Table 5.
ROC curve analysis for the best predictors of vitamin D deficiency
| Entire cohort (n 500) | Females (n 250) | Males (n 250) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Test result variable | AUC | 95 % CI | P | AUC | 95 % CI | P | AUC | 95 % CI | P |
| Plasma PTH | 0·651 | 0·478, 0·708 | 0·03 | 0·592 | 0·430, 0·614 | 0·04 | 0·450 | 0·346, 0·553 | 0·333 |
| Serum Ca | 0·569 | 0·503, 0·636 | 0·04 | 0·573 | 0·492, 0·692 | 0·04 | 0·510 | 0·409, 0·612 | 0·843 |
| Serum P | 0·450 | 0·393, 0·517 | 0·145 | 0·542 | 0·441, 0·643 | 0·542 | 0·497 | 0·395, 0·600 | 0·959 |
ROC, receiver operating characteristic; AUC, area under the curve; PTH, parathyroid hormone.