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. 2021 Jun 7;9:675606. doi: 10.3389/fped.2021.675606

Table 4.

Logistic regression analysis results in regard to different levels of effect.

Effect Level of effect Column Estimate SE Wald statistics Lower CL 95.0% Upper CL 95.0% p OR 95% CI 95% CI
Intercept 1 2.846 1.334 4.553 0.232 5.460 0.033 17.215 1.261 235.019
bLf usage 1 2 −0.992 0.550 3.253 −2.069 0.086 0.071 0.371 0.126 1.090
Male gender 1 3 0.079 0.521 0.023 −0.942 1.099 0.880 1.082 0.390 3.002
Antibiotic code 1 4 0.080 1.223 0.004 −2.318 2.477 0.948 1.083 0.098 11.910
Antibiotic code 2 5 −1.500 1.150 1.703 −3.754 0.753 0.192 0.223 0.023 2.124
Antibiotic code 3 6 −2.050 1.145 3.202 −4.295 0.195 0.074 0.129 0.014 1.216
Antibiotic code 5 7 −1.190 1.389 0.733 −3.913 1.534 0.392 0.304 0.020 4.635
Mode of antibiotic delivery: 1 = p.o. 1 8 −0.715 0.648 1.217 −1.984 0.555 0.270 0.489 0.137 1.742
Age 9 0.311 0.124 6.262 0.067 0.555 0.012 1.365 1.070 1.742
Scale 1.000 0.000 1.000 1.000

Levels of antibiotics are referred to the clarithromycin (level 4).

OR, odds ratio; bLf, bovine lactoferrin; CL, confidence level; p.o., per os.

Antibiotic codes for levels of effect: 1—amoxycillin, 2—amoxicillin and clavulanic acid, 3—cephalosporins, 4—clarithromycin, and 5—penicillin.