Table 4.
Univariate Logistic Regression Results.
| Measurement | OR (95% CI) | p-value | FDR-adjusted p-value |
|---|---|---|---|
| IgG1 CSP (MFI) | 1.94 (1.16, 3.51) | 0.017 | 0.091 |
| IgG2 CSP (MFI) | 1.23 (0.79, 2.03) | 0.369 | 0.625 |
| IgG3 CSP (MFI) | 1.19 (0.73, 1.97) | 0.495 | 0.769 |
| IgG4 CSP (MFI) | 1.37 (0.76, 2.62) | 0.313 | 0.573 |
| IgG1 NANP6 (MFI) | 2.69 (1.56, 5.13) | 0.001 | 0.021 |
| IgG2 NANP6 (MFI) | 1.16 (0.70, 1.93) | 0.554 | 0.769 |
| IgG3 NANP6 (MFI) | 1.73 (1.06, 3.01) | 0.037 | 0.117 |
| IgG4 NANP6 (MFI) | 1.16 (0.71, 1.93) | 0.559 | 0.769 |
| IgG3 PF16 (MFI) | 1.11 (0.70, 1.77) | 0.646 | 0.836 |
| IgG3 HepB (MFI) | 0.91 (0.57, 1.45) | 0.697 | 0.852 |
| IgG1 CSP AI | 1.71 (0.96, 3.64) | 0.110 | 0.303 |
| IgG2 CSP AI | 0.97 (0.58, 1.62) | 0.896 | 0.940 |
| IgG3 CSP AI | 1.01 (0.61, 1.63) | 0.968 | 0.968 |
| IgG4 CSP AI | 0.73 (0.42, 1.20) | 0.234 | 0.467 |
| IgG1 NANP6 AI | 0.60 (0.26, 1.09) | 0.145 | 0.319 |
| IgG2 NANP6 AI | 1.65 (0.87, 3.33) | 0.129 | 0.315 |
| IgG3 NANP6 AI | 0.97 (0.54, 1.60) | 0.898 | 0.940 |
| CSP AUCdiss (nm × s) | 2.49 (1.42, 4.83) | 0.003 | 0.034 |
| NANP6 AUCdiss (nm × s) | 2.50 (1.28, 6.01) | 0.021 | 0.091 |
| NPNA3 AUCdiss (nm × s) | 2.00 (1.18, 4.03) | 0.025 | 0.091 |
| N-interface AUCdiss (nm × s) | 1.83 (1.14, 3.07) | 0.016 | 0.091 |
| PF16 AUCdiss (nm × s) | 1.05 (0.65, 1.67) | 0.838 | 0.940 |
For each univariate logistic regression model, the odds ratio (OR) with 95% confidence interval (CI) indicated in parentheses, p-value, and FDR-adjusted p-value are shown.