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. 2023 Oct 24;23:305. doi: 10.1186/s12866-023-03057-8

Table 4.

Logistic regression analysis of risk factors associated with poor 30-day outcomes in SAP patients

Risk factor Univariate analysis Multivariate analysis* Multivariate analysis#
OR(95% CI) P value Model 1 OR(95% CI) P value Model 2 OR(95% CI) P value
P1
p__Actinobacteriota 25.837(1.367-488.456) 0.030 22.954(1.376-383.026) 0.029 24.270(1.338-440.331) 0.031
c__Actinobacteria 11.632(1.163-116.352) 0.037 12.932(1.316-127.104) 0.028 13.061(1.178-144.754) 0.036
o__Actinomycetales 50.309(1.881-1345.855) 0.019 22.372(1.075-465.609) 0.045 63.506(1.643-2454.396) 0.026
f__Actinomycetaceae 51.187(2.054-1275.877) 0.016 23.662(1.190-470.657) 0.038 62.317(1.721-2256.818) 0.024
g__Actinomyces 5.162(1.049–25.411) 0.044 NA NA NA NA
P2
p__Actinobacteriota 9.773(1.230-77.633) 0.031 NA NA 119.502(1.283-11133.762) 0.039
c__Actinobacteria 5.845(1.013–33.727) 0.048 NA NA NA NA
Δ
f__Actinomycetaceae 0.148(0.023–0.967) 0.046 NA NA 0.043(0.002–0.865) 0.040
g__Actinomyces 0.143(0.021–0.987) 0.048 NA NA 0.055(0.003–0.974) 0.048

* Model 1 adjusted by SOFA, APACHE II, initial GCS score and length of ICU stay

# Model 2 adjusted by age, initial NIHSS score, enteral nutrition, atrial fibrillation, dysphagia, and NLR (neutrophil to lymphocyte ratio)

P1 = log-transformed average (before diagnosis of SAP samples); P2 = log-transformed average (after diagnosis of SAP samples); Δ = P2-P1.