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 (Corresponding Author), Riikka S.K. Takala, Rahul Raj, Teemu M. Luoto, Leire Azurmendi, Linnéa Lagerstedt, Mehrbod Mohammadian, 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, Olli TenovuoHenrik Zetterberg, Jean Charles Sanchez

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)
    4 Downloads (Pure)

    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 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.

    Original languageEnglish
    Article number549527
    JournalFrontiers in Neurology
    Volume11
    DOIs
    Publication statusPublished - 30 Oct 2020
    MoE publication typeA1 Journal article-refereed

    Keywords

    • beta amyloid 1–40
    • biomarkers
    • Helsinki CT score
    • interleukin 10 (IL10)
    • outcome prediction
    • panel analysis
    • traumatic brain injury

    Fingerprint Dive into the research topics of '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'. Together they form a unique fingerprint.

    Cite this