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Table 3 Selection of variables for inclusion in multivariable models

From: Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department

Predictor variable

Incidence of variable selection

Wald test p-value

GCS (sum) model

GCS (components) model

AVPU model

GCS (sum) model

GCS (components) model

AVPU model

Location

50

50

50

0.002

0.004

0.003

Age

50

50

50

< 0.001

< 0.001

< 0.001

Gender

0

0

0

–

–

–

Resps

50

50

50

< 0.001

< 0.001

< 0.001

SpO2

50

50

50

< 0.001

< 0.001

< 0.001

Pulse

50

50

50

< 0.001

< 0.001

< 0.001

SBP

50

50

50

< 0.001

< 0.001

< 0.001

DBP

0

0

0

–

–

–

Temp

50

50

50

< 0.001

< 0.001

< 0.01

BM

1

1

0

0.86*

0.85*

0.87*

Skin

50

50

50

0.007

0.007

0.014

CBRT

0

0

0

–

–

–

RPupilReact

11

12

8

0.42*

0.41*

0.46*

RPupilSize

0

0

0

–

–

–

GCS_sum

50

NA

NA

< 0.001

NA

NA

GCS_eye

NA

0

NA

NA

–

NA

GCS_verbal

NA

50

NA

NA

< 0.001

NA

GCS_motor

NA

0

NA

NA

–

NA

AVPU

NA

NA

50

NA

NA

< 0.001

  1. SpO2 peripheral oxygen saturation, SBP systolic blood pressure, DBP diastolic blood pressure, Temp temperature (C), BM blood sugar mmol/L, CBRT capillary bed refill time, GCS Glasgow coma score, AVPU alert, verbal, pain or unresponsive
  2. *Did not reach statistical significance