Usefulness of Noninvasive Predictors of Oesophageal Varices in Black African Cirrhotic Patients in Côte d'Ivoire (West Africa)
Table 3
Diagnostic performances of non invasive means for the prediction oesophageal varices and large oesophageal varices in the training sample.
AUROC SE
Cut-off
TP (n)
TN (n)
SS (%)
SP (%)
PPV (%)
NVP (%)
DA (%)
LR+
Oesophageal varices
Platelet count
<110500
68
18
80
69
89.5
51
77.5
2.6
Spleen diameter
>140
44
18
51.8
72
86.3
30.5
55.9
1.9
PC/SD ratio
≤868
70
20
82.4
76.9
92.1
57.1
81.1
3.6
Regression function
0.3
82
7
96.5
28
82
70
80.9
1.3
0.4
81
7
95.3
28
81.8
63.6
80
1.3
0.5
80
10
94.1
40
84.2
66.7
81.8
1.6
0.6
79
17
92.9
68
90.8
73.9
87.3
2.9
0.7
69
18
81.2
72
90.8
52.9
79.1
2.9
0.8
62
18
72.9
72
89.9
43.9
72.7
2.6
Large oesophageal varices
Platelet count
<106500
61
20
78.2
60.6
82.4
54.1
73
2
Spleen diameter
>137
49
25
62.8
46.3
86
46
66.7
1.2
PC/SD ratio
≤897
66
21
84.6
63.6
84.6
61.8
78.4
2.3
0.3
75
9
96.2
28.1
76.5
75
76.4
1.3
Regression function
0.4
73
11
93.6
34.4
77.7
68.8
76.4
1.4
0.5
68
15
87.2
46.9
80
60
75.5
1.6
0.6
64
20
82.1
62.5
84.2
58.8
76.4
2.2
0.7
59
25
75.6
78.1
89.4
56.8
76.4
3.5
0.8
51
27
65.4
84.4
91.1
50
71
4.2
AUROC: area under receiver operating characteristic curve, SE: standard error, PC/SD ratio: platelet count-spleen diameter ratio, TP: true positive TN: true negative SS: sensitivity SP: specificity PPV: positive predictive value NVP: negative predictive value DA: diagnostic accuracy, LR+: positive likelihood ratio, Prevalence of OV: 76.6%, logistic regression analysis was computed on 110 patients due to one missing value in those with no OV.
