Damage to the Descending Colon after Endoscopic Balloon Dilatation following a Minor Traffic Accident in a Patient with Crohn's Disease: A Case Report.

Introduction: Crohn's disease (CD) is complicated by intestinal strictures and fistula formation; however, intestinal perforation is relatively rare. Case Presentation: Following a traffic accident in the evening, a 39-year-old woman experienced abdominal pain that worsened the following morning and was taken to the emergency department. She had a 17-year history of CD and eight endoscopic balloon dilations for descending colonic strictures. She presented with a high fever of 40.0°C, along with tenderness and rebound pain throughout her abdomen, with the most substantial point being in the lower left abdomen. Computed tomography showed thickening of the descending colon wall, increased fat concentration around the wall, and a slight presence of air in the mesentery near the intestinal wall. We diagnosed the patient with generalized peritonitis due to traumatic penetration of the mesentery of the descending colon and performed emergency surgery. Intraoperative observation of the abdominal cavity with a laparoscope revealed purulent ascites but no apparent perforation or edematous mesentery, with white moss and redness in the descending colon. This prompted the decision to perform peritoneal lavage drainage and a transverse colonic double colostomy. The postoperative course was favorable, and the patient was discharged from the hospital on the postoperative day 14. Four months after discharge, colostomy closure was performed. Conclusion: Relatively minor trauma in patients with CD can result in colon injury. An injured bowel is usually accompanied by active lesions due to CD; however, caution is required, as endoscopic balloon dilatation without accompaniment may be a background factor.

Prehospital care and interfacility transfer of trauma patients before reaching the emergency of a level-1 trauma care center.

Background: Management of trauma patients includes prevention, prehospital care, appropriate resuscitation at a hospital, definitive treatment, and rehabilitation. Timely and adequate care for a trauma patient is paramount, which can dramatically impact survival. This study was planned to assess the proportion of patients who failed to receive adequate prehospital care before reaching our institute. Materials and Methods: A retrospective study was conducted in the trauma and emergency department of a level-1 trauma center in eastern India from February to April 2022. The demographic profile, vital parameters, injury, mode of transport, travel duration, referring hospital, and any interventions as per airway/breathing/circulation/hypothermia were collected. Results: The records of a hundred-two patients who were brought to the trauma and emergency department in the study period were reviewed. Road traffic accident involving two wheelers was the leading cause of injury. Eighty-three percent of the patients were referred from other health centers, of which 49 were referred from district headquarters hospitals. Only three patients out of 14 had been provided with an oropharyngeal airway for whom endotracheal intubation was indicated. Only one among the 41 patients needing Philadelphia collar actually received. Sixteen patients were provided supplemental oxygen out of the 35 for whom it was indicated. Out of 68 patients in whom intravenous cannulation and fluid administration were indicated, only 35 patients had received it. Out of 31 patients with fractures, none were provided immobilization. Conclusion: The care of the trauma patients with respect to airway, breathing, circulation, and fracture immobilization was found to be grossly inadequate, emphasizing the need of structured and protocol based prehospital trauma care.

Interobserver variability in preclinical assessment of collision variables following traffic accidents.

PURPOSE: Traffic accidents persist as a leading cause of death. European law mandates the integration of automatic emergency call systems (eCall). Our project focuses on an automated injury prediction device for car accidents, correlating technical and epidemiological input data, such as age, gender, seating position, impact on the passenger compartment, seatbelt usage, impact direction, EES, vehicle class, and airbag deployment. This study aims to explore interobserver variability in data collection quality in real accident scenarios. The assessment will evaluate the impact of user training and measure the time needed for data collection to inform user recommendations for the prehospital assessment. Insights from this study can aid in evaluating the ability of different professional groups to identify potential accident-independent parameters at accident scenes. This includes, among other things, relaying information to dispatchers at rescue control centers, also within the context of telemedicine approaches. METHODS: During group sessions, real accident scenarios were presented both before and after a training presentation. Participants, including laypersons, accident research staff, emergency services, hospital physicians, and emergency physicians, visually assessed injury prediction parameters within a time limit. Training involved defining and explaining parameters using accident images. The study analyzed participant demographics, prediction accuracy, and time required, comparing assessment quality between professional groups and before and after training. RESULTS: In summary, the study demonstrates that training had a significantly positive impact on the quality of assessment for technical accident parameters. The processing time decreased significantly after training. A notable training effect was observed, particularly for the parameters of rigid collision object, affected passenger compartment, energy equivalent speed (EES), and front and side airbags. It was recommended that individuals without prior knowledge should receive training on assessing EES. Overall, it was evident that technical parameters following a traffic accident can be well assessed through training, irrespective of the professional group. CONCLUSION: Significant differences in the assessment quality of technical accident parameters were observed based on technical and medical expertise. After user training, interdisciplinary differences were reconciled, and all professional groups yielded comparable results, indicating that training can enhance the assessment abilities of all participants in the rescue chain, while the time required for assessing accident parameters was significantly reduced with training.

Parametric analysis of craniocerebral injury mechanism in pedestrian traffic accidents based on finite element methods.

PURPOSE: The toughest challenge in pedestrian traffic accident identification lies in ascertaining injury manners. This study aimed to systematically simulate and parameterize 3 types of craniocerebral injury including impact injury, fall injury, and run-over injury, to compare the injury response outcomes of different injury manners. METHODS: Based on the Total Human Model for Safety (THUMS) and its enhanced human model THUMS-hollow structures, a total of 84 simulations with 3 injury manners, different loading directions, and loading velocities was conducted. Von Mises stress, intracranial pressure, maximum principal strain, cumulative strain damage measure, shear stress, and cranial strain were employed to analyze the injury response of all areas of the brain. To examine the association between injury conditions and injury consequences, correlation analysis, principal component analysis, linear regression, and stepwise linear regression were utilized. RESULTS: There is a significant correlation observed between each criterion of skull and brain injury (p < 0.01 in all Pearson correlation analysis results). A 2-phase increase of cranio-cerebral stress and strain as impact speed increases. In high-speed impact (> 40 km/h), the Von Mises stress on the skull was with a high possibility exceed the threshold for skull fracture (100 MPa). When falling and making temporal and occipital contact with the ground, the opposite side of the impacted area experiences higher frequency stress concentration than contact at other conditions. Run-over injuries tend to have a more comprehensive craniocerebral injury, with greater overall deformation due to more adequate kinetic energy conduction. The mean value of maximum principal strain of brain and Von Mises stress of cranium at run-over condition are 1.39 and 403.8 MPa, while they were 1.31, 94.11 MPa and 0.64, 120.5 MPa for the impact and fall conditions, respectively. The impact velocity also plays a significant role in craniocerebral injury in impact and fall loading conditions (the p of all F test < 0.05). A regression equation of the craniocerebral injury manners in pedestrian accidents was established. CONCLUSION: The study distinguished the craniocerebral injuries caused in different manners, elucidated the biomechanical mechanisms of craniocerebral injury, and provided a biomechanical foundation for the identification of craniocerebral injury in legal contexts.

A Community-Based Safety Reporting System; Development, Implementation, and Evaluation: An Experience of Safe Communities in Iran.

Background: Online reporting systems can establish and maintain the community-authority connection for safety promotion initiatives and their sustainability. The aim of this study was to report the development, implementation, and evaluation of an online community safety reporting system in safe communities in Iran. Methods: In the first place, the life cycle approach and software systems development were used for design and implementation, which included 7 steps. In the following, an online Community Safety Reporting System (CSRS) was developed with two main interfaces, including a web-based and phone application. The software was developed using suitable programming languages for the web and as a mobile application for Android and iOS systems. Results: During the six months of implementation, we received 80 reports in different safety areas, which were managed by the administrators and provided feedback for reporters. System user-friendliness and easy to use were the main strengths declared by users. The CSRS program is implemented at two levels of usage: public users to report safety issues and city admin functional evaluation of the system through a short interview with users. Moreover, city authorities believed that the system facilitates community participation in decision-making processes. The address of the web page is www.payamiran.ir. Conclusion: CSRS provides a way for community voices to be heard and facilitates mutual interaction between the community and authorities. CSRS could be used as a community participation tool to ensure safety promotion initiatives sustainability.

Pediatric Facial Fracture in Garhwal Himalayan Region of Uttarakhand State: A Retrospective Study.

Background: Pediatric facial fractures are fairly uncommon injuries and comprise less than 15% of all facial fractures in the literature. Objectives: To analyze the pattern of pediatric facial fractures and compare the results with similar studies performed in India and the rest of the world. Materials and Methods: A total of 231 patients were admitted for the treatment of maxillofacial fractures. Data on etiology, anatomical location, mode of treatment, duration of stay, and X-ray advice were recorded. Results: Pediatric trauma comprised 27% of the total population. The most common cause of injury was road traffic accident (RTA), that is, 28 (43.8%) patients. Conclusion: The incidence of pediatric facial trauma is high in the hilly Garhwal-Himalayan region of Uttarakhand state in India as compared to other states of India.

Frequency of concomitant injuries in maxillofacial trauma in a tertiary health care centre in India: A 5-year retrospective study.

PURPOSE: Road traffic accidents (RTA), assaults, falls, and sports-related injuries are the leading causes of maxillofacial trauma. Due to quite different geographical environment and fast urbanization, the use of various protective equipment is restricted in India. Thus, compared to other countries, there might be a significant difference in the pattern and frequency of associated injuries among subjects with maxillofacial trauma. The present study was conducted to identify the causes and pattern of various maxillofacial fractures and the frequency of other related injuries among subjects with maxillofacial trauma. METHODS: This is a cross-sectional retrospective study recording 2617 subjects with maxillofacial trauma. The patient demographics, causes of trauma, types of maxillofacial injury, and associated soft and hard tissue injuries were recorded. The types of maxillofacial and associated injuries were diagnosed from details of clinical examinations and the interpretation of various radiographs available in the file. The associated injuries were divided into head injury, other bony injuries, and soft tissue and vital structure injuries. Descriptive statistics and the test of proportion were used. A p value < 0.05 was considered as a level of significance. RESULTS: The maxillofacial injuries were significantly common in patients aged 16 - 45 years (66.7%) than in patients aged ≤ 15 and > 46 years (33.3%) (p < 0.001). The RTA was the most common cause of maxillofacial injury (n = 2139, 81.7%), followed by fall (n = 206, 7.9%), other causes of injury (n = 178, 6.8%), and assaults (n = 94, 3.6%). The maxillofacial injury by 2-wheel vehicle accidents was significantly higher than that by 4-wheel vehicle and other vehicle accidents (p < 0.001). There was a significant correlation between alcohol and RTA (p < 0.001). The head injury (n = 931, 61.1%) was the most common associated injury, followed by soft tissue and vital structures injuries (n = 328, 21.5%) and other bone injuries (n = 264, 17.3%). DISCUSSION: Head injury was the most common associated injury followed by soft tissue and vital structures and bone injuries among subjects with maxillofacial trauma. Clavicle fracture and injury to the lower extremities were the most common hard and soft tissue-associated injuries.

Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning.

Traffic accidents have emerged as one of the most public health safety matters, raising concerns from both the public and urban administrators. The ability to accurately predict traffic accident not only supports the governmental decision-making in advance but also enhances public confidence in safety measures. However, the efficacy of traditional spatio-temporal prediction models are compromised by the skewed distributions and sparse labeling of accident data. To this end, we propose a Sparse Spatio-Temporal Dynamic Hypergraph Learning (SST-DHL) framework that captures higher-order dependencies in sparse traffic accidents by combining hypergraph learning and self-supervised learning. The SST-DHL model incorporates a multi-view spatiotemporal convolution block to capture local correlations and semantics of traffic accidents, a cross-regional dynamic hypergraph learning model to identify global spatiotemporal dependencies, and a two-supervised self-learning paradigm to capture both local and global spatiotemporal patterns. Through experimentation on New York City and London accident datasets, we demonstrate that our proposed SST-DHL exhibits significant improvements compared to optimal baseline models at different sparsity levels. Additionally, it offers enhanced interpretability of results by elucidating complex spatio-temporal dependencies among various traffic accident instances. Our study demonstrates the effectiveness of the SST-DHL framework in accurately predicting traffic accidents, thereby enhancing public safety and trust.

Treatment Gap in Mental Health Care for Victims of Road Traffic Accidents.

Road traffic accidents (RTAs) are among the most frequent negative life-events. About one in five RTA survivors is susceptible to posttraumatic stress disorder (PTSD). Knowledge about needs for, and usage of, mental health services (MHSs) may improve options for care for RTA victims. The current study aimed to assess rates of victims using different MHSs, including psychotherapy, pharmacotherapy and support groups, and to explore correlates of needs for and use of these MHSs. Further, we aimed to estimate the treatment gap in post-RTA care, defined as including people with probable PTSD who did not use MHSs and people wanting but not getting help from MHSs. Dutch victims of nonlethal RTAs (N = 259) completed self-report measures on needs for and use of MHSs and PTSD. Results showed that 26% of participants had utilized care from psychotherapy, pharmacotherapy or support groups. Among people with probable PTSD, this was 56%. Increased posttraumatic stress was the strongest correlate of MHS use. Forty-eight participants (17.8%) had an unmet care need and represented the treatment gap. Commonly reported reasons and barriers preventing MHS use were perceptions that problems were limited or would disappear without care and financial worries. Regarding possible future care, participants reported a preference for face-to-face (over online) help from a psychologist (over other professionals). The treatment gap for Dutch RTA victims may be limited. However, a significant number of RTA victims need care but do not obtain this care. Care options may be improved by reducing practical barriers to MHSs and increasing mental health literacy and acceptability of different forms of care (besides face-to-face care).

Effective factors of severity of traffic accident traumas based on the Haddon matrix: a systematic review and meta-analysis.

Objective: This study aims to investigate the factors affecting the severity of trauma caused by traffic accidents based on martrix Haddon; a systematic review and meta-analysis. Methods: In this study searched five international databases in this study, including Medline/PubMed, ProQuest, Scopus, Web of Knowledge, and Google Scholar, for published articles by the end of 2022. Data were entered into the statistical program and analyses were performed using STATA 17.0 software. Odds ratio (OR) values were computed for severity accidents. Results: Results of study showed that among the risk factors related to the host, not using helmet increased the risk of injury severity by 3.44 times compared to people who have used helmets (OR Not using helmet/Using helmet = 3.44, 95% CI: 2.27-5.00, P=0.001, I2=0.00%). Also, crossing over a centre divider has a protective role for the risk of injury severity compared to undertaking (OR crossing over a centre divider/undertaking=0.39, 95% CI: 0.20-0.75, P=0.01, I2=25.79%). in terms of the type of accident, accident of car-car reduces the risk of injury severity by 23% compared to accident of car-pedestrian (OR accident of car-car/accident of car-pedestrian=0.77, 95% CI: 0.61-0.96, P=0.02, I2=0.00%). Conclusions: It is necessary to pay attention to the intersection of human, vehicle and environmental risks and their contribution and how they interact. Based on the Haddon matrix approach, special strategies can be designed to prevent road damage. Safety standards for vehicles should also be addressed through stricter legal requirements and inspections.

Expect the unexpected: bezoar-caused gastric perforation in the 19-year-old patient, after traffic accident.

A 19-year-old female involved in a traffic accident presented to the Emergency Room (ER) with no trauma-related symptoms but a palpable mass in the epigastrium. Imaging revealed a massive trichobezoar causing gastric perforation. Urgent laparotomy was performed, and a 1.5-kilogram bezoar was removed, along with repairing coexisting gastric ulcers. The patient had a history of trichophagia, suggesting a psychiatric association. This case highlights the potential of trichobezoars to cause gastric perforation, even in patients admitted for unrelated reasons. CT-scan proves effective in diagnosing such cases. While a traffic accident might be a plausible cause, the presence of a bezoar can elevate the risk of complications. Psychiatric evaluation is recommended when trichophagia is identified. The study underscores the need for vigilance in unexpected scenarios, demonstrating the importance of multidisciplinary approaches in managing such cases.

Risk factors and predictive model of cerebral edema after road traffic accidents-related traumatic brain injury.

PURPOSE: Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries. METHODS: This case control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median and quartiles. Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. RESULTS: According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% CI: 2.08 - 25.42, p = 0.002), 2.85 (95% CI: 1.11 - 7.31, p = 0.030), 2.62 (95% CI: 1.12 - 6.13, p = 0.027), 2.44 (95% CI: 1.25 - 4.76, p = 0.009), and 1.5 (95% CI: 1.10 - 2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ2 = 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ2 = 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. CONCLUSION: Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Closed Degloving Injury of the Foot Caused by a High Impact Force: A Case Report.

An 18-year-old male subject was referred to our MRI scanning center, by an orthopedic surgeon, for a swelling over the plantar region of the foot. He had been in a motor vehicle accident a few weeks back, with no evidence of fracture at the time of injury. In subsequent weeks, he developed a swelling over his foot. MRI showed the presence of a fluid intensity lesion in the subdermal and dermal layers of his foot. Unguarded motor vehicle accidents often tend to cause severe injuries. Sometimes, they even need operative management since a motor vehicle collision is a high-impact accident. One of the pathologies caused by a high impact force is the Morel-Lavallée lesion or a closed type of degloving injury. A Morel-Lavallee lesion also needs operative intervention if major vascular channels are involved in the degloving. However, if the major vessels supplying the region of degloving are intact, open surgery may not be needed. In such cases, incision and drainage along with serial wound dressing may be attempted. The primary risk in closed degloving is recurrent or subsequent tissue necrosis. Close and watchful monitoring is needed to anticipate and prevent these. Closed degloving injuries or Morel-Lavallée lesions have been commonly described in the thigh and pelvis region. Here, we describe a case that developed in the dermal and fascial layers of the foot and was managed conservatively. The epidermal layer showed regeneration, and the patient did not need subsequent amputation.

Self-reported cycling behavior and previous history of traffic accidents of cyclists.

BACKGROUND: Cyclists are vulnerable traffic users and studying the cycling behavior of professional and elite cyclists, their previous history of traffic accidents combined with the current knowledge on high-risk behaviors of this group can be a useful basis for further studies on ordinary cyclists. This study aimed to determine the relationship between cycling behavior and the previous history of traffic accidents among members of the Cycling Federation of Guilan province in 2022. METHODS: A descriptive-analytical study was performed in which the Bicycle Rider Behavior Questionnaire (BRBQ) constructed in the Porsline platform was distributed using the WhatsApp social network. All participants were asked to self-report their cycling behavior. The final analysis was performed by using STATA software (version 14). RESULTS: The study subjects included a total of 109 cyclists with a mean age of 38.62 ± 10.94 years and a mean cycling experience of 13.75 ± 11.08 years. Using the logistic regression model, the relationship between gender (P = 0.039), years of cycling experience (P = 0.000), and education level (P ≤ 0.00), with previous traffic accidents, was found significant. There was also a significant relationship between stunts and distractions (P = 0.005), signaling violation (P = 0.000), and control error (P = 0.011) with previous traffic accidents. A significant association existed between stunts and distractions (P = 0.001) and signaling violation (P = 0.001) with a previous history of traffic injury within the last 3 years. CONCLUSIONS: The findings of this study can be used to establish cyclist safety and preventative planning in society. In behavior change intervention programs, it is best to target male cyclists with higher-level education. In addition, the behavior of the cyclists whose predominant term of signaling violations must be corrected should be targeted. It is necessary to shape information campaigns and educational programs aimed for cyclists with common high-risk behaviors, especially signaling violations.

Bicycle-related accidents in Rome: Investigating clinical patterns, demographics, injury contexts, and health outcomes for enhanced public safety.

INTRODUCTION: This study aims to analyze the clinical characteristics, demographic features, and injury circumstances of patients admitted to the Emergency Department (ED) at Fondazione Policlinico Universitario A. Gemelli (IRCCS) in Rome, Italy, due to bicycle accidents. METHODS: Data on clinical characteristics, accident timing, injury circumstances, and helmet use were collected for ED patients involved in bicycle accidents from January 2019 to December 2022. Subsequently, Abbreviated Injury Scale codes of all diagnoses were recorded and the Injury Severity Score was calculated. RESULTS: Over the study period, 763 patients were admitted to the ED following bicycle accidents, with a 0.3 % fatality rate and a 30.4 % frequency of multitrauma. Multivariate analysis revealed that collisions with other vehicles increased trauma severity and the risk of ICU admission. Conversely, helmet use was associated with reduced severity of head trauma and a lower likelihood of ICU admission. Notably, toxicological investigations were not conducted for any ED-admitted patients. CONCLUSIONS: Although a low mortality rate and a low incidence of multi-trauma have been shown in comparison to other nations, it is necessary to adopt prevention strategies like safety devices, more cycle paths, and better infrastructures on the one hand, and stricter laws on the other. It is essential to require toxicological testing in Italy for all accidents involving this means of transport, and to make helmet use compulsory for all ages.

Unveiling the road to safety: Understanding the factors influencing motorcycle accidents among riders in rural Chiang Mai, Thailand.

Background: Motorcycle accidents pose a significant threat to traffic safety in Thailand, particularly in rural areas where the severity of these accidents often results in prolonged medical treatment and a reduction in the quality of life of the affected individual. Objectives: To investigate the prevalence and the factors associated with motorcycle accidents among motorcycle riders in rural areas in Chiang Mai, Thailand. Method: A cross-sectional study was conducted from December 2022 to March 2023 via an anonymous survey in Chiang Mai, Thailand. A total of 308 participants engaged with the survey. The data about background information, motorcycle details, personal protective equipment, risky behaviors, attitude toward riding, and history of motorcycle accidents in the prior six months were collected and analyzed by binary logistic regression. Results: Of 308 participants, the mean age was 56 years old (SD = 14.2), females were 56.8 % (N = 175), 51 % had co-morbidity, and 40.6 % were active alcohol drinkers. The prevalence of individuals who experienced a motorcycle accident within the previous six months was 57.1 %. Notably, the most unsafe riding behavior was not wearing a helmet while riding, which had a prevalence of more than 80 % in both the accident and non-accident groups. The study found significant associated factors for motorcycle accidents in rural communities, including the history of alcohol consumption (aOR 1.71, 95 % CI: 1.05,2.79), changing lanes without using turn signals (aOR 1.93, 95 % CI: 1.07,3.48) and those who strongly disagree with the notion that listening to music while riding is dangerous (aOR 2.80, 95 % CI: 1.06, 7.43). Conclusion: Over half of motorcycle riders have been in accidents. These findings emphasize the need to enforce drunk-driving and traffic laws. Comprehensive motorcycle rider education and safety training are needed to encourage responsible riding.

Research on traffic accident prediction of expressway tunnel based on B-NB model.

OBJECTIVE: The study investigates the relationship between traffic accidents in expressway tunnels and their influencing factors, with the aim of predicting traffic accidents within tunnels and presenting reasonable recommendations to improve tunnel safety. METHODS: The study utilizes a dataset of 586 traffic accidents occurring exclusively within 8 tunnels along a Guangdong Province expressway from 2017 to 2021. It applies the geometric alignment consistency principle to segment road sections, defines tunnel boundaries based on driving behavior, and employs a Bayesian-modified negative binomial regression model (B-NB model) to identify 6 significant variables from a pool of 17 factors. RESULTS: The predictive performance of the B-NB model demonstrated similarities to that of the fixed parametric model. This outcome might be attributed to the chosen prior distribution settings and the limited amount of data. Nonetheless, the model effectively captures relationships among variables, leading to improved accuracy in accident prediction and the predictive model achieves a 76.1% accuracy rate. CONCLUSIONS: Drawing from the estimation results, practical measures are suggested across three dimensions: road geometric alignment design, tunnel traffic safety facilities, and traffic emergency management. These proposals aim to ameliorate the severe consequences of tunnel accidents. Future research will explore an in-depth comparison of estimation results, considering the impact of time and variable correlation on the prediction model by expanding the existing data. This will guide the direction of subsequent research endeavors.

Ascending colon injury and ileal perforation due to blunt abdominal trauma: A case report.

A rare case of an ascending colon injury and ileal perforation in a 34-year-old male patient due to blunt abdominal trauma caused by a road traffic accident is reported in this study. This paper reports the clinical and imaging findings of seat belt syndrome. The seat belt syndrome primarily involves soft tissue injury; however, lacerations of the colon, small intestine, and mesentery have rarely been reported in the literature. However intestinal injuries, including bowel perforation and mesenteric injuries due to seat belt syndrome, must not be underestimated because they usually require emergency laparotomy because of accompanying peritonitis and hemorrhaging, and can be lethal if left untreated. Therefore, when an ascending mesocolon hematoma and free gas in the peritoneal cavity are present, gastrointestinal perforation due to seat belt syndrome should be suspected. In this case, gastrointestinal perforation was suspected based on the computed tomography findings, and emergency surgery was performed; the patient's course was uneventful without any postoperative complications. Early diagnosis and management are essential to prevent associated morbidity and mortality.

Assessing the incorporation of latent variables in the estimation of the value of a statistical life.

For many years, the economic literature has recognized the role of attitudes, beliefs, and perceptions in estimating the value of a statistical life (VSL). However, few applications have attempted to include them. This article incorporates the perceived controllability and concern about traffic and cardiorespiratory risks to estimate VSL using a hybrid choice model (HCM). The HCM allows us to include unobserved heterogeneity and improve behavioral realism explicitly. Using data from a choice experiment conducted in Santiago, Chile, we estimate a VSL of US$3.78 million for traffic risks and US$2.06 million for cardiorespiratory risks. We found that higher controllability decreases the likelihood that the respondents would be willing to pay for risk reductions in both risks. On the other hand, concern about these risks decreases the willingness to pay for traffic risk reductions but increases it for cardiorespiratory risk reductions.

Traffic accident duration prediction using multi-mode data and ensemble deep learning.

Predicting the duration of traffic accidents is a critical component of traffic management and emergency response on expressways. Traffic accident information is inherently multi-mode data in terms of data types. However, most existing studies focus on single-mode data, and the influence of multi-mode data on the prediction performances of models has been the subject of only very limited quantitative analysis. The present work addresses these issues by proposing a heterogeneous deep learning architecture employing multi-modal features to improve the accuracy of predictions for traffic accident durations on expressways. Firstly, six unique data modes are obtained based on the structured data and the text data. Secondly, a hybrid deep learning approach is applied to build classification models with reduced prediction error. Finally, a rigorous analysis of the influence for multi-mode data on the accident duration prediction performances is conducted using a variety of deep learning models. The proposed method is evaluated using survey data collected from an expressway monitoring system in Shaanxi Province, China. The experimental results show that Word2Vec-BiGRU-CNN is a suitable and better model using text features for traffic accident duration prediction, as the F1-score is 0.3648. This study confirms that the newly established structured features extracted from text data substantially enhance the prediction effects of deep learning algorithms. However, these new features were a detriment to the prediction effects of conventional machine learning algorithms. Accordingly, these results demonstrate that the processing and extraction of text features is a complex issue in the field of traffic accident duration prediction.