Objective Acute subdural hematoma (ASDH) is a common neurological emergency, and its appearance on head-computed tomographic (CT) imaging helps guide clinical treatment. To provide a basis for clinical decision-making, we analyzed that the density difference between the gray and white matter of the CT image is associated with the prognosis of patients with ASDH. Methods We analyzed the data of 194 patients who had ASDH as a result of closed traumatic brain injury (TBI) between 2018 and 2021. The patients were subdivided into surgical and non-surgical groups, and the non-surgical group was further subdivided into “diffused [hematoma]” and “non-diffused” groups. The control group's CT scans were normal. The 3D Slicer software was used to quantitatively analyze the density of gray and white matter depicted in the CT images. Results Imaging evaluation showed that the median difference in density between the gray and white matter on the injured side was 4.12 HU (IQR, 3.91–4.22 HU; p < 0.001) and on the non-injured side was 4.07 HU (IQR, 3.90–4.19 HU; p < 0.001), and the hematoma needs to be surgically removed. The median density difference value of the gray and white matter on the injured side was 3.74 HU (IQR, 3.53–4.01 HU; p < 0.001) and on the non-injured side was 3.71 HU (IQR, 3.69–3.73 HU; p < 0.001), and the hematoma could diffuse in a short time. Conclusion Quantitative analysis of the density differences in the gray and white matter of the CT images can be used to evaluate the clinical prognosis of patients with ASDH.

In the present study, we aimed to elucidate changes in electroencephalography (EEG) metrics during recovery of consciousness and to identify possible clinical markers thereof. More specifically, in order to assess changes in multidimensional EEG metrics during neuromodulation, we performed repeated stimulation using a high-density transcranial direct current stimulation (HD-tDCS) protocol in 42 patients with disorders of consciousness (DOC). Coma Recovery Scale-Revised (CRS-R) scores and EEG metrics [brain network indicators, spectral energy, and normalized spatial complexity (NSC)] were obtained before as well as fourteen days after undergoing HD-tDCS stimulation. CRS-R scores increased in the responders (R +) group after HD-tDCS stimulation. The R + group also showed increased spectral energy in the alpha2 and beta1 bands, mainly at the frontal and parietal electrodes. Increased graphical metrics in the alpha1, alpha2, and beta1 bands combined with increased NSC in the beta2 band in the R + group suggested that improved consciousness was associated with a tendency toward stronger integration in the alpha1 band and greater isolation in the beta2 band. Following this, using NSC as a feature to predict responsiveness through machine learning, which yielded a prediction accuracy of 0.929, demonstrated that the NSC of the alpha and gamma bands at baseline successfully predicted improvement in consciousness. According to our findings reported herein, we conclude that neuromodulation of the posterior lobe can lead to an EEG response related to consciousness in DOC, and that the posterior cortex may be one of the key brain areas involved in the formation or maintenance of consciousness.

Objective:To investigate the application value of transcranial Doppler ultrasound (TCD) in the assessment of intracranial pressure (ICP) in patients with traumatic brain injury (TBI).Methods:A retrospective analysis was conducted on the clinical data of 26 patients with TBI who underwent invasive ICP monitoring early after admission from October 2018 to December 2020 in the Neurotrauma Department of the First Hospital of Jilin University. The TCD parameters of all patients (260 cases) were collected, including systolic blood flow velocity (FVs), diastolic blood flow velocity (FVd), mean blood flow velocity (FVm), pulsatility index (PI) and resistance index (RI). We documented invasive monitoring parameters during the same period, including ICP and mean arterial pressure (MAP). Modeling formula 1 [non-invasive ICP 1 (nICP 1) = 4.47×PI+ 12.68], formula 2 [nICP 2 = MAP×(1-FVd/FVm) -14], formula 3 (nICP 3 = 10.93×PI-1.28) were utilized to calculate nICP. The bivariate Pearson correlation coefficient was used to analyze the correlation between nICP and ICP at the same time, the Bland-Altman test plot of nICP and ICP was drawn to compare the consistency deviation, the receiver operating characteristic (ROC) curve was drawn for predicting the increase of ICP [ICP≥20 mm Hg (1 mm Hg=0.133 kPa)] using nICP and its predictive power was calculated. According to the applied invasive monitoring technology, the patients were divided into hydraulic group (159 cases) and piezoelectric group (101 cases). According to whether the patients underwent decompressive craniectomy, they were divided into decompressive craniectomy group (201 cases) and non-decompressive craniectomy group (59 cases). Subgroup analyses were performed separately. Results:Among the parameters of TCD, PI was positively correlated with ICP ( r=0.74, P<0.001). The results of Pearson correlation analysis showed that nICP 1, nICP 2, nICP 3 were all positively correlated with ICP (all P<0.001). Bland-Altman test results showed that the deviations of nICP 1, nICP 2, and nICP 3 were 1.3±2.4 mm Hg, -2.1±6.3 mm Hg, -6.2±2.1 mm Hg respectively. Similar results were obtained in subgroup analyses. The ROC curve analysis results showed that the area under curve(AUC) of nICP 1, nICP 2, and nICP 3 for predicting increased ICP were 0.91, 0.79, and 0.89 respectively (all P<0.001), and nICP 1 had higher accuracy, corresponding sensitivity was 94.44%, specificity was 83.48%. Conclusion:Calculation of nICP based on TCD parameters can assist dynamically assess the changes in ICP in patients with traumatic brain injury, which is simple, accurate, and has certain value of clinical application.

ObjectiveAssessing the risk of postoperative recurrence of chronic subdural hematoma (CSDH) is a clinical focus. To screen the main factors associated with the perioperative hematoma recurrence. The brain re-expansion is the core factor of recurrence. A clinical prognostic scoring system was also proposed.MethodsWe included 295 patients with unilateral CSDH as the training group for modeling. Factors predicting postoperative recurrence requiring reoperation (RrR) were determined using univariate and multivariate regression analyses, and bivariate Pearson correlation coefficient analysis was used to exclude related factors. Receiver operating characteristic curve analysis evaluates the ability of main factors to predict RrR and determines the cut-off value of brain re-expansion rate. We developed a prognostic scoring system and conducted preliminary verification. A verification group including 119 patients with unilateral CSDH was used to verify the grading systems.ResultsThe key factors for predicting unilateral CSDH recurrence were cerebral re-expansion rate (≤ 40%) at postoperative days 7–9 (OR 25.91, p < 0.001) and the preoperative CT density classification (isodense or hyperdense, or separated or laminar types) (OR 8.19, p = 0.007). Cerebral atrophy played a key role in brain re-expansion (OR 2.36, p = 0.002). The CSDH prognostic grading system ranged from 0 to 3. An increased score was associated with a more accurate progressive increase in the RrR rate (AUC = 0.856).ConclusionsOur prognostic grading system could screen clinically high-risk RrR patients with unilateral CSDH. However, increased attention should be paid to brain re-expansion rate after surgery in patients with CSDH.

Background Chronic subdural hematoma (CSDH) is a common neurological disease, and the surgical evacuation of subdural collection remains the primary treatment approach for symptomatic patients. Postoperative recurrence is a serious complication, and several factors are correlated with postoperative recurrence. Methods We searched Embase, Web of Science, PubMed, and Cochrane Library from their establishment to September 2020. Reports on randomized, prospective, retrospective, and overall observational studies on the management of surgical patients with CSDH were searched, and an independent reviewer performed research quality assessment. Factors that affect the postoperative recurrence of CSDH were extracted: social demographics, drugs (as the main or auxiliary treatment), surgical management, imaging, and other risk factors. We evaluated the recurrence rate of each risk factor. A random effect model was used to perform a meta-analysis, and each risk factor affecting the postoperative recurrence of CSDH was then evaluated and graded. Findings In total, 402 studies were included in this analysis and 32 potential risk factors were evaluated. Among these, 21 were significantly associated with the postoperative recurrence of CSDH. Three risk factors (male, bilateral hematoma, and no drainage) had convincing evidence. The classification of evidence can help clinicians identify significant risk factors for the postoperative recurrence of CSDH. Interpretation Only few associations were supported by high-quality evidence. Factors with high-quality evidence may be important for treating and preventing CSDH recurrence. Our results can be used as a basis for improving clinical treatment strategies and designing preventive methods. Copyright (C) 2021 The Authors. Published by Elsevier Ltd.

Objective Assessing the risk of postoperative recurrence of chronic subdural hematoma (CSDH) is a clinical focus. To screen the main factors associated with the perioperative hematoma recurrence. We also propose a new prognostic grading system and compare it with previous grading systems to deliver a quick and effective system. Methods We included 242 unilateral patients with CSDH as the training group for modeling. Factors predicting postoperative recurrence requiring reoperation (RrR) were determined using univariate and multivariate regression analyses. The cut-off value for the brain re-expansion rate was determined through receiver operating characteristic curve analysis. Based on these, we developed a new prognostic scoring system and conducted preliminary verification. A verification group including 119 patients with unilateral CSDH was used to verify the predictive performance of the new and other grading systems. Results The key factors for predicting unilateral CSDH recurrence were cerebral re-expansion rate (≤ 40%) at postoperative days 7 – 9 and the preoperative computed tomography density classification (isodense or hyperdense, or separated or laminar types). Cerebral atrophy played a key role in brain re-expansion. The CSDH prognostic grading system ranged from 0 to 3. An increased score was associated with a more accurate progressive increase in the RrR rate. Our grading system demonstrated the best predictive performance compared with other systems (area under the curve = 0.856). Conclusions Our prognostic grading system could quickly and effectively screen high-risk RrR patients with unilateral CSDH. However, increased attention should be paid to brain re-expansion rate after surgery in patients with CSDH.