PURPOSE: Traumatic brain injury (TBI) is a significant public health issue that impacts individuals all over the world and is one of the main causes of mortality and morbidity. Decompressive craniectomy is the usual course of treatment. Basal cisternostomy has been shown to be highly effective as an alternative procedure to decompressive craniectomy. METHODS: We conducted a retrospective cohort of patients who received surgery for severe TBI between January 2019 and March 2023. Inclusion criterias were patients between the ages of 18 and 70 years who met the diagnostic criteria for severe TBI at first presentation and who underwent surgical intervention. The exclusion criteria were patients who have severe multiple injuries at the time of admission; preoperative intracranial pressure > 60 mmHg; cognitive impairment before the onset of the disease; hematologic disorders; or impaired functioning of the heart, liver, kidneys, or other visceral organs. Depending on the surgical approach, the patients were categorized into decompressive craniectomy group as well as basal cisternostomy group. General data and postoperative indicators, including Glasgow coma scale, intracranial pressure, etc., were recorded for both groups of patients. Among them, the Glasgow outcome scale extended assessment at 6 months served as the primary outcome. After that, the data were statistically analyzed using SPSS software. RESULTS: The trial enrolled 41 patients (32 men and 9 women) who met the inclusion criteria. Among them, 25 patients received decompressive decompressive craniectomy, and 16 patients received basal cisternostomy. Three days postoperative intracranial pressure levels were 10.07 ± 2.94 mmHg and 17.15 ± 14.65 mmHg (p = 0.013), respectively. The 6 months following discharge Glasgow outcome scale extended of patients was 4.73 ± 2.28 and 3.14 ± 2.15 (p = 0.027), respectively. CONCLUSION Our study reveals that basal cisternostomy in patients with surgically treated severe TBI has demonstrated significant efficacy in reducing intracranial pressure as well as patient prognosis follow-up and avoids removal of the bone flap. The efficacy of cisternostomy has to be studied in larger, multi-clinical center randomized trials.
Humans ; Brain Injuries, Traumatic/surgery* ; Retrospective Studies ; Male ; Female ; Adult ; Middle Aged ; Decompressive Craniectomy/methods* ; Aged ; Young Adult ; Adolescent ; Glasgow Coma Scale ; Treatment Outcome

PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale

OBJECTIVE: To explore the prognostic value of C-reactive protein (CRP)/albumin (Alb) ratio combined with platelet count (PLT) and Glasgow coma score (GCS) in patients with heat stroke (HS). METHODS: A retrospective analysis was conducted on the clinical data of HS patients admitted to the department of intensive care unit (ICU) of Nanchong Central Hospital from May 1, 2020 to October 31, 2023. This included general information, admission GCS, laboratory indicators and 28-day prognosis. The differences in the above indicators were compared between two groups of patients with different prognoses. Statistically significant indicators from univariate analysis were included in multivariate Logistic regression analysis to screen for factors influencing 28-day mortality in HS patients. The predictive value of various influencing factors on the 28 days prognosis of HS patients were analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 73 HS patients were included, of whom 41 survived for 28-day and 32 died. There were no statistically significant differences in gender and age between the two groups of HS patients with different prognoses. The white blood cell count (WBC), neutrophil count (NEU), aspartate aminotransferase (AST), alanine aminotransferase (ALT), CRP, and CRP/Alb ratio in the death group were significantly higher than those of the survival group, and the admission GCS score, platelet count (PLT), total bilirubin (TBil) and Alb were significantly lower than the survival group [WBC (×10⁹/L): 14.80 (11.44, 17.15) vs. 11.96 (9.47, 14.82), NEU (×10⁹/L): 13.05 (8.56, 15.67) vs. 9.50 (6.68, 12.09), AST (U/L): 108.00 (52.70, 291.50) vs. 64.50 (38.25, 110.50), ALT (U/L): 62.00 (19.50, 159.00) vs. 34.50 (20.75, 70.75), CRP (mg/L): 22.49 (3.42, 58.93) vs. 3.68 (1.01, 11.46), CRP/Alb ratio: 0.53 (0.08, 1.77) vs. 0.08 (0.02, 0.44), GCS score: 7.0 (5.0, 8.0) vs. 8.5 (7.0, 11.0), PLT (×10⁹/L): 107.00 (73.50, 126.00) vs. 131.50 (107.50, 176.25), TBil (mmol/L): 15.60 (10.00, 25.30) vs. 21.40 (14.80, 30.05), Alb (g/L): 32.65 (32.53, 49.30) vs. 38.70 (36.20, 40.40), all P < 0.05]. Binary Logistic regression analysis showed that the GCS score [odds ratio (OR) = 0.686, 95% confidence interval (95%CI) was 0.491-0.959, P = 0.028], PLT (OR = 0.973, 95%CI was 0.954-0.992, P = 0.005), NEU (OR = 1.312, 95%CI was 1.072-1.606, P = 0.009) and CRP/Alb ratio (OR = 7.652, 95%CI was 1.632-35.881, P = 0.010) were independent influencing factors for 28-day mortality in HS patients. ROC curve analysis showed that the area under the curve (AUC) of GCS score, PLT, and CRP/Alb ratio for single prediction of 28-day prognosis in HS patients was 0.705, 0.752, and 0.729, and the combination of all three predicted the highest AUC of 28-day prognosis in HS patients (0.917), with a sensitivity and specificity of 86.2% and 81.2%, respectively. CONCLUSION CRP/Alb ratio, PLT, and GCS score are independent influencing factors affecting the prognosis of HS patients, and all of them have a certain predictive value for the prognosis of HS patients, in which the combination of the three has a higher predictive value for the prognosis of HS patients.
Humans ; C-Reactive Protein/analysis* ; Prognosis ; Glasgow Coma Scale ; Retrospective Studies ; Heat Stroke/diagnosis* ; Platelet Count ; Male ; Female ; Serum Albumin/analysis* ; Middle Aged ; Aged ; Adult ; ROC Curve

OBJECTIVE: To analyze the clinical characteristics of patients with severe fall injury and explore the prehospital factors affecting the injury severity score (ISS). METHODS: Clinical data of severe trauma patients with fall injury and ISS≥16 from January 2018 to December 2020 were retrieved from trauma database of Peking University People' s Hospital. The patients' age, gender, suicidal tendencies, psychiatric disorders, fall height, properties of the impact surface, the body part hitting the ground, abbreviated injury scale, Glasgow coma scale (GCS), length of stay in intensive care unit (ICU), operation were collected. And the in-hospital mortality were calculated. Univariate analysis and multiple linear regression models were used to analyze the relationship between the above factors and ISS. The patients' GCS, length of stay in ICU, surgery, and in-hospital mortality were collected to analyze the general clinical characteristics of patients. RESULTS: A total of 160 patients were finally eligible, including 138 males and 22 females, with an average age of (45.56±15.85) years. Among the 160 patients, there were 36 cases (22.50%) with suicidal tendencies, 12 cases (7.50%) with psychiatric disorders. Their average fall height was (7.20±8.33) meters, and 48 cases (30.00%) hit the soft contact medium. 40 cases (25.00%) with impact on the head at the ground, lower limbs in 26 cases (16.25%), ventral in 16 cases (10.00%), dorsal in 40 cases (25.00%), lateral in 38 cases (23.75%). The patients' ISS was 22.8±6.85, GCS was 13.49±3.39, lengths of ICU stays were (9.96±8.12) days, and 142 (88.75%) patients underwent surgery, 8 in-hospital deaths were all due to head trauma, with an in-hospital mortality rate of 5.00%. Univariate analysis suggested that the main factors influencing ISS were the presence of suicidal tendencies (P=0.01) and the site of impact on the ground (P=0.02). Multiple linear regression analysis indicated that suicidal tendencies and head impact on the ground were in-fluential factors for high ISS. CONCLUSION Collecting prehospital information of patients with fall injuries, such as whether they have suicidal tendencies and whether they hit the ground with their heads, can effectively predict the severity of patients' injuries, which is conducive to early diagnosis, early care, and early treatment, thus reducing preventable death.
Humans ; Male ; Female ; Middle Aged ; Injury Severity Score ; Hospital Mortality ; Adult ; Accidental Falls/statistics & numerical data* ; Glasgow Coma Scale ; Intensive Care Units ; Length of Stay/statistics & numerical data* ; Wounds and Injuries/psychology* ; Abbreviated Injury Scale

OBJECTIVE: To investigate the effect of hyperbaric oxygen (HBO) on paroxysmal sympathetic hyperexcitation (PSH) after brain injury. METHODS: A multicenter retrospective study was conducted. Fifty-six patients with PSH who received HBO treatment from four hospitals in Henan Province from January 2021 to September 2023 were selected as the HBO group, and 36 patients with PSH who did not receive HBO treatment from Zhengzhou People's Hospital from May 2018 to December 2020 were selected as the control group. PSH assessment measure (PSH-AM) score [clinical feature scale (CFS) score+diagnostic likelihood tool (DLT) score] and Glasgow coma scale (GCS) were compared before and after HBO treatment, and between HBO group and control group to evaluate the effect of HBO treatment on prognosis of PSH patients. RESULTS: There were no statistically significant differences in age, gender, PSH etiology, GCS score, time from onset to occurrence of PSH, CFS score, CFS+DLT score and frequency of PSH episodes between the two groups, indicating comparability. The duration of HBO treatment ranged from 3 to 11 days for 56 patients receiving HBO treatment, and the duration of HBO treatment ranged from 3 to 5 courses. Compared with before treatment, after HBO treatment, PSH symptoms in HBO patients were significantly relieved (body temperature increase: 14.29% vs. 64.29%, heart rate increase: 25.00% vs. 98.21%, shortness of breath: 14.29% vs. 76.79%, blood pressure increase: 8.93% vs. 85.71%, sweating: 10.71% vs. 85.71%, muscle tone increased: 19.64% vs. 75.00%, all P < 0.05), CFS+DLT score decreased significantly (16.90±4.81 vs. 22.12±3.12, P < 0.01), GCS score improved (12.31±5.34 vs. 5.95±2.18, P < 0.01). After 30 days of hospitalization, compared with the control group, PSH symptoms in the HBO group were improved (body temperature increase: 14.29% vs. 19.44%, heart rate increase: 19.64% vs. 25.00%, shortness of breath: 10.71% vs. 27.78%, blood pressure increase: 7.14% vs. 22.22%, sweating: 8.93% vs. 25.00%, muscle tone increased: 19.64% vs. 38.89%, all P < 0.05 except body temperature increase), CFS+DLT score decreased (16.90±3.81 vs. 19.98±4.89, P < 0.05), GCS score increased (14.12±4.12 vs. 12.31±4.14, P < 0.01), the length of intensive care unit (ICU) stay was shortened (days: 18.01±5.67 vs. 24.93±8.33, P < 0.01). CONCLUSIONS HBO treatment can significantly relieve the symptoms of patients with PSH after brain injury and provide a new idea for the treatment of PSH patients.
Humans ; Hyperbaric Oxygenation/methods* ; Retrospective Studies ; Brain Injuries/therapy* ; Female ; Male ; Prognosis ; Glasgow Coma Scale ; Autonomic Nervous System Diseases/etiology*

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

In subarachnoid hemorrhage following traumatic brain injury (TBI), the high intracisternal pressure drives the cerebrospinal fluid into the brain parenchyma, causing cerebral edema. Basal cisternostomy involves opening the basal cisterns to atmospheric pressure and draining cerebrospinal fluid in an attempt to reverse the edema. We describe a case of basal cisternostomy combined with decompressive craniectomy. A 35-year-old man with severe TBI following a road vehicle accident presented with acute subdural hematoma, Glasgow coma scale score of 6, fixed pupils and no corneal response. Opening of the basal cisterns and placement of a temporary cisternal drain led to immediate relaxation of the brain. The patient had a Glasgow coma scale score of 15 on postoperative day 6 and was discharged on day 10. We think basal cisternostomy is a feasible and effective procedure that should be considered in the management of TBI.
Adult ; Brain ; Brain Edema ; Brain Injuries, Traumatic/surgery* ; Decompressive Craniectomy/methods* ; Glasgow Coma Scale ; Humans ; Male ; Treatment Outcome

PURPOSE: Traumatic brain injury (TBI) generally causes mortality and disability, particularly in children. Machine learning (ML) is a computer algorithm, applied as a clinical prediction tool. The present study aims to assess the predictability of ML for the functional outcomes of pediatric TBI. METHODS: A retrospective cohort study was performed targeting children with TBI who were admitted to the trauma center of southern Thailand between January 2009 and July 2020. The patient was excluded if he/she (1) did not undergo a CT scan of the brain, (2) died within the first 24 h, (3) had unavailable complete medical records during admission, or (4) was unable to provide updated outcomes. Clinical and radiologic characteristics were collected such as vital signs, Glasgow coma scale score, and characteristics of intracranial injuries. The functional outcome was assessed using the King's Outcome Scale for Childhood Head Injury, which was thus dichotomized into favourable outcomes and unfavourable outcomes: good recovery and moderate disability were categorized as the former, whereas death, vegetative state, and severe disability were categorized as the latter. The prognostic factors were estimated using traditional binary logistic regression. By data splitting, 70% of data were used for training the ML models and the remaining 30% were used for testing the ML models. The supervised algorithms including support vector machines, neural networks, random forest, logistic regression, naive Bayes and k-nearest neighbor were performed for training of the ML models. Therefore, the ML models were tested for the predictive performances by the testing datasets. RESULTS: There were 828 patients in the cohort. The median age was 72 months (interquartile range 104.7 months, range 2-179 months). Road traffic accident was the most common mechanism of injury, accounting for 68.7%. At hospital discharge, favourable outcomes were achieved in 97.0% of patients, while the mortality rate was 2.2%. Glasgow coma scale score, hypotension, pupillary light reflex, and subarachnoid haemorrhage were associated with TBI outcomes following traditional binary logistic regression; hence, the 4 prognostic factors were used for building ML models and testing performance. The support vector machine model had the best performance for predicting pediatric TBI outcomes: sensitivity 0.95, specificity 0.60, positive predicted value 0.99, negative predictive value 1.0; accuracy 0.94, and area under the receiver operating characteristic curve 0.78. CONCLUSION The ML algorithms of the present study have a high sensitivity; therefore they have the potential to be screening tools for predicting functional outcomes and counselling prognosis in general practice of pediatric TBIs.
Bayes Theorem ; Brain Injuries, Traumatic/therapy* ; Child ; Female ; Glasgow Coma Scale ; Humans ; Machine Learning ; Prognosis ; Retrospective Studies

PURPOSE: Patients' gender, which can be one of the most important determinants of traumatic brain injury (TBI) outcomes, is also likely to interact with many other outcome variables of TBI. This multicenter descriptive study investigated gender differences in epidemiological, clinical, treatment, mortality, and variable characteristics in adult TBI patients. METHODS: The selection criteria were defined as patients who had been diagnosed with TBI and were admitted to the hospital between January 1, 2016 and December 31, 2018. A total of 4468 adult TBI patients were enrolled at eight University Hospitals. Based on the list of enrolled patients, the medical records of the patients were reviewed and they were registered online at each hospital. The registered patients were classified into three groups according to the Glasgow coma scale (GCS) score: mild (13-15), moderate (9-12), and severe (3-8), and the differences between men and women in each group were investigated. The risk factors of moderated and severe TBI compared to mild TBI were also investigated. RESULTS: The study included 3075 men and 1393 women and the proportion of total males was 68.8%. Among all the TBI patients, there were significant differences between men and women in age, past history, and GCS score. While the mild and severe TBI groups showed significant differences in age, past history, and clinical symptoms, the moderate TBI group showed significant differences in age, past history, cause of justice, and diagnosis. CONCLUSION To the best of our knowledge, this multicenter study is the first to focus on gender differences of adult patients with TBI in Korea. This study shows significant differences between men and women in many aspects of adult TBI. Therefore, gender differences should be strongly considered in TBI studies.
Adult ; Brain Injuries ; Brain Injuries, Traumatic/epidemiology* ; Female ; Glasgow Coma Scale ; Humans ; Male ; Prospective Studies ; Sex Factors

OBJECTIVE: To study the value of amplitude-integrated EEG (aEEG), Full Outline of Unresponsiveness (FOUR), and Glasgow Coma Scale (GCS) in evaluating the prognosis of children with disturbance of consciousness in the pediatric intensive care unit (PICU). METHODS: A total of 164 children with disturbance of consciousness who were admitted to the PICU of Children's Hospital Affiliated to Soochow University were enrolled as subjects. According to prognosis, they were divided into a poor prognosis group with 111 children and a good prognosis group with 53 children. The results of aEEG monitoring, FOUR score, and GCS score on days 1 and 5 of admission were collected. The association between evaluation methods and prognosis was analyzed. The receiver operating characteristic (ROC) curve was used to evaluate the value of aEEG, FOUR, and GCS in predicting prognosis. RESULTS: The children with no improvement or abnormal aggravation of aEEG on day 5 tended to have a poor prognosis. The results of aEEG was positively correlated with prognosis (r=0.689, P<0.001), and FOUR and GCS were negatively correlated with prognosis (r=-0.655 and -0.554 respectively, P<0.001). The areas under the ROC curve (AUC) of aEEG, FOUR, and GCS were 0.894, 0.903, and 0.840 respectively, and there was no significant difference in the AUC between the three indices (P>0.05), while aEEG combined with FOUR had an AUC of 0.945, which was significantly larger than that of each index alone (P<0.05). CONCLUSIONS Both aEEG and FOUR can be used as effective tools to predict the prognosis of children with disturbance of consciousness, and a combination of aEEG and FOUR can improve the predictive value.
Child ; Consciousness ; Electroencephalography ; Glasgow Coma Scale ; Humans ; Prognosis ; ROC Curve