Minor head injury in anticoagulated patients: performance of biomarkers S100B, NSE, GFAP, UCH-L1 and Alinity TBI in the detection of intracranial injury. A prospective observational study.

anticoagulated patients glial fibrillary acidic protein (GFAP) minor head injury neuron-specific enolase (NSE) protein S100B ubiquitin C-terminal hydrolase-L1 (UCHL-1)

Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
12 Jan 2024
Historique:
received: 18 10 2023
accepted: 26 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: aheadofprint

Résumé

Data in literature indicate that in patients suffering a minor head injury (MHI), biomarkers serum levels could be effective to predict the absence of intracranial injury (ICI) on head CT scan. Use of these biomarkers in case of patients taking oral anticoagulants who experience MHI is very limited. We investigated biomarkers as predictors of ICI in anticoagulated patients managed in an ED. We conducted a single-cohort, prospective, observational study in an ED. Our structured clinical pathway included a first head CT scan, 24 h observation and a second CT scan. The outcome was delayed ICI (dICI), defined as ICI on the second CT scan after a first negative CT scan. We assessed the sensitivity (SE), specificity (SP), negative predictive value (NNV) and positive predictive value (PPV) of the biomarkers S100B, NSE, GFAP, UCH-L1 and Alinity TBI in order to identify dICI. Our study population was of 234 patients with a negative first CT scan who underwent a second CT scan. The rate of dICI was 4.7 %. The NPV for the detection of dICI were respectively (IC 95 %): S100B 92.7 % (86.0-96.8 %,); ubiquitin C-terminal hydrolase-L1 (UCH-L1) 91.8 % (83.8-96.6 %); glial fibrillary protein (GFP) 100 % (83.2-100 %); TBI 100 % (66.4-100 %). The AUC for the detection of dICI was 0.407 for S100B, 0.563 for neuron-specific enolase (NSE), 0.510 for UCH-L1 and 0.720 for glial fibrillary acidic protein (GFAP), respectively. The NPV of the analyzed biomarkers were high and they potentially could limit the number of head CT scan for detecting dICI in anticoagulated patients suffering MHI. GFAP and Alinity TBI seem to be effective to rule out a dCI, but future trials are needed.

Identifiants

pubmed: 38206121
pii: cclm-2023-1169
doi: 10.1515/cclm-2023-1169
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 Walter de Gruyter GmbH, Berlin/Boston.

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Auteurs

Vincenzo G Menditto (VG)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Marco Moretti (M)

Medicina di Laboratorio, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.

Lucia Babini (L)

Medicina di Laboratorio, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.

Annalisa Mattioli (A)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Andres Ramon Giuliani (AR)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Marina Fratini (M)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Fabienne Yvonne Pallua (FY)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Elisa Andreoli (E)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Cinzia Nitti (C)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Susanna Contucci (S)

Emergency and Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Ancona, Italy.

Armando Gabrielli (A)

Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Ancona, Italy.

Marco Bruno Luigi Rocchi (MBL)

Statistica Medica, Dipartimento di Scienze Biomolecolari, Università di Urbino, Urbino, Italy.

Giovanni Pomponio (G)

Clinica Medica, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.

Classifications MeSH