These results suggest that determination of serum levels of glial and neuronal proteins may add to the clinical assessment of the primary damage and prediction of outcome after severe traumatic brain injury.

This study confirms that GFAP and S100B levels in serum are adjuncts to the assessment of brain damage after TBI and may enhance prognostication when combined with clinical variables.

Mild traumatic brain injury (mTBI) is a common heterogeneous neurological disorder with a wide range of possible clinical outcomes. Accurate prediction of outcome is desirable for optimal treatment. This study aimed both to identify the demographic, clinical, and computed tomographic (CT) characteristics associated with unfavorable outcome at 6 months after mTBI, and to design a prediction model for application in daily practice. All consecutive mTBI patients (Glasgow Coma Scale [GCS] score: 13-15) admitted to our hospital who were age 16 or older were included during an 8-year period as part of the prospective Radboud University Brain Injury Cohort Study (RUBICS). Outcome was assessed at 6 months post-trauma using the Glasgow Outcome Scale-Extended (GOSE), dichotomized into unfavorable (GOSE score 1-6) and favorable (GOSE score 7-8) outcome groups. The predictive value of several variables was determined using multivariate binary logistic regression analysis. We included 2784 mTBI patients and found CT abnormalities in 20.7% of the 1999 patients that underwent a head CT. Age, extracranial injuries, and day-of-injury alcohol intoxication proved to be the strongest outcome predictors. The presence of facial fractures and the number of hemorrhagic contusions emerged as CT predictors. Furthermore, we showed that the predictive value of a scheme based on a modified Injury Severity Score (ISS), alcohol intoxication, and age equalled the value of one that also included CT characteristics. In fact, it exceeded one that was based on CT characteristics alone. We conclude that, although valuable for the identification of the individual mTBI patient at risk for deterioration and eventual neurosurgical intervention, CT characteristics are imperfect predictors of outcome after mTBI.

Vagus nerve stimulation (VNS) has become an established therapy for difficult-to-treat epilepsy during the past 20 years. The vagus nerve provides a unique entrance to the brain. Electrical stimulation of this structure in the cervical region allows direct modulative access to subcortical brain areas, requiring only minimally invasive surgery with low risks involved. VNS therapy has shown to reduce epileptic seizures both in number and severity in a group of patients not responding to antiepileptic drugs. The effects are accompanied by an atypical set of central side effects. After the success of the VNS therapy with epilepsy, the technique has been applied to a wide variety of disorders, ranging from major depressive disorder to Alzheimer's disease. The results of several of these are promising. In this review, the results as well as the rationale for the different applications of VNS are discussed.

Noninvasive EM image guidance in shunt surgery reduces poor shunt placement, resulting in a significant decrease in the early shunt revision rate.

The dural sealant, a synthetic absorbable hydrogel, is a useful adjunct to achieve watertight dural closure. Application resulted in 100% closure of intraoperative CSF leaks. There are no evident adverse effects.

Intracranial lesion volume and midline shift are powerful outcome predictors in moderate and severe traumatic brain injury (TBI), and therefore they are used in TBI and computed tomography (CT) classification schemes, like the Traumatic Coma Data Bank (TCDB) classification. In this study we aimed to explore the prognostic value of lesion volume and midline shift in moderate and severe TBI as measured from acute cranial CT scans. Also, we wanted to determine interrater reliability for the evaluation of these CT abnormalities. We included all consecutive moderate and severe TBI patients admitted to our hospital who were aged ≥16 years, over an 8-year period, as part of the prospective Radboud University Brain Injury Cohort Study. Six months post-trauma we assessed outcomes using the Glasgow Outcome Scale-Extended (GOS-E). We analyzed 605 patients and found an association of both lesion volume and midline shift with outcome; increases were associated with a higher frequency of patients with an unfavorable outcome or death. A cut-off value, such as that used in the TCDB CT classification (lesion volume 25 mL and midline shift 5 mm), was not found. The average interrater difference in volume measurement was 6.8 mL, and it was 0.2 mm for the determination of degree of shift. Using lesion volume and midline shift as continuous variables in prognostic models might be preferable over the use of threshold values, although an association of these variables with outcome in relation to other CT abnormalities was not tested. The data provided here will be useful for stratification of patients enrolled in clinical trials of neuroprotective therapies.

The objective of this systematic review is to summarize scientific evidence concerning the predictive value of bio-psychosocial risk factors with regard to the outcome after lumbar disc surgery. Medical and psychological databases were used to locate potentially relevant articles, which resulted in the selection of 11 studies. Each of these studies has a prospective design that examined the predictive value of preoperative variables for the outcome of lumbar disc surgery. Results indicated that socio-demographic, clinical, work-related as well as psychological factors predict lumbar disc surgery outcome. Findings showed relatively consistently that a lower level of education, a higher level of preoperative pain, less work satisfaction, a longer duration of sick leave, higher levels of psychological complaints and more passive avoidance coping function as predictors of an unfavourable outcome in terms of pain, disability, work capacity, or a combination of these outcome measures. The results of this review provide preliminary opportunities to select patients at risk for an unfavourable outcome. However, further systematic and methodologically high quality research is required, particularly for those predictors that can be positively influenced by multidisciplinary interventions.