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. 2024 Aug 14;12(8):916. doi: 10.3390/vaccines12080916

Table 2.

Univariate and multivariable logistic regression analysis for identifying factors associated with high immune response.

Univariate Analysis Multivariable Analysis
OR 95% CI p Value aOR 95% CI p Value
Age ≥ 65 years 1.15 0.18–22.4 0.899 3.43 0.31–107 0.376
Male sex 0.36 0.13–0.95 0.039 0.25 0.06–0.90 0.037
DM or pre-DM 0.62 0.23–1.62 0.322 0.77 0.20–2.90 0.691
PPI use * 1.62 0.41–10.8 0.544 5.08 0.75–64.3 0.142
Smoking history 1.05 0.25–7.18 0.949 4.69 0.67–57.9 0.160
Alcohol history 0.64 0.14–4.55 0.600 0.43 0.05–4.78 0.458
Bifidobacterium pseudocatenulatum # 0.53 0.18–1.43 0.226 0.81 0.20–3.17 0.758
Streptococcus parasanguinis # 0.35 0.13–0.92 0.035 0.14 0.03–0.60 0.012
Bacteroides stercoris # 0.45 0.15–1.22 0.133 0.44 0.11–1.53 0.206
Clostridium leptum # 6.91 1.33–127 0.066 12.2 1.73–273 0.036
Haemophilus parainfluenzae # 0.38 0.14–1.02 0.053 1.28 0.30–6.39 0.751

* Usage of ≥14 days within 12 months before first vaccination. Unable to generate coefficient and 95% CI for “antibiotic use” due to small number of antibiotic users (n = 5). # High abundance was defined as the top 50% (i.e., above the median). Abbreviations: OR, odds ratio; aOR, adjusted odds ratio; 95% CI, 95% confidence interval; DM or pre-DM, diabetes mellitus or pre-diabetes mellitus; PPI, proton pump inhibitors.