S100B Protein Value in Predicting Brain Death After Head Trauma

Shakeri, Moslem; Ghafari, M; Panahi, F; Mahdkhah, Ata; Foladi, Paria

doi:10.1097/wnq.0b013e3182a2fc6e

Cited by 2 publications

(3 citation statements)

References 39 publications

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“…Given the temporal release of biomarkers after injury and varying kinetics profiles, 4,5,72 the timing of both imaging and biomarker sampling is important when assessing relationships. Significant correlations between S100B and NSE and CT scoring metrics have been demonstrated at subsequent scanning but not at admission 55 and are perhaps reflective of lesion progression and explanatory of variable associations found in this review.…”

Section: Biomarker Concentration and Imaging Classification Systemsmentioning

confidence: 68%

Blood Biomarkers and Structural Imaging Correlations Post-Traumatic Brain Injury: A Systematic Review

et al. 2021

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BACKGROUND:Blood biomarkers are of increasing importance in the diagnosis and assessment of traumatic brain injury (TBI). However, the relationship between them and lesions seen on imaging remains unclear.OBJECTIVE:To perform a systematic review of the relationship between blood biomarkers and intracranial lesion types, intracranial lesion injury patterns, volume/number of intracranial lesions, and imaging classification systems.METHODS:We searched Medical Literature Analysis and Retrieval System Online, Excerpta Medica dataBASE, and Cumulative Index to Nursing and Allied Health Literature from inception to May 2021, and the references of included studies were also screened. Heterogeneity in study design, biomarker types, imaging modalities, and analyses inhibited quantitative analysis, with a qualitative synthesis presented.RESULTS:Fifty-nine papers were included assessing one or more biomarker to imaging comparisons per paper: 30 assessed imaging classifications or injury patterns, 28 assessed lesion type, and 11 assessed lesion volume or number. Biomarker concentrations were associated with the burden of brain injury, as assessed by increasing intracranial lesion volume, increasing numbers of traumatic intracranial lesions, and positive correlations with imaging classification scores. There were inconsistent findings associating different biomarkers with specific imaging phenotypes including diffuse axonal injury, cerebral edema, and intracranial hemorrhage.CONCLUSION:Blood-based biomarker concentrations after TBI are consistently demonstrated to correlate burden of intracranial disease. The relation with specific injury types is unclear suggesting a lack of diagnostic specificity and/or is the result of the complex and heterogeneous nature of TBI.

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Section: Biomarker Concentration and Imaging Classification Systemsmentioning

confidence: 68%

Blood Biomarkers and Structural Imaging Correlations Post-Traumatic Brain Injury: A Systematic Review

et al. 2021

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“…Five studies met this inclusion criterion [13,14,21,22,36]. The optimal threshold in this model was 0.626 μg/L, with a sensitivity of 60% (95%CI 47-71), specificity of 68% (95%CI [75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93][94] and AUC of 68%. The sensitivity in this model at the 0.1 μg/L threshold was 80% (95%CI 71-88) (Fig.…”

Section: S100bmentioning

confidence: 99%

“…The specificity of S100B was relatively low at lower thresholds. This high false positive rate is potentially a consequence of S100B release from extracranial sources-it has been shown to increase in extracranial fractures, independent of neurotrauma [77], and also to rise in association with other non-traumatic neuro-pathologies such as dementia [5]. Its interpretation can also be confounded by demographics with variation in S100B levels across race and age [7].…”

Section: S100bmentioning

confidence: 99%

S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy

et al. 2021

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Biomarkers such as calcium channel binding protein S100 subunit beta (S100B), glial fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase L1 (UCH-L1) and neuron-specific enolase (NSE) have been proposed to aid in screening patients presenting with mild traumatic brain injury (mTBI). As such, we aimed to characterise their accuracy at various thresholds. MEDLINE, SCOPUS and EMBASE were searched, and articles reporting the diagnostic performance of included biomarkers were eligible for inclusion. Risk of bias was assessed using the QUADAS-II criteria. A meta-analysis was performed to assess the predictive value of biomarkers for imaging abnormalities on CT. A total of 2939 citations were identified, and 38 studies were included. Thirty-two studies reported data for S100B. At its conventional threshold of 0.1 μg/L, S100B had a pooled sensitivity of 91% (95%CI 87-94) and a specificity of 30% (95%CI 26-34). The optimal threshold for S100B was 0.72 μg/L, with a sensitivity of 61% (95% CI 50-72) and a specificity of 69% (95% CI 64-74). Nine studies reported data for GFAP. The optimal threshold for GFAP was 626 pg/mL, at which the sensitivity was 71% (95%CI 41-91) and specificity was 71% (95%CI 43-90). Sensitivity of GFAP was maximised at a threshold of 22 pg/mL, which had a sensitivity of 93% (95%CI 73-99) and a specificity of 36% (95%CI 12-68%). Three studies reported data for NSE and two studies for UCH-L1, which precluded meta-analysis. There is evidence to support the use of S100B as a screening tool in mild TBI, and potential advantages to the use of GFAP, which requires further investigation.

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S100B Protein Value in Predicting Brain Death After Head Trauma

Abstract: Background: Protein S100B is a biomarker that reflects brain injury after trauma. In traumatic brain injury definite prediction of outcome of the patients is an important goal. In this regard, our study focuses on the S100B protein value in predicting brain death after head trauma.

Cited by 2 publications

References 39 publications

Blood Biomarkers and Structural Imaging Correlations Post-Traumatic Brain Injury: A Systematic Review

Blood Biomarkers and Structural Imaging Correlations Post-Traumatic Brain Injury: A Systematic Review

S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy

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