Integration of sera metabolites and coagulation indicators yielded higher predictive performance
To assess the potential of metabolites and coagulation indicators as biomarkers for risk stratification of AMN-SARS-CoV-2, logistic regression was employed. AUC values of 0.8393, 0.7029, and 0.7653 were obtained for PCT, Fbg, and FDP, respectively (Figure 5A). Upon inclusion of the three coagulation indicators in the logistic regression model, an improved AUC value of 0.8878 was observed. The incorporation of ornithine, citrulline, L-proline, and ADMA further enhanced the AUC to 0.9082 (Figure 5B). Finally, when both the coagulation indicators and metabolites were integrated into the logistic regression model, the highest AUC (0.964) was obtained, indicating better accuracy in discriminating between AMN-SARS-CoV-2 and SARS-CoV-2-no AMN cases (Figure 5C).