Skip to main content
. 2022 May 13;13:891456. doi: 10.3389/fimmu.2022.891456

Table 3A.

Univariate logistic regression analyses of IL-6 signalling biomarkers as predictors of COVID-19 mortality.

Variable Risk factor cut-off characterization  Cut-off univariate logistic
Cut-off Sensitivity % Specificity % PPV % NPV % O.R. 95% CI
IL-6 (pg/mL) ≥ 27.40 79.40 50.04 73.00 58.81 3.86 (1.64-9.06)*
sIL-6R (ng/mL) ≤ 34.49 54.44 79.49  82.27 50.04 4.63  (1.86-11.51)***
sgp130 (ng/mL) ≤ 367.51 30.96 92.30  87.56 43.46 5.36 (1.48-19.39)***
B/T ≤ 1.561  47.11 84.67  88.93 49.37  6.05 (2.11-17.33)**
FME ≥ 2.869 64.74 65.18 75.93 51.05 3.27 (1.44-7.45)**
Lymphocytes (x 10^3/µL) ≤ 0.565 39.39 90.00 62.26 5.96 (2.30-15.41)***
Creatinine (U/L) ≥ 1.15 57.35 81.58 84.78 51.67 5.85 (1.86-18.38)**
Troponine (ng/mL) ≥ 12.05 84.44 56.25 84.44 19.15 6,98 (1.95-24.98)**
Ferritine (ng/mL) ≥ 992.75 76.59 45.95 64.29 32.08 2.78 (1.09-7.09)**

NPV, Negative predictive value; PPV, Positive predictive value; B/T, Binary/ternary complex ratio; FME, Fold molar excess of sgp130 over sIL-6R; O.R., Odds ratio. *p < 0.05, **p < 0.01, ***p < 0.001.