Admission Levels of Interleukin 10 and Amyloid ß 1-40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury.
Front Neurol
; 11: 549527, 2020.
Article
em En
| MEDLINE
| ID: mdl-33192979
ABSTRACT
Background:
Blood biomarkers may enhance outcome prediction performance of head computed tomography scores in traumatic brain injury (TBI).Objective:
To investigate whether admission levels of eight different protein biomarkers can improve the outcome prediction performance of the Helsinki computed tomography score (HCTS) without clinical covariates in TBI. Materials andmethods:
Eighty-two patients with computed tomography positive TBIs were included in this study. Plasma levels of ß-amyloid isoforms 1-40 (Aß40) and 1-42 (Aß42), glial fibrillary acidic protein, heart fatty acid-binding protein, interleukin 10 (IL-10), neurofilament light, S100 calcium-binding protein B, and total tau were measured within 24 h from admission. The patients were divided into favorable (Glasgow Outcome Scale-Extended 5-8, n = 49) and unfavorable (Glasgow Outcome Scale-Extended 1-4, n = 33) groups. The outcome was assessed 6-12 months after injury. An optimal predictive panel was investigated with the sensitivity set at 90-100%.Results:
The HCTS alone yielded a sensitivity of 97.0% (95% CI 90.9-100) and specificity of 22.4% (95% CI 10.2-32.7) and partial area under the curve of the receiver operating characteristic of 2.5% (95% CI 1.1-4.7), in discriminating patients with favorable and unfavorable outcomes. The threshold to detect a patient with unfavorable outcome was an HCTS > 1. The three best individually performing biomarkers in outcome prediction were Aß40, Aß42, and neurofilament light. The optimal panel included IL-10, Aß40, and the HCTS reaching a partial area under the curve of the receiver operating characteristic of 3.4% (95% CI 1.7-6.2) with a sensitivity of 90.9% (95% CI 81.8-100) and specificity of 59.2% (95% CI 40.8-69.4).Conclusion:
Admission plasma levels of IL-10 and Aß40 significantly improve the prognostication ability of the HCTS after TBI.
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Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article