PURPOSE: Despite advances in modern medicine, traumatic brain injuries (TBIs) are still a major medical problem. Early diagnosis of TBI is crucial for clinical decision-making and prognosis. This study aims to compare the predictive value of Helsinki, Rotterdam, and Stockholm CT scores in predicting the 6-month outcomes in blunt TBI patients. METHODS: This cohort study was conducted on blunt TBI patients of 15 years or older. All of them were admitted to the surgical emergency department of Shahid Beheshti Hospital in Kashan, Iran from 2020 to 2021 and had abnormal trauma-related findings on brain CT images. The patients' demographic data such as age, gender, history of comorbid conditions, mechanism of trauma, Glasgow coma scale, CT images, length of hospital stay, and surgical procedures were recorded. The Helsinki, Rotterdam, and Stockholm CT scores were simultaneously determined according to the existing guidelines. The included patients' 6-month outcome was determined using the Glasgow outcome scale extended. M Data were analyzed by SPSS software version 16.0. Sensitivity, specificity, negative/positive predictive value and the area under the receiver operating characteristic curve were calculated for each test. The Kappa agreement coefficient and Kuder Richardson-20 were used to compare the scoring systems. RESULTS: Altogether 171 TBI patients met the inclusion and exclusion criteria, with the mean age of (44.9 ± 20.2) years. Most patients were male (80.7%), had traffic related injuries (83.1%) and mild TBIs (64.3%). Patients with lower Glasgow coma scale had higher Helsinki, Rotterdam, and Stockholm CT scores and lower Glasgow outcome scale extended scores. Among all the scoring systems, the Helsinki and Stockholm scores showed the highest agreement in predicting patients' outcomes (kappa = 0.657, p < 0.001). The Rotterdam scoring system had the highest sensitivity (90.1%) in predicting death of TBI patients, whereas the Helsinki scoring system had the highest sensitivity (89.8%) in predicting the 6-month outcome in TBI patients. CONCLUSION The Rotterdam scoring system was superior in predicting death in TBI patients, whereas the Helsinki scoring system was more sensitive in predicting the 6-month outcome.
Humans ; Male ; Young Adult ; Adult ; Middle Aged ; Aged ; Female ; Cohort Studies ; Tomography, X-Ray Computed/methods* ; Brain Injuries, Traumatic/diagnosis* ; Brain Injuries ; Prognosis ; Glasgow Coma Scale ; Wounds, Nonpenetrating/diagnostic imaging* ; Brain

The causes of mental disorders are complex, and early recognition and early intervention are recognized as effective way to avoid irreversible brain damage over time. The existing computer-aided recognition methods mostly focus on multimodal data fusion, ignoring the asynchronous acquisition problem of multimodal data. For this reason, this paper proposes a framework of mental disorder recognition based on visibility graph (VG) to solve the problem of asynchronous data acquisition. First, time series electroencephalograms (EEG) data are mapped to spatial visibility graph. Then, an improved auto regressive model is used to accurately calculate the temporal EEG data features, and reasonably select the spatial metric features by analyzing the spatiotemporal mapping relationship. Finally, on the basis of spatiotemporal information complementarity, different contribution coefficients are assigned to each spatiotemporal feature and to explore the maximum potential of feature so as to make decisions. The results of controlled experiments show that the method in this paper can effectively improve the recognition accuracy of mental disorders. Taking Alzheimer's disease and depression as examples, the highest recognition rates are 93.73% and 90.35%, respectively. In summary, the results of this paper provide an effective computer-aided tool for rapid clinical diagnosis of mental disorders.
Humans ; Mental Disorders/diagnosis* ; Alzheimer Disease/diagnosis* ; Brain Injuries ; Electroencephalography ; Recognition, Psychology

Objective: To analyze the correlation of bispectral index (BIS) with the prognosis of patients with acute severe carbon monoxide poisoning (ASCMP) and its predictive value of adverse outcomes. Methods: In March 2021, 106 ASCMP patients who were treated in Harrison International Peace Hospital Affiliated to Hebei Medical University from January 2019 to December 2020 were taken as research objects. All patients underwent 24-hour BIS monitoring after admission, and were divided into good prognosis group (n=75) and poor prognosis group (n=31) according to the prognosis of the patients' cranial nerve function after 60 d. The general conditions, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHEⅡ) score, Glasgow Coma Scale (GCS) score at admission and 24-hour BIS mean were compared between the two groups. Pearson correlation analysis was used to analyze the correlations between the 24-hour BIS mean and GCS score at admission, APACHEⅡ score and coma time. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of 24-hour BIS mean, GCS score at admission, APACHEⅡ score and coma time on adverse outcome of ASCMP patients. Results: The coma time and APACHEⅡ score of the patients in the poor prognosis group were significantly higher than those in the good prognosis group, the GCS score at admission and 24-hour BIS mean were significantly lower than those in the good prognosis group (P<0.05) . Pearson correlation analysis showed that the 24-hour BIS mean was positively correlated with the GCS score at admission, and negatively correlated with the APACHEⅡ score, coma time (r=0.675, -0.700, -0.565, P<0.001) . The 24-hour BIS mean had the highest predictive value for adverse outcome of ASCMP patients, with a cut-off value of 74, the area under the curve was 0.883 (95%CI: 0.814-0.951, P<0.001) , and the sensitivity and specificity were 73.3% and 87.1%, respectively. Conclusion: The 24-hour BIS mean has a good correlation with the acute brain nerve injury, the severity of the disease and coma time of patients with ASCMP. And it has a high predictive value for the adverse outcome in patients with ASCMP.
APACHE ; Brain Injuries ; Carbon Monoxide Poisoning/diagnosis* ; Coma ; Humans ; Prognosis ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity

Post traumatic epilepsy （PTE） is a serious complication of traumatic brain injury and a difficult problem in forensic justice practice. In recent years, many biomarkers have been applied to the diagnosis, treatment and prognosis of injuries and diseases. There have been many studies on the biomarkers of PTE in the field of epilepsy. This paper reviews the progress in research on biomarkers of PTE in recent years in order to provide reference for the forensic identification of PTE.
Biomarkers/analysis* ; Brain Injuries, Traumatic/diagnosis* ; Epilepsy/etiology* ; Epilepsy, Post-Traumatic/etiology* ; Humans

PURPOSE: Mild traumatic brain injury (TBI) is common but accurate diagnosis and its clinical consequences have been a problem. Maxillofacial trauma does have an association with TBI. Neuron-specific enolase (NSE) has been developed to evaluate neuronal damage. The objective of this study was to investigate the accuracy of NSE serum levels to detect mild brain injury of patients with sustained maxillofacial fractures during motor vehicle accidents. METHODS: Blood samples were drawn from 40 healthy people (control group) and 48 trauma patients who had sustained isolated maxillofacial fractures and mild brain injury in motor vehicle accidents. Brain injuries were graded by Glasgow Coma Scale. In the trauma group, correlations between the NSE serum value and different facial fracture sites were also assessed. RESULTS: The NSE serum level (mean ± SD, ng/ml) in the 48 patients with maxillofacial fractures and mild TBI was 13.12 ± 9.68, significantly higher than that measured in the healthy control group (7.72 ± 1.82, p < 0.001). The mean NSE serum level (ng/ml) in the lower part of the facial skeleton (15.44 with SD 15.34) was higher than that in the upper facial part (12.42 with SD 7.68); and the mean NSE level (ng/ml) in the middle-and lower part (11.97 with SD 5.63) was higher than in the middle part (7.88 with SD 2.64). CONCLUSION An increase in NSE serum levels can be observed in patients sustained maxillofacial fractures and mild brain injury.
Accidents, Traffic ; Adult ; Aged ; Biomarkers ; blood ; Brain Injuries, Traumatic ; diagnosis ; Craniocerebral Trauma ; Female ; Humans ; Male ; Maxillary Fractures ; Maxillofacial Injuries ; Mesencephalon ; injuries ; Middle Aged ; Motorcycles ; Phosphopyruvate Hydratase ; blood ; Predictive Value of Tests ; Young Adult

Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) sequence used for evaluating traumatic brain injury (TBI). Although SWI is being increasingly used in veterinary medicine, there are no systematic studies regarding its use. We aimed to evaluate TBI lesions by using conventional MRI and SWI in 11 dogs and determine the correlation between clinical status and conventional MRI or SWI findings. The modified Glasgow coma scale (MGCS) at presentation and a previously used MRI grading system (MRGr; grades 1–6) were used to evaluate the brain lesions, and correlations between MGCS score and each MRGr were assessed. Conventional MRI revealed 23 lesions in 11 dogs with variable MGCS scores (range: 11–17). SWI showed comparable findings for all of the lesions except for subdural hemorrhage, and it revealed additional lesions in four dogs. The median MRGr was 2 on both conventional MRI and SWI. The MRGr of the conventional MRI assessments and the MGCS scores showed a significant negative correlation (r = −0.685). In conclusion, SWI had better TBI lesion-detection ability, but conventional MRI had a better correlation with early clinical status and subdural hemorrhage. Thus, a combination of conventional MRI and SWI examinations can improve TBI diagnosis in dogs.
Animals ; Brain ; Brain Injuries ; Diagnosis ; Dogs ; Glasgow Coma Scale ; Hematoma, Subdural ; Magnetic Resonance Imaging ; Veterinary Medicine

Traumatic brain injury (TBI) could give rise to variable clinical manifestations based on the involved structures of our bodies. Although there are no structural abnormalities proven, the patients with mild TBI suffer from chronic dizziness and imbalance. Herein, I will discuss the visuo-vestibular interaction and neurotological finding in TBI, which could demonstrate the clue to the diagnosis and management in dizzy patients with TBI.
Brain Concussion ; Brain Injuries ; Diagnosis ; Dizziness ; Humans ; Vestibular Diseases

This study identified the explanatory power of the Korean rehabilitation patient group (KRPG) v1.1 for acquired brain injury (ABI) on medical expenses in the rehabilitation hospitals and the correlation of functional outcomes with the expenses. Here, the design is a retrospective analysis from the claim data of the designated rehabilitation hospitals. Data including KRPG information with functional status and medical expenses were collected from 1 January and 31 August 2018. Reduction of variance (R2) was statistically analyzed for the explanation power of the KRPG. Association between functional status and the medical expenses was carried out using the Spearman's rank order correlation (rho). From the claim data of 365 patients with ABI, the KRPG v1.1 explained 8.6% of variance for the total medical expenses and also explained 9.8% of variance for the rehabilitation therapy costs. Cognitive function and spasticity showed very weak correlation with the total medical expenses (rho = −0.17 and −0.14, respectively). Motor power and performance of activities of daily living were associated weakly (rho = −0.27 and −0.30, respectively). The KRPG and related functional status in ABI reflects the total medical expenses and rehabilitation therapy costs insufficiently in the designated rehabilitation hospitals. Thus, the current KRPG algorithm and variables for ABI may need to be ameliorated in the future.
Activities of Daily Living ; Brain Diseases ; Brain Injuries ; Brain ; Cognition ; Diagnosis-Related Groups ; Fee-for-Service Plans ; Humans ; Muscle Spasticity ; Neurological Rehabilitation ; Rehabilitation ; Retrospective Studies

OBJECTIVE: Although traumatic brain injury (TBI) occurs in people of all age groups, the elderly population is at a particular risk. The proportion of elderly population in the society is markedly increasing and Korea is one of the most rapidly aging societies. Here, we analyzed the data from 904 patients older over 65 years who were registered in the Korean Neuro-Trauma Data Bank System (KNTDBS).METHODS: The Korean Society of Neurotraumatology recorded data from 20 institutions between September 2010 and March 2014. This retrospective study examined the clinical epidemiology, sex difference, outcome epidemiology, sociodemographic variables, and outcomes in the geriatric population related to TBI based on data from the KNTDBS.RESULTS: The study included 540 men and 364 women. The age distributions in the male and female groups were statistically significantly different. The most common cause of trauma was a fall and diagnosis was acute subdural hematoma. The incidence was the highest in men aged 80–84 years and in women aged 75–79 years. The most common time of arrival to hospital after TBI was within 1 hour and 119 rescue team provided first aid earliest to patients with TBI. The mortality rate stratified according to the cause of trauma was significantly different, with mortality rates of 3.77% in fall and 11.65% in traffic accident. The mortality rates according the severity of brain injury, Glasgow Coma Scale score, and treatment were statistically significant.CONCLUSION: To our knowledge, this study is the first to focus on elderly patients with TBI in Korea and particularly investigate mortality and characteristics related to TBI-related death based on data from the KNTDBS. Although the study has some limitations, our results may be used to obtain useful information to study targeted prevention and more effective treatment options for older TBI patients and establish novel treatment guidelines and health polish for the geriatric population.
Accidents, Traffic ; Age Distribution ; Aged ; Aging ; Brain Injuries ; Diagnosis ; Epidemiology ; Female ; First Aid ; Glasgow Coma Scale ; Hematoma, Subdural, Acute ; Humans ; Incidence ; Korea ; Male ; Mortality ; Retrospective Studies ; Sex Characteristics

OBJECTIVE: To explore the usability of regional saturation of cerebral oxygenation (rScO₂) combined with percentage of α variability (PAV) in predicting brain function prognosis in patients with traumatic brain injury (TBI). METHODS: A retrospective analysis was conducted. The clinical data of patients with TBI who were monitored rScO₂ and bedside quantitative electroencephalogram (qEEG) admitted to intensive care unit (ICU) of Henan Provincial People's Hospital from August 2018 to July 2019 were collected. The rScO₂, PAV, and Glasgow coma scale (GCS) score were recorded within 72 hours after the TBI. The primary prognostic indicator was the 3-month Glasgow outcome score (GOS) score. The differences between the two groups of poor prognosis of brain function (GOS score 1-3) and good prognosis (GOS score 4-5) were compared. Binary multivariate Logistic regression analysis was used to analyze the correlation between rScO₂, PAV, GCS score and the prognosis of brain function in patients with TBI. In addition, receiver operating characteristic (ROC) curve was plotted to analyze the predicting value of rScO₂ and PAV only or combination for prognosis of brain function. RESULTS: A total of 42 patients with TBI were enrolled in the study, with rScO₂ ≥ 0.60 (grade I) in 14 patients, 0.50 ≤ rScO₂ < 0.60 (grade II) in 16 patients, and rScO₂ < 0.50 (grade III) in 12 patients. PAV 3-4 scores (grade I) were detected in 16 patients, 2 scores (grade II) in 17 patients, and 1 score (grade III) in 9 patients. GCS score 9-14 (grade I) were observed in 13 patients, 4-8 (grade II) in 23 patients, and 3 (grade III) in 6 patients; 18 patients had poor prognosis and 24 had good one. The rScO₂, PAV and GCS scores of the poor-prognosis group were significantly higher than those in the good-prognosis group [rScO₂ with grade III: 55.6% (10/18) vs. 8.3% (2/24), PAV with grade III: 38.9% (7/18) vs. 8.4% (2/24), GCS score with grade III: 27.7% (5/18) vs. 4.1% (1/24)] with significant differences (all P < 0.05). There was no significant difference in other general data including gender, age, total length of hospital stay or acute physiology and chronic health evaluation II (APACHE II) score between the two groups. Binary multivariate Logistic regression analysis showed that rScO₂ and PAV were independent risk factors for prognosis of brain in patients with TBI [rScO₂: odds ratio (OR) = 4.656, 95% confidence interval (95%CI) was 1.071-20.233, P = 0.040; PAV: OR = 3.525, 95%CI was 1.044-11.906, P = 0.042]. ROC curve analysis showed that both of rScO₂ and PAV had predictive value for the prognosis of brain function in patients with TBI (AUC was 0.796 and 0.780, respectively, both P < 0.01), and rScO₂ combined with PAV had higher predictive value with the AUC of 0.851 (P < 0.01) than rScO₂ or PAV alone, the sensitivity was 94.4% and the specificity was 62.5%. CONCLUSIONS rScO₂ and PAV were associated with early brain function prognosis in patients with TBI. The combination of two monitoring indicators can reliably assess the prognosis of brain function in patients with TBI.
APACHE ; Brain ; Brain Injuries, Traumatic/diagnosis* ; Humans ; Prognosis ; Retrospective Studies