Table 4.
Predictor | D | P Value | Odds Ratio | 95% CI |
---|---|---|---|---|
Sex | 2.54 | .11 | 2.65 | .77–9.10 |
Age in years | 0.06 | .81 | 0.97 | .76–1.24 |
Pretreatment infection intensity | 0.31 | .58 | 1.00 | 1.00–1.01 |
Th2 (PC1) | 2.36 | .63 | 1.56 | .88–2.77 |
SEA proinflammatory/WWH Th2 (PC2) | 5.67 | .02 | 0.48 | .25–.93 |
WWH proinflammatory (PC3) | 0.62 | .43 | 0.75 | .35–1.60 |
SEA proinflammatory/Th2 (PC4) | 0.35 | .56 | 0.81 | .41–1.61 |
Results of adjusted binary logistic regression analysis (n = 72) with reinfection status (uninfected or reinfected) as the dependent variable and sex, age, pretreatment infection intensity (mean egg count/10 mL urine), and factor scores for whole blood cytokine profiles 6 weeks after treatment identified via factor analysis (Table 2) included as linear predictors. Analysis of each predictor was conducted adjusting for all other predictors. Significant predictors (P < .05) of reinfection status are highlighted in bold. Hosmer–Lemeshow statistic (full model): 7.794; P = .45.
Abbreviations: CI, confidence interval; D, Log likelihood ratio statistic (difference between model excluding the predictor and the full model); PC, principle component.