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. 2021 Jul 9;24(8):102823. doi: 10.1016/j.isci.2021.102823

Figure 4.

Figure 4

Estimation of MX1 and WARS as candidate indicators for SARS-CoV-2 infection and outcome

(A) Quantitative assessment of MX1 and WARS in the respiratory specimen of 200 COVID-19 specimen show significant increase in MX1 and WARS levels in COVID-19 positive as compared to COVID-19 negative (FC > 2, p < 0.05)

.(B) Multivariate area under the receiver operating curve analysis show significant AUC of MX1 = 0.922 CI (0.863–0.957) and WARS = 0.867 CI (0.781–0.944).

(C) Prediction class probability for MX1 alone show clear segregation of COVID-19-positive from COVID-19-negative patients with a predictive accuracy of 84%.

(D) Area under the receiver operating curve analysis for MX1 and WARS together show AUC = 0.948 CI (0.911–0.977) p < 0.05.

(E) Prediction class probability for MX1 and WARS together show clear segregation of COVID-19-positive from COVID-19-negative patients with a predictive accuracy of 86%.

(F) Quantitative assessment of MX1 and WARS in the respiratory specimen show significant increase in MX1 and WARS levels in severe COVID-19 (n = 10) as compared to non-severe COVID-19 (n = 90, FC > 2, p < 0.05). The right panel show multivariate area under the receiver operating curve analysis of MX1 and WARS for the assessment of severity and symptomatic patients in COVID-19.