The CIREN process combines prospective data collection with professional multidisciplinary analysis of medical and engineering evidence to determine injury causation in every crash investigation conducted.
The mission of the CIREN is to improve the prevention, treatment, and rehabilitation of motor vehicle crash injuries to reduce deaths, disabilities, and human and economic costs.
The current CIREN model utilizes two types of centers, medical and engineering. Medical centers are based at level one trauma centers that admit large numbers of people injured in motor vehicle crashes. These teams are led by experienced trauma surgeons and emergency physicians. The teams will also include a trained crash investigator and project coordinator. Engineering centers are based at academic engineering laboratories that have extensive experience in motor vehicle crash and human injury research. Engineering teams partner with trauma centers or emergency rooms to enroll crash victims into the CIREN program. Engineering teams are led by highly experienced mechanical engineers, typically trained in the area of biomechanics. Engineering teams also include trauma/emergency physicians, a crash investigator and a project coordinator. Either type of team typically includes additional physicians and/or engineers, epidemiologists, nurses and other researchers.
- Emory University – Atlanta, GA (enrolling patients at Grady Memorial Hospital)
- Inova Trauma Center – Falls Church, VA (also enrolling patients at the University of Virginia Medical Center and Winchester Medical Center)
- University of Alabama at Birmingham – Birmingham, AL
- University of Maryland R Adams Cowley Shock Trauma Center – Baltimore, MD
- Wake Forest Baptist Medical Center – Winston-Salem, NC
- Emory University Department of Emergency Medicine – Atlanta, GA
- Medical College of Wisconsin Department of Neurosurgery – Milwaukee, WI
- University of Virginia Center for Applied Biomechanics – Charlottesville, VA
- Virginia Tech - Wake Forest University Center for Injury Biomechanics – Winston-Salem, NC
- Children’s Hospital of Philadelphia (2005-2010)
- Children’s National Medical Center (1997-2005)
- County of San Diego (1997-2010)
- University of Medicine and Dentistry of New Jersey (1997-2005)
- University of Miami Jackson Memorial Hospital (1997-2005)
- University of Michigan (1997-2005)
- University of Washington Harborview Medical Center (1997-2016)
The CIREN Program has its origin based on a recommendation from the National Academy of Sciences in their 1985 publication “Injury in America”. Among the recommendations detailed in this book was the request to have injury studied in cooperation by a multidisciplinary group consisting of experts from engineering, medicine and other appropriate professions. This multidisciplinary approach is the keystone of the CIREN program. CIREN teams act in four capacities throughout the course of the program –
- Sentinel - Initial detection of environmental, technical or human factors that are related to injury causation in motor vehicle crashes
- Data Collection – Routine collection of over 1,000 data points on every crash investigated; detailed data on occupant injury, vehicle damage and restraint technology and crash environment
- Expert Review – Each CIREN case is reviewed together by both medical and engineering professionals, along with the crash investigator, to determine injury causation and data accuracy
- Research Catalyst – CIREN researchers are also frontline caregivers and crash lab experts who can generate research endeavors that are directly related to the current medical, socio-economic and technical issues being experienced in the field.
CIREN has contributed significant research findings to an array of safety issues pursued by NHTSA over the last decade.
Injury Differences Between Small and Large Overlap Frontal Crashes. 55th Annual AAAM Conference. Paris, France; 2011: 147-157
ABSTRACT – Because small overlap impacts have recently emerged as a crash mode posing great injury risk to occupants, a detailed analysis of US crash data was conducted using the NASS/CDS and CIREN databases. Frontal crashes were subcategorized into small overlap impact (SOI) and large overlap impact (LOI) using crash and crush characteristics from the datasets. Injuries to head, spine, chest, hip and pelvis, and lower extremities were parsed and compared between crash types. MAIS 3+ occupants in NASS/CDS and CIREN demonstrated increased incidence of head, chest, spine, and hip/pelvis injuries in SOI compared to LOI. In NASS/CDS, subgaleal hematoma represented 48.6% of SOI head injury codes but 27.6% in LOI. Cervical spine posterior element fractures also represented greater proportions of SOI spine injuries (e.g., facet fractures: 27.8 vs. 14.0%), and proximal femur fractures represented a greater proportion of hip/pelvis injuries (e.g., intertrochanteric fracture: 32.5 vs. 11.8%). Tarsal/metatarsal fractures were a lesser proportion of lower extremity injuries in SOI compared to LOI. Occupant contact points inducing these injuries were observed in CIREN cases in some instances without compartment intrusion. These injuries suggest the substantial role of occupant kinematics in SOI which may induce suboptimal occupant restraint interaction.
BioTab-A New Method for Analyzing and Documenting Injury Causation in Motor-Vehicle Crashes', Traffic Injury Prevention, 12: 3, 256 - 265
Objective: To describe a new method for analyzing and documenting the causes of injuries in motor vehicle crashes that has been implemented since 2005 in cases investigated by the Crash Injury Research Engineering Network (CIREN). Methods: The new method, called BioTab, documents injury causation using evidence from in-depth crash investigations. BioTab focuses on developing injury causation scenarios (ICSs) that document all factors considered essential for an injury to have occurred as well as factors that contributed to the likelihood and/or severity of an injury. The elements of an injury causation scenario are (1) the source of the energy that caused the injury, (2) involved physical components (IPCs) contacted by the occupant that are considered necessary for the injury to have occurred, (3) the body region or regions contacted by each IPC, (4) the internal paths between body regions contacted by IPCs and the injured body region, (5) critical intrusions of vehicle components, and (6) factors that contributed to the likelihood and/or the severity of injury.
Results: Advantages of the BioTab method are that it
- attempts to identify all factors that cause or contribute to clinically significant injuries,
- allows for coding of scenarios where one injury causes another injury,
- associates injuries with a source of energy and allows injuries to be associated with sources of energy other than the crash, such as air bag deployment energy,
- allows for documenting scenarios where an injury was caused by two different body regions contacting two different IPCs,
- identifies and documents the evidence that supports ICSs and IPCs,
- assigns confidence levels to ICSs and IPCs based on available evidence, and
- documents body region and organ/component-level "injury mechanisms" and distinguishes these mechanisms from ICSs. Conclusion: The BioTab method provides for methodical and thorough evidenced-based analysis and documentation of injury causation in motor vehicle crashes.
Severe-to-fatal head Injuries in motor vehicle impacts. Accident Analysis and Prevention, 42(4):1370-1378, 2010.
Severe-to-fatal head injuries in motor vehicle environments were analyzed using the United States Crash Injury Research and Engineering Network database for the years 1997-2006. Medical evaluations included details and photographs of injury, and on-scene, trauma bay, emergency room, intensive care unit, radiological, operating room, in-patient, and rehabilitation records. Data were synthesized on a case-by-case basis. X-rays, computed tomography scans, and magnetic resonance images were reviewed along with field evaluations of scene and photographs for the analyses of brain injuries and skull fractures. Injuries to the parenchyma, arteries, brainstem, cerebellum, cerebrum, and loss of consciousness were included. In addition to the analyses of severe-to-fatal (AIS4+) injuries, cervical spine, face, and scalp trauma were used to determine the potential for head contact. Fatalities and survivors were compared using nonparametric tests and confidence intervals for medians. Results were categorized based on the mode of impact with a focus on head contact. Out of the 3178 medical cases and 169 occupants sustaining head injuries, 132 adults were in frontal (54), side (75), and rear (3) crashes. Head contact locations are presented for each mode. A majority of cases clustered around the mid-size anthropometry and normal body mass index (BMI). Injuries occurred at change in velocities (_V) representative of US regulations. Statistically significant differences in_V between fatalities and survivors were found for side but not for frontal impacts. Independent of the impact mode and survivorship, contact locations were found to be superior to the center of gravity of the head, suggesting a greater role for angular than translational head kinematics. However, contact locations were biased to the impact mode: anterior aspects of the frontal bone and face were involved in frontal impacts while temporal-parietal regions were involved in side impacts. Because head injuries occur at regulatory _V in modern vehicles and angular accelerations are not directly incorporated in crashworthiness standards, these findings from the largest dataset in literature, offer a field-based rationale for including rotational kinematics in injury assessments. In addition, it may be necessary to develop injury criteria and evaluate dummy biofidelity based on contact locations as this parameter depended on the impact mode. The current field-based analysis has identified the importance of both angular acceleration and contact location in head injury assessment and mitigation.
Appropriate Analysis of CIREN Data: Using NASS-CDS to Reduce Bias in Estimation of Injury Risk Factors in Passenger Vehicle Crashes, Analysis and Prevention, 42:530-539, 2010.
The Crash Injury Research Engineering Network (CIREN) database contains detailed medical and crash information on a large number of severely injured occupants in motor vehicle crashes. CIREN's major limitation for stand-alone analyses to explore injury risk factors is that control subjects without a given injury type must have another severe injury to be included in the database. This leads to bias toward the null in the estimation of risk associations. One method to cope with this limitation is to obtain information about occupants without a given injury type from the National Automotive Sampling System's Crashworthiness Data System (NASS-CDS), which is a probability sample of tow-away crashes, containing similar crash information, but less medical detail. Combining CIREN and NASS-CDS in this manner takes advantage of the increased sample size when outcomes are available in both datasets; otherwise NASS-CDS can serve as a sample of controls to be combined with CIREN cases, possibly under a sensitivity analysis that includes and excludes NASS-CDS subjects whose status as a control is uncertain. Because CIREN is not a probability sample of crashes that meet its inclusion criteria, we develop a method to estimate the probability of selection for the CIREN cases using data from NASS-CDS. These estimated probabilities are then used to compute "pseudo-weights" for the CIREN cases. These pseudo-weights not only allow for reduced bias in the estimation of risk associations, they allow direct prevalence estimates to be made using medical outcome data available only in CIREN. We illustrate the use of these methods with both simulation studies and application to estimation of prevalence and predictors of AIS 3+ injury risk to head, thorax, and lower extremity regions, as well as prevalence and predictors of acetabular pelvic fractures. Results of these analyses demonstrate combining NASS and CIREN data can yield improvements in mean square error and nominal confidence interval coverage over analyses that use either the NASS-CDS or the CIREN sample alone.
These two reports provide descriptions of the NHTSA/CIREN Network, each of the CIREN centers, the research teams, and their work. These two reports summarize the contributions to auto safety produced by CIREN center researchers.
CIREN electronic cases
The CIREN database consists of multiple discrete fields of data concerning severe motor vehicle crashes, including crash reconstruction and medical injury profiles. Personal and location identifiers and highly sensitive medical information have been removed from the public files to protect patient confidentiality. CIREN cases, extending back to 1996, for which coding and quality control have been completed, are available for public viewing. Additional cases are released to the public as they become available.
The following case filters can search the available CIREN cases by using an array of variables to allow for specific cases to be retrieved. The filters include vehicle based criteria such as make, model and model year of the case vehicle. Vehicle damage criteria like crash type, angle of impact, change in velocity and rollover status are searchable. Occupant data including seating position, age, height, weight and gender of the case occupant can be used for specifying case types. Occupant injury data based on body region injured, injury severity or actual injury code may also be used to view applicable cases.
CIREN data sets
The CIREN public data set contains cases with crash dates between June 1, 2005, and December 31, 2016, that have undergone the complete quality control process. A portion of the data is provided in SAS files similar to those prepared for National Automotive Sampling System – Crashworthiness Data System (NASS-CDS) annual releases, though several CIREN-specific SAS files have been created to disseminate the additional occupant and injury causation data that CIREN collects. The data files are provided with a CIREN data dictionary to facilitate their use, though users may also require NASS-CDS Analytical User’s Manual(s) to fully comprehend the data.
- CIREN data files (downloadable ZIP file)
ZIP file posted September 7, 2018 with Data Dictionary v1.2.1 applicable to the 2016 data release (includes repair of missing data in OA file)