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. 2018 Aug 2;219(1):121–132. doi: 10.1093/infdis/jiy459

Table 4.

Multivariable Models to Predict Illness Severity in Mice Challenged with Escherichia coli Isolates

E. coli Set UPECHM/ExPECJJ Considered?a Methodb Model No. Adjusted r2 Variablec β P d
Total (n = 292) No or yese Forced NAf .39 fyuA 0.35 <.001
K1 0.21 <.001
kpsM II 0.11 .10
papAH 0.06 .26
usp 0.06 .40
Group B1 0.003 .96
Stepwise 1 .33 fyuA 0.58 <.001
2 .38 fyuA 0.49 <.001
K1 0.24 <.001
3 .39 fyuA 0.40 <.001
K1 0.21 <.001
kpsM II 0.15 .02
Fecal (n = 116) No Forced NAf .46 K1 0.33 .002
fyuA 0.30 .01
malX 0.13 .20
papAH –0.11 .26
clbN 0.10 .36
iroN 0.06 .46
kpsM II 0.06 .61
Group B1 –0.02 .79
STc95 –0.01 .90
Stepwise 1 .39 fyuA 0.63 <.001
2 .46 fyuA 0.47 <.001
K1 0.32 <.001
Yes Forced NAf .48 K1 0.33 .003
UPECHM 0.28 .01
ExPECJJ 0.22 .08
papAH –0.16 .14
malX 0.10 .32
iroN 0.07 .42
vat 0.03 .81
Group B1 –0.006 .95
STc95 –0.002 .98
Stepwise 1 .39 UPECHM 0.63 <.001
2 .47 UPECHM 0.47 <.001
K1 0.34 <.001
3 .49 UPECHM 0.35 .001
K1 0.32 <.001
ExPECJJ 0.19 .05d
Clinical (n = 176) No or yes a Forced NAf .32 fyuA 0.29 .002
K1 0.17 .01
kpsM II 0.17 .06
papEF 0.13 .10
Group B2 0.01 .89
Step 1 .26 fyuA 0.51 <.001
2 .30 fyuA 0.35 <.001
kpsM II 0.26 .002
3 .31 fyuA 0.34 <.001
kpsM II 0.21 .01
K1 0.16 .02

Abbreviations: ExPECJJ, extraintestinal pathogenic E. coli, as defined using James Johnson’s molecular definition; NA, not applicable; UPECHM, uropathogenic E. coli, as defined using Harry Mobley’s molecular definition.

aThe analysis was done with and without considering UPECHM and ExPECJJ as candidate predictor variables.

bForced variable entry or conditional stepwise variable entry. Forward and backward stepwise entry gave identical final models; for brevity, only the stepwise forward entry models are shown.

cDefinitions are specified in Tables 2 and 3.

dValues <.05 are considered statistically significant. Bootstrapping findings supported all significant P values except that for ExPEC (with fecal isolates, UPECHM/ExPECJJ were considered in a stepwise model).

eResults were the same regardless of whether UPECHM and ExPECJJ were considered, since they did not qualify as predictor variables.

fFor forced entry, there was only 1 model per data set and variable list.