Traffic Accidents Research Articles

An Unusual Presentation of Chaput Tubercle Fracture with Coexisting Bimalleolar Component Involving Lateral and Posterior Malleoli: A Case Report

Background: Chaput tubercle fracture is a counterpart to adolescent Tillaux fracture, which occurs at the anterolateral part or the attachment site of the antero-inferior tibiofibular ligament on the distal tibia. It is rare, and its presentation may not be well appreciated in X-rays, which depicts the importance of a computed tomography (CT) scan of the ankle to reveal the same. Case Report: A 25-year-old gentleman presented to Chettinad Hospital, India, casualty with acute onset of pain, swelling, and restricted movements at the ankle joint following a road traffic accident. Ankle CT revealed a Chaput fracture along with a bimalleolar fracture (posterior and lateral malleoli). The complex displaced fracture was managed with open reduction internal fixation (ORIF) with plate osteosynthesis for the posterior malleoli and lateral malleoli, and tension band wiring was done for the Chaput tubercle fracture. At the end of two-year follow-up, the patient was able to mobilise without any support. Conclusion: Through this case report, we would like to enumerate the rarity of Chaput tubercle fracture associated with bimalleolar fracture of the ankle, which will be evaluated better with a CT evaluation in the first place. At the same time, it gives valuable information for the preoperative surgical plan.

Clinical Management, Prognosis, and Outcomes of Bilateral Acetabular Fractures: A Case Report

Background: Bilateral acetabular fractures are a rare type of acetabular fracture, and due to the scarcity of information regarding these types of fractures, managing bilateral acetabular fractures presents significant challenges. We presented a 25-year-old man with bilateral acetabular fractures (left transverse fracture of the acetabulum and right posterior column fracture of the acetabulum) secondary to severe trauma following a road accident with no other pelvic damage. Case Report: Because the displacement was more on the patient's left side (although the patient's pain was more on the right side), the open reduction and internal fixation (ORIF) surgery was first performed on the left side, and secondary ORIF surgery was performed on the right side, under general anesthesia with Kocher-Langenbeck approach for both sides. Conclusion: Due to the increase in road traffic accidents (RTAs) and improper safety of cars, especially in developing countries, this type of fracture may be repeated in the future, and regarding the complexity and comorbidities associated with this type of fracture, the high experience of the surgeon and detailed investigations are required to achieve successful results.

Blunt Thoracic and Abdominal Aortic Injury in Multiple Trauma: A Case Report.

Blunt abdominal aortic injury (BAAI) is rare among traumatic aortic injuries, and further complications of blunt thoracic aortic injury (BTAI) have never been reported. A man in his 80s presented to our hospital following a motor vehicle accident. Pan-scan contrast-enhanced CT showed a thoracic aortic isthmus injury (Grade III), an abdominal aortic injury (Grade IV) with extravasation of contrast media at the level of the fourth lumbar vertebra. Endovascular abdominal aortic repair was performed on the same day and a thoracic endovascular aortic repair for BTAI was performed 11 days after admission. The patient had a good postoperative course and was discharged without complications. This report presented a rare case of BTAI complicated with BAAI. The timing of intervention for aortic injury should be determined based on urgency and other organ damage.

Paediatric e-scooter riders at high risk of life-threatening traffic accidents.

This study presents the epidemiology and the development of e-scooter and non-electric scooter injuries in children and adolescents to highlight the nature and the severity of such injuries. All children and adolescents with electric or non-electric scooter related injuries between January 2019 until December 2022 were included in this single-centre study and retrospectively evaluated. An epidemiological overview including age, sex, type of scooter, injury mechanism, diagnosed injuries and surgical interventions were presented. Further, statistical comparisons of the means and proportions of injuries and the number of surgical interventions between electric and non-electric scooter riders were made. The study consists of 633 children and adolescents (9.1 ± 5.0 years; 231 female, 36.5%, 402 male, 63.5%). 80.1% (8.0 ± 4.1 years) used non-electric scooters, while 19.9% (14.2 ± 4.1 years) used e-scooters. In comparison, adolescent e-scooter riders were significantly more likely to be involved in traffic accidents (non-electric scooter: 16/507; e-scooter: 21/126; p = 0.0001) and suffered severe head injuries more often (non-electric scooter: 8/134; e-scooter: 7/37; p = 0.0217) than patients riding non-electric scooters. Adolescent e-scooter riders were more likely to be involved in potentially life-threatening traffic accidents having a higher risk of severe head injuries requiring surgery compared to non-electric scooter riders. Adolescent e-scooter riders have a higher risk to be involved in potentially life-threatening traffic accidents than riders of non-electric scooters. E-scooter riders have a higher risk of sustaining serious head injuries requiring surgical intervention than non-electric scooter riders. The data highly recommends the implementation of prevention strategies especially educating youth and parents and wearing protective clothing. Legislation and law enforcement could help prevent such injuries and potentially life-threatening traffic accidents involving children and adolescents who ride e-scooters.

Analysis of the environmental factors contributing to road traffic accidents involving school-aged pedestrian children in urban Algerian settings

Despite efforts by the Algerian government and civil society to improve road safety, traffic accidents remain a significant issue, particularly affecting children and youth. Data from the National Delegation for Road Safety (NDSR) reveals that this demographic is especially vulnerable, with 371 child fatalities recorded during the 2020-2021 school year. This study evaluated road safety around twelve primary schools in Oued El Abtal district, Mascara province, and aimed to identify effective interventions through a participatory approach involving 1,074 students. An anonymous questionnaire was used to capture students' perceptions of road risks, and the data were analyzed using IBM SPSS Statistics V27. Chi-square and Fisher’s exact tests were applied to examine associations between gender and variables like travel mode, school accompaniment, student behavior, and crossing locations. The sample was balanced by gender, consisting of 50.9% boys and 49.1% girls. Walking was the predominant travel mode (75.2%; n=808). Key risk factors included inadequate infrastructure (3.2%), insufficient signage (11.7%), sidewalk obstructions (5.1%), dangerous driving behaviors (12.2%, with speeding at 29.5%), heavy traffic (16.2%), and poor urban planning (e.g., lack of speed bumps and low visibility). These findings highlight the urgent need for targeted interventions to improve the safety of school commutes. This research identifies critical risk factors in school travel, providing a foundation for developing strategies aimed at enhancing road safety for children in Algeria.

Parameter optimization design of the helmet liner structure for mitigating traumatic brain injury under impact loading

Abstract Helmets play a crucial role in protecting motorcycle riders during two-wheeler accidents by reducing the risk of head injuries. This study investigated the complex interplay between the density, Poisson’s ratio, and Young’s modulus of a helmet liner and their impact on biomechanical factors contributing to traumatic brain injury during collisions. A validated finite element model of a 50th percentile detailed human head was initially used, followed by the development of a coupled helmet head model for collision simulations. The accuracy of the model was assessed by comparing the center-of-mass acceleration data of the head with the experimental results. This study analyzed the von Mises stress, skull stress, and intracranial pressure, and the results revealed patterns in stress distribution and the potential for cranial and brain injuries. Stress concentrations were observed in the cervical region before the impact, characterized by compressive stress on the impacted side and tensile stress on the opposite side, with peak stress levels found in the temporal bone base and frontal bone. After the impact, brain inertia–driven movements can further increase the risk of traumatic brain injury. The study found a positive correlation between liner density and center-of-mass acceleration of the head in the absence of bottoming out of the liner. By optimizing the liner properties, the study achieved a 4.5% reduction in head acceleration, a 10.1% decrease in skull stress, and a 19.8% reduction in intracranial pressure. These findings offer valuable insights for biomechanical research on head injuries caused by traffic accidents and for improving helmet designs to enhance protective measures.

Road Defect Identification and Location Method Based on an Improved ML-YOLO Algorithm

The conventional method for detecting road defects relies heavily on manual inspections, which are often inefficient and struggle with precise defect localization. This paper introduces a novel approach for identifying and locating road defects based on an enhanced ML-YOLO algorithm. By refining the YOLOv8 object detection framework, we optimize both the traditional convolutional layers and the spatial pyramid pooling network. Additionally, we incorporate the Convolutional Block Attention to effectively capture channel and spatial features, along with the Selective Kernel Networks that dynamically adapt to feature extraction across varying scales. An optimized target localization algorithm is proposed to achieve high-precision identification and accurate positioning of road defects. Experimental results indicate that the detection accuracy of the improved ML-YOLO algorithm reaches 0.841, with a recall rate of 0.745 and an average precision of 0.817. Compared to the baseline YOLOv8 model, there is an increase in accuracy by 0.13, a rise in recall rate by 0.117, and an enhancement in average precision by 0.116. After the high detection accuracy of road defects was confirmed, generalization experiments were carried out on the improved ML-YOLO model in the public data set. The experimental results showed that compared with the original YOLOv8n, the average precision and recall rate of all types of ML-YOLO increased by 0.075, 0.121, and 0.035 respectively, indicating robust generalization capabilities. When applied to real-time road monitoring scenarios, this algorithm facilitates precise detection and localization of defects while significantly mitigating traffic accident risks and extending roadway service life. A high detection accuracy of road defects was achieved.

(Why?) Evidence-Based Treatments for War-Related Posttraumatic Stress Disorder

Any war increases at least twice the prevalence of post-traumatic stress disorder (PTSD) in its victims. Post-traumatic stress disorder (PTSD) affects about 10% of car accident victims, half of the people who have experienced rape or war, and victims of violence. PTSD negatively affects the quality of life. It is associated with direct and indirect health costs. Any effort to treat and prevent PTSD with evidence-based methods is our obligation toward trauma victims and to professionals at an increased risk of job-related traumatization. In the paper, we will focus on three aspects. First – a rationale of decision making – the role of evidence in elaborating the intervention guidelines will be described. Second, an overview of evidence-based guidelines for the psychological help and for the diagnosis and treatment of PTSD will be presented, according to current NICE (National Institute of Care Excellence) and APA (American Psychological Association) and meta-analyses focusing on war-related trauma. The third part of the paper will be devoted to the prevention of PTSD in people who are exposed to professional, duty-related trauma – the data on the efficacy of preventive interventions together with a short description of the programs (on the example of “Effective performance under stress” program designed to prevent PTSD in firefighters and other professions).

SafeDrive Pro IoT Based Driver Verification System

SafeDrive Pro is an IoT-based Driver Verification System designed to address the rise in vehicular accidents involving underage and unlicensed drivers. By integrating multi-factor authentication, including age verification, facial recognition, and driver license validation, SafeDrive Pro ensures only authorized individuals can operate vehicles. The system aims to improve vehicle security, reduce unauthorized usage, and enhance road safety. The proposed system leverages IoT technology, machine learning for facial recognition, and RFID for license validation. Initial results indicate that the system can effectively prevent unauthorized access, offering a robust approach to reducing road accidents and promoting vehicle security

Cross-leg flap, alternative surgery for post traumatic soft tissue defect of ankle and foot

BackgroundSoft tissue defects that afflict the ankle and foot are mostly the result of trauma. Large wounds with soft tissue defects, especially in the ankle and foot, are a reconstructive challenge due to the lack of availability of local tissues and recipient vessels. Case PresentationWe report a female with a crush injury of the right foot and a Lisfranc injury due to a motor vehicle accident. The patient had a soft tissue defect 20 × 10 cm2 with bone and tendon exposed. The patient had a fasciocutaneous flap from the posteromedial of the distal contralateral leg for soft tissue reconstruction. Both legs were stabilized with a cast. The cross-leg flap was separated from the donor site three weeks later, and K-Wire was removed. Flap evaluation was good, and the patient resumed normal gait and activity without any stiffness of joints related to the flap or cast. DiscussionReconstruction of soft tissue defects in the ankle and foot is a challenge for surgeons due to the paucity of local and regional tissues and associated vessel injuries. Cross-leg flap can be suitable alternative option. In this case, we use medially based fasciocutaneous perforator cross-leg flap, based on the posterior tibial artery perforators. Cross-leg flaps are less technically demanding, and the probability of reexploration is lower than in free flaps. The cross-leg flap has the disadvantage of prolonged immobilization and uncomfortable resting positions. ConclusionCross-leg flap can be alternative solution for covering large soft tissue defects in ankle and foot with its advantages and disadvantages.

Time to surgery for subaxial cervical fractures: a multicenter study

ObjectiveTo identify delays for surgery to stabilize subaxial cervical fractures and the main reasons for them across Latin America. MethodsThis is a retrospective multicenter cohort study of patients surgically treated for subaxial cervical fractures from 13 spine centers across Latin America from January 1th 2014 to January 1th 2023. Causes of delay to surgery beyond 24 hours were documented. ResultsWe included 529 patients from 13 institutions in Latin American countries; 408 (77,1%) males and 121 (22,9%) females with a mean age of 43,4 (SD=±16,2). Predominantly caused by traffic accident (n=256; 48,4%), followed by fall from height (n=233; 44%). Mostly, suffered type C fractures (n=348; 65.8%) and/or neurological injury (n=384; 72,6%). The time from admission to surgery was >72 hours in 70% of the patients included (n=375; 70,9%). More than 45% waited longer than a week (n=257; 48,6%) for spine surgery. Only 12,5% (n=66) of the patients received surgery in the first 24 hours from admission. The primary reasons for the surgical delay were the necessity for other surgical procedures (n=161; 34,8%), the unavailability of surgical implants (n=60; 13,0%), patient clinical instability (n=55;11,9%), and delays in referral (n=38; 8,2%). ConclusionsWe documented significant and concerning delays in providing spinal decompression and stabilization surgery to patients with cervical spine fractures. Only 17% of patients have surgery in the recommended time <24 hrs., more than half of the patients must wait for more than 72 hours, and nearly half of patients wait for longer than a week.

HALO VEST IMMOBILIZATION: IS IT STILL A VALID TREATMENT FOR THE ATLANTO-AXIAL FRACTURES?

IntroductionAtlanto-axial injuries pose a significant threat to morbidity and mortality. This retrospective study aims to analyze clinical and radiological results, failure rates, and complications in a series of patients treated with a halo vest, validating the effectiveness of this device through long-term follow-up. Materials and methodsThis study reviewed adult patients with acute upper cervical spine injuries treated with halo vest immobilization from 1994 to 2022. Fracture types were classified based on Computed Tomography (CT) characteristics. Clinical and radiological follow-ups were performed at the end of treatment and at 3 months after the removal of the system. ResultsMost treated patients were males (70%) with a mean age of 38 years. Car accidents were the primary cause of injury (63%). Among 161 patients, 134 had a C2 fracture, 20 had a C1 fracture, 5 had a C1-C2 rotational dislocation, and 2 had other unclassified combined C1/C2 fractures. Patients without additional injuries or neurological deficits had significantly shorter hospitalization (8 vs. 16 days and 12 vs. 22 days, respectively) compared to those with additional injuries (p value<.00001) or neurological deficits (p value=0.00164). At the 6-month follow-up, radiological and clinical outcomes were available for 147 patients. X-rays in 139 cases showed fracture fusion (94.6%). Clinical follow-up revealed normal or slightly reduced range of motion in 144 cases (98%). Pain was absent or episodic in all the patients except one. In 131 cases (89%), an excellent or good clinical result was achieved. Complications did not impact treatment. ConclusionsBased on our results, the halo vest is a valid treatment for atlanto-axial injuries in selected patients. This includes young and middle-aged individuals (up to 65 years old) with C1 and/or C2 fractures. Halo vest treatment is associated with minor complications and yields a high percentage of excellent/good clinical results.

Driver Distraction Detection Based on Fusion Enhancement and Global Saliency Optimization

Driver distraction detection not only effectively prevents traffic accidents but also promotes the development of intelligent transportation systems. In recent years, thanks to the powerful feature learning capabilities of deep learning algorithms, driver distraction detection methods based on deep learning have increased significantly. However, for resource-constrained onboard devices, real-time lightweight models are crucial. Most existing methods tend to focus solely on lightweight model design, neglecting the loss in detection performance for small targets. To achieve a balance between detection accuracy and network lightweighting, this paper proposes a driver distraction detection method that combines enhancement and global saliency optimization. The method mainly consists of three modules: context fusion enhancement module (CFEM), channel optimization feedback module (COFM), and channel saliency distillation module (CSDM). In the CFEM module, one-dimensional convolution is used to capture information between distant pixels, and an injection mechanism is adopted to further integrate high-level semantic information with low-level detail information, enhancing feature fusion capabilities. The COFM module incorporates a feedback mechanism to consider the impact of inter-layer and intra-layer channel relationships on model compression performance, achieving joint pruning of global channels. The CSDM module guides the student network to learn the salient feature information from the teacher network, effectively balancing the model’s real-time performance and accuracy. Experimental results show that this method outperforms the state-of-the-art methods in driver distraction detection tasks, demonstrating good performance and potential application prospects.

Outcomes of Open Knee Joint Injuries in Trauma Patients at Tibebe-Ghion Specialized Hospital, Bahir-Dar, Ethiopia

Background: Open knee joint injury is a deep traumatic laceration violating the joint capsule. This study aimed to assess outcomes and associated factors of open knee joint injuries in trauma patients at Tibebe-Ghion Specialized Hospital, Bahirdar, Ethiopia, 2021. Methods: An institution-based retrospective cross-sectional study was conducted by reviewing the medical records of 43 patients treated for open knee joint injuries from January 2019 to July 2021, with an 86% response rate. Data were entered and exported using Epidata Manager Version 4.4 and analyzed using SPSS version 25. Results: Fourteen (32.5%) of the study subjects developed either infections or limping during follow-up due to open knee injuries, with the majority of injuries (58.1%) being caused by car accidents. The presence of associated injuries, wound size, time to wound closure, debridement as a management option, sex, and diagnostic methods showed a significant association with complication outcomes. Among the diagnosed infections, 90% were cases of septic arthritis. During the study period, eight patients (18.6%) developed limping during follow-up. The complication rate among open knee injury patients in the study area was significantly high, with one-third of patients experiencing complications. Targeted public awareness campaigns like car accidents should be conducted to educate the population about orthopedic emergencies and strategies to reduce complication risks, aiming for more favorable outcomes.

Acromion Fracture in Children (About a Case)

The shoulder trauma in children frequently results in injuries to the clavicle, while acromion fractures remain a rare occurrence. We report a case of an acromion fracture in an 11-year-old child following a road traffic accident (motorcycle passenger struck by a car). The anteroposterior shoulder X-ray revealed an oblique fracture of the distal end of the posterolateral portion of the acromion. Treatment involved immobilization with an arm-to-body sling, and the follow-up was uncomplicated. We emphasize the importance of detecting this rare fracture in the context of any shoulder trauma.

Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects

Urban traffic accidents pose significant challenges to public safety and transportation management. Previous studies have revealed that temporal and meteorological factors are the key contributors to accident rate. Besides the inconsistent observations or lack of exploration in some aspects such as snowfall, fog, wind and daily temperatures, it has been shown that these factors are essentially entangled. Furthermore, existing methodologies of analysis or prediction have been limited to relative risk or traditional models. Hence, this study is centered on understanding the detailed correlations between temporal and meteorological factors and accident rate of two types of crashes – moving vehicle and fixed-object crashes using the traffic accident data from Dalian. Further, by incorporating a diverse set of the features, a prediction model leveraging the random forest algorithm is proposed and proved effective in anticipating accident occurrences on the district level. The feature importance analysis has shown that time period and factors such as holiday, temperature and season are most important factors. The rate is higher on working days and in spring, and collisions of both types peak at 6–7 am. When the highest daily temperature is 27 °C and the lowest is 20 °C or -8 °C, the incidence is relatively higher. On the basis, the recommendations are aimed at optimizing transportation systems, mitigating accident risks, and enhancing public safety in urban environments.

Modern Classification of Respiratory Diseases: Innovations in the International Classification of Diseases of the 11th Revision

A comprehensive analysis has been performed on the innovations in the classification of respiratory diseases introduced in ICD-11, comparing it with the previous ICD-10 version. This analysis underscores the critical importance of implementing a more detailed and systematic approach to categorizing diseases of the respiratory system. The enhancements found in ICD-11 have been proven to open up new opportunities for the timely and high-quality provision of medical and pharmaceutical care. This is particularly significant for patients suffering from various injuries, including those resulting from traffic accidents, participation in combat operations, and thoracic injuries. The updated classification system in ICD-11 allows for more precise diagnosis and treatment plans, which is essential for improving patient outcomes. By providing a more granular level of detail in disease categorization, healthcare professionals can better understand the nuances of respiratory conditions. This leads to more effective communication among doctors, pharmacists, and patients, thereby improving the legal and professional relationships within the healthcare system. Integrating the ICD-11 classification into educational and training programs is essential for advancing the qualifications of specialists. By incorporating it into curricula and professional development programs, medical practitioners can stay abreast of the latest advancements in disease classification and patient care. This integration is also vital for eliminating medical errors, as a more detailed classification system reduces the likelihood of misdiagnosis and improper treatment. Furthermore, adopting ICD-11 supports the ongoing development of the healthcare sector in Ukraine. It aligns the country's medical practices with international standards, facilitating better collaboration with global health organizations. This alignment is crucial for enhancing the overall quality of healthcare services provided to the population. In conclusion, the transition to ICD-11 represents a significant advancement in the classification of respiratory diseases. Its implementation is imperative for improving medical and pharmaceutical care, enhancing specialist training programs, and strengthening the doctor-pharmacist-patient relationship. Embracing this updated classification system will not only reduce medical errors but also contribute to the further development of Ukraine's healthcare sector.

Outcome of End to Side Nerve Modified Double Oberlin Procedure and End to End Dorsal Approach Spinal Accessory to Suprascapular Nerve in Partial Postganglionic BPI: A Case Report

Introduction: Brachial plexus injury (BPI) is a devastating peripheral nerve injury that mostly affecting young men, often due to motor vehicle accidents. BPIs can be classified into preganglionic and postganglionic lesions, with postganglionic injuries allowing potential nerve regeneration. The Oberlin method, aimed at reinnervating the biceps, and the Mackinnon technique, targeting both biceps and brachialis muscles, have shown promising outcomes in BPI management. Case report: A 45-year-old man presented with right hand weakness and occasional tingling in the upper arm and fingers two months after a motorcycle accident. Motor examination revealed muscle strength of 0/5 in the right trapezius, rhomboids, serratus anterior (positive winging scapula), pectoralis minor and major, latissimus dorsi, deltoid, biceps, and elbow flexion. Wrist and finger functions remained intact. Diagnosed with post-ganglionic BPI, the patient underwent two nerve transfer surgeries: the Mackinnon technique, transferring the spinal accessory nerve to the suprascapular nerve to reinnervate shoulder muscles, and the Double Oberlin procedure, transferring fascicles from the median and ulnar nerves to the musculocutaneous nerve for reinnervation of the biceps and brachialis muscles. Post-surgery, the patient engaged in an aggressive rehabilitation program focusing on strength, range of motion, and sensory re-education. Over nine months, the patient showed significant improvement in elbow flexion (MRC grade 3), wrist extension (MRC grade 5), hand grip strength (MRC grade 3) with improved sensation across the affected limb. He returned to work and daily activities with mild residual weakness and sensory deficits. Discussion: This case illustrates the effectiveness of the Mackinnon and Double Oberlin nerve transfer techniques in restoring function in a patient with total post-ganglionic BPI. The Mackinnon technique enabled shoulder muscle reinnervation, essential for abduction and stabilization, while the Double Oberlin procedure enhanced elbow flexion by reinnervating both the biceps and brachialis muscles. The combined surgical and intensive rehabilitation approach facilitated significant functional recovery. Conclusion: The successful application of the Double Oberlin and Mackinnon techniques in this case demonstrates their potential in managing total post-ganglionic BPI. Early surgical intervention and consistent rehabilitation are crucial for optimizing recovery outcomes. This case highlights the importance of a multidisciplinary approach in treating complex peripheral nerve injuries. Keywords: Double Oberlin, Mackinnon, Brachial Plexus Injury

Real time distracted driver detection using Xception architecture and Raspberry Pi

Researchers are concentrating on developing technologies to identify and caution drivers against driving while distracted because it is a major cause of traffic accidents. According to the National Highway Traffic Safety Administrator's report, distracted driving is to blame for roughly one in every five car accidents.Our goal is to create an accurate and dependable method for identifying distracted drivers and alerting them to their lack of focus. We take inspiration from the success of convolutional neural networks in computer vision to do this. Our strategy entails putting in place a CNN-based system that can recognize when a driver is distracted as well as pinpoint the precise cause of their preoccupation. Real-time detection, however, necessitates three apparently mutually exclusive requirements for an optimal network: a small number of parameters, high accuracy, and fast speed.

Predictors of polytrauma outcome in children on the first day of treatment in ICU

The objective was to identify predictors of polytrauma outcome in children on the first day of treatment in ICU.Materials and methods. Design – multicenter, cohort, retrospective, observational study. 225 children with polytrauma were examined. The average age of children was 10 (4–14) years. There were 148 (65.8%) boys. In 65.2% of cases, the injury was received as a result of a traffic accident, catatrauma occurred in 32.6% of polytrauma. The AIS score was 34 (25–48) and the PTS score was 5 (2.0–8.0). The duration of artificial lung ventilation was 12 (0–97) hours, and treatment in ICU – 5 (2–8) days. Death was in 14.2% of cases. Results. An increase in Glasgow Coma Scale (GCS) and SpO2 by one unit (1 point, 1%) was found to reduce the risk of adverse outcome by 44% and 9%, respectively, and an increase in creatinine concentration and international normalized ratio by one unit increased the probability of patient death by 4.3 and 15.8 times, respectively. A mathematical formula was developed to assess the risk of an unfavorable outcome of polytrauma in children at the time of admission to the ICU: OR = exp (3.74–0.58 · [GCS score] – 0.09 · [SpO2] + 0.06 · [Creatinine] + 2.62 · [INR]. Its accuracy is 96.4%; sensitivity 83.4%; specificity 98.7%.Conclusion. Predictors of unfavorable outcome of polytrauma in children at admission to ICU are low scores on the Glasgow Coma Scale, severe hypoxemia, coagulopathy and kidney damage.