Objective: The Crash Injury Research and Engineering Network (CIREN) database contains data from occupants who are seriously injured in motor vehicle crashes. Because of the number of injured occupants and the level of detail in CIREN, a number of previous studies have attempted to use CIREN data to estimate injury risk or relative risk by comparing the frequencies of CIREN occupants with an injury of interest to those without that injury. However, these comparisons provide little useful information because CIREN case occupants cannot provide the control and exposure information that is needed to appropriately estimate injury risk. One potential source of exposure/control information for CIREN is the database established by the National Automotive Sampling System-Crashworthiness Data System (NASS-CDS). However, using NASS-CDS for this purpose requires that NASS-CDS and CIREN cases are drawn from the same source population. The objective of this article is to assess whether this requirement is met. Methods: Occupants from NASS-CDS that meet CIREN inclusion criteria, termed CIREN-eligible NASS-CDS cases, were selected to represent the source population for CIREN. These CDS cases were compared to CIREN cases on a number of key variables that are used in many analyses of crash injury data. Comparisons were evaluated using chi-square tests. Results: The comparisons indicate that CIREN cases are similar to CIREN-eligible NASS-CDS cases on most variables, with some important exceptions. First, CIREN contains more frontal crashes than CIREN-eligible NASS-CDS. Second, there are fewer CIREN cases with two or more AIS 2 injuries and no AIS 3+ injuries than would be expected based on CIREN-eligible NASS-CDS. Finally, on average, occupants in CIREN have a greater number of AIS 3+ injuries, are less often belted in the front seat, and tend to be in higher severity crashes than occupants in CIREN eligible NASS-CDS. Discussion: These differences suggest that analyses aimed at estimating either relative risk of injury by comparing CIREN cases to base rates from NASS-CDS, or estimating risk of injury using control information from NASS-CDS, should be limited to a specific crash type and injury definition, and should only be performed for AIS 3+ injuries. In addition, analyses should account for the greater overall crash and injury severity of CIREN cases, at least in interpretation of the results.
[1]
F A Pintar,et al.
Identification of vehicle components associated with severe thoracic injury in motor vehicle crashes: a CIREN and NASS analysis.
,
2008,
Accident; analysis and prevention.
[2]
Joseph A Kufera,et al.
Risk factors associated with pelvic fractures sustained in motor vehicle collisions involving newer vehicles.
,
2006,
The Journal of trauma.
[3]
M. Szklo,et al.
Epidemiology: Beyond the Basics
,
1999
.
[4]
P C Dischinger,et al.
Factors influencing the patterns of injuries and outcomes in car versus car crashes compared to sport utility, van, or pick-up truck versus car crashes: Crash Injury Research Engineering Network Study.
,
2001,
The Journal of trauma.
[5]
Timothy C. Coburn,et al.
Statistical and Econometric Methods for Transportation Data Analysis
,
2004,
Technometrics.
[6]
J S Augenstein,et al.
Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury.
,
2000,
The Journal of trauma.
[7]
M. Dufour,et al.
Epidemiology. Introduction.
,
1995,
Recent developments in alcoholism : an official publication of the American Medical Society on Alcoholism, the Research Society on Alcoholism, and the National Council on Alcoholism.
[8]
Joel D Stitzel,et al.
A population-based comparison of CIREN and NASS cases using similarity scoring.
,
2007,
Annual proceedings. Association for the Advancement of Automotive Medicine.
[9]
Jennifer N Dang,et al.
Statistical Analysis of the Effectiveness of Electronic Stability Control (ESC) Systems - Final Report
,
2007
.
[10]
Peter Cummings,et al.
Misconceptions regarding case-control studies of bicycle helmets and head injury.
,
2006,
Accident; analysis and prevention.
[11]
J. Siegel,et al.
Spine and spinal cord injury in motor vehicle crashes: a function of change in velocity and energy dissipation on impact with respect to the direction of crash.
,
2005,
The Journal of trauma.
[12]
N. Breslow,et al.
Statistics in Epidemiology : The Case-Control Study
,
2008
.
[13]
M. Graffar.
[Modern epidemiology].
,
1971,
Bruxelles medical.