A method for linking motor vehicle victim and collision data collected by multiple county agencies.

OBJECTIVE: This study assessed roadside and bedside factors associated with early mortality following motor vehicle trauma. METHODS: This retrospective cohort study evaluated motor vehicle crashes in Orange County Florida in 2009 that became medical examiner cases. Data from the Department of Highway Safety and Motor Vehicles (DHSMV), emergency medical services (EMS), a level I trauma center, and the medical examiner were integrated for the analysis. The primary outcome measure was early death, defined by death within 48 hours of a motor vehicle trauma. Both traditional and nontraditional predictors of early mortality were assessed. RESULTS: The most significant factors associated with early mortality were as follows: (1) From autopsy: hemothorax (odds ratio [OR] = 8.26, 95% confidence interval [CI]: 1.83-37.3) and liver injury (OR = 4.26, 95% CI: 1.70-15.6); (2) from hospital data: systolic blood pressure (OR = 0.98, 95% CI: 0.96-0.99) and having cardiopulmonary resuscitation (CPR) performed in the emergency department (OR = 13.4, 95% CI: 1.51-118.72); and (3) from DHSMV: involvement of drugs and/or alcohol (OR = 4.27, 95% CI: 1.33-13.6), total fatalities (OR = 6.07, 95% CI: 1.57-23.5), speed of vehicle (OR = 1.06, 95% CI: 1.02-1.09), and number of lanes at the crash scene (OR = 1.58, 95% CI: 1.13-2.20). CONCLUSION: These results were made possible by integrating 4 distinct data sources. As future research in traffic-related injury moves toward prevention, it will be critical to evaluate new preventative strategies quickly and effectively. A unique number that is both patient and event specific that could be incorporated into each of these databases would make such integration seamless. Successful methods for linking data collected by the multiple agencies involved in motor vehicle collisions will ultimately provide invaluable information for medical personnel, researchers, engineers, planners, and policy makers at the local, state, and national levels to identify safety priorities to reduce crash-related injuries and fatalities.

Eshkol-Wachman movement notation in diagnosis: the early detection of Asperger's syndrome.

The diagnostic criteria of Asperger's syndrome (AS), considered a part of the autistic spectrum disorder, are still unclear. A critical marker, which distinguishes AS from autism, is the presence of language. The ability of a child with AS to acquire and use language early results in the fact that AS usually is diagnosed much later than autism. Autism is not usually diagnosed until around the age of 3, whereas AS usually is not diagnosed until the child is 6 or 7 years of age. In the present article, using Eshkol-Wachman movement notation, we present evidence that abnormal movement patterns can be detected in AS in infancy. This finding suggests that AS can be diagnosed very early, independent of the presence of language. As shown earlier by us, almost all of the movement disturbances in autism can be interpreted as infantile reflexes "gone astray"; i.e., some reflexes are not inhibited at the appropriate age in development, whereas others fail to appear when they should. This phenomenon appears to apply to AS as well. Based on preliminary results, a simple test using one such reflex is proposed for the early detection of a subgroup of children with AS or autism.