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. 2021 Mar 18;12:601752. doi: 10.3389/fendo.2021.601752

Table 2.

The ROC curve analysis for pre-POI prediction.

Variable AUC 95% CIb cutoff Sensitivity Specificity P value
AMH 0.932 0.918-0.945 1.211 (ng/mL) 79.74% 99.80% <0.001
AFC 0.868 0.848-0.885 5 69.53% 85.91% <0.001
FSH/LH ratio 0.749 0.726-0.772 2.11 62.44% 81.05% <0.001
Inhibin B 0.704 0.679-0.727 31.74 (pg/mL) 46.59% 89.06% <0.001
AMH+AFC 0.948 0.935-0.959 84.08% 95.68% <0.001
AMH + FSH/LH ratio 0.932 0.918-0.945 79.95% 99.90% <0.001
AMH + Inhibin B 0.932 0.917-0.945 81.58% 97.67% <0.001
AFC + FSH/LH ratio 0.884 0.866-0.900 77.83% 83.85% <0.001
AFC + Inhibin B 0.880 0.862-0.897 77.40% 82.41% <0.001
FSH/LH + Inhibin B 0.715 0.691-0.739 49.88% 86.83% <0.001
AMH + AFC + FSH/LH ratio 0.948 0.935-0.959 84.04% 95.58% <0.001
AMH + AFC + Inhibin B 0.948 0.935-0.959 84.88% 95.16% <0.001

AMH, anti-müllerian hormone; AFC, antral follicle count; ROC, receiver-operator characteristic curve; AUC, the area under the curve.

bBinomial exact test.