Selected article for: "acidic protein and glial GFAP fibrillary acidic protein"

Author: 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
Title: Blood neurofilament light chain and total tau levels at admission predict death in COVID-19 patients
  • Cord-id: goq8e0cx
  • Document date: 2021_5_10
  • ID: goq8e0cx
    Snippet: 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
    Document: 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.

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