Frontiers in Neurology (Oct 2020)

Admission Levels of Interleukin 10 and Amyloid β 1–40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury

  • Jussi P. Posti,
  • Riikka S. K. Takala,
  • Rahul Raj,
  • Teemu M. Luoto,
  • Leire Azurmendi,
  • Linnéa Lagerstedt,
  • Mehrbod Mohammadian,
  • Iftakher Hossain,
  • Iftakher Hossain,
  • Jessica Gill,
  • Janek Frantzén,
  • Mark van Gils,
  • Peter J. Hutchinson,
  • Ari J. Katila,
  • Pia Koivikko,
  • Henna-Riikka Maanpää,
  • David K. Menon,
  • Virginia F. Newcombe,
  • Jussi Tallus,
  • Kaj Blennow,
  • Kaj Blennow,
  • Olli Tenovuo,
  • Henrik Zetterberg,
  • Henrik Zetterberg,
  • Henrik Zetterberg,
  • Henrik Zetterberg,
  • Jean-Charles Sanchez

DOI
https://doi.org/10.3389/fneur.2020.549527
Journal volume & issue
Vol. 11

Abstract

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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 and methods: Eighty-two patients with computed tomography positive TBIs were included in this study. Plasma levels of β-amyloid isoforms 1–40 (Aβ40) and 1–42 (Aβ42), 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 Aβ40, Aβ42, and neurofilament light. The optimal panel included IL-10, Aβ40, 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 Aβ40 significantly improve the prognostication ability of the HCTS after TBI.

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