Author: Pilotto, Andrea; Cristillo, Viviana; Cotti Piccinelli, Stefano; Zoppi, Nicola; Bonzi, Giulio; Sattin, Davide; Schiavolin, Silvia; Raggi, Alberto; Canale, Antonio; Gipponi, Stefano; Libri, Ilenia; Frigerio, Martina; Bezzi, Michela; Leonardi, Matilde; Padovani, Alessandro
Title: Long-term neurological manifestations of COVID-19: prevalence and predictive factors Cord-id: p6ggawjf Document date: 2021_9_15
ID: p6ggawjf
Snippet: BACKGROUND: Clinical investigations have argued for long-term neurological manifestations in both hospitalised and non-hospitalised 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 hospitalised for COVID-19 disease, 165 survivors were re-assessed at 6 months according to a structured standardised clinical protocol. Prevalence and predictors of long-term neurologic
Document: BACKGROUND: Clinical investigations have argued for long-term neurological manifestations in both hospitalised and non-hospitalised 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 hospitalised for COVID-19 disease, 165 survivors were re-assessed at 6 months according to a structured standardised 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10072-021-05586-4.
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