Carbapenem-Resistant Klebsiella pneumoniae Infections among ICU Admission Patients in Central China: Prevalence and Prediction Model
Table 3
Performance of the models for predicting CRKP infection at different cutoff values.
No. of risk factors
TP
FP
TN
FN
Se (%)
Sp (%)
PPV (%)
NPV (%)
Acc (%)
Derivation cohort
⩾1
244
256
7
0
100
3
49
100
50
⩾2
244
235
28
0
100
11
51
100
54
⩾3
244
215
48
0
100
18
53
100
58
⩾4
233
183
80
11
96
30
56
88
62
⩾5
219
120
143
25
90
54
65
85
71
⩾6
200
68
195
44
82
74
75
82
78
⩾7
175
31
232
69
72
88
85
77
80
⩾8
147
18
245
97
60
93
89
72
77
⩾9
110
11
252
134
45
96
91
65
71
⩾10
56
5
258
188
23
98
92
58
62
⩾11
30
3
260
214
12
99
91
55
57
⩾12
15
0
263
229
6
100
100
53
55
⩾13
6
0
263
238
3
100
100
52
53
Validation cohort
⩾1
147
183
5
0
100
3
45
100
45
⩾2
147
176
12
0
100
6
46
100
47
⩾3
147
166
22
0
100
12
47
100
50
⩾4
143
141
47
4
97
25
50
92
57
⩾5
136
96
92
11
93
49
59
89
68
⩾6
126
57
131
21
86
70
69
86
77
⩾7
113
31
157
34
77
84
78
82
81
⩾8
94
20
168
53
64
89
82
76
78
⩾9
67
13
175
80
46
93
84
69
72
⩾10
27
7
181
120
18
96
79
60
62
⩾11
12
3
185
135
8
98
80
58
59
⩾12
6
0
188
141
4
100
100
57
58
⩾13
2
0
188
145
2
100
100
56
57
TP: number of true positives; FP: number of false positives; FN: number of false negatives; TN: number of true negatives; Se: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value; Acc: rate of accuracy of the risk score model.
