Long-term neurological manifestations of COVID-19: prevalence and predictive factors

ABSTRACT Background Clinical investigations have argued for long-term neurological manifestations in both hospitalized and non-hospitalized COVID-19 patients. It is unclear whether long-term neurological symptoms and features depend on COVID-19 severity.Methods from a sample of 208 consecutive non-neurological patients hospitalized for COVID-19 disease, 165 survivors were re-assessed at 6 months according to a structured standardized clinical protocol. Prevalence and predictors of long-term neurological manifestations were evaluated using multivariate logistic regression analyses.Results At 6-month follow-up after hospitalisation due to COVID-19 disease, patients displayed a wide array of symptoms; fatigue (34%), memory/attention (31%), and sleep disorders (30%) were the most frequent. At neurological examination, 40% of patients exhibited neurological abnormalities, such as hyposmia (18.0%), cognitive deficits (17.5%), postural tremor (13.8%) and subtle motor/sensory deficits (7.6%). Older age, premorbid comorbidities and severity of COVID-19 were independent predictors of neurological manifestations in logistic regression analyses.Conclusions premorbid vulnerability and severity of SARS-CoV-2 infection impact on prevalence and severity of long-term neurological manifestations..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 25. Mai Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Pilotto, Andrea [VerfasserIn]
Cristillo, Viviana [VerfasserIn]
Piccinelli, Stefano Cotti [VerfasserIn]
Zoppi, Nicola [VerfasserIn]
Bonzi, Giulio [VerfasserIn]
Sattin, Davide [VerfasserIn]
Schiavolin, Silvia [VerfasserIn]
Raggi, Alberto [VerfasserIn]
Canale, Antonio [VerfasserIn]
Gipponi, Stefano [VerfasserIn]
Libri, Ilenia [VerfasserIn]
Frigerio, Martina [VerfasserIn]
Bezzi, Michela [VerfasserIn]
Leonardi, Matilde [VerfasserIn]
Padovani, Alessandro [VerfasserIn]

Links:

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doi:

10.1101/2020.12.27.20248903

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI019658966