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. 2017 Dec 28;12(12):e0189999. doi: 10.1371/journal.pone.0189999

Table 2. Performance of Shannon entropy as a measure for identifying recent HIV-1 infections.

HIV-1 env segment Diversity measure Optimal Cut-off value HIV-1 Subtype AUC AUC (95% CI) TPR
(Sn)
TNR
(Sp)
N recent/chronic
GP120-C2_1 Shannon entropy 0.054 Multiple 0.806 [0.752–0.861] 82% 69% 134/115
GP120-C2_3 Shannon entropy 0.059 Multiple 0.805 [0.749–0.862] 90% 67% 134/115
GP120-V3 Shannon entropy 0.083 Multiple 0.812 [0.758–0.866] 87% 66% 134/115
GP120-C2_1 Shannon entropy 0.054 B 0.791 [0.726–0.856] 80% 69% 106/86
GP120-C2_3 Shannon entropy 0.06 B 0.810 [0.747–0.873] 91% 66% 106/86
GP120-V3 Shannon entropy 0.083 B 0.831 [0.773–0.889] 90% 66% 106/86
GP120-V3 Shannon entropy 0.083 Multiple:WB+/MAA+specimens as recent 0.801 [0.740–0.863] 89% 66% 80/115
GP120-V3 Shannon entropy 0.097 Multiple: p24+ specimens as recent 0.827 [0.763–0.891] 93% 60% 54/115
GP120-C2_1 Shannon entropy 0.06 Multiple: p24+ specimens as recent 0.850 [0.794–0.905] 93% 66% 54/115
GP12-C2_3 Shannon entropy 0.048 Multiple: p24+ specimens as recent 0.844 [0.786–0.902] 91% 71% 54/115

TPR (true positive rate) = sensitivity: recent HIV-1+ specimens correctly classified,

TNR (true negative rate) = specificity: chronic HIV-1+ specimens correctly classified. The optimal cutoff value indicates the proportion of patients correctly classified and represented the highest TPR (recency) + TNR (chronic) or (Sensitivity+ Specificity).