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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Brain Res. 2018 Aug 9;1698:161–169. doi: 10.1016/j.brainres.2018.08.012

Table 4:

ROC analysis of significant analytes

Biomarker Cut-off AUC (95% CI) Sensitivity Specificity Accuracy
Gp130/sIL-6Rb > 35095 .6651 (.5114-.8187) .4167 .9615 .7
IFN-β < 25.07 .6755 (.5259 - .825) .5 .8077 .66
IL-28A/IFN-λ2 < 15.13 .7244 (.5815 - .8672) .5833 .7692 .66
MMP-2 > 4169 .7636 (.6301 - .8972) .625 .8846 .76
Osteopontin (OPN) > 7599 .6907 (.5365 - .8449) .5 .9615 .74
sTNF-R1 > 1040 .6763 (.5227 - .8299) .5417 .8846 .72
STNF-R2 > 5335 .7516 (.6119 - .8913) .8333 .6538 .76
TSLP < 12.98 .8069 (.6743 - .9404) .6667 .9615 .82

Cut-off values (pg/mL), AUC (95% CI), sensitivity, specificity and accuracy of each analyte different between stroke and control patients. Cut-off values were chosen as the point of the curve with the highest sum of specificity and sensitivity.