The objective of this study was to evaluate outcomes of patients involved in rollover accidents in non-automobile vehicles in a rural level I trauma center. This was a retrospective study including a total of 127 patients over 5 years who were admitted to our level I trauma center following rollover accidents in either of the following: ATV, lawnmower, or tractor. Patients were significantly older in the tractor and lawnmower rollover groups, and patients less than 65 years old were significantly more likely to sustain an injury in a rollover accident when compared to those greater than 65. Patients with extremity fractures secondary to tractor rollovers were more likely to be older, and patients who sustained spinal injuries secondary to tractor rollovers were more likely to be younger. Non-automobile rollovers have the potential to cause traumatic injuries; however, there does not appear to be 1 vehicle type that is more prone to injury.

Download full-text PDF

Source
http://dx.doi.org/10.1177/00031348231161662DOI Listing

Publication Analysis

Top Keywords

rollover accidents
12
level trauma
12
trauma center
12
secondary tractor
8
tractor rollovers
8
patients
6
rollover
5
impact non-automobile
4
non-automobile rollover
4
accidents patient
4

Similar Publications

Background: Agriculture is a hazardous industry, with tractor-related incidents being among the leading causes of traumatic injury and death. These injuries tend to take place far away from hospitals, thus leading to increased prehospital time to receive care. Understanding the relationship between prehospital time and outcomes such as hospital length of stay and mortality in the state of Nebraska could inform resource allocation for tractor related injuries.

View Article and Find Full Text PDF

Introduction: Several studies suggest a causal link between psychoactive agents and motor vehicle accidents (MVA). This study aimed to evaluate the impact of substance abuse and alcohol intoxication on the prognosis of high-speed MVA victims.

Methods: This is a single-center retrospective cross-sectional study involving adult multiple trauma cases who were admitted to the emergency department for high-speed MVA and underwent toxicological screening.

View Article and Find Full Text PDF
Article Synopsis
  • Single-vehicle crashes, particularly those caused by speeding, lead to more fatalities and serious injuries than other crash types, making it essential to study their causes.
  • The research utilizes data from the National Highway Traffic Safety Administration between 2016 and 2018 and employs machine learning models like XGBoost and Random Forest, along with a mixed logit model, to analyze factors influencing driver injury severity.
  • Key factors identified include driver demographics, reckless driving, restraint usage, roadway characteristics, environmental conditions, vehicle types, crash scenarios, and specific time periods, highlighting the need for better driving behavior and roadway design to reduce speeding and related injuries.
View Article and Find Full Text PDF

Correcting for endogeneity of crash type in crash injury severity at highway ramp areas.

Accid Anal Prev

December 2024

Center for Connected and Automated Transportation (CCAT), and Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States.

Crash type, a key contributory factor of crash injury severity level, is typically included in crash severity models as an explanatory variable. However, certain unobserved factors could influence both the crash type and crash injury severity simultaneously. As such, there could exist an endogenous effect of crash type on crash injury severity.

View Article and Find Full Text PDF

Objective: Electronic Stability Control (ESC) is a standard feature on most modern cars, due to its reported efficiency to reduce the number of crashes of several types. However, empirical studies of safety effects of ESC for passenger vehicles have not considered some methodological problems that might have inflated the effects. This includes self-selection of drivers who buy/use ESC and behavioral adaptation to the system over long time periods, but also the dominant method of induced exposure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!