Background: Two of the important predictors of mortality for trauma patient
s are the Glasgow Coma Scale and the respiratory rate, However, for intubat
ed patients, the verbal response component of the Glasgow Coma Scale and th
e respiratory rate cannot be accurately obtained. This study extends previo
us work that attempts to predict mortality accurately for intubated patient
s without using verbal response and respiratory rate.
Methods: The New York State Trauma Registry was used to identify 1994 and 1
995 victims of motor vehicle crashes (MVCs). For the subset of patients who
were not intubated, we developed two statistical models to predict mortali
ty: one did not contain verbal response or respiratory rate, and the other
contained a predicted verbal response. These were compared with a model tha
t did include verbal response and respiratory rate. We also compared the pr
edictive abilities of the first two models for all MVC patients (intubated
and nonintubated) and determined the extent to which intubated patients wer
e at increased risk of dying in the hospital after hating adjusted for othe
r predictors of mortality.
Results: For nonintubated patients, the statistical model without verbal re
sponse and the model with predicted verbal response had slightly better dis
crimination and worse calibration than the model that included verbal respo
nse and respiratory rate. Predicted verbal response did not improve the str
ength of the model without verbal response, For all R-NC patients (intubate
d and nonintubated), predicted verbal response was not a significant predic
tor of mortality when used in combination with the other predictors. Intuba
tion status was a significant predictor, with intubated patients having a h
igher probability of dying in the hospital than patients with otherwise ide
ntical risk factors.
Conclusion: Inpatient mortality for intubated MVC patients can be accuratel
y predicted without respiratory rate or verbal response. There appears to h
e no need for predicted verbal response to be part of the prediction formul
a, but intubation status is an important independent predictor of mortality
and should be used in statistical models that predict mortality for MVC pa
tients.