Midline shift in relation to thickness of traumatic acute subdural hematoma predicts mortality

Comparative efficacy of craniotomy versus craniectomy in surgical management of acute subdural hematoma: A systematic review and meta-analysis

INTRODUCTION

Acute subdural hematoma (ASDH), a predominantly lethal neurosurgical emergency in the settings of traumatic brain injury, requires surgical evacuation of hematoma, via craniotomy or craniectomy. The clinical practices vary, with no consensus over the superiority of either procedure.

AIM

To evaluate whether craniotomy or craniectomy is the optimal approach for surgical evacuation of ASDH.

METHODS

After a comprehensive search of PubMed, Google Scholar, Scopus, and Cochrane Central Register of Controlled Trials (CENTRAL) up to January 2024, to identify relevant studies, a meta-analysis was performed using a random-effects model, and risk ratios were calculated with 95% confidence intervals (CIs). For quality assessment, the Cochrane risk of bias tool and Newcastle-Ottawa Scale were applied.

RESULTS

Out of 2143 potentially relevant studies, 1875 were deemed suitable for screening. Eighteen studies were included in the systematic review. Thirteen studies, in which 1589 patients underwent craniotomy and 1452 patients underwent craniectomy, allowed meta-analysis. Pooled estimates showed that there was no significant correlation of mortality at 6 months (RR 1.14;95 % CI; 0.94-1.38 P = 0.18) and 12 months (RR 1.17; 95 % CI; 0.84-1.63 P = 0.36) with the two surgical modalities. A positive association was observed between improved functional outcomes at 6-months and craniotomy (RR 0.76; 95 % CI; 0.62-0.93 P = 0.008), however, no significant difference was observed between the two treatment groups at 12 months follow-up (RR 0.89; 95 % CI; 0.72-1.09 P = 0.26). Craniotomy reported a significantly higher proportion of patients discharged to home (RR 0.63; 95 % CI; 0.49-0.83 P = 0.0007), whereas incidence of residual subdural hematoma was significantly lower in the craniectomy group (RR 0.70; 95 % CI; 0.52-0.94 P = 0.02).

CONCLUSION

Craniectomy is associated with poor clinical outcomes. However, with long-term follow-up, no difference in mortality and functional outcomes is observed in either of the patient populations. On account of equivocal evidence regarding the efficacy of craniectomy over craniotomy in the realm of long-term outcomes, utmost preference shall be directed toward craniotomy as it is less invasive and associated with fewer complications.

Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis

OBJECTIVE

Decision for intervention in acute subdural hematoma patients is based on a combination of clinical and radiographic factors. Age has been suggested as a factor to be strongly considered when interpreting midline shift (MLS) and hematoma volume data for assessing critical clinical severity during operative intervention decisions for acute subdural hematoma patients. The objective of this study was to demonstrate the use of an automated volumetric analysis tool to measure hematoma volume and MLS and quantify their relationship with age.

METHODS

A total of 1789 acute subdural hematoma patients were analyzed using qER-Quant software (Qure.ai, Mumbai, India) for MLS and hematoma volume measurements. Univariable and multivariable regressions analyzed association between MLS, hematoma volume, age, and MLS:hematoma volume ratio.

RESULTS

In comparison to young patients (≤ 70 years), old patients (>70 years) had significantly higher average hematoma volume (old: 62.2 mL vs. young 46.8 mL, P < 0.0001), lower average MLS (old: 6.6 mm vs. young: 7.4 mm, P = 0.025), and lower average MLS:hematoma volume ratio (old: 0.11 mm/mL vs. young 0.15 mm/mL, P < 0.0001). Young patients had an average of 1.5 mm greater MLS for a given hematoma volume in comparison to old patients. With increasing age, the ratio between MLS and hematoma volume significantly decreases (P = 0.0002).

CONCLUSIONS

Commercially available, automated, artificial intelligence (AI)-based tools may be used for obtaining quantitative radiographic measurement data in patients with acute subdural hematoma. Our quantitative results are consistent with the qualitative relationship previously established between age, hematoma volume, and MLS, which supports the validity of using AI-based tools for acute subdural hematoma volume estimation.

Simulating Cerebral Edema and Ischemia After Traumatic Acute Subdural Hematoma Using Triphasic Swelling Biomechanics

Poor outcome following traumatic acute subdural hematoma (ASDH) is associated with the severity of the primary injury and secondary injury including cerebral edema and ischemia. However, the underlying secondary injury mechanism contributing to elevated intracranial pressure (ICP) and high mortality rate remains unclear. Cerebral edema occurs in response to the exposure of the intracellular fixed charge density (FCD) after cell death, causing ICP to increase. The increased ICP from swollen tissue compresses blood vessels in adjacent tissue, restricting blood flow and leading to ischemic damage. We hypothesize that the mass occupying effect of ASDH exacerbates the ischemic injury, leading to ICP elevation, which is an indicator of high mortality rate in the clinic. Using FEBio (febio.org) and triphasic swelling biomechanics, this study modeled clinically relevant ASDHs and simulated post-traumatic brain swelling and ischemia to predict ICP. Results showed that common convexity ASDH significantly increased ICP by exacerbating ischemic injury, and surgical removal of the convexity ASDH may control ICP by preventing ischemia progression. However, in cases where the primary injury is very severe, surgical intervention alone may not effectively decrease ICP, as the contribution of the hematoma to the elevated ICP is insignificant. In addition, interhemispheric ASDH, located between the cerebral hemispheres, does not significantly exacerbate ischemia, supporting the conservative surgical management generally recommended for interhemispheric ASDH. The joint effect of the mass occupying effect of the blood clot and resulting ischemia contributes to elevated ICP which may increase mortality. Our novel approach may improve the fidelity of predicting patient outcome after motor vehicle crashes and traumatic brain injuries due to other causes.

The Significance of Cross-Sectional Shape Accuracy and Non-Linear Elasticity on the Numerical Modelling of Cerebral Veins under Tensile Loading

Traumatic brain injury (TBI) is a serious global health issue, leading to serious disabilities. One type of TBI is acute subdural haematoma (ASDH), which occurs when a bridging vein ruptures. Many numerical models of these structures, mainly based on the finite element method, have been developed. However, most rely on linear elasticity (without validation) and others on simplifications at the geometrical level. An example of the latter is the assumption of a regular cylinder with a constant radius, or the geometry of the vein acquired from medical images. Unfortunately, these do not replicate the real conditions of a mechanical tensile test. In this work, the main goal is to evaluate the influence of the vein's geometry in its mechanical behaviour under tensile loading, simulating the real conditions of experimental tests. The second goal is to implement a hyperelastic model of the bridging veins where it would be possible to observe its non-linear elastic behaviour. The results of the developed finite element models were compared to experimental data available in the literature and other models. It was possible to conclude that the geometry of the vein structure influences the tensile stress-strain curve, which means that flattened specimens should be modelled when validating constitutive models for bridging veins. Additionally, the implementation of hyperelastic material models has been verified, highlighting the potential application of the Marlow and reduced polynomial (of fourth and sixth orders) constitutive models.

Outcome and survival of surgically treated acute subdural hematomas and postcraniotomy hematomas - A retrospective cohort study

Background

The morbidity and mortality of acute subdural hematoma (aSDH) remains high. Several factors have been reported to affect the outcome and survival of these patients. In this study, we explored factors potentially associated with the outcome and survival of surgically treated acute subdural hematoma (aSDH), including postcraniotomy hematomas (PCHs).

Methods

This retrospective cohort study was conducted in a single tertiary university hospital between 2008 and 2012 and all aSDH patients that underwent surgical intervention were included. A total of 132 cases were identified for collection of demographics, clinical, laboratory, and imaging data. Univariate and multivariable analyses were performed to assess factors associated with three-month Glasgow Outcome Scale (GOS) and survival at one- and five-year.

Results

In this study, PCH (n = 14, 10.6%) was not associated with a worse outcome according to the 3- month GOS (p = 0.37) or one (p = 0.34) and five-year (p = 0.37) survival. The multivariable analysis showed that the volume of initial hematoma (p = 0.009) and Abbreviated Injury Scale score (p = 0.016) were independent predictors of the three-month GOS. Glasgow Coma Scale (GCS) score (p < 0.001 and p = 0.037) and age (p = 0.048 and p = 0.003) were predictors for one and five-year survival, while use of antiplatelet drug (p = 0.030), neuroworsening (p = 0.005) and smoking (p = 0.026) were significant factors impacting one year survival. In addition, blood alcohol level on admission was a predictor for five-year survival (p = 0.025).

Conclusions

These elucidations underscore that, although PCHs are pertinent, a comprehensive appreciation of multifarious variables is indispensable in aSDH prognosis. These findings are observational, not causal. Expanded research endeavors are advocated to corroborate these insights.

Prognostic Factors of Mortality and Functional Outcome for Acute Subdural Hematoma: A Review Article

Acute subdural hematoma (ASDH) is the most frequent intracranial traumatic lesion requiring surgery in high-income countries. To date, uncertainty remains regarding the odds of mortality or functional outcome of patients with ASDH, regardless of whether they are operated on. This review aims to shed light on the clinical and radiologic factors associated with ASDH outcome. A scoping review was conducted on Medline database from inception to 2023. This review yielded 41 patient series. In the general population, specific clinical (admission Glasgow Coma Scale [GCS], abnormal pupil exam, time to surgery, decompressive craniectomy, raised postoperative intracranial pressure) and radiologic (ASDH thickness, midline shift, thickness/midline shift ratio, uncal herniation, and brain density difference) factors were associated with mortality (grade III). Other clinical (admission GCS, decompressive craniectomy) and radiologic (ASDH volume, thickness/midline shift ratio, uncal herniation, loss of basal cisterns, petechiae, and brain density difference) factors were associated with functional outcome (grade III). In the elderly, only postoperative GCS and midline shift on brain computed tomography were associated with mortality (grade III). Comorbidities, abnormal pupil examination, postoperative GCS, intensive care unit hospitalization, and midline shift were associated with functional outcome (grade III). Based on these factors, the SHE (Subdural Hematoma in the Elderly) and the RASH (Richmond Acute Subdural Hematoma) scores could be used in daily clinical practice. This review has underlined a few supplementary factors of prognostic interest in patients with ASDH, and highlighted two predictive scores that could be used in clinical practice to guide and assist clinicians in surgical indication.

Novel CT-based parameters assessing relative cross-sectional area to guide surgical management and predict clinical outcomes in patients with acute subdural hematoma

INTRODUCTION

Acute subdural hematoma (aSDH) is one of the most devastating entities secondary to traumatic brain injury (TBI). Even though radiological computed tomography (CT) findings, such as hematoma thickness (HT), midline shift (MLS), and MLS/HT ratio, have an important prognostic role, they suffer from important drawbacks. We hypothesized that relative cross-sectional area (rCSA) of specific brain regions would provide valuable information about brain compression and swelling, thus being a key determining factor governing the clinical course.

METHODS

We performed an 8-year retrospective analysis of patients with moderate to severe TBI with surgically evacuated, isolated, unilateral aSDH. We investigated the influence of aSDH rCSA and ipsilateral hemisphere rCSA along the supratentorial region on the subsequent operative technique employed for aSDH evacuation and patient's clinical outcomes (early death and Glasgow Outcome Scale [GOS] at discharge and after 1-year follow-up). Different conventional radiological variables were also assessed.

RESULTS

The study included 39 patients. Lower HT, MLS, hematoma volume, and aSDH rCSA showed a significant association with decompressive craniectomy (DC) procedure. Conversely, higher ipsilateral hemisphere rCSA along the dorso-ventral axis and, specifically, ipsilateral hemisphere rCSA at the high convexity level were predictors for DC. CT segmentation analysis exhibited a modest relationship with early death, which was limited to the basal supratentorial subregion, but could not predict long-term outcome.

CONCLUSION

rCSA is an objectifiable and reliable radiologic parameter available on admission CT that might provide valuable information to optimize surgical treatment.

Mortality Reduction of Acute Surgery in Traumatic Acute Subdural Hematoma since the 19th Century: Systematic Review and Meta-Analysis with Dramatic Effect: Is Surgery the Obvious Parachute?

The rationale of performing surgery for acute subdural hematoma (ASDH) to reduce mortality is often compared with the self-evident effectiveness of a parachute when skydiving. Nevertheless, it is of clinical relevance to estimate the magnitude of the effectiveness of surgery. The aim of this study is to determine whether surgery reduces mortality in traumatic ASDH compared with initial conservative treatment. A systematic search was performed in the databases IndexCAT, PubMed, Embase, Web of Science, Cochrane library, CENTRAL, Academic Search Premier, Google Scholar, ScienceDirect, and CINAHL for studies investigating ASDH treated conservatively and surgically, without restriction to publication date, describing the mortality. Cohort studies or trials with at least five patients with ASDH, clearly describing surgical, conservative treatment, or both, with the mortality at discharge, reported in English or Dutch, were eligible. The search yielded 2025 reports of which 282 were considered for full-text review. After risk of bias assessment, we included 102 studies comprising 12,287 patients. The data were synthesized using meta-analysis of absolute risks; this was conducted in random-effects models, with dramatic effect estimation in subgroups. Overall mortality in surgically treated ASDH is 48% (95% confidence interval [CI] 44-53%). Mortality after surgery for comatose patients (Glasgow Coma Scale ≤8) is 41% (95% CI 31-51%) in contemporary series (after 2000). Mortality after surgery for non-comatose ASDH is 12% (95% CI 4-23%). Conservative treatment is associated with an overall mortality of 35% (95% CI 22-48%) and 81% (95% CI 56-98%) when restricting to comatose patients. The absolute risk reduction is 40% (95% CI 35-45%), with a number needed to treat of 2.5 (95% CI 2.2-2.9) to prevent one death in comatose ASDH. Thus, surgery is effective to reduce mortality among comatose patients with ASDH. The magnitude of the effect is large, although the effect size may not be sufficient to overcome any bias.

Enhancing medical-imaging artificial intelligence through holistic use of time-tested key imaging and clinical parameters: Future insights

Much of the published literature in Radiology-related Artificial Intelligence (AI) focuses on single tasks, such as identifying the presence or absence or severity of specific lesions. Progress comparable to that achieved for general-purpose computer vision has been hampered by the unavailability of large and diverse radiology datasets containing different types of lesions with possibly multiple kinds of abnormalities in the same image. Also, since a diagnosis is rarely achieved through an image alone, radiology AI must be able to employ diverse strategies that consider all available evidence, not just imaging information. Using key imaging and clinical signs will help improve their accuracy and utility tremendously. Employing strategies that consider all available evidence will be a formidable task; we believe that the combination of human and computer intelligence will be superior to either one alone. Further, unless an AI application is explainable, radiologists will not trust it to be either reliable or bias-free; we discuss some approaches aimed at providing better explanations, as well as regulatory concerns regarding explainability (“transparency”). Finally, we look at federated learning, which allows pooling data from multiple locales while maintaining data privacy to create more generalizable and reliable models, and quantum computing, still prototypical but potentially revolutionary in its computing impact.

Mismatch between midline shift and hematoma thickness as a prognostic factor of mortality in patients sustaining acute subdural hematoma

Background

Acute subdural hematoma (ASDH) is a traumatic lesion commonly found secondary to traumatic brain injury. Radiological findings on CT, such as hematoma thickness (HT) and structures midline shift (MLS), have an important prognostic role in this disease. The relationship between HT and MLS has been rarely studied in the literature. Thus, this study aimed to assess the prognostic accuracy of the difference between MLS and HT for acute outcomes in patients with ASDH in a low-income to middle-income country.

Methods

This was a post-hoc analysis of a prospective cohort study conducted in a university-associated tertiary-level hospital in Brazil. The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis) statement guidelines were followed. The difference values between MLS and HT (Zumkeller index, ZI) were divided into three categories (<0.00, 0.01–3, and >3). Logistic regression analyses were performed to reveal the OR of categorized ZI in predicting primary outcome measures. A Cox regression was also performed and the results were presented through HR. The discriminative ability of three multivariate models including clinical and radiological variables (ZI, Rotterdam score, and Helsinki score) was demonstrated.

Results

A total of 114 patients were included. Logistic regression demonstrated an OR value equal to 8.12 for the ZI >3 category (OR 8.12, 95% CI 1.16 to 40.01; p=0.01), which proved to be an independent predictor of mortality in the adjusted model for surgical intervention, age, and Glasgow Coma Scale (GCS) score. Cox regression analysis demonstrated that this category was associated with 14-day survival (HR 2.92, 95% CI 1.38 to 6.16; p=0.005). A multivariate analysis performed for three models including age and GCS with categorized ZI or Helsinki or Rotterdam score demonstrated area under the receiver operating characteristic curve values of 0.745, 0.767, and 0.808, respectively.

Conclusions

The present study highlights the potential usefulness of the difference between MLS and HT as a prognostic variable in patients with ASDH.

Level of evidence

Level III, epidemiological study.

Reliability of an Automated Computerized Hematoma Volumetric Analysis Protocol in Patients with Chronic Subdural Hemorrhage

BACKGROUND

Hematoma volume in chronic subdural hematoma (CSDH) may predict neurologic deterioration and need for surgical evacuation. Several computer software-assisted methods exist for accurate volume measurements of intracerebral hemorrhage, but no reliable method has been identified for measurement of CSDH volume.

METHODS

A total of 30 consecutive patients with CSDH from 2018-2019 admitted to our institution were selected. The noncontrast computed tomography head studies were reviewed by 2 residents. The region of interest method on a Horos Open Source Medical Image Viewer (version 3.3.6) was utilized for volume measurement by each resident (resident-1 and resident-2) independently. Resident-1 repeated the protocol on the same studies 1 month later. We calculated the intra- and interobserver reliability of hematoma volume measurements using the Bland-Altman method.

RESULTS

Mean age of the patients was 79 years (range, 50-92 years). For interobserver analysis, resident-1 mean hematoma volume was 85.46 cm³ (range, 6.40-178.63 cm³) and was 87.15 cm³ (range, 8.79-165.97 cm³) for resident-2. The Bland-Altman coefficient of variation was 13.15% (range, 0.07%-46.29%, 97% within the limits of acceptance). For intraobserver analysis, the initial average volume measured by resident-1 was 85.46 cm³ (range, 6.40-178.63 cm³) and subsequent was 95.26 cm³ (range, 10.48-182.99 cm³). The Bland-Altman coefficient of variation was 13.76% (range, 0.81%-48.34%, 97% within the limits of acceptance).

CONCLUSIONS

We are reporting inter- and intraobserver reliability for a novel volumetric analysis of CSDH volume using Horos Medical Image Viewer region of interest generated volume calculation. This method is accurate and efficient and could have important clinical and research implications for risk stratification.

Traumatic Epidural and Subdural Hematoma: Epidemiology, Outcome, and Dating

Epidural hematomas (EDHs) and subdural hematomas (SDHs), or so-called extra-axial bleedings, are common clinical entities after a traumatic brain injury (TBI). A forensic pathologist often analyzes cases of traumatic EDHs or SDHs due to road accidents, suicides, homicides, assaults, domestic or on-the-job accidents, and even in a medical responsibility scenario. The aim of this review is to give an overview of the published data in the medical literature, useful to forensic pathologists. We mainly focused on the data from the last 15 years, and considered the most updated protocols and diagnostic-therapeutic tools. This study reviews the epidemiology, outcome, and dating of extra-axial hematomas in the adult population; studies on the controversial interdural hematoma are also included.

A nomogram for estimating intracranial pressure using acute subdural hematoma thickness and midline shift

Although criteria for surgical treatment of acute subdural hematoma (SDH) have been proposed, interaction exists between SDH, midline shift (MLS), and intracranial pressure (ICP). Based on our half sphere finite-element model (FEM) of the supratentorial brain parenchyma, tools for ICP estimation using SDH thickness (SDHx) and MLS were developed. We performed 60 single load step, structural static analyses, simulating a left-sided SDH compressing the cerebral hemispheres. The Young's modulus was taken as 10,000 Pa. The ICP loads ranged from 10 to 80 mmHg with Poisson's ratios between 0.25 and 0.49. The SDHx and the MLS results were stored in a lookup table. An ICP estimation equation was derived from these data and then was converted into a nomogram. Numerical convergence was achieved in 49 model analyses. Their SDHx ranged from 0.79 to 28.3 mm, and the MLS ranged from 1.5 to 16.9 mm. The estimation formula was log(ICP) = 0.614-0.520 log(SDHx) + 1.584 log(MLS). Good correlations were observed between invasive ICP measurements and those estimated from preoperative SDHx and MLS data on images using our model. These tools can be used to estimate ICP noninvasively, providing additional information for selecting the treatment strategy in patients with SDH.

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

OBJECTIVES

We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).

METHODS

This study included TBI patients who were hospitalized in a level 1 trauma center between January 2014 and February 2019. Data were analyzed for all adult patients who received mechanical ventilation following TBI with abbreviated injury severity (AIS) score for the head region of ≥ 3. This study designed three sets of machine learning models: set A defined PMV to be greater than 7 days, set B (PMV > 10 days) and set C (PMV >14 days) to determine the optimal model for deployment. Patients' demographics, injury characteristics and CT findings were used as predictors. Logistic regression (LR), Artificial neural networks (ANN) Support vector machines (SVM), Random Forest (RF) and C.5 Decision Tree (C.5 DT) were used to predict the PMV.

RESULTS

The number of eligible patients that were included in the study were 674, 643 and 622 patients in sets A, B and C respectively. In set A, LR achieved the optimal performance with accuracy 0.75 and Area under the curve (AUC) 0.83. SVM achieved the optimal performance among other models in sets B with accuracy/AUC of 0.79/0.84 respectively. ANNs achieved the optimal performance in set C with accuracy/AUC of 0.76/0.72 respectively. Machine learning models in set B demonstrated more stable performance with higher prediction success and discrimination power.

CONCLUSION

This study not only provides evidence that machine learning methods outperform the traditional multivariate analytical methods, but also provides a perspective to reach a consensual definition of PMV.

Mortality and functional outcome after surgical evacuation of traumatic acute subdural hematomas in octa- and nonagenarians

Purpose

The incidence of acute subdural hematomas (aSDH) is rising. However, beneficial effects of surgery for the oldest aSDH patients remain unclear. We hence describe the postoperative outcome of octa- and nonagenarians with aSDH in comparison to a younger patient cohort.

Methods

Patients aged ≥ 80 years surgically treated for traumatic aSDH at a single institution between 2006 and 2016 were retrospectively reviewed. Clinical and imaging variables were assessed, and univariate analysis was performed to identify factors predicting outcome at discharge. Results were compared to a cohort of younger aSDH patients and statistical analysis was performed. Long-term outcome was prospectively evaluated with the GOSE and QOLIBRI.

Results

27 aSDH patients aged ≥ 80 years were identified. On admission, 41% were in a comatose state and in-hospital mortality was 33%. At discharge, 22% had a favorable outcome (GOS 4 + 5). In univariate statistical analysis, better neurological status (GCS > 8), ≤ 1 comorbidity and smaller aSDH volumes were significant predictors for a favorable outcome. Comparison to 27 younger aSDH patients revealed significant differences in the prevalence of comorbidities and antithrombotics. At long-term follow-up, quality of life of aSDH patients was reduced (median QOLIBRI 54%).

Conclusion

Outcome after surgical treatment of aSDH in octa- and nonagenarians is not detrimental per se. Predictors for a favorable outcome are a non-comatose state on admission (GCS > 8), ≤ 1 preexisting comorbidity and a lower aSDH volume in patients aged ≥ 80 years. In individual patients, surgical evacuation of aSDH might remain a treatment option even in high ages.

Factors Associated with Poor Outcomes in Patients with Mild or Moderate Acute Subdural Hematomas

The factors influencing the outcomes of mild/moderate acute subdural hematoma (ASDH) are still unclear. Retrospective analyses were performed to identify such factors. The medical records of all patients who were admitted to Saiseikai Shiga Hospital with mild (Glasgow Coma Scale [GCS] score of 14–15) or moderate (GCS score of 9–13) ASDH between April 2008 and March 2017 were reviewed. Comparisons between the patients who exhibited favorable and poor outcomes were performed. Then, independent factors that contributed to poor outcomes were identified via logistic regression analyses. A total of 266 patients with a mean age of 70.2 were included in this study. The most common concomitant injuries were subarachnoid hemorrhages (SAHs; 56.8%). The patients’ Injury Severity Scores (ISS) ranged from 16 to 75 (median: 21). The 66 moderate ASDH patients exhibited significantly higher frequencies of surgery and mortality (24.2% and 13.6%, respectively) than the 200 mild ASDH patients (8.0% and 4.5%, respectively). The factors associated with poor outcomes were age (odds ratio [OR]: 1.06) and the ISS (OR: 1.24) in the mild ASDH patients, and older age (OR: 1.09) and the higher ISS (OR: 1.15) in the moderate group, too.

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach

BACKGROUND

The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aimed to build a machine learning predictive model to predict the in-hospital mortality for patients who sustained Traumatic Brain Injury (TBI).

METHODS

Adult patients with TBI who were hospitalized in the level 1 trauma center in the period from January 2014 to February 2019 were included in this study. Patients' demographics, injury characteristics and CT findings were used as predictors. The predictive performance of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) was evaluated in terms of accuracy, Area Under the Curve (AUC), sensitivity, precision, Negative Predictive Value (NPV), specificity and F-score.

RESULTS

A total of 1620 eligible patients were included in the study (1417 survival and 203 non-survivals). Both models achieved accuracy over 91% and AUC over 93%. SVM achieved the optimal performance with accuracy 95.6% and AUC 96%.

CONCLUSIONS

for prediction of mortality in patients with TBI, SVM outperformed the well-known classical models that utilized the conventional multivariate analytical techniques.

Imaging of Brain Trauma

Conventional imaging in the acute setting of brain trauma, relevant pathophysiology of injury, and advanced imaging techniques that may provide value in understanding the immediate management and long-term sequela of traumatic brain injury are reviewed. Key imaging findings that can guide clinical management related to such injuries as concussions, hematomas, dissections, dural atrioventricular fistula, and diffuse axonal injury are discussed. The role and accuracy of computed tomography, dual-energy computed tomography, computed tomography angiography, and magnetic resonance angiography in the acute setting are evaluated. In addition, caveats related to imaging the elderly and pediatric population are addressed.

Predictive Factors of Poor Prognosis After Surgical Management of Traumatic Acute Subdural Hematomas: A Single-Center Series

BACKGROUND

Traumatic acute subdural hematomas (ASDHs) showed the highest mortality of intracranial hematomas. The aim of the current study was to identify predictive factors of poor prognosis among patients who were operated on.

METHODS

This is a single-center retrospective cohort study of 82 patients who underwent surgical evacuation of a traumatic ASDH between January 2009 and December 2016. The epidemiologic, clinical, radiologic, and surgical features were recorded. Postoperative outcome were assessed by the Glasgow Outcome Scale (GOS) score at 6 months. Univariate and multivariate analysis and a classification and regression tree (CART) were performed.

RESULTS

At 6 months, 76% of patients achieved an unfavorable outcome (GOS score 1-3). The context of polytrauma (P = 0.03) and ASDH thickness ≥20 mm (P = 0.02) were significantly associated with poor outcome in the multivariate analysis. The CART algorithm isolated 3 subgroups of patients with an unfavorable prognosis: polytrauma (91%), isolated head injury (HI) featuring an ASDH thickness ≥20 mm (89%), or isolated HI featuring a thickness <20 mm in a patient older than 54 years (71%). Isolated patients with HI younger than 54 years harboring an ASDH <20 mm thick had the most promising results, with 53% with a GOS score of 4 or 5.

CONCLUSIONS

The context of polytrauma, ASDH thickness, and age were major predictive factors of poor prognosis in patients with surgically evacuated traumatic ASDH. The CART algorithm using these features isolated subgroups with decreasingly unfavorable outcome, providing a relevant statistical tool to apply to future studies of traumatic ASDH.

The clinical relevance of ABO blood type in 100 patients with acute subdural hematoma

OBJECTIVE

The correlation of depleted blood through midline shift in acute subdural hematoma remains the most reliable clinical predictor to date. On the other hand, patient's ABO blood type has a profound impact on coagulation and hemostasis. We conducted this study to evaluate the role of patient's blood type in terms of incidence, clinical course and outcome after acute subdural hematoma bleeding.

METHODS

100 patients with acute subdural hematoma treated between 2010 and 2015 at the author's institution were included. Baseline characteristics and clinical findings including Glasgow coma scale, Glasgow outcome scale, hematoma volume, rebleeding, midline shift, postoperative seizures and the presence of anticoagulation were analyzed for their association with ABO blood type.

RESULTS

Patient's with blood type O were found to have a lower midline shift (p<0.01) and significantly less seizures (OR: 0.43; p<0.05) compared to non-O patients. Furthermore, patients with blood type A had the a significantly higher midline shift (p<0.05) and a significantly increased risk for postoperative seizures (OR: 4.01; p<0.001). There was no difference in ABO blood type distribution between acute subdural hematoma patients and the average population.

CONCLUSION

The ABO blood type has significant influence on acute subdural hematoma sequelae. Patient's with blood type O benefit in their clinical course after acute subdural hematoma whereas blood type A patients are at highest risk for increased midline shift and postoperative seizures. Further studies elucidating the biological mechanisms of blood type depended hemostaseology and its role in acute subdural hematoma are required for the development of an appropriate intervention.

Presenting Characteristics Associated With Outcome in Children With Severe Traumatic Brain Injury: A Secondary Analysis From a Randomized, Controlled Trial of Therapeutic Hypothermia

OBJECTIVES

To identify injury patterns and characteristics associated with severe traumatic brain injury course and outcome, within a well-characterized cohort, which may help guide new research and treatment initiatives.

DESIGN

A secondary analysis of a phase 3, randomized, controlled trial that compared therapeutic hypothermia versus normothermia following severe traumatic brain injury in children.

SETTING

Fifteen sites in the United States, Australia, and New Zealand.

PATIENTS

Children (< 18 yr old) with severe traumatic brain injury.

MEASUREMENTS AND MAIN RESULTS

Baseline, clinical, and CT characteristics of patients (n = 77) were examined for association with mortality and outcome, as measured by the Glasgow Outcome Scale-Extended Pediatric Revision 3 months after traumatic brain injury. Data are presented as odds ratios with 95% CIs. No demographic, clinical, or CT characteristic was associated with mortality in bivariate analysis. Characteristics associated with worse Glasgow Outcome Scale-Extended Pediatric Revision in bivariate analysis were two fixed pupils (14.17 [3.38-59.37]), abdominal Abbreviated Injury Severity score (2.03 [1.19-3.49]), and subarachnoid hemorrhage (3.36 [1.30-8.70]). Forward stepwise regression demonstrated that Abbreviated Injury Severity spine (3.48 [1.14-10.58]) and midline shift on CT (8.35 [1.05-66.59]) were significantly associated with mortality. Number of fixed pupils (one fixed pupil 3.47 [0.79-15.30]; two fixed pupils 13.61 [2.89-64.07]), hypoxia (5.22 [1.02-26.67]), and subarachnoid hemorrhage (3.01 [1.01-9.01]) were independently associated with worse Glasgow Outcome Scale-Extended Pediatric Revision following forward stepwise regression.

CONCLUSIONS

Severe traumatic brain injury is a clinically heterogeneous disease that can be accompanied by a range of neurologic impairment and a variety of injury patterns at presentation. This secondary analysis of prospectively collected data identifies several characteristics associated with outcome among children with severe traumatic brain injury. Future, larger trials are needed to better characterize phenotypes within this population.

Emergent Single Burr Hole Evacuation for Traumatic Acute Subdural Hematoma with Cerebral Herniation: A Retrospective Cohort Comparison Analysis

OBJECTIVE

To investigate the clinical benefits of emergent single burr hole evacuation technology in traumatic acute subdural hematoma (ASDH) with cerebral herniation cases.

METHODS

We conducted a review comparing patients with ASDH with cerebral herniation who underwent single burr hole evacuation followed by decompressive craniectomy and intracranial hematoma removal surgery (n = 45, group A) and those who underwent decompressive craniectomy and intracranial hematoma removal surgery after rapid infusion of mannitol 250 mL (n = 53, group B) in our institution. Pre- and postoperative assessments included Glasgow Coma Scale (GCS), Glasgow Outcome Scale (GOS), activities of daily living (ADLs), and common complication incidences.

RESULTS

At 1 and 6 months after operation, the median GCS score of group A was significantly higher than group B (P = 0.04 and P = 0.03, respectively). After 6 months, the GOS score and ADLs between the 2 groups had significant differences (P < 0.05). There were no differences between the 2 groups in the common complication incidences.

CONCLUSIONS

Emergent single burr hole evacuation in combination with decompressive craniectomy surgery is a useful treatment for ASDH with cerebral herniation, which can achieve reduction of intracranial pressure as soon as possible and improve the prognosis.

Hypertonic saline administration and complex traumatic brain injury outcomes: a retrospective study

Although hypertonic saline (HTS) decreases intracranial pressure (ICP) with traumatic brain injury (TBI), its effects on survival and post-discharge neurologic function are less certain. We assessed the impact of HTS administration on TBI outcomes and hypothesized that favorable outcomes would be associated with larger amounts of 3% saline. This is a retrospective study of consecutive-patients with the following criteria: blunt trauma, age 18-70 years, intracranial hemorrhage, Glasgow Coma Scale score (GCS) 3-12, and mechanical ventilation ≥ 5 days. The need for craniotomy or craniectomy denoted surgical decompression patients. Amounts of HTS were during the first-5 trauma center days. Traits for the 112 patients during 2012-2016 were as follows: GCS, 6.8 ± 3.2; subdural hematoma, 71.4%; cerebral contusion, 31.3%, ICP device, 47.3%; surgical decompression, 51.8%; ventilator days, 14.8 ± 6.7; trauma center mortality, 13.4%; and no commands at 3 months 35.5%. In surgically decompressed patients, trauma center mortality was greater with ≤ 8.0 mEq/kg sodium (38.9%) than with > 8.0 mEq/kg (7.5%; P = 0.0037). In surgically decompressed patients, following commands at 3 months was greater with ≥ 1400 mEq sodium (76.9%) than with < 1400 mEq (50.0%; P = 0.0489). For trauma center surviving non-decompression patients with no ICP device, those following commands at 3 months received more sodium (513 ± 784 mEq) than individuals not following commands (82 ± 144 mEq; P = 0.0142). For patients with a GCS 5-8, following commands at 3 months was greater with ≥ 1350 mEq sodium (92.3%) than with < 1350 mEq (60.0%; P = 0.0214). In patients with subdural hematoma or cerebral contusion, following commands at 3 months was greater with ≥ 1400 mEq sodium (84.2%) than with < 1400 mEq (61.8%; P = 0.0333). Patients with ICP > 20 mmHg for ≤ 10 hours (mean hours 2.0) received more sodium (16.5 ± 11.5 mEq/kg) when compared to ICP elevation for ≥ 11 hours (mean hours 34) (9.4 ± 6.3 mEq/kg; P = 0.0139). These observations demonstrate that hypertonic saline administration in patients with complex traumatic brain injury is associated with 1) mitigation of intracranial hypertension, 2) trauma center survival, and 3) following commands at 3 months post-injury.

Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms

Midline shift (MLS) of the brain is an important feature that can be measured using various imaging modalities including X-ray, ultrasound, computed tomography, and magnetic resonance imaging. Shift of midline intracranial structures helps diagnosing intracranial lesions, especially traumatic brain injury, stroke, brain tumor, and abscess. Being a sign of increased intracranial pressure, MLS is also an indicator of reduced brain perfusion caused by an intracranial mass or mass effect. We review studies that used the MLS to predict outcomes of patients with intracranial mass. In some studies, the MLS was also correlated to clinical features. Automated MLS measurement algorithms have significant potentials for assisting human experts in evaluating brain images. In symmetry-based algorithms, the deformed midline is detected and its distance from the ideal midline taken as the MLS. In landmark-based ones, MLS was measured following identification of specific anatomical landmarks. To validate these algorithms, measurements using these algorithms were compared to MLS measurements made by human experts. In addition to measuring the MLS on a given imaging study, there were newer applications of MLS that included comparing multiple MLS measurement before and after treatment and developing additional features to indicate mass effect. Suggestions for future research are provided.

Radiologic Factors Predicting Deterioration of Mental Status in Patients with Acute Traumatic Subdural Hematoma

OBJECTIVE

To evaluate whether subdural hematoma (SDH) volume and other radiologic factors predict deterioration of mental status in patients with acute traumatic SDH.

METHODS

SDH volumes were measured with a semiautomated tool. The area under the receiver operating characteristic curve was used to determine optimal cutoff values for mental deterioration, including the variables midline shift, SDH volume, hematoma thickness, and Sylvian fissure ratio. Multivariate logistic regression was used to calculate the odds ratio for mental deterioration based on several predictive factors.

RESULTS

We enrolled 103 consecutive patients admitted to our hospital with acute traumatic SDH over an 8-year period. We observed an increase in SDH volume of approximately 7.2 mL as SDH thickness increased by 1 mm. A steeper slope for midline shift was observed in patients with SDH volumes of approximately 75 mL in the younger age group compared with patients in the older age group. When comparing cutoff values used to predict poor mental status at time of admission between the 2 age groups, we observed smaller midline shifts in the older patients.

CONCLUSIONS

Among younger patients, an overall tendency for more rapid midline shift progression was observed in patients with relatively low SDH volumes compared with older patients. Older patients seem to tolerate larger hematoma volumes owing to brain atrophy compared with younger patients. When there is a midline shift, older patients seem to be more vulnerable to mental deterioration than younger patients.

Clinical characteristics and prognosis of traumatic head injury following road traffic accidents admitted in ICU "analysis of 694 cases"

BACKGROUND

The aim of the present study is to analyze the clinical and epidemiological characteristics of Traumatic Brain Injury (TBI) following Road Traffic Accidents (RTAs). Moreover, we aim to evaluate the outcome of the TBI victims referred to our medico-surgical Intensive Care Unit (ICU), and to define predictive factors associated with poor prognosis.

METHODS

A retrospective study over a 4-year period (2009 to 2012) of 694 patients with head injuries, incurred during road traffic accidents, admitted to the Intensive Care Unit (ICU) of a university hospital (Sfax-Tunisia). Basic demographic, clinical, biological, and radiological data were recorded on admission and during the ICU stay.

RESULTS

There were 592 males (85.3%), and 102 female patients. The mean age was at 31.8 ± 17.8 years (range 1-91). The mechanism of the accident was detailed in 666 patients (96%). The majority of the victims were motorcycle riders and/or passengers (40.5%), followed by pedestrians (29.1%). Extra-cranial pathology was present in 452 patients (65%). A total of 677 patients (97.6%) required intubation, mechanical ventilation, and sedation. Mean ICU stay was 16 ± 17.4 days. A total of 187 patients (26.9%) died during their hospital stay. The GOS performed within a mean delay of 6 months after hospital discharge was as follows: 198 deaths (28.5%), 13 vegetative state (1.9%), and 349 (50.3%) good recovery and/or moderate disability. A multivariate analysis showed that the factors which correlated with a poor prognosis (mortality and severe disability) were: age > 38 years, Glasgow coma scale score < 8, subdural hematoma, and development of secondary systemic insults (respiratory, circulatory, and metabolic).

CONCLUSION

In Tunisia, traumatic brain injury due to RTAs is a frequent cause of ICU admission, especially among young adults, and is associated with high mortality and morbidity rates. The majority of the victims were motorcycle riders and/or passengers and pedestrians. The factors associated with a poor outcome were: age > 38 years, Glasgow Coma Scale score < 8, subdural hematoma, and development of secondary systemic insults (respiratory, circulatory, and metabolic). As a consequence, prevention is highly warranted.

Head computed tomographic measurement as a predictor of outcome in patients with subdural hematoma with cerebral edema

BACKGROUND

The ability to predict outcome in patients with cerebral edema is important because it can influence treatment strategy. We evaluated whether differences in head computed tomographic (CT) measurements in Hounsfield units (HU) of white matter and gray matter can be used as a predictor of outcome in patients with subdural hematoma with cerebral edema.

METHODS

We evaluated 34 patients who had subdural hematoma with cerebral edema following acute closed head trauma and had undergone head CT within a few hours of admission. We divided them into the survival (n = 24) group and death (n = 10) group, and measured the HU of white matter and gray matter at injury and non-injury sites.

RESULTS

There were no significant differences in operation time or blood loss during surgery between the two groups. Only the HU of white matter in the injury site of patients in the death group were decreased significantly. A cut-off value of 31.5 for HU of white matter showed 80.0 % sensitivity and 99.9 % specificity for death; the area under the curve was 0.91.

DISCUSSION

Our results are more evidence of the support of neurogenic edema in trauma rather than an important clinical tool at this stage. However, HU values in WM may be one factor in the decision-making process that affects patient outcome. Changing the treatment strategy in patients with a low HU value in the WM at the injury site may bring about an improvement in patient outcome.

CONCLUSION

Measurement in HU of white matter at the injury site might be useful as a predictor of outcome in patients with subdural hematoma with cerebral edema.