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. 2022 Feb 24;58(6):1069–1078. doi: 10.1111/jpc.15913

Table 4.

The optimal cut‐off values, sensitivities, specificities, positive predictive value, and negative predictive value of laboratory findings were presented as indices predictive of the need for intensive care unit admission of patients with multisystem inflammatory syndrome in children (MIS‐C)

n AUC P Cut‐Off Sensitivity Specificity PPV NPV
Procalcitonin levels, μg/L 89 0.686 0.001 >6 67.65 69.09 57.5 77.6
INR 99 0.681 0.003 >1.25 55.26 85.25 70.0 75.4
CRP, mg/L 101 0.670 0.002 >177 63.16 68.25 54.5 75.4
Total protein, mg/dL 82 0.659 0.009 ≤5.9 77.78 54.35 57.1 75.8
Creatinine levels, mg/dL 96 0.654 0.011 >0.5 65.79 72.41 61.0 76.4
D‐dimer, μg/L 99 0.651 0.007 >2787 65.79 60.66 51.0 74.0
Prothrombin time, s 85 0.637 0.035 >15.1 48.65 83.33 69.2 67.8
Indirect bilirubin, mg/dL 92 0.635 0.023 >0.23 63.89 69.64 57.5 75.0
Lymphocyte cells/μL 101 0.633 0.021 ≤930 63.16 66.67 53.3 75.0
Platelet counts cells/μL 101 0.628 0.026 ≤173 000 78.95 49.21 48.4 79.5

Receiver operating characteristic analysis was used to determine the optimal cut‐off values of laboratory findings to predict the need for an intensive care unit.

AUC, area under an ROC curve; CRP, C‐reactive protein; INR,international normalized ratio; NPV, negative predictive value; PPV, positive predictive value.