Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content

Table 2 Results of linear regression analysis predicting time to RSI from either EDRSI or PHRSI

From: Helicopter emergency medical services demonstrate reduced time to emergency anaesthesia in an undifferentiated trauma population: a retrospective observational analysis across three major trauma networks

Variable

β

SE

t

95%CI

Location

57.33

9.47

6.05

−31.07 − 13.87

ISS

−0.30

0.19

−1.62

−0.68 − 0.06

GCS

2.26

0.53

4.24

1.21 – 3.31

Age

0.51

0.10

5.13

0.31 – 0.71

  1. The adjusted R-squared for the model was 0.265, indicating that the model explains approximately 26.5% of the variance in intubation time after accounting for the number of predictors in the model. SE = standard error. β = standardized coefficient. t = t statistic. *Statistical significance at  p < 0.05. CI Confidence interval. ISS Injury severity score, GCS Glasgow coma score