gastroenterology "S. de Bellis", Research Hospital, Castellana Grotte, Italy.
  • Cisternino AM; National Institute of Gastroenterology "S. de Bellis", Research Hospital, Castellana Grotte, Italy.
  • Notarnicola M; National Institute of Gastroenterology "S. de Bellis", Research Hospital, Castellana Grotte, Italy.
  • Cao C; Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA.
  • Waldhoer T; Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO, USA.
  • Yang L; Department of Epidemiology, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
Acta Neurol Belg ; 121(5): 1295-1303, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1217494
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nervous System Diseases Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Acta Neurol Belg Year: 2021 Document Type: Article Affiliation country: S13760-021-01693-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nervous System Diseases Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Acta Neurol Belg Year: 2021 Document Type: Article Affiliation country: S13760-021-01693-3