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. 2021 Apr 1;66:103308. doi: 10.1016/j.ebiom.2021.103308

Table 2.

Liu analysis ELISA titer cut-points across different LPS-specific immune parameters Differentiating vaccinated subjects with consensus shigellosis from vaccinated subjects without consensus shigellosis post-challenge.

Immune Parameterxav ROC AUCa Optimal Cut-Pointb Shigellosis Outcome (n) Relative Riskc (P-Value)d % Efficacye (P-Value)f SENSg SPECh PPVi NPVj
With Without Total
Serum IgG
Day 28 Titer 0.805 ≥12,800 5 16 21 0.357 59.4% 84.2% 54.5% 76.2% 66.7%
<12,800 6 3 9 (0.042) (0.021)
Day 56 Titer 0.792 ≥25,600 3 12 15 0.375 65.9% 63.2% 72.7% 80.0% 53.3%
<25,600 8 7 15 (0.128) (0.025)
Max Titer 0.755 ≥12,800 7 17 24 0.438 50.2% 89.5% 36.4% 70.8% 66.7%
<12,800 4 2 6 (0.156) (0.052)
Peak Fold Rise 0.842 ≥8 4 16 20 0.286 65.9% 84.2% 63.6% 80.0% 70.0%
<8 7 3 10 (0.015) (0.009)
Serum IgA
Day 28 Titer 0.718 ≥800 5 16 21 0.357 59.4% 84.2% 54.5% 76.2% 66.7%
<800 6 3 9 (0.042) (0.021)
Day 56 Titer 0.726 ≥800 6 16 22 0.436 53.5% 84.2% 45.5% 72.7% 62.5%
<800 5 3 8 (0.104) (0.046)
Max Titer 0.752 ≥1600 4 15 19 0.331 64.1% 78.9% 63.6% 78.9% 63.6%
<1600 7 4 11 (0.047) (0.017)
Peak Fold Rise 0.674 ≥8 6 17 23 0.365 55.5% 89.5% 45.5% 73.9% 71.4%
<8 5 2 7 (0.068) (0.026)
Serum IgG1
Day 28 Titer 0.742 ≥100 1 11 12 0.150 85.8% 57.9% 90.9% 91.7% 55.6%
<100 10 8 18 (0.018) (0.005)
Day 56 Titer 0.761 ≥100 3 14 17 0.287 69.9% 73.7% 72.7% 82.4% 61.5%
<100 8 5 13 (0.023) (0.013)
Max Titer 0.804 ≥100 3 15 18 0.250 71.6% 78.9% 72.7% 83.3% 66.7%
<100 8 4 12 (0.009) (0.006)
Peak Fold Rise 0.796 ≥2 3 15 18 0.250 71.6% 78.9% 72.7% 83.3% 66.7%
<2 8 4 12 (0.009) (0.006)
Serum IgG2
Day 28 Titer 0.691 ≥400 8 17 25 0.533 45.4% 89.5% 27.3% 68.0% 60.0%
<400 3 2 5 (0.327) 0.061
Day 56 Titer 0.699 ≥800 6 17 23 0.365 55.5% 89.5% 45.5% 73.9% 71.4%
<800 5 2 7 (0.068) (0.026)
Max Titer 0.711 ≥800 6 17 23 0.365 55.5% 89.5% 45.5% 73.9% 71.4%
<800 5 2 7 (0.068) (0.026)
Peak Fold Rise 0.803 ≥4 5 16 21 0.357 59.4% 84.2% 54.5% 76.2% 66.7%
<4 6 3 9 (0.042) (0.021)
Day 28 Titer 0.641 ≥3162 5 13 18 0.556 52.6% 68.4% 54.5% 72.2% 50.0%
<3162 6 6 12 (0.266) (0.070)
Day 56 Titer 0.780 ≥3415 4 15 19 0.331 64.1% 78.9% 63.6% 78.9% 63.6%
<3415 7 4 11 (0.047) (0.017)
Max Titer 0.708 ≥2561 6 17 23 0.365 55.5% 89.5% 45.5% 73.9% 71.4%
<2561 5 2 7 (0.068) (0.023)
Peak Fold Rise 0.763 ≥6 5 15 20 0.417 57.4% 78.9% 54.5% 75.0% 60.0%
<6 6 4 10 (0.108) (0.040)
α4β7+ IgG 0.882 ≥2 3 17 20 0.150 74.4% 100.0% 66.7% 85.0% 100.0%
<2 6 0 6 (0.0004) (0.003)
α4β7- IgG 0.797 ≥2 3 15 18 0.222 71.6% 88.2% 66.7% 83.3% 75.0%
<2 6 2 8 (0.008) (0.006)
α4β7+ IgA 0.696 ≥2 3 12 15 0.367 65.9% 70.6% 66.7% 80.0% 54.5%
<2 6 5 11 (0.103) (0.025)
α4β7- IgA 0.647 ≥2 2 8 10 0.457 65.9% 47.1% 77.8% 80.0% 43.8%
<2 7 9 16 (0.399) (0.065)
IgG 0.729 ≥32 4 10 14 0.653 51.3% 52.6% 63.6% 71.4% 43.8%
<32 7 9 16 (0.466) (0.104)
IgA 0.590 ≥64 7 15 22 0.636 45.7% 78.9% 36.4% 68.2% 50.0%
<64 4 4 8 (0.417) (0.089)
a

Area under the curve (AUC) of a receiver operator characteristic (ROC) graph.

b

Liu cut-point analysis used to determine the optimal point in the AUC which maximizes the product of sensitivity and specificity of the ROC.

c

Calculated as: (shigellosis rate among vaccinees at or above the optimal cut-point / shigellosis rate among vaccinees below the optimal cut-point).

d

P-value determined by Fisher's Exact Test comparing shigellosis rate among vaccinees at or above the optimal cut-point versus shigellosis rate among vaccinees below the optimal cut-point.

e

Calculated as: [1 – (shigellosis rate among vaccinees at or above the optimal cut-point / shigellosis rate among placebo recipients)] x 100.

f

P-value determined by Fisher's Exact Test comparing shigellosis rate among vaccinees at or above the optimal cut-point versus shigellosis rate among placebo recipients.

g

Sensitivity = (number of subjects without shigellosis at or above the optimal cut-point / total number of subjects without shigellosis).

h

Specificity = (number of subjects with shigellosis at or above the optimal cut-point / total number of subjects with shigellosis).

i

Positive Predictive Value = (number of subjects without shigellosis at or above the optimal cut-point / total number of subjects at or above the optimal cut-point).

j

Negative Predictive Value = (number of subjects with shigellosis below the optimal cut-point / total number of subjects below the optimal cut-point).