Abstract
Blood biomarkers have been studied to improve the clinical assessment and prognostication of patients with moderate-severe traumatic brain injury (mo/sTBI). To assess their clinical usability, one needs to know of potential factors that might cause outlier values and affect clinical decision making. In a prospective study, we recruited patients with mo/sTBI (n = 85) and measured the blood levels of eight protein brain pathophysiology biomarkers, including glial fibrillary acidic protein (GFAP), S100 calcium-binding protein B (S100B), neurofilament light (Nf-L), heart-Type fatty acid-binding protein (H-FABP), interleukin-10 (IL-10), total tau (T-Tau), amyloid b40 (Ab40) and amyloid b42 (Ab42), within 24 h of admission. Similar analyses were conducted for controls (n = 40) with an acute orthopedic injury without any head trauma. The patients with TBI were divided into subgroups of normal versus abnormal (n = 9/76) head computed tomography (CT) and favorable (Glasgow Outcome Scale Extended [GOSE] 5-8) versus unfavorable (GOSE <5) (n = 38/42, 5 missing) outcome. Outliers were sought individually from all subgroups from and the whole TBI patient population. Biomarker levels outside Q1-1.5 interquartile range (IQR) or Q3 + 1.5 IQR were considered as outliers. The medical records of each outlier patient were reviewed in a team meeting to determine possible reasons for outlier values. A total of 29 patients (34%) combined from all subgroups and 12 patients (30%) among the controls showed outlier values for one or more of the eight biomarkers. Nine patients with TBI and five control patients had outlier values in more than one biomarker (up to 4). All outlier values were > Q3 + 1.5 IQR. A logical explanation was found for almost all cases, except the amyloid proteins. Explanations for outlier values included extremely severe injury, especially for GFAP and S100B. In the case of H-FABP and IL-10, the explanation was extracranial injuries (thoracic injuries for H-FABP and multi-Trauma for IL-10), in some cases these also were associated with abnormally high S100B. Timing of sampling and demographic factors such as age and pre-existing neurological conditions (especially for T-Tau), explained some of the abnormally high values especially for Nf-L. Similar explanations also emerged in controls, where the outlier values were caused especially by pre-existing neurological diseases. To utilize blood-based biomarkers in clinical assessment of mo/sTBI, very severe or fatal TBIs, various extracranial injuries, timing of sampling, and demographic factors such as age and pre-existing systemic or neurological conditions must be taken into consideration. Very high levels seem to be often associated with poor prognosis and mortality (GFAP and S100B).
Original language | English |
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Pages (from-to) | 91-105 |
Journal | Journal of Neurotrauma |
Volume | 41 |
Issue number | 1-2 |
Early online date | 2023 |
DOIs | |
Publication status | Published - 2024 |
Publication type | A1 Journal article-refereed |
Funding
K.B. is supported by the Swedish Research Council (#2017-00915), the Swedish Alzheimer Foundation (#AF-930351, #AF-939721, and #AF-968270), Hjärnfonden, Sweden (#FO2017-0243 and #ALZ2022-0006), the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986 and #ALFGBG-965240), the European Union Joint Program for Neurodegenerative Disorders (JPND2019-466-236), and the Alzheimer's Association 2021 Zenith Award (ZEN-21-848495). I.H. is supported by the Finnish Medical Foundation, the Päivikki and Sakari Sohlberg Foundation, the Paulo Foundation, and the Finnish Cultural Foundation. V.F.N. is supported by a National Institute of Health and Care Research (NIHR) Advanced Fellowship. H.Z. is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2022-01018), the European Union's Horizon Europe research and innovation programme under grant agreement No 101053962, Swedish State Support for Clinical Research (#ALFGBG-71320), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the AD Strategic Fund and the Alzheimer's Association (#ADSF-21-831376-C, #ADSF-21-831381-C, and #ADSF-21-831377-C), the Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2022-0270), the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), the European Union Joint Programme – Neurodegenerative Disease Research (JPND2021-00694), and the UK Dementia Research Institute at UCL (UKDRI-1003). J.P.P. is supported by the Academy of Finland (grant no. 17379) and the Maire Taponen Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funders | Funder number |
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AD Strategic Fund | -21-831376-C, -21-831377-C, -21-831381-C |
County Councils | -715986, -965240 |
European Union Joint Program for Neurodegenerative Disorders | JPND2019-466-236 |
European Union's Horizon Europe research and innovation programme | -71320, 101053962 |
Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden | 2022-0270 |
Swedish government | |
Alzheimer's Association | ZEN-21-848495 |
Alzheimer's Drug Discovery Foundation | 201809-2016862 |
Familjen Erling-Perssons Stiftelse | |
Suomen Lääketieteen Säätiö | |
H2020 Marie Skłodowska-Curie Actions | 860197 |
EU Joint Programme – Neurodegenerative Disease Research | JPND2021-00694 |
National Institute for Health and Care Research | 2022-01018 |
Academy of Finland | 17379 |
Suomen Kulttuurirahasto | |
Päivikki ja Sakari Sohlbergin Säätiö | |
Vetenskapsrådet | 2017-00915 |
Paulon Säätiö | |
Horizon 2020, EU | |
Maire Taposen Säätiö | |
Alzheimerfonden | -939721, -968270, 2022-0006, -930351, 2017-0243 |
UK Dementia Research Institute | UKDRI-1003 |
Olav Thon Stiftelsen |
Keywords
- Blood biomarker
- Diagnostics
- Outcome
- Traumatic brain injury
Publication forum classification
- Publication forum level 2
ASJC Scopus subject areas
- Clinical Neurology