OBJECTIVES: To investigate the clinical characteristics and prognosis of infants and young children with basal ganglia infarction after minor head trauma (BGIMHT). METHODS: A retrospective analysis was conducted on the clinical data and follow-up results of children aged 28 days to 3 years with BGIMHT who were hospitalized at Children's Hospital of Soochow University from January 2011 to January 2022. RESULTS: A total of 45 cases of BGIMHT were included, with the most common symptom being limb movement disorders (96%, 43/45), followed by facioplegia (56%, 25/45). Cerebral imaging showed that 72% (31/43) had infarction accompanied by basal ganglia calcification. After conservative treatment, 42 children (93%) showed significant symptom improvement, while 3 children (7%) experienced recurrent strokes. The median follow-up time was 82 months (range: 17-141 months). At the last follow-up, 97% (29/30) had residual basal ganglia softening lesions. Among 29 cases participating in questionnaire follow-up, 66% (19/29) recovered normally, 17% (5/29) showed significant improvement in symptoms, and 17% (5/29) had poor improvement. According to the grading of the Global Burden of Disease Control Projects, only 1 child (3%) had severe sequelae. There were no significant differences in age at onset, gender, or presence of concomitant basal ganglia calcification between children with and without neurological sequelae (P>0.05). CONCLUSIONS The most common initial symptom of BGIMHT is limb movement disorder, and imaging results indicate that most children have concurrent intracranial calcifications. Most infarct lesions later transform into softening lesions, resulting in a generally good prognosis.
Humans ; Male ; Female ; Infant ; Child, Preschool ; Craniocerebral Trauma/complications* ; Follow-Up Studies ; Retrospective Studies ; Basal Ganglia/pathology* ; Infant, Newborn

Mild repetitive head injury is a serious health problem with long-term negative consequences. Changes in brain neurobiology were assessed with MRI in a model of head injury designed to reflect the human experience. Rats were maintained on a reverse light-dark cycle and head impacted daily at 24 h intervals over three days while fully awake under red light illumination. There was no neuroradiological evidence of brain damage. Rats were imaged for changes in blood brain barrier permeability, edema and gray matter microarchitecture, and resting state functional connectivity. Data were registered to a 3D MRI rat atlas with 173 segmented brain areas providing site-specific information on each imaging modality. Changes in BBB permeability were minimal and localized to the hippocampus and cerebellum. There was evidence of cytotoxic edema in the basal ganglia, thalamus, and cerebellum. There was a global decrease in connectivity and an increase in gliosis in the thalamus, cerebellum, and hippocampus. This study shows a sequelae of neuropathology caused by mild repetitive head injury that is commonly observed in clinical practice using MRI in patients. As such, it may serve as a model for testing the efficacy of new therapeutics using any or all of the measures as biomarkers to assess drug efficacy.
Animals ; Magnetic Resonance Imaging/methods* ; Disease Models, Animal ; Brain/physiopathology* ; Male ; Rats ; Rats, Sprague-Dawley ; Blood-Brain Barrier/diagnostic imaging* ; Multimodal Imaging ; Wakefulness/physiology* ; Craniocerebral Trauma/physiopathology*

OBJECTIVE: To analyze the risk factors for ventilator-associated pneumonia (VAP) and its prognosis in patients with severe craniocerebral injury. METHODS: A prospective observational study was conducted. Patients with severe craniocerebral injury admitted to the Second Affiliated Hospital of Xingtai Medical College from January 2020 to December 2022 were enrolled as the study subjects. Patients were divided into VAP group and non-VAP group based on the occurrence of VAP. VAP patients were further stratified into low-risk group [sequential organ failure assessment (SOFA) score 0-5], moderate-risk group (SOFA score 6-8), and high-risk group (SOFA score ≥ 9). General data, serological indicators [interleukin-6 (IL-6), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and signal transducer and activator of transcription 3 (STAT3)], and 28-day prognosis (with mortality as the endpoint event) were compared. Multivariate Logistic regression was used to identify risk factors for VAP and 28-day mortality. Linear regression was applied to analyze the correlations between risk factors and outcomes. RESULTS: A total of 140 patients with severe craniocerebral injury were enrolled, including 49 in the VAP group and 91 in the non-VAP group. The primary cause of injury was traffic accidents, followed by falls and heavy object impacts. Among VAP patients, 38 survived and 11 died within 28 days; 112 were classified as low-risk, 25 as moderate-risk, and 12 as high-risk. Significant differences were observed in age, body mass index (BMI), smoking history, hypertension, diabetes, hyperlipidemia, length of hospital stay, duration of mechanical ventilation, serum albumin levels, and frequency of sputum suction among different subgroups. Serologically, IL-1β, TNF-α, IL-6, and STAT3 mRNA expression levels in the VAP group were significantly higher than those in the non-VAP group. Deceased VAP patients exhibited higher IL-1β, TNF-α, IL-6, and STAT3 mRNA levels compared to survivors. These biomarkers progressively increased from low-risk to high-risk subgroups. Multivariate Logistic regression identified age [odds ratio (OR) were 0.328 and 0.318], BMI (OR were 0.340 and 0.268), hypertension (OR were 0.275 and 0.245), diabetes (OR were 0.319 and 0.307), hyperlipidemia (OR were 0.228 and 0.235), smoking history (OR were 0.255 and 0.240), length of hospital stay (OR were 0.306 and 0.230), duration of mechanical ventilation (OR were 0.247 and 0.219), frequency of sputum suction (OR were 0.325 and 0.228), IL-1β (OR were 0.231 and 0.259), TNF-α (OR were 0.308 and 0.235), IL-6 (OR were 0.298 and 0.277), and STAT3 (OR were 0.259 and 0.265) as independent risk factors for both VAP occurrence and 28-day mortality (all P < 0.05). Correlation analysis revealed that serum albumin levels were negatively correlated with VAP occurrence and mortality (all P < 0.01), while other factors showed positive correlations (all P < 0.01). CONCLUSIONS Age, BMI, length of hospital stay, duration of mechanical ventilation, frequency of sputum suction, hypertension, diabetes, hyperlipidemia, smoking history, IL-1β, TNF-α, and IL-6/STAT3 signaling pathway activation are significantly associated with VAP development and poor prognosis in patients with severe craniocerebral injury, providing a scientific basis for targeted clinical interventions.
Humans ; Risk Factors ; Pneumonia, Ventilator-Associated ; Prognosis ; Prospective Studies ; Craniocerebral Trauma/complications* ; Interleukin-6/blood* ; Male ; Female ; STAT3 Transcription Factor/blood* ; Interleukin-1beta/blood* ; Tumor Necrosis Factor-alpha/blood* ; Middle Aged ; Adult ; Logistic Models

Animals ; Macaca mulatta ; Optic Disk ; Glaucoma ; Craniocerebral Trauma ; Intraocular Pressure ; Low Tension Glaucoma

PURPOSE: Child head injury under impact scenarios (e.g. falls, vehicle crashes, etc.) is an important topic in the field of injury biomechanics. The head of piglet was commonly used as the surrogate to investigate the biomechanical response and mechanisms of pediatric head injuries because of the similar cellular structures and material properties. However, up to date, piglet head models with accurate geometry and material properties, which have been validated by impact experiments, are seldom. We aim to develop such a model for future research. METHODS: In this study, first, the detailed anatomical structures of the piglet head, including the skull, suture, brain, pia mater, dura mater, cerebrospinal fluid, scalp and soft tissue, were constructed based on CT scans. Then, a structured butterfly method was adopted to mesh the complex geometries of the piglet head to generate high-quality elements and each component was assigned corresponding constitutive material models. Finally, the guided drop tower tests were conducted and the force-time histories were ectracted to validate the piglet head finite element model. RESULTS: Simulations were conducted on the developed finite element model under impact conditions and the simulation results were compared with the experimental data from the guided drop tower tests and the published literature. The average peak force and duration of the guide drop tower test were similar to that of the simulation, with an error below 10%. The inaccuracy was below 20%. The average peak force and duration reported in the literature were comparable to those of the simulation, with the exception of the duration for an impact energy of 11 J. The results showed that the model was capable to capture the response of the pig head. CONCLUSION This study can provide an effective tool for investigating child head injury mechanisms and protection strategies under impact loading conditions.
Animals ; Swine ; Finite Element Analysis ; Skull/injuries* ; Craniocerebral Trauma/diagnostic imaging* ; Brain ; Biomechanical Phenomena ; Scalp

OBJECTIVE: To investigate the clinical value of analgesia and sedation under bispectral index (BIS) monitoring combined with hydraulic coupled intracranial pressure (ICP) monitoring in severe craniocerebral injury (sTBI). METHODS: (1) A prospective self-controlled parallel control study was conducted. A total of 32 patients with sTBI after craniotomy admitted to the intensive care unit (ICU) of the First People's Hospital of Huzhou from December 2020 to July 2021 were selected as the research objects. ICP was monitored by Codman monitoring system and hydraulically coupled monitoring system, and the difference and correlation between them were compared. (2) A prospective randomized controlled study was conducted. A total of 108 sTBI patients admitted to the ICU of the First People's Hospital of Huzhou from August 2021 to August 2022 were selected patients were divided into 3 groups according to the random number table method. All patients were given routine treatment after brain surgery. On this basis, the ICP values of the patients in group A (35 cases) were monitored by Codman monitoring system, the ICP values of the patients in group B (40 cases) were monitored by hydraulic coupling monitoring system, and the ICP values of the patients in group C (33 cases) were monitored combined with hydraulic coupling monitoring system, and the analgesia and sedation were guided by BIS. The ICP after treatment, cerebrospinal fluid drainage time, ICP monitoring time, ICU stay time, complications and Glasgow outcome score (GOS) at 6 months after surgery were compared among the 3 groups. In addition, patients in group B and group C were further grouped according to the waveforms. If P₁ = P₂ wave or P₂ and P₃ wave were low, they were classified as compensatory group. If the round wave or P₂ > P₁ wave was defined as decompensated group, the GOS scores of the two groups at 6 months after operation were compared. RESULTS: (1) There was no significant difference in ICP values measured by Codman monitoring system and hydraulic coupling monitoring system in the same patient (mmHg: 11.94±1.76 vs. 11.88±1.90, t = 0.150, P = 0.882; 1 mmHg≈0.133 kPa). Blan-altman analysis showed that the 95% consistency limit (95%LoA) of ICP values measured by the two methods was -4.55 to 4.68 mmHg, and all points fell within 95%LoA, indicating that the two methods had a good correlation. (2) There were no significant differences in cerebrospinal fluid drainage time, ICP monitoring time, ICU stay time, and incidence of complications such as intracranial infection, intracranial rebleeding, traumatic hydrocephalus, cerebrospinal fluid leakage, and accidental extubation among the 3 groups of sTBI patients (P > 0.05 or P > 0.017). The ICP value of group C after treatment was significantly lower than that of group A and group B (mmHg: 20.94±2.37 vs. 25.86±3.15, 26.40±3.09, all P < 0.05), the incidence of pulmonary infection (9.1% vs. 45.7%, 42.5%), seizure (3.0% vs. 31.4%, 30.0%), reoperation (3.0% vs. 31.4%, 40.0%), and poor prognosis 6 months after operation (33.3% vs. 65.7%, 65.0%) were significantly lower than those in group A and group B (all P < 0.017). According to the hydraulic coupling waveform, GOS scores of 35 patients in the compensated group were significantly higher than those of 38 patients in the decompensated group 6 months after operation (4.03±1.18 vs. 2.39±1.50, t = 5.153, P < 0.001). CONCLUSIONS The hydraulic coupled intracranial pressure monitoring system has good accuracy and consistency in measuring ICP value, and it can better display ICP waveform changes than the traditional ICP monitoring method, and has better prediction value for prognosis evaluation, which can replace Codman monitoring to accurately guide clinical work. In addition, analgesia and sedation under BIS monitoring combined with hydraulic coupled ICP monitoring can effectively reduce ICP, reduce the incidence of complications, and improve the prognosis, which has high clinical application value.
Humans ; Intracranial Pressure ; Prospective Studies ; Monitoring, Physiologic/methods* ; Craniocerebral Trauma ; Analgesia ; Cerebrospinal Fluid Leak

INTRODUCTION: Falls from heights contribute to 34% of fatal accidents in Singapore. Of these, 51% of the accidents occur in the construction industry. This retrospective review, of all persons falling from heights in the construction industry from 2006 to 2012 and attending a major hospital, analysed injury patterns and related them to mechanisms and contributory factors. METHODS: Information collected included injury and casualty characteristics, safety measures, pre-existing medical conditions and clinical outcomes. RESULTS: Of 1,085 patients, 951 were male with a mean age of 39.8 years, mean height of 165.9 cm and mean weight of 69.7 kg. Most of the casualties fell between 0800 and 2000 hours. Among the severely injured patients, 2.4% had head injuries, 54.9% had chest injuries and 39.2% had abdominal and pelvic injuries. For these casualties, the mortality rate was 60.8%. For patients with less than major trauma, the commonest injuries were in the lower limbs (41.8%), upper limbs (40.8%) and spine (22.2%). All the casualties survived. Falls from scaffolding, formwork and platforms were the most common causes of severe injuries (41.1%). Safety helmets and harnesses were reported to be used in 1.8% and 4.1% of instances of falls, respectively. CONCLUSION Studying the patterns of injuries following falls at construction sites has the potential for injury prevention through safe practices, use of safety equipment and targeted training.
Humans ; Male ; Adult ; Female ; Construction Industry ; Craniocerebral Trauma/etiology* ; Protective Devices ; Head Protective Devices ; Retrospective Studies ; Wounds and Injuries/etiology* ; Injury Severity Score

Humans ; Infant ; Female ; Dandy-Walker Syndrome/diagnosis* ; Tomography, X-Ray Computed ; Craniocerebral Trauma/complications*

Objective To investigate the pathogen distribution,imaging characteristics,and risk factors of pulmonary infection with multi-drug resistant organism (MDRO) in patients with severe craniocerebral injury,and establish and verify the risk prediction model. Methods A total of 230 patients with severe craniocerebral injury complicated with pulmonary infection were collected retrospectively.According to the 7∶3 ratio,they were randomly assigned into a modeling group (161 patients) and a validation group (69 patients).The risk factors of MDRO pulmonary infection were predicted with the data of the modeling group for the establishment of the risk prediction model.The data of the validation group was used to validate the performance of the model. Results Among the 230 patients,68 patients developed MDRO pulmonary infection.The isolated drug-resistant bacteria mainly included multi-drug resistant Acinetobacter baumannii,multi-drug resistant Klebsiella pneumoniae,multi-drug resistant Pseudomonas aeruginosa,and methicillin-resistant Staphylococcus aureus,which accounted for 45.21%,23.29%,16.44%,and 15.07%,respectively.The imaging characteristics included pleural effusion,lung consolidation,and ground-glass shadow,which accounted for 72.06%,63.24%,and 45.59%,respectively.Multivariate Logistic regression analysis showed that the independent risk factors for MDRO pulmonary infection included age ≥60 years (P=0.003),history of diabetes (P=0.021),history of chronic obstructive pulmonary disease (P=0.038),mechanical ventilation ≥7 d (P=0.001),transfer from other hospitals (P=0.008),and coma (P=0.002).A risk scoring model was established with the β value (rounded to the nearest integer) corresponding to each index in the regression equation.Specifically,the β values of age ≥60 years,history of diabetes,history of chronic obstructive pulmonary disease,mechanical ventilation ≥7 d,transfer from other hospitals,and coma were 1,1,1,2,2,and 1,respectively (value ≥4 indicated a high-risk population).The areas under the receiver operating characteristic curve of the modeling group and validation group were 0.845 and 0.809,respectively. Conclusions Multi-drug resistant Acinetobacter baumannii is the most common pathogen of MDRO pulmonary infection in patients with severe craniocerebral injury.Pleural effusion,lung consolidation,and ground-glass shadow were the most common imaging characteristics.The established risk model has high discriminant validity in both the modeling group and the validation group.
Coma ; Craniocerebral Trauma ; Drug Resistance, Multiple, Bacterial ; Humans ; Methicillin-Resistant Staphylococcus aureus ; Middle Aged ; Pleural Effusion ; Pneumonia ; Pulmonary Disease, Chronic Obstructive ; Retrospective Studies

OBJECTIVES: To reconstruct the cases of acceleration craniocerebral injury caused by blunt in forensic cases by finite element method (FEM), and to study the biomechanical mechanism and quantitative evaluation method of blunt craniocerebral injury. METHODS: Based on the established and validated finite element head model of Chinese people, the finite element model of common injury tool was established with reference to practical cases in the forensic identification, and the blunt craniocerebral injury cases were reconstructed by simulation software. The cases were evaluated quantitatively by analyzing the biomechanical parameters such as intracranial pressure, von Mises stress and the maximum principal strain of brain tissue. RESULTS: In case 1, when the left temporal parietal was hit with a round wooden stick for the first time, the maximum intracranial pressure was 359 kPa; the maximum von Mises stress of brain tissue was 3.03 kPa at the left temporal parietal; the maximum principal strain of brain tissue was 0.016 at the left temporal parietal. When the right temporal was hit with a square wooden stick for the second time, the maximum intracranial pressure was 890 kPa; the maximum von Mises stress of brain tissue was 14.79 kPa at the bottom of right temporal lobe; the maximum principal strain of brain tissue was 0.103 at the bottom of the right temporal lobe. The linear fractures occurred at the right temporal parietal skull and the right middle cranial fossa. In case 2, when the forehead and left temporal parietal were hit with a round wooden stick, the maximum intracranial pressure was 370 kPa and 1 241 kPa respectively, the maximum von Mises stress of brain tissue was 3.66 kPa and 26.73 kPa respectively at the frontal lobe and left temporal parietal lobe, and the maximum principal strain of brain tissue was 0.021 and 0.116 respectively at the frontal lobe and left temporal parietal lobe. The linear fracture occurred at the left posterior skull of the coronary suture. The damage evaluation indicators of the simulation results of the two cases exceeded their damage threshold, and the predicted craniocerebral injury sites and fractures were basically consistent with the results of the autopsy. CONCLUSIONS The FEM can quantitatively evaluate the degree of blunt craniocerebral injury. The FEM combined with traditional method will become a powerful tool in forensic craniocerebral injury identification and will also become an effective means to realize the visualization of forensic evidence in court.
Humans ; Finite Element Analysis ; Biomechanical Phenomena ; Wounds, Nonpenetrating ; Head ; Craniocerebral Trauma