Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7–7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7–10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19–25%), cerebrovascular diseases (24%, 13–35%), nontraumatic intracranial hemorrhage (34%, 20–50%), encephalitis and/or myelitis (37%, 17–60%) and myopathy (72%, 67–77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease.

Le, T., Gutierrez-Sacristan, A., Son, J., Hong, C., South, A., Beaulieu-Jones, B., et al. (2021). Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. SCIENTIFIC REPORTS, 11(1) [10.1038/s41598-021-99481-9].

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Zambelli A.;
2021

Abstract

Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7–7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7–10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19–25%), cerebrovascular diseases (24%, 13–35%), nontraumatic intracranial hemorrhage (34%, 20–50%), encephalitis and/or myelitis (37%, 17–60%) and myopathy (72%, 67–77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease.
Articolo in rivista - Articolo scientifico
Adolescent; Adult; Aged; Aged, 80 and over; Child; Child, Preschool; COVID-19; Cross-Sectional Studies; Female; Humans; Infant; Infant, Newborn; Male; Middle Aged; Nervous System Diseases; Pandemics; Prevalence; Severity of Illness Index; Young Adult
English
2021
11
1
20238
open
Le, T., Gutierrez-Sacristan, A., Son, J., Hong, C., South, A., Beaulieu-Jones, B., et al. (2021). Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. SCIENTIFIC REPORTS, 11(1) [10.1038/s41598-021-99481-9].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/526867
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