Table 6 ROC curve analysis of novel anthropometric indicators on hyperuricemia for prediction of hyperuricemia.
Sex | Variables | AUC (95%CI) | Cut-off | Sensitivity | Specificity | P |
|---|---|---|---|---|---|---|
Female | LAP | 0.767 (0.755–0.779) | 27.385 | 0.725 | 0.687 | < 0.001 |
TyG | 0.746 (0.734–0.75) | 8.641 | 0.666 | 0.720 | < 0.001 | |
BRI | 0.716 (0.704–0.729) | 4.531 | 0.699 | 0.627 | < 0.001 | |
BMI | 0.720 (0.697–0.744) | 23.235 | 0.758 | 0.585 | < 0.001 | |
WC | 0.721 (0.697–0.745) | 79.25 | 0.723 | 0.600 | < 0.001 | |
WHtR | 0.728 (0.704–0.751) | 0.491 | 0.760 | 0.577 | < 0.001 | |
Male | LAP | 0.694 (0.682–0.705) | 41.755 | 0.629 | 0.659 | < 0.001 |
TyG | 0.661 (0.649–0.673) | 8.793 | 0.689 | 0.560 | < 0.001 | |
BRI | 0.599 (0.587–0.612) | 4.060 | 0.742 | 0.406 | < 0.001 | |
BMI | 0.642 (0.630–0.654) | 24.810 | 0.693 | 0.516 | < 0.001 | |
WC | 0.638 (0.626–0.651) | 90.150 | 0.536 | 0.666 | < 0.001 | |
WHtR | 0.626 (0.614–0.638) | 0.514 | 0.650 | 0.537 | < 0.001 |