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Neurological implications of COVID-19-results of the LEOSS registry
European Journal of Neurology ; 28(SUPPL 1):102, 2021.
Article in English | EMBASE | ID: covidwho-1307707
ABSTRACT
Background and

aims:

Register studies and cohort analyses of clinical data are essential to study neurological manifestations of COVID-19 at a large scale.

Methods:

We analyzed neurological manifestations in COVID-19 patients, diagnosed before Aug 25th 2020, and registered in the European multinational LEOSS registry.

Results:

Of the 3127 COVID-19 patients, 95.2% were hospitalized. In 54.4% at least one neurological symptom, and in 3.3% a new neurological complication occurred. Preexisting neurological comorbidities were reported in 18.1% of the patients. Neurological symptoms were excessive tiredness (27.6%), headache (15.3%), nausea/emesis (14.0%), muscular weakness (13.2%), smell (6.9%), taste disorder (8.3%) and delirium (6.3%). Intracerebral bleeding occurred in 1.2%, ischemic stroke in 0.5%, and meningitis/ encephalitis in 0.4%. Overall, the death rate was 17.5%. It was higher in patients with the following neurological comorbidities dementia 38.0%, movement disorders 32.8%, and prior cerebrovascular disease 32.3%. A multivariable logistic regression model found age (OR 1.53), cardiovascular diseases (OR 1.74), muscle weakness (OR 1.40), pulmonary diseases (1.49) and male gender (OR 1.52) to be associated with a significantly increased risk for a critical COVID-19 disease course, failed recovery, and death.

Conclusion:

The neurological manifestations revealed in COVID-19 patients of this study are mostly in agreement with previously published data. Several neurological conditions, such as prior cerebrovascular diseases or dementia appeared to be associated with a higher risk in unadjusted analyses, which was not confirmed in a multivariable analysis adjusting for confounding variables such as age and sex. These findings contrast previously published studies and stress the importance of considering putative confounds in medical statistics carefully.

Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Journal of Neurology Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Journal of Neurology Year: 2021 Document Type: Article