Prevalence and Socio-Economic Determinants of Disabilities Caused by Road Traffic Accidents in Iran; A National Survey

Prognostic factors in traumatic brain injuries in emergency department

Background

Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in young adults. The Extended Glasgow Outcome Score (GOSE) has been introduced to assess the global outcome after brain injuries. Therefore, we aimed to evaluate the prognostic factors associated with GOSE.

Materials and Methods

This was a multicenter cross-sectional study conducted on 144 patients with TBI admitted at trauma emergency centers. The patients' information, including demographic characteristics, duration of hospital stay, mechanical ventilation and on-admission laboratory measurements, and on-admission vital signs, were evaluated. The patients' TBI-related symptoms and brain computed tomography (CT) scan findings were recorded.

Results

GOSE assessments showed an increasing trend by the comparison of on-discharge (7.47 ± 1.30), within a month (7.51 ± 1.30) and within 3 months (7.58 ± 1.21) evaluations (P < 0.001). On-discharge GOSE was positively correlated with Glasgow Coma Scale (GCS)(r = 0.729, P < 0.001), motor GCS (r = 0.812, P < 0.001), Hb (r = 0.165, P = 0.048), and pH (r = 0.165, P = 0.048) and inversely with age (r = -0.261, P = 0.002), hospitalization period (r = -0.678, P < 0.001), pulse rate (r = -0.256, P = 0.002), white blood cell (WBC) (r = -0.222, P = 0.008), and triglyceride (r = -0.218, P = 0.009). In multiple linear regression analysis, the associations were significant only for GCS (B = 0.102, 95% confidence interval [CI]: 0-0.202; P = 0.05), hospitalization stay duration (B = -0.004, 95% CI: -0.005--0.003, P = 0.001), and WBC (B = 0.00001, 95% CI: 0.00000014-0.000025; P = 0.024). Among imaging signs and trauma-related symptoms in univariate analysis, intracranial hemorrhage (ICH), interventricular hemorrhage (IVH) (P = 0.006), subarachnoid hemorrhage (SAH) (P = 0.06; marginally at P < 0.1), subdural hemorrhage (SDH) (P = 0.032), and epidural hemorrhage (EDH) (P = 0.037) was significantly associated with GOSE at discharge in multivariable analysis.

Conclusion

According to the current study findings, GCS, hospitalization stay duration, WBC and among imaging signs and trauma-related symptoms ICH, IVH, SAH, SDH, and EDH are independent significant predictors of GOSE at discharge in TBI patients.

The prevalence of long-term rehabilitation following motor-vehicle crashes in Saudi Arabia: a multicenter study

Introduction

In Saudi Arabia, motor-vehicle crashes (MVC) are the leading cause of disability-adjusted life years (DALYs). There is limited information locally on the magnitude and need for rehabilitation following MVC. This study examined the prevalence of MVC patients requiring long-term rehabilitation and the epidemiology of associated injuries.

Methods

A retrospective study was conducted at four hospitals of the National Guard Hospitals Affairs from January 2016 to March 2019. The study used data from an institutional trauma registry of all MVC admissions. Chi-square tests, bivariate and multivariate analyses were conducted to compare patients requiring long-term and short-term rehabilitation.

Results

The study included 506 patients. The study population was relatively young, with an average age was 32.8 ± 15.5 years, and the majority were males. Over two-thirds (71.3%) of patients required long-term rehabilitation. Half the patients sustained multiple fractures, and 17.0% sustained traumatic brain injuries. Overall, 53.1 and 61.8% of patients required occupational and physiotherapy, respectively. Those admitted to the intensive care unit were four times more likely to need long-term rehabilitation.

Conclusions

We found a significant burden of long-term rehabilitation following MVC. Patients were relatively young, thus posing a significant burden on future healthcare utilization. Policymakers should use these findings to guide primary, secondary, and tertiary prevention to improve health outcomes.

Functional Capacity Index: cultural adaptation and measurement of validity and reliability

OBJECTIVE

To carry out a cultural adaptation of the Functional Capacity Index (FCI) into Portuguese and to verify its reliability and validity in traffic accident victims.

METHOD

Methodological study for cultural adaptation of the FCI. Reliability and validity were verified in a convenience sample of traffic accident victims, in São Paulo city. Data from the patient's medical record were collected retrospectively in 2015. Reliability verified by Cronbach's alpha coefficient and validity by Spearman's correlation and Mann-Whitney test.

RESULTS

The FCI in Portuguese was applied to 50 traffic accident victims. The internal consistency reached Cronbach's alpha values >0.70. The FCI correlated with the Katz index, did not correlate with the severity of trauma and the FCI of trauma patients was higher compared to those without trauma.

CONCLUSION

The FCI in Portuguese showed satisfactory internal consistency, allowing the measurement of functional capacity, discriminating against people with and without traumatic injuries.

Individual prediction of motor vehicle accidents for patients with epilepsy

The objective of the study was to design a clinically useful tool to predict the risk of seizure-related motor vehicle accidents (MVAs) for people with epilepsy (PWE). Participants were patients who visited our epilepsy center in West China Hospital from October 2012 to October 2019 and were divided into a primary cohort and a validation cohort. Ultimately, we included 525 patients in the primary cohort and 86 patients in the validation cohort. Proportional hazard regression was performed to measure the prognostic factors of car accidents. The outcome was used to create a nomogram model. The final model had 7 factors, with a C-index of 0.85 (95% CI, 0.80-0.91), to predict the possibility of non-MVA for PWE. For the validation cohort, the C-index was 0.83 (95% CI, 0.72-0.95). This nomogram model can offer more individualized advice to PWE who are still driving by estimating the risk of car accidents.

Socioeconomic Status, Health and Lifestyle Settings as Psychosocial Risk Factors for Road Crashes in Young People: Assessing the Colombian Case

The social determinants of health influence both psychosocial risks and protective factors, especially in high-demanding contexts, such as the mobility of drivers and non-drivers. Recent evidence suggests that exploring socioeconomic status (SES), health and lifestyle-related factors might contribute to a better understanding of road traffic crashes (RTCs). Thus, the aim of this study was to construct indices for the assessment of crash rates and mobility patterns among young Colombians who live in the central region of the country. The specific objectives were developing SES, health and lifestyle indices, and assessing the self-reported RTCs and mobility features depending on these indices. A sample of 561 subjects participated in this cross-sectional study. Through a reduction approach of Principal Component Analysis (PCA), three indices were constructed. Mean and frequency differences were contrasted for the self-reported mobility, crash rates, age, and gender. As a result, SES, health and lifestyle indices explained between 56.3–67.9% of the total variance. Drivers and pedestrians who suffered crashes had higher SES. A healthier lifestyle is associated with cycling, but also with suffering more bike crashes; drivers and those reporting traffic crashes have shown greater psychosocial and lifestyle-related risk factors. Regarding gender differences, men are more likely to engage in road activities, as well as to suffer more RTCs. On the other hand, women present lower healthy lifestyle-related indices and a less active implication in mobility. Protective factors such as a high SES and a healthier lifestyle are associated with RTCs suffered by young Colombian road users. Given the differences found in this regard, a gender perspective for understanding RTCs and mobility is highly suggestible, considering that socio-economic gaps seem to differentially affect mobility and crash-related patterns.