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. 2014 Dec 9;2014:195407. doi: 10.1155/2014/195407

Table 5.

Area under the ROC curves and 95% confidence intervals for WHtR, with cut-offs for the sensitivity, specificity, balanced accuracy, PPV, and PNV of individual MS components, hyperinsulinism, and HOMA-IR diagnosis.

Variable Area under the ROC curve (95% C.I.) Significancea Optimal cut-off pointb Sensitivity Specificity Balanced accuracy PPVc PNVd
WHtR
 High TG overall 0.600 (0.441–0.760) P = 0.200 0.60 62.8% 62.5% 62.7% 90.8% 22.2%
 High TG female 0.581 (0.251–0.912) P = 0.555 0.58 76.7% 60.0% 68.4% 94.3% 23.1%
 High TG male 0.622 (0.441–0.803) P = 0.207 0.60 66.7% 63.6% 65.2% 89.5% 29.2%
 Low HDL-C overall 0.501 (0.389–0.613) P = 0.985 0.63 43.9% 63.6% 53.8% 64.4% 43.1%
 Low HDL-C female 0.613 (0.451–0.774) P = 0.188 0.60 64.3% 55.0% 59.7% 66.7% 52.4%
 Low HDL-C male 0.416 (0.269–0.562) P = 0.266 0.63 42.1% 54.2% 48.2% 59.3% 37.1%
 Hyperglycemia overall 0.606 (0.335–0.877) P = 0.426 0.65 60.0% 69.5% 64.8% 8.6% 97.3%
 Hyperglycemia female 0.689 (0.388–0.990) P = 0.277 0.65 66.7% 82.2% 74.5% 20.0% 97.4%
 Hyperglycemia male 0.567 (0.009–1.000) P = 0.750 0.76 50.0% 93.3% 71.7% 20.0% 98.3%
 Hypertension overall 0.601 (0.491–0.711) P = 0.081 0.63 51.3% 64.8% 58.1% 44.4% 70.8%
 Hypertension female 0.737 (0.584–0.891) P = 0.006e 0.62 66.7% 73.3% 70.0% 60.0% 78.6%
 Hypertension male 0.512 (0.359–0.665) P = 0.876 0.66 38.1% 68.3% 53.2% 38.1% 68.3%
 Hyperinsulinism overall 0.599 (0.490–0.780) P = 0.093 0.61 69.4% 52.7% 61.1% 41.7% 78.0%
 Hyperinsulinism female 0.717 (0.569–0.865) P = 0.014e 0.61 70.6% 64.5% 67.6% 52.2% 80.0%
 Hyperinsulinism male 0.509 (0.358–0.660) P = 0.909 0.61 68.4% 44.2% 56.3% 35.1% 76.0%
 Insulin resistance (HOMA) overall 0.566 (0.459–0.673) P = 0.245 0.61 64.3% 51.5% 57.9% 45.0% 70.0%
 Insulin resistance (HOMA) female 0.713 (0.567–0.859) P = 0.013e 0.61 68.4% 65.5% 67.0% 56.5% 76.0%
 Insulin resistance (HOMA) male 0.457 (0.312–0.602) P = 0.575 0.59 73.9% 28.2% 51.1% 37.8% 64.7%

In all cases, 110 subjects (48 females and 62 males) were considered.

aNull hypothesis: area = 0.5.

bPositive if assessment is more than or equal to the optimal cut-off point; it was calculated as the minimum value of the square root of [(1 − sensitivity)2 + (1 − specificity)2], and greater accuracy is reflected by a smaller distance to point (0, 1) in the ROC curve.

cPPV: predictive positive value.

dPNV: predictive negative value.

eSignificant P values.