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Blood neurofilament light chain and total tau levels at admission predict death in COVID-19 patients

BACKGROUND AND AIMS: Patients infected with SARS-CoV-2 range from asymptomatic, to mild, moderate or severe disease evolution including fatal outcome. Thus, early predictors of clinical outcome are highly needed. We investigated markers of neural tissue damage as a possible early sign of multisystem...

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Detalles Bibliográficos
Autores principales: De Lorenzo , Rebecca, Loré, Nicola I., Finardi, Annamaria, Mandelli, Alessandra, Cirillo, Daniela M., Tresoldi, Cristina, Benedetti, Francesco, Ciceri, Fabio, Rovere-Querini, Patrizia, Comi, Giancarlo, Filippi, Massimo, Manfredi, Angelo A., Furlan, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108733/
https://www.ncbi.nlm.nih.gov/pubmed/33973106
http://dx.doi.org/10.1007/s00415-021-10595-6
Descripción
Sumario:BACKGROUND AND AIMS: Patients infected with SARS-CoV-2 range from asymptomatic, to mild, moderate or severe disease evolution including fatal outcome. Thus, early predictors of clinical outcome are highly needed. We investigated markers of neural tissue damage as a possible early sign of multisystem involvement to assess their clinical prognostic value on survival or transfer to intensive care unit (ICU). METHODS: We collected blood from 104 patients infected with SARS-CoV-2 the day of admission to the emergency room and measured blood neurofilament light chair (NfL), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), and total tau protein levels. RESULTS: We found that NfL, GFAP, and tau were significantly increased in patients with fatal outcome, while NfL and UCH-L1 in those needing ICU transfer. ROC and Kaplan–Meier curves indicated that total tau levels at admission accurately predict mortality. CONCLUSIONS: Blood neural markers may provide additional prognostic value to conventional biomarkers used to predict COVID-19 outcome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-021-10595-6.