Analyzing the Burden of Midface Fractures Due to Road Traffic Accidents in Vietnam: An Epidemiological Approach.

BACKGROUND: Road traffic accidents have significantly impacted public health in Vietnam. This study investigated the patterns of midface fractures in Vietnam and their correlation with road traffic accidents in the country. METHODOLOGY: This retrospective cross-sectional study reviewed 2187 medical records of patients with midface fractures in Ho Chi Minh City. After applying exclusion criteria, the fractures were categorized. Statistical analyses, including chi-squared and logistic regression, were conducted to identify associations and relationships among the types and causes of fractures. RESULTS: The study found that 89.3% of midface fractures stemmed from road traffic accidents, with 55.2% and 14.4% zygomatic complex fractures and Le Fort type II fractures, respectively. Adults aged 19-39 accounted for 65.1% of patients, with males at 80.5%. Traffic accidents were significantly associated with an 18.7 times higher risk of concomitant mandibular fractures and a 10.5 times higher risk of Le Fort type II fractures, irrespective of age and gender. CONCLUSION: This study underscores the need for targeted prevention strategies to decrease the incidence of maxillofacial injuries resulting from road traffic accidents in Vietnam, particularly among high-risk groups such as males and young adults.

Silent severe aortic regurgitation due to blunt chest trauma: ignore it at your peril-a case report.

Background: Blunt chest trauma (BCT) presenting to the emergency department is common and may cause life-threatening cardiac complications. Whilst complications causing haemodynamic instability are generally detected promptly, others may present late with long-term consequences. We describe a rare, serious complication of BCT presenting five years after a road traffic accident (RTA). Case summary: A 23-year-old man was incidentally found to have a murmur. Past history was notable only for BCT with rib fracture sustained in a RTA 5 years prior. Examination revealed a hyperdynamic pulse, loud decrescendo diastolic murmur, and Duroziez's sign over the femoral arteries. Echocardiography showed severe valvular aortic regurgitation (AR) from a hole in the left coronary cusp and holodiastolic flow reversal in the descending aorta. The left ventricle (LV) showed marked dilatation in diastole, mild dilatation in systole, and preserved systolic function. The aorta was normal. Severe AR was attributed to his previous BCT, with AR causing subsequent LV dilatation. He underwent aortic valve replacement (AVR) with rapid recovery. He remains well, and his echo shows a well-functioning AVR with normalization of LV dimensions. Discussion: Aortic regurgitation following BCT is rare but well-recognized, most often resulting from RTAs. Only a third of cases are diagnosed acutely. In others, lack of haemodynamic instability means that emergency echocardiography is not routinely performed, such that this may go unrecognized with long-term consequences. Clinicians should be aware of possible valve damage following BCT. Prompt echocardiography should be routinely performed for all BCT at initial presentation, even without haemodynamic instability.

Road-traffic noise exposure and coronary atherosclerosis in the Swedish CArdioPulmonary bioImage Study (SCAPIS).

Background: Road-traffic noise may influence the development of cardiovascular events such as stroke and myocardial infarction, but etiological mechanisms remain unclear. This study aimed to assess the relationship between long-term road-traffic noise exposure and coronary atherosclerosis in Sweden. Methods: In the Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort, including 30,154 subjects aged 50-65 years, recruited between 2013 and 2018, coronary atherosclerosis was measured based on computer tomography (CT) scans as coronary artery calcium score, segment involvement score (SIS), and non-calcified plaques (NCP) at enrollment. Based on modified Nordic model, road-traffic noise exposure was modeled for 2000, 2013, and 2018 with interpolation for intermediate years. We investigated the association between time-weighted long-term exposure to road-traffic noise (Lden) and the prevalence of atherosclerosis using ordinal logistic regression models adjusting for potential socioeconomic, behavioral, and environmental confounders, including air pollution. Results: No clear associations were found between road-traffic noise and coronary atherosclerosis. The odds ratio for coronary artery calcium score was 1.00 (95% confidence interval [CI] = 0.96, 1.04), SIS 0.99 (0.96, 1.03), and NCP 0.98 (0.90, 1.03) per interquartile range (9.4 dB Lden) for road-traffic noise exposure during 10 years before enrollment. No consistent associations were observed in site-specific analyses or using shorter exposure periods. Furthermore, exposure-response analyses revealed no clear trends, and there were no strong interactions between road-traffic noise and cardiovascular risk factors in relation to the atherosclerosis markers. Conclusions: Long-term exposure to road-traffic noise was not linked to coronary atherosclerosis or calcification in relatively healthy, middle-aged populations in Sweden.

Road traffic injury among elderly people and its determinant factors: a cross-sectional study.

Background and aims: Injuries from Road Traffic Accidents (RTAs), particularly among vulnerable groups such as the elderly, are considered a significant public health concern. The aim of this study was to show epidemiology of RTIs among the elderly people in the Eastern Azerbaijan province of Iran. Method: This cross-sectional study included all patients over 60 years old who admitted to the Shohada Hospital from 2006 to 2016. Data were extracted from the Hospital Information System. Injuries types were classified based on the International Classification of Diseases (ICD-10). Descriptive statistics (Mean, median and frequency) and inferential statistics (The Pearson Chi-square test) were used for data analysis through SPSS-24 software. Results: A total of 3509 RTAs involving patients over 60 years old from 2006 to 2016. These traffic-related injuries comprised 15% of all recorded injuries (23,321 cases). The mean age of the patients was 69.91 ± 7.61 years, with a predominant male representation (2324 patients, 64.74%). The median Length of Stay (LOS) in hospital was 3 days. Injuries most commonly affected the knee and lower leg regions (27.5%). The most frequent types of accidents were those involving car passengers (40.47%) and pedestrians (36.33%). The majority of RTAs occurred during the summer season. There was a significant difference in the rate of RTAs based on variables such as sex, age, season, and LOS (p < 0.001). Conclusion: The study highlights traffic-related injuries among the elderly, mostly affecting the knee and lower leg regions, especially during the summer season. The efforts should include enhancing safety measures for car passengers and pedestrians, particularly during the high-risk summer months. Also, it emphasizes the need for public transportation to improve safety for older people due to lower accident rates and senior-friendly features.

Longitudinal relationship between posttraumatic cognitions and internalising symptoms in children and adolescents.

Background: Little is known about the naturalistic course of posttraumatic cognitions (PTCs) after exposure to a potentially traumatic event (PTE) in children and adolescents. Moreover, previous studies on the longitudinal associations of PTCs with internalising symptoms yielded mixed results.Objective: To explore the naturalistic courses and longitudinal associations of dysfunctional PTCs and functional PTCs with posttraumatic stress symptoms (PTSS), depression, and anxiety.Method: A total of 115 children and adolescents, aged 7-15 years, were assessed within 1 month, 3 months, and 6 months after exposure to an acute accidental PTE. Repeated measures analyses of variance were conducted to capture the naturalistic courses of PTCs and internalising symptoms. Cross-lagged panel analyses were applied to explore the longitudinal relationship between dysfunctional and functional PTCs, along with their longitudinal associations with PTSS, depression, and anxiety.Results: Dysfunctional PTCs and internalising symptoms decreased, whereas functional PTCs increased over time. Dysfunctional and functional PTCs were moderately inversely related, but no significant cross-lagged paths emerged among them. Dysfunctional PTCs were moderately to strongly associated with internalising symptoms, while functional PTCs were weakly to moderately inversely associated with internalising symptoms. Initial PTSS predicted later dysfunctional PTCs (ß = .31, p < .05), but not vice versa.Conclusions: Dysfunctional PTCs, functional PTCs, and internalising symptoms were entangled over time. Our findings support the cognitive scar model with initial PTSS predicting later dysfunctional PTCs. Future research complementing between-subject with within-subject analyses could offer additional insights into the longitudinal relationship between dysfunctional PTCs, functional PTCs, and psychological symptoms.

Dysfunctional posttraumatic cognitions and internalising symptoms naturally decreased, whereas functional posttraumatic cognitions naturally increased over a 6-month period following exposure to an acute accidental potentially traumatic event.Above the significant longitudinal associations of dysfunctional posttraumatic cognitions with internalising symptoms, functional posttraumatic cognitions were significantly inversely related to internalising symptoms over time.Posttraumatic stress symptoms assessed within 1 month after the potentially traumatic event predicted dysfunctional posttraumatic cognitions assessed 3 months after the potentially traumatic event, but not vice versa.

Assessing public trust in road traffic injuries prevention policies in Iran: a cross-sectional study.

INTRODUCTION AND OBJECTIVE: Road Traffic Injuries (RTIs) represent the predominant cause of morbidity and mortality globally. Thus, impactful interventions and trustworthy authorities are imperative to mitigate traffic accidents. The present study seeks to assess public trust in traffic accident diminution policies and measures within the country of Iran. METHOD: This cross-sectional study utilized a questionnaire comprising 31 questions distributed across eight dimensions. The questionnaire's design was informed by a literature review and semi-structured interviews with experts specializing in traffic accidents. The target population consisted of Tabriz city residents, who were selected via convenience sampling. The collected data were then analyzed using SPSS-16 software, employing the T-test, One-way ANOVA, and Pearson correlation coefficient to present the study's results. structural equation modeling (SEM) was conducted using R 4-4-2 programming language. RESULTS: A total of 681 participants completed the questionnaire, yielding a commendable response rate of 88.6%. The majority of participants were male (60.8%), and 86.2% identified as drivers, with 61.8% having experienced driving accidents. The overall score for public trust in RTIs policies was calculated to be 46.9%. The individual scores for specific domains of trust in traffic safety were as follows: safer roads (43.1%), safe vehicle (43.3%), safety laws (48.8%), safe user (51.1%), safe technology (51.5%), road safety management (46.8%). All the latent variables except education are significantly effective on public trust. CONCLUSION: The study findings indicate relatively low levels of public trust in RTIs policies among the Iranian population. These results emphasize the need for targeted interventions to enhance public confidence in specific aspects of traffic safety. Policymakers can use these insights to implement effective measures, thus contributing to the RTIs and the promotion of road safety in the country.

Visual function correlates of self-reported vision-related nighttime driving difficulties / La función visual se correlaciona con las dificultades de conducción nocturna relacionadas con la visión autoinformadas

Purpose: To investigate the visual function correlates of self-reported vision-related night driving difficulties among drivers. Methods: One hundred and seven drivers (age: 46.06 ± 8.24, visual acuity [VA] of 0.2logMAR or better) were included in the study. A standard vision and night driving questionnaire (VND-Q) was administered. VA and contrast sensitivity were measured under photopic and mesopic conditions. Mesopic VA was remeasured after introducing a peripheral glare source into the participants' field of view to enable computation of disability glare index. Regression analyses were used to assess the associations between VND-Q scores, and visual function measures. Results: The mean VND-Q score was -3.96±1.95 logit (interval scale score: 2.46±1.28). Simple linear regression models for photopic contrast sensitivity, mesopic VA, mesopic contrast sensitivity, and disability index significantly predicted VND-Q score (P<0.05), with mesopic VA and disability glare index accounting for the greatest variation (21 %) in VND-Q scores followed by photopic contrast sensitivity (19 %), and mesopic contrast sensitivity (15 %). A multiple regression model to determine the association between the predictors (photopic contrast sensitivity, mesopic VA, mesopic contrast sensitivity, and disability index) and VND-Q score yielded significant results, F (4, 102) = 8.58, P < 0.001, adj. R2 = 0.2224. Seeing dark-colored cars was the most challenging vision task. Conclusion: Changes in mesopic visual acuity, photopic and mesopic contrast sensitivity, as well as disability glare index are associated with and explain night driving-related visual difficulties. It is recommended to incorporate measurement of these visual functions into assessments related to driving performance.(AU)

Road Fatalities in Children Aged 0-17: Epidemiological Data and Forensic Aspects on a Series of Cases in a Single-Centre in Romania.

INTRODUCTION: Road Traffic Accidents (RTAs) are the leading cause of premature death in young people aged 5-29. Globally, 186,300 children aged 9 years and under die from RTAs each year. Romania had the highest mortality rate in children aged 0 to 14 for 2018-2020. This study aimed to assess the involvement of children aged 0-17 years in fatal RTAs by analyzing medico-legal autopsy records in a 5-year period at Timisoara Institute of Legal Medicine (TILM), Romania. MATERIALS AND METHODS: A retrospective analysis of medico-legal autopsy records of road fatalities in children aged 0-17 years, from TILM in a 5-year period (2017-2021), was conducted. RESULTS: Of all medico-legal autopsies in the 5-year period, 23 cases (5.8%) involved road fatalities in children aged 17 and under. Preschoolers accounted for 10 cases, followed by the age group 15-17 years (n = 9). Most children sustained fatal injuries as passengers (n = 13), followed by child pedestrians (n = 7). This research follows four representative cases, each being a different type of child road fatality regarding the type of road user, the age of the victim, and the involvement of other risk factors. CONCLUSIONS: Our findings emphasize the tragedy of road fatalities in children and the need to determine risk factors and prevention strategies to reduce the enormous global crisis involving these vulnerable victims.

Road traffic noise prediction model based on artificial neural networks.

This paper proposes a model based on machine learning for the prediction of road traffic noise for the city of Bogota-Colombia. The input variables of the model were: vehicle capacity, speed, type of flow and number of lanes. The input data were obtained through measurement campaigns in which audio and video recordings were made. The audio recordings, made with a measuring microphone calibrated at a height of 4 meters, made it possible to calculate the noise levels through software processing. On the other hand, by processing the video data, the capacity, and speed of the vehicle were obtained. This process was carried out by means of a classifier trained with images of vehicles taken in the field and free databases. In order to determine the machine learning algorithm to be used, five models were compared, which were configured with their respective hyperparameters obtained through mesh search. The results showed that the Multilayer Perceptron (MLP) regression had the best fit with an MAE of 0.86 dBA for the test data. Finally, the proposed MLP regressor was compared with some classical statistical models used for road traffic noise prediction. The main conclusion is that the MLP regressor obtained the best error and fit indicators with respect to traditional statistical models.

A Case Report on a Syndesmotic Ankle Injury Treated With Arthrex TightRope.

Syndesmotic ankle injuries, often referred to as "high ankle sprains," pose intricate challenges in orthopedic practice, particularly among athletes engaged in high-impact sports. Conventional treatments have encompassed conservative approaches and the use of syndesmotic screws, each beset by inherent limitations. The Arthrex TightRope system has emerged as a pioneering alternative, heralded for its capacity to facilitate physiologic micromotion, eliminate the necessity for hardware removal, and expedite early rehabilitation. This case report delineates the management of a 29-year-old male professional soccer player who suffered a trimalleolar ankle fracture compounded by a severe syndesmotic injury subsequent to a road traffic accident. The patient underwent a comprehensive treatment involving open reduction and internal fixation (ORIF) of all three malleoli, complemented by syndesmotic stabilization employing the Arthrex TightRope system. Post-operative care encompassed a regimen of gradual weight-bearing and methodical rehabilitation. At the one-year follow-up, the patient demonstrated excellent ankle joint function devoid of pain or complications related to hardware, underscoring the efficacy of managing syndesmotic and malleolar fractures successfully. This case underscores the potential advantages of integrating traditional ORIF techniques with contemporary syndesmotic fixation strategies like the TightRope system for complex ankle fractures, advocating for further research to refine their optimal utilization in clinical settings.

Descriptive analysis of road traffic crashes encountered by Tanzanian motorcycle taxi drivers trained in first aid.

Introduction: In Dar es Salaam, Tanzania, death from road traffic crashes (RTC) occurs at roughly double the global rate. In this study, we sought to understand the locations and types of vehicles involved in RTC in Dar es Salaam encountered by a cohort of motorcycle taxi drivers previously trained in first aid. Methods: This was a quasi-non-randomized interventional study, cohort subtype, with three-month follow-up. Some 186 motorcycle taxi drivers were selected by convenience sampling from 16 heavily populated, central wards and trained in a basic hemorrhage control course. Participants reported the location and types of vehicles involved in RTCs they encountered and intervened upon through performing bleeding control interventions. Surveys were designed on KoboToolbox and administered via phone call at monthly intervals over a three-month period. The main outcome measures were the location of crash encounters and types of vehicles involved. Results: In all 62 unique participants (33.3 %) encountered and provided bleeding control interventions to 83 injured individuals following 69 RTC in at least 31 distinct city wards, despite training only having occurred in 16 wards. Eight crash locations were not recorded. Crashes in distant wards typically contained major roads. Most commonly, crashes involved a motorcycle without the involvement of another vehicle (n=20), followed by motorcycle vs. car/three-wheeled vehicle (n=15), motorcycle vs. bus/van (n=10), motorcycle vs. motorcycle (n=9), motorcycle vs. pedestrian (n=7), pedestrian vs. bus/van (n=2), pedestrian vs. car/three-wheeled vehicle (n=1), motorcycle vs. bicycle (n=1), multi vehicle (n=1), and other (n=3). Conclusions: Motorcycle taxi drivers trained in hemorrhage control frequently encounter and intervene upon RTC in wards where they are based as well as in distant locations, commonly in wards containing major roads. Expanding first aid training for motorcycle taxi drivers could improve timely access to emergency care for RTC victims. Since most crashes involved motorcycles, road safety training should be integrated into future courses.

Road traffic accidents involvement among commercial taxi drivers in Nigeria: Structural equation modelling approach.

Taxis are essential to economic growth due to the ease and comfort they offer passengers. This is evident as most cities, especially in Africa, are dominated by taxis providing door-to-door services. However, their susceptibility to road traffic accidents (RTA) raises serious concerns due to their risky driving behaviours. In contrast, studies on taxi driver involvement in RTA due to their risky driving behaviours are sparse, especially in African countries. Consequently, the study examined the relationship between risky driving behaviour and traffic accident involvement among Nigerian commercial taxi drivers using the structural equation modeling (SEM) approach. Prior to the structural model analysis, the modified driver behaviour questionnaire (DBQ) was valid. This was assessed through the measurement model, and the results showed that the composite reliability, average variance extracted, and discriminant validity were greater than 0.7, greater than 0.5, and less than 0.90, respectively. Furthermore, the structural equation modeling results show that the driving violation and driving error constructs influenced road traffic accidents among taxi drivers, while inattention error was insignificant (p > 0.05). Although driving violations and errors significantly increase the chances of RTA among taxi drivers, driving violations had a more substantial influence than driving errors. Also, the regression coefficient indicates the risky driving behaviour of commercial taxi drivers accounts for 5.2 % of the RTAs in Nigeria. This research contributed to validating the DBQ for commercial taxi drivers in Nigeria, examining the influence of their driving violations, driving errors, and inattention errors on accident involvement and that inattention error may not necessarily influence accidents, which will aid policymakers in formulating mitigative strategies for RTA reductions. Moreso, it will guide driver trainers in curriculum development for specific commercial taxi driver training.

Household cost of road traffic accident-related injuries: A case study of St. Joseph Hospital, Koforidua in Ghana.

Road traffic accidents (RTAs) are a prominent contributor to both mortality and morbidity, particularly affecting individuals aged 5-29 years. Road traffic Injuries impose substantial physical and economic burden on individuals, households, and governments, particularly in African nations. Thus, our study focuses on assessing the economic cost of road traffic accidents within the context of St. Joseph Hospital, Koforidua. A cross-sectional survey was conducted at the Emergency Unit of the St. Joseph Hospital with a sample size of 291 patients. A patient perspective was used in costing the management of RTAs. Data was descriptively analyzed with Microsoft Excel with means and standard deviations estimated for direct, indirect, and intangible costs to the patient. Total direct and indirect cost of road traffic accidents were approximately GHS1,973,801.28 (US$164,483.44) and GHS520,309.46 (US$43,359.12) respectively which represents 79.1 % and 20.9 % of the total cost. The annual average economic cost for all cases was GHS8,570.83 (US$714.24). Intangible costs were also found to be high, with 54.2 % patients rating their RTA burden to be between mild to moderate, 10.8 % as moderate to severe and 1.4 % as severe. RTA cost burden is huge for all households. Uninsured patients bear significantly higher costs than insured patients. Intangible costs were also high, prompting the need to provide psychological care to RTA victims and their families. Concerted efforts should be directed at strict enforcement, training, improvement of road infrastructure and legislation to reduce or curb road traffic accidents in LMICs.

Management of Congenital Radioulnar Synostosis Fracture Following Road Traffic Accident: A Rare Case Report.

Introduction: Congenital radioulnar synostosis (CRUS) is a rare condition characterized by the fusion of the radius and ulna bones in the forearm, resulting in limited forearm rotational movement. Case Report: We present a unique case of a 26-year-old male who suffered a forearm injury following a road traffic accident. Initial evaluation revealed a malformed proximal radius and distal radioulnar joint, and the presence of radioulnar synostosis, along with a fracture at the junction of the radius and ulna. Open reduction internal fixation was performed, followed by structured rehabilitation. At 6-month follow-up, significant improvement in forearm motion was observed, enabling the patient to perform daily activities independently. Conclusion: This case underscores the importance of comprehensive evaluation in traumatic injuries and understanding the anatomy and function of the forearm complex. It also highlights the efficacy of surgical intervention and rehabilitation in restoring function and quality of life for patients with this rare condition. This report contributes to the limited literature on managing fractures in the context of CRUS and emphasizes the need for further research in this area.

Inherent uncertainty in pedestrian collision reconstruction: How evidence variability affects head kinematics and injury prediction.

Reconstructing individual cases from real-world collision data is used as a tool to better understand injury biomechanics and determine injury thresholds. However, real-world data tends to have inherent uncertainty within parameters, such as ranges of impact speed, pre-impact pedestrian stance or pedestrian anthropometric characteristics. The implications of this input parameter uncertainty on the conclusions made from case reconstruction about injury biomechanics and risk is not well investigated, with a 'best-fit' approach more frequently adopted, leaving uncertainty unexplored. This study explores the implications of uncertain parameters in real-world data on the biomechanical kinematic metrics related to head injury risk in reconstructed real-world pedestrian-car collisions. We selected six pedestrian-car cases involving seven pedestrians from the highly detailed GB Road Accident In-Depth Studies (RAIDS) database. The collisions were reconstructed from the images, damage measurements and dynamics available in RAIDS. For each case, we varied input parameters within uncertain ranges and report the range of head kinematic metrics from each case. This includes variations of reconstructed collision scenarios that fits within the constraints of the available evidence. We used a combination of multibody and finite element modelling in Madymo to test whether the effect of input data uncertainty is the same on the initial head-vehicle and latter head-ground impact phase. Finally, we assessed whether the predicted range of head kinematics correctly predicted the injuries sustained by the pedestrian. Varying the inputs resulted in a range of output head kinematic parameters. Real-world evidence such as CCTV footage enabled predicted simulated values to be further constrained, by ruling out unrealistic scenarios which do not fit the available evidence. We found that input data uncertainty had different implications for the initial head-vehicle and latter head-ground impact phase. There was a narrower distribution of kinematics associated with the head-vehicle impact (initial 400 ms of the collision) than in the latter head-ground impact. The mean head-vehicle kinematics were able to correctly predict the presence or absence of both subdural haematoma (using peak rotational acceleration) and skull vault fracture (using peak contact force) in all pedestrians presented. This study helps increase our understanding of the effects of uncertain parameters on head kinematics in pedestrian-car collision reconstructions. Extending this work to a broad range of pedestrian-vehicle collision reconstructions spanning broad population demographics will improve our understanding of injury mechanisms and risk, leading to more robust design of injury prevention measures.

A qualitative study on apparent and latent contributing factors to driving errors in Iran.

Road traffic crashes (RTCs) disproportionately impact low and middle-income countries (LMICs). Current interventions in LMICs primarily target road user behavior, neglecting systemic issues and casting drivers as mere contributors. Given Iran's unique cultural, financial, and social intricacies, this study aims to explore the latent causes of RTCs, prioritizing drivers' experiences and encompassing insights from various traffic system components. Applying a qualitative approach, data were collected through 46 semi-structured interviews with 38 participants, including drivers and experts from traffic-related organizations. Content analysis identified ten themes as contributing to driving errors. Direct factors included fatigue influenced by economic and occupational conditions, distraction from internal and external sources, reckless behaviors influenced by traffic culture and environment, and Inadequate driving skills due to training. Macro-scale challenges in road infrastructure, vehicle quality, education, and accident investigations were highlighted. The lack of a centralized traffic safety authority and a predominant focus on penalizing drivers overshadowed systemic issues. The study offers valuable insights into the complex interplay of factors contributing to driving errors in LMICs, advocating for a paradigm shift towards holistic, systemic interventions beyond individual driver behavior and challenging the conventional blame-centric view associated with driving errors.

The association between road traffic accidents and visual functions: A systematic review and meta-analysis.

BACKGROUND:  Poor visual functions have been reported to be related to the occurrence of road traffic accidents. AIM:  To review the association between visual function and road traffic accidents (RTAs) from published relevant empirical studies. SETTING:  Worldwide. METHODS:  A random effects (RE) model meta-analysis was conducted using STATA 18. Statistical tests conducted include meta-summary statistics, RE meta-analysis (forest plot), meta-regression (relationship between mean age and effect sizes), funnel plots, Egger's and Begg's tests for publication bias and small study effects. RESULTS:  A total of 17 relevant studies, which were either cross-sectional or observational by design, were included in the meta-analysis. Reported effect sizes were within computed confidence intervals (CI) at 95%. The computed Q test of homogeneity was 61.94. The overall mean effect size of 1.43 (95% CI of 0.985-1.883) was statistically significant at a 5% level (Z = 6.26; p  0.001). The I-squared = 62.17% (p = 0.00) confirmed moderate heterogeneity and the Q-value of 61.94 (p = 0.00) rejected the null hypothesis that the effect size was the same in all the studies. The funnel plot showed that the remaining majority of 13 studies were within the funnel plot on the right-hand side of the line of no effect. CONCLUSION:  These results provide evidence of associations between visual functions and RTAs, and highlight the need for targeted interventions and further research to address the challenges associated with impaired visual functions and road safety.Contributions: The study contributes to the understanding of the implications of visual functions for road safety.

Survival status and its predictors among adult victims of road traffic accident admitted to public hospitals of Bahir Bar City, Amhara regional state, Northwest, Ethiopia, 2023: multi center retrospective follow-up study.

INTRODUCTION: Road traffic accident is the most common cause of death in adults worldwide. Road traffic accident-related deaths increased from time to time in low- and middle-income countries including Ethiopia; however, there is limited evidence about Survival status and its predictors among adult victims of road traffic accidents admitted to Hospitals in Ethiopia specifically in the study area. Thus, this study aimed to assess Survival status and its predictors among adult victims of road traffic accident admitted to Hospitals. METHODS: An institutional-based retrospective follow-up study was conducted from July 01/2019 to June 30/2022. A total of 402 samples were chosen using simple random sampling. Data was collected by a prepared checklist from the victims' chart and entered into Epi-Data version 4.6 software and then exported to STATA version 14.1 for analysis. Kaplan-Meier failure function and log-rank test were computed. The assumption was checked by Schoenfeld residual test. All variables in bivariable analysis, p-value < 0.25 were entered into multivariable cox-regression model. Adjusted Hazard Ratio with 95% Confidence Interval was reported to declare the strength of association and statistical significance p-value of < 0.05. Model fitness was checked by using Cox-Snell residual. Data was presented by text, table, and graph. RESULT: The median survival time was 504 h. From all, 63(15.6%) deaths, 57% of deaths occurred between 24 and 168 h of follow-up with an overall incidence of 15.34deaths per10, 000 victims-hours observation. According to the Kaplan-Meier failure curve together with the log-rank test, the incidence density rate of death among victims who had a complication during admission was71.86per10,000victims-hour observation (95%, CI:53.66-96.25), which is different from those who did not have complication 5.17per10,000person-hour observation (95%, CI:3.26-8.21). The incidence density rate of death among victims who had low level of arterial oxygen saturation (SPO2 < 95%) during admission was 82.87per10, 000 victims-hour observation (95%, CI: 63.15-108.75), which is different from those who had arterial oxygen saturation ≥ 95% 3.16per10, 000victims -hour observation (95%, CI: 1.75-5.71) Develop complication (AHR = 3.1,95% CI:1.44-6.70), systolic blood pressure measurement value ≤ 89 mmHg (AHR = 2.4,95% CI:1.10-5.19), not admitted intensive care unit (AHR = 0.46,95% CI:0.022-0.97), Glasgow Coma Scale score ≤ 8 (AHR = 2.9,95% CI:1.07-7.75), Glasgow Coma Scale score 9-12(AHR = 3.8,95% CI:1.61-8.97) and, level of arterial oxygen saturation ≤ 95% (AHR = 6.5,95% CI:2.38-17.64) were predictors of outcome variable. CONCLUSION AND RECOMMENDATIONS: The median survival time was short. Complication, low systolic blood pressure measurement value, low Glasgow Coma Scale score, not admit to intensive care unit and low level of arterial oxygen saturation were significant predictors of the outcome variable. So that healthcare providers better give special attention and care to those victims admitted to Hospitals. A further prospective study is recommended.

A postmortem study of demographics and severity of thoracoabdominal injuries among patients attending a teaching hospital in northeast India.

Introduction: The global estimate reflects 4.4 million injury-related deaths every year and the thoracoabdominal region is frequently injured since it is a wide area. Methods: An autopsy-based cross-sectional study was conducted using a convenient sampling technique for three years. A Chi-square test was conducted for categorical variables. A P value of less than 0.01 was considered statistically significant. Results: Out of 80 cadavers, the male:female ratio was 1:0.31. The commonest age group was 20-29 years. Victims of road traffic accidents were 54 (67.5%) followed by falls from height 10 (12.5%). External thoracic injuries were commoner than internal and vice versa in abdominal injuries. Liver injuries were major in number. Combined thoracic-abdominal and associated injuries were observed in 67 (83.75%) victims. The commonest cause of death was craniocerebral injury combined with hemorrhagic shock (36.25%). Eighteen (22.5%) victims died on the spot having an Injury Severity Score (ISS) of 73.37 followed by a survival time of 1-7 days in 17 (21.25%) cases. A significant correlation was found between ISS and survival period. Conclusion: All thoracic and abdominal injuries represent a possible increase in morbidity and mortality; hence, working toward their prevention and timely intervention is necessary.

Exploring the perceived effectiveness and strictness of penalties for traffic offences: The influence of prior punishment experience and evaluation perspective (personal vs. general).

INTRODUCTION: Previous research has identified the perception of penalties as one of the most important deterrents to road traffic offenses. This study investigated whether the perceived effectiveness and the perceived strictness of penalties for different traffic offenses are associated with prior punishment experience and evaluation perspective (personal - if participants were being punished themselves, vs. general - for punishing all drivers). METHOD: A convenience sample of 1,374 Lithuanian drivers participated in the survey (56.3% males; aged 18-77 years). Among them, 801 participants had no penalties for traffic offenses, 333 reported monetary fines in the last year, and 240 reported having their drivers license suspended at least once in their driving career. A scale with 10 specific penalties for traffic offenses was developed to measure the perceived effectiveness and strictness of penalties. Half of the participants evaluated the penalties as if they were personally sanctioned for each traffic offense (personal perspective), while the other half assessed the effectiveness and strictness of the penalties for drivers in general. RESULTS: The results indicated that the perceived effectiveness of penalties was related to the evaluation perspective, being higher for changing one's own behavior than for changing behavior in general. However, the perceived effectiveness of penalties was not related to prior punishment experience. Males and drivers who had experienced their license being suspended reported the highest perceived strictness of the penalties, whereas females and drivers with no prior punishment experience perceived penalties as the least strict. PRACTICAL APPLICATIONS: These findings suggest the need for developing new ways of communicating penalties to different groups of drivers. Nevertheless, this research was exploratory in nature and further research is warranted.