Outlier Analysis for Acute Blood Biomarkers of Moderate and Severe Traumatic Brain Injury

被引:11
作者
Korhonen, Otto [1 ,2 ,3 ,4 ]
Mononen, Malla [1 ,2 ,3 ,4 ]
Mohammadian, Mehrbod [2 ,3 ,4 ]
Tenovuo, Olli [2 ,3 ,4 ]
Blennow, Kaj [5 ,6 ]
Hossain, Iftakher [1 ,2 ,3 ,4 ,7 ]
Hutchinson, Peter [7 ]
Maanpaa, Henna-Riikka [1 ,2 ,3 ,4 ]
Menon, David K. [8 ]
Newcombe, Virginia F. [8 ]
Sanchez, Jean-Charles [9 ]
Takala, Riikka S. K. [10 ]
Tallus, Jussi [2 ,3 ,4 ,11 ]
van Gils, Mark [12 ]
Zetterberg, Henrik [5 ,6 ,13 ,14 ,15 ,16 ]
Posti, Jussi P. [1 ,2 ,3 ,4 ]
机构
[1] Turku Univ Hosp, Dept Neurosurg, Neuroctr, Turko, Finland
[2] Turku Univ Hosp, Turku Brain Injury Ctr, Turko, Finland
[3] Turku Univ Hosp, Dept Clin Neurosci, Turko, Finland
[4] Univ Turku, Turko, Finland
[5] Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden
[6] Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden
[7] Univ Cambridge, Addenbrookes Hosp, Dept Clin Neurosci, Neurosurg Unit, Cambridge, England
[8] Univ Cambridge, Addenbrookes Hosp, Div Anaesthesia, Cambridge, England
[9] Univ Geneva, Fac Med, Dept Special Internal Med, Geneva, Switzerland
[10] Turku Univ Hosp, Perioperat Serv, Intens Care Med & Pain Management, Turku, Finland
[11] Turku Univ Hosp, Dept Radiol, Turku, Finland
[12] Tampere Univ, Fac Med & Hlth Technol, Tampere, Finland
[13] UCL Inst Neurol, Dept Mol Neurosci, Queen Sq, London, England
[14] UCL, UK Dementia Res Inst, London, England
[15] Hong Kong Ctr Neurodegenerat Dis, Hong Kong, Peoples R China
[16] Univ Wisconsin, Wisconsin Alzheimers Dis Res Ctr, Sch Med & Publ Hlth, Madison, WI USA
基金
芬兰科学院; 欧盟地平线“2020”; 瑞典研究理事会;
关键词
blood biomarker; diagnostics; outcome; traumatic brain injury; FIBRILLARY ACIDIC PROTEIN; C-TERMINAL HYDROLASE-L1; BINDING-PROTEIN; INTERLEUKIN (IL)-10; NEUROFILAMENT LIGHT; S100B; CLASSIFICATION; INCREASES;
D O I
10.1089/neu.2023.0120
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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 beta 40 (A beta 40) and amyloid beta 42 (A beta 42), 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).
引用
收藏
页码:91 / 105
页数:15
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