Factors affecting injury severity of vehicle occupants following road traffic collisions.

AIM We aimed to define factors affecting injury severity of vehicle occupants following road traffic collisions (RTC). PATIENTS AND METHODS 422 vehicle occupants (343 males, 81.3%) with RTC-related injuries were prospectively studied over 18 months. General linear model was used to test the effect of age, gender, alcohol and drug use, time of injury, mechanism of injury, size and speed of the vehicle, position in the vehicle, seatbelt usage, and air bag deployment on the Injury Severity Score (ISS) of the vehicle occupants. RESULTS The mean (range) age of patients was 28.2 (1-78) years and the mean (range) ISS was 7.9 (1-50). Front impact was the most common mechanism of injury (32.9%) followed by rollover (25.6%) and side impact (22.3%). 18.2% used seatbelts. The general linear model was highly significant and showed that mechanism of injury (p<0.0001), speed of the vehicle (p=0.02), and age of the vehicle occupant (p=0.03) significantly affected the Injury Severity Score. CONCLUSIONS The mechanism of the RTC, the vehicle speed, and age of the vehicle occupant are the most important factors affecting the severity of road traffic collision injuries. A detailed history of the mechanism of injury is important for alerting clinicians to severity of injury, the need for admission, and workup of the patients. Furthermore, strict speed limit enforcement is an injury prevention priority in our community.

[1]  F. Mannering,et al.  The effects of road-surface conditions, age, and gender on driver-injury severities. , 2011, Accident; analysis and prevention.

[2]  H. Eid,et al.  Biomechanics of road traffic collision injuries: a clinician's perspective. , 2007, Singapore medical journal.

[3]  Carlo Giacomo Prato,et al.  Analyzing the relationship between car generation and severity of motor-vehicle crashes in Denmark. , 2013, Accident; analysis and prevention.

[4]  Dominique Lord,et al.  The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. , 2011, Accident; analysis and prevention.

[5]  Fikri M Abu-Zidan,et al.  Seatbelts and road traffic collision injuries , 2011, World journal of emergency surgery : WJES.

[6]  Matthew P Reed,et al.  Comparing the effects of age, BMI and gender on severe injury (AIS 3+) in motor-vehicle crashes. , 2014, Accident; analysis and prevention.

[7]  R Cuerden,et al.  The relationship between speed and car driver injury severity , 2009 .

[8]  Fikri M Abu-Zidan,et al.  Sleep-related collisions in United Arab Emirates. , 2013, Accident; analysis and prevention.

[9]  Young-Jun Kweon,et al.  Driver injury severity: an application of ordered probit models. , 2002, Accident; analysis and prevention.

[10]  Jeff Miller,et al.  Statistical Analysis with The General Linear Model 1 , 2006 .

[11]  Wei Wang,et al.  Predicting crash likelihood and severity on freeways with real-time loop detector data. , 2013, Accident; analysis and prevention.

[12]  F. Abu-Zidan,et al.  Factors affecting the severity of horse-related injuries. , 2003, Injury.

[13]  M Mackay,et al.  Engineering in accidents: vehicle design and injuries. , 1994, Injury.

[14]  C J O'Donnell,et al.  Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice. , 1996, Accident; analysis and prevention.

[15]  Wan Ariffin Bin Abdullah Singapore Med J , 1993 .

[16]  S. Fisher,et al.  Lateral automobile impacts and the risk of traumatic brain injury. , 2004, Annals of emergency medicine.

[17]  W. Donaldson,et al.  Cervical Spine Injuries Associated With the Incorrect Use of Airbags in Motor Vehicle Collisions , 2008, Spine.

[18]  Christopher D Mack,et al.  Predicting severe injury using vehicle telemetry data , 2013, The journal of trauma and acute care surgery.

[19]  H. Eid,et al.  Effects of Seat Belt Usage on Injury Pattern and Outcome of Vehicle Occupants After Road Traffic Collisions: Prospective Study , 2012, World Journal of Surgery.

[20]  George Yannis,et al.  Road Casualties and Enforcement: Distributional Assumptions of Serially Correlated Count Data , 2007, Traffic injury prevention.

[21]  D. S. Bernstein,et al.  The impact of airbags and seat belts on the incidence and severity of maxillofacial injuries in automobile accidents in New York State. , 2001, Archives of otolaryngology--head & neck surgery.

[22]  H. Eid,et al.  Effects of Vehicle Size on Pedestrian Injury Pattern and Severity: Prospective Study , 2012, World Journal of Surgery.

[23]  Worku Y. Mergia,et al.  Exploring factors contributing to injury severity at freeway merging and diverging locations in Ohio. , 2013, Accident; analysis and prevention.

[24]  K John McConnell,et al.  Seat position and the risk of serious thoracoabdominal injury in lateral motor vehicle crashes. , 2005, Accident; analysis and prevention.