Skip to main content
. 2022 Feb 10;64(3):188–195. doi: 10.11622/smedj.2022019

Table 4.

Accuracy of each parameter in correctly classifying patients into WD and non-WD.

Parameter No. of patients n (%)
Accuracy (TP + TN)
P*

Correct classification Wrong classification


WD (TP) Non-WD (TN) WD (FP) Non-WD (FN)
Discriminant function (<−0.95) 54 157 1 1 99.1 <0.001

Caeruloplasmin (<0.14 g/L) 54 154 4 1 97.7 <0.001

Caeruloplasmin (<0.20 g/L) 54 133 25 1 87.8 <0.001

Total copper (<11 µmol/L) 53 137 21 2 89.2 <0.001

NCC1 (<1.6 µmol/L) 38 133 25 17 80.3 <0.001

NCC1 (<3.9 µmol/L) 47 80 78 8 59.6 <0.001

NCC% (<10%) 26 134 24 29 75.1 <0.001

NCC2 (<200 mcg/L) 47 83 75 8 61.0 <0.001

CCR (<8 µmol/g) 31 96 62 24 59.6 0.027

*Based on Pearson’s chi-square test. Value is significant at 0.05. CCR: copper-caeruloplasmin ratio, FN: false negative, FP: false positive, NCC%: non-caeruloplasmin copper percentage, NCC1: non-caeruloplasmin copper in molar unit, NCC2: non-caeruloplasmin copper in mass unit, TN: true negative, TP: true positive, WD: Wilson disease