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

Table 3.

ELISA titer cut-points across different lps-specific immune parameters associated with 70–80% protection from consensus shigellosis post-challenge.

Immune Parameter Titer Cut-Pointa Shigellosis Outcome (n)
Relative Riskb (P-Value)c % Efficacyd (P-Value)e ROC AUCf SENSg SPECh PPVi NPVj
With Without Total
Serum IgG
Day 28 Titer ≥25,600 2 12 14 0.254 75.6% 0.805 63.2% 81.8% 85.7% 56.3%
<25,600 9 7 16 (0.026) (0.009)
Day 56 Titer ≥25,600 3 12 15 0.375 65.9% 0.792 63.2% 72.7% 80.0% 53.3%
<25,600 8 7 15 (0.128) (0.025)
Max Titer ≥51,200 1 9 10 0.200 82.9% 0.755 47.4% 90.9% 90.0% 50.0%
<51,200 10 10 20 (0.049) (0.011)
Peak Fold Rise ≥16 3 14 17 0.287 69.9% 0.842 73.7% 72.7% 82.4% 61.5%
<16 8 5 13 (0.023) (0.013)
Serum IgA
Day 28 Titer ≥3200 3 13 16 0.328 68.0% 0.718 68.4% 72.7% 81.3% 57.1%
<3200 8 6 14 (0.057) (0.013)
Day 56 Titer ≥3200 2 10 12 0.333 71.6% 0.726 52.6% 81.8% 83.3% 50.0%
<3200 9 9 18 (0.121) (0.019)
Max Titer ≥3200 3 15 18 0.250 71.6% 0.752 78.9% 72.7% 83.3% 66.7%
<3200 8 4 12 (0.009) (0.006)
Peak Fold Rise ≥16 4 15 19 0.331 64.1% 0.674 78.9% 63.6% 78.9% 63.6%
<16 7 4 11 (0.047) (0.017)
Serum IgG1
Day 28 Titer ≥100 1 11 12 0.150 85.8% 0.742 57.9% 90.9% 91.7% 55.6%
<100 10 8 18 (0.018) (0.005)
Day 56 Titer ≥200 1 10 11 0.173 84.5% 0.761 52.6% 90.9% 90.9% 52.6%
<200 10 9 19 (0.023) (0.011)
Max Titer ≥200 1 12 13 0.131 86.9% 0.804 63.2% 90.9% 92.3% 58.8%
<200 10 7 17 (0.007) (0.002)
Peak Fold Rise ≥4 1 11 12 0.150 85.8% 0.796 57.9% 90.9% 91.7% 55.6%
<4 10 8 18 (0.018) (0.005)
Serum IgG2
Day 28 Titer ≥1600 3 9 12 0.563 57.4% 0.691 47.4% 72.7% 75.0% 44.4%
<1600 8 10 18 (0.442) (0.085)
Day 56 Titer ≥3200 1 6 7 0.329 75.6% 0.699 31.6% 90.9% 85.7% 43.5%
<3200 10 13 23 (0.215) (0.088)
Max Titer ≥3200 1 6 7 0.329 75.6% 0.711 31.6% 90.9% 85.7% 43.5%
<3200 10 13 23 (0.215) (0.088)
Peak Fold Rise ≥8 2 14 16 0.194 78.7% 0.803 73.7% 81.8% 87.5% 64.3%
<8 9 5 14 (0.007) (0.004)
Day 28 Titer ≥13,806 4 11 15 0.571 54.5% 0.641 57.9% 63.6% 73.3% 46.7%
<13,806 7 8 15 (0.450) (0.060)
Day 56 Titer ≥13,933 1 7 8 0.275 78.7% 0.780 36.8% 90.9% 87.5% 45.5%
<13,933 10 12 22 (0.199) (0.042)
Max Titer ≥15,814 1 7 8 0.275 78.7% 0.708 36.8% 90.9% 87.5% 45.5%
<15,814 10 12 22 (0.199) (0.021)
Peak Fold Rise ≥15 2 9 11 0.384 69.0% 0.763 47.4% 81.8% 81.8% 47.4%
<15 9 10 19 (0.140) (0.034)
α4β7+ IgG ≥4 1 11 12 0.146 85.8% 0.882 64.7% 88.9% 91.7% 57.1%
<4 8 6 14 (0.014) (0.005)
α4β7- IgG ≥2 3 15 18 0.222 71.6% 0.797 88.2% 66.7% 83.3% 75.0%
<2 6 2 8 (0.008) (0.006)
α4β7+ IgA ≥8 1 7 8 0.281 78.7% 0.696 41.2% 88.9% 87.5% 44.4%
<8 8 10 18 (0.190) (0.042)
α4β7- IgA ≥4 1 6 7 0.339 75.6% 0.647 35.3% 88.9% 85.7% 42.1%
<4 8 11 19 (0.357) (0.088)
IgG ≥64 1 8 9 0.233 81.0% 0.729 42.1% 90.9% 88.9% 47.6%
<64 10 11 21 (0.100) (0.021)
IgA ≥64 7 15 22 0.636 45.7% 0.590 78.9% 36.4% 68.2% 50.0%
<64 4 4 8 (0.417) (0.089)
a

ELISA titer cut-point chosen based on the titer that provided as close to or between 70 and 80% efficacy.

b

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

c

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

d

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

e

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

f

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

g

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

h

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

i

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

j

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