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
| dc.contributor.author | Posti JP | |
| dc.contributor.author | Takala RSK | |
| dc.contributor.author | Raj R | |
| dc.contributor.author | Luoto TM | |
| dc.contributor.author | Azurmendi L | |
| dc.contributor.author | Lagerstedt L | |
| dc.contributor.author | Mohammadian M | |
| dc.contributor.author | Hossain I | |
| dc.contributor.author | Gill J | |
| dc.contributor.author | Frantzén J | |
| dc.contributor.author | van Gils M | |
| dc.contributor.author | Hutchinson PJ | |
| dc.contributor.author | Katila AJ | |
| dc.contributor.author | Koivikko P | |
| dc.contributor.author | Maanpää HR | |
| dc.contributor.author | Menon DK | |
| dc.contributor.author | Newcombe VF | |
| dc.contributor.author | Tallus J | |
| dc.contributor.author | Blennow K | |
| dc.contributor.author | Tenovuo O | |
| dc.contributor.author | Zetterberg H | |
| dc.contributor.author | Sanchez JC. | |
| dc.contributor.organization | fi=anestesiologia ja tehohoito|en=Anaesthesiology, Intensive Care| | |
| dc.contributor.organization | fi=kliininen laitos|en=Department of Clinical Medicine| | |
| dc.contributor.organization | fi=kliiniset neurotieteet|en=Clinical Neurosciences| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.61334543354 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.74845969893 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.82197219338 | |
| dc.contributor.organization-code | 2607300 | |
| dc.converis.publication-id | 50026077 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/50026077 | |
| dc.date.accessioned | 2022-10-28T13:44:50Z | |
| dc.date.available | 2022-10-28T13:44:50Z | |
| dc.description.abstract | <p><strong>Background:</strong> Blood biomarkers may enhance outcome prediction performance of head computed tomography scores in traumatic brain injury (TBI).</p><p><strong>Objective:</strong> 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.</p><p><strong>Materials and methods:</strong> 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, <i>n</i> = 49) and unfavorable (Glasgow Outcome Scale—Extended 1–4, <i>n</i> = 33) groups. The outcome was assessed 6–12 months after injury. An optimal predictive panel was investigated with the sensitivity set at 90–100%.</p><p><strong>Results:</strong> 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).</p><p><strong>Conclusion:</strong> Admission plasma levels of IL-10 and Aβ40 significantly improve the prognostication ability of the HCTS after TBI.</p> | |
| dc.identifier.jour-issn | 1664-2295 | |
| dc.identifier.olddbid | 184044 | |
| dc.identifier.oldhandle | 10024/167138 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/45424 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042823292 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Posti, Jussi | |
| dc.okm.affiliatedauthor | Takala, Riikka | |
| dc.okm.affiliatedauthor | Mohammadian, Mehrbod | |
| dc.okm.affiliatedauthor | Hossain, Iftakher | |
| dc.okm.affiliatedauthor | Frantzen, Janek | |
| dc.okm.affiliatedauthor | Katila, Ari | |
| dc.okm.affiliatedauthor | Koivikko, Pia | |
| dc.okm.affiliatedauthor | Maanpää, Henna-Riikka | |
| dc.okm.affiliatedauthor | Tallus, Jussi | |
| dc.okm.affiliatedauthor | Tenovuo, Olli | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.discipline | 3124 Neurology and psychiatry | en_GB |
| dc.okm.discipline | 3124 Neurologia ja psykiatria | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher.country | Switzerland | en_GB |
| dc.publisher.country | Sveitsi | fi_FI |
| dc.publisher.country-code | CH | |
| dc.relation.doi | 10.3389/fneur.2020.549527 | |
| dc.relation.ispartofjournal | Frontiers in Neurology | |
| dc.relation.volume | 11 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/167138 | |
| dc.title | 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 | |
| dc.year.issued | 2020 |
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