title: How does casualty load affect trauma care in urban bombing incidents? A quantitative analysis.
abstract: BACKGROUND
  The aim of this modeling study was to examine how casualty load affects the level of trauma care in multiple casualty incidents and to define the surge capacity of the hospital trauma assets.
  
  
  METHODS
  The disaster plan of a U.S. Level I trauma center was translated into a computer model and challenged with simulated casualties based on 223 patients from 22 bombing incidents treated at an Israeli hospital. The model assigns providers and facilities to casualties and computes the level of care for each critical casualty from six variables that reflect the composition of the trauma team and access to facilities.
  
  
  RESULTS
  The model predicts a sigmoid-shaped relationship between casualty load and the level of care, with the upper flat portion of the curve corresponding to the surge capacity of the trauma assets of the hospital. This capacity is 4.6 critical patients per hour using immediately available assets. A fully deployed disaster plan shifts the curve to the right, increasing the surge capacity to 7.1. Overtriage rates of 50% and 75% shift the curve to the left, decreasing the surge capacity to 3.8 and 2.7, respectively.
  
  
  CONCLUSIONS
  This model defines the quantitative relationship between an increasing casualty load and gradual degradation of the level of trauma care in multiple casualty incidents, and defines the surge capacity of the hospital trauma assets as a rate of casualty arrival rather than a number of beds. The study demonstrates the value of dynamic computer modeling as an important tool in disaster planning.
authors.affiliation: Trauma Modeling Center, Ben Taub General Hospital and Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA. asherh@bcm.tmc.edu
authors.forename: Asher
authors.initials: A
authors.lastname: Hirshberg
authors.forename: Bradford G
authors.initials: BG
authors.lastname: Scott
authors.forename: Thomas
authors.initials: T
authors.lastname: Granchi
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Wall
authors.forename: Kenneth L
authors.initials: KL
authors.lastname: Mattox
authors.forename: Michael
authors.initials: M
authors.lastname: Stein
mesh_terms: D001753:Blast Injuries / Q000628:therapy*; D003198:Computer Simulation; D003666:Decontamination; D005107:Explosions / Q000706:statistics & numerical data; D006786:Hospitals, Urban / Q000458:organization & administration / Q000706:statistics & numerical data; D006801:Humans; D007557:Israel; D012769:Shock / Q000628:therapy; D013781:Texas; D014193:Trauma Centers / Q000458:organization & administration* / Q000706:statistics & numerical data; D014218:Triage / Q000458:organization & administration / Q000706:statistics & numerical data; D014754:Violence; D016526:Workload