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. 2023 Apr 13;24(8):7177. doi: 10.3390/ijms24087177

Table 3.

Binary logistic regression analysis for acute kidney injury (AKI) (dependent variable) and different laboratory markers (explanatory variables).

Model Variable B S.E. Wald df Sig. Exp(B) 95% C.I. for EXP(B)
#1 suPAR 0.004 0.002 5.944 1.000 0.015 1.004 1.001–1.007
#2 suPAR 0.004 0.002 6.717 1.000 0.010 1.004 1.001–1.008
CRP 0.009 0.004 3.942 1.000 0.047 0.991 0.983–1.000
#3 suPAR 0.004 0.002 6.613 1.000 0.010 1.004 1.001–1.008
CRP 0.012 0.005 6.123 1.000 0.013 0.988 0.979–0.998
LDH 0.004 0.002 4.875 1.000 0.027 1.004 1.000–1.007
#4 suPAR 0.005 0.002 7.512 1.000 0.006 1.005 1.001–1.008
PLT 0.005 0.002 4.406 1.000 0.036 0.995 0.991–1.000
CRP 0.015 0.005 8.239 1.000 0.004 0.985 0.975–0.995
LDH 0.005 0.002 6.040 1.000 0.014 1.005 1.001–1.008
#5 suPAR 0.005 0.002 6.655 1.000 0.010 1.005 1.001–1.008
PLT 0.006 0.002 6.315 1.000 0.012 0.994 0.989–0.999
CRP 0.015 0.005 7.489 1.000 0.006 0.985 0.975–0.996
LDH 0.005 0.002 6.469 1.000 0.011 1.005 1.001–1.008
eGFR 0.027 0.014 3.558 1.000 0.059 0.974 0.947–1.001