Miura K, Maeda H, Morimoto N, Watanabe S, Tsukui M, Takaoka Y, Nomoto H, Goka R, Kotani K, Yamamoto H. Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities. World J Gastrointest Pathophysiol 2022; 13(3): 96-106 [PMID: 35720167 DOI: 10.4291/wjgp.v13.i3.96]
Corresponding Author of This Article
Kouichi Miura, Doctor, Associate Professor, Department of Medicine, Division of Gastroenterology, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Tochigi, Japan. miura385@jichi.ac.jp
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Pathophysiol. May 22, 2022; 13(3): 96-106 Published online May 22, 2022. doi: 10.4291/wjgp.v13.i3.96
Table 1 Characteristics of patients with nonalcoholic fatty liver disease
Patients (n)
191
Age (years old)
62 (20-90)
Men (%)
81 (42.4)
diabetes (%)
75 (39.3)
HCC
17
EGV
16
Both HCC and EGV
9
AST (U/L)
36 (13-208)
ALT (U/L)
40 (10-214)
Platelet count (×109/L)
207 (45-445)
Table 2 Sensitivity, specificity, positive predictive value, and negative predictive value of each score and marker (L vs I-H)
FIB-4
FAST
Agile 3+
Agile 4
LSM
M2BPGi
Risk
L
I-H
L
I-H
L
I-H
L
I-H
L
I-H
L
I-H
n
71
120
87
104
96
95
131
60
73
118
102
89
HCC
0
26
10
16
0
26
7
19
4
22
5
21
P value
< 0.01
0.44
< 0.01
< 0.01
< 0.01
< 0.01
Sensitivity
1
0.62
1
0.73
0.85
0.81
Specificity
0.43
0.53
0.58
0.79
0.44
0.62
PPV
0.22
0.17
0.27
0.36
0.19
0.25
NPV
1
0.90
1
0.95
0.95
0.95
EGV
0
25
6
19
0
25
1
24
0
25
1
24
P value
< 0.01
0.02
< 0.01
< 0.01
< 0.01
< 0.01
Sensitivity
1
0.76
1
0.96
1
0.96
Specificity
0.43
0.52
0.58
0.79
0.44
0.61
PPV
0.21
0.19
0.26
0.41
0.21
0.27
NPV
1
0.94
1
0.99
1
0.99
Table 3 Sensitivity, specificity, positive predictive value, and negative predictive value of each score and marker (L-I vs H)
FIB-4
FAST
Agile 3+
Agile 4
LSM
M2BPGi
Risk
L-I
H
L-I
H
L-I
H
L-I
H
L-I
H
L-I
H
n
122
69
146
45
111
80
148
43
136
55
148
43
HCC
3
23
18
8
0
26
12
14
10
16
11
15
P value
< 0.01
0.35
< 0.01
< 0.01
< 0.01
< 0.01
Sensitivity
0.89
0.31
1
0.54
0.62
0.58
Specificity
0.74
0.89
0.67
0.90
0.82
0.90
PPV
0.35
0.30
0.33
0.45
0.36
0.47
NPV
0.98
0.89
1
0.93
0.93
0.93
EGV
2
23
14
11
0
25
2
23
3
22
4
21
P value
< 0.01
0.01
< 0.01
< 0.01
< 0.01
< 0.01
Sensitivity
0.92
0.44
1
0.92
0.88
0.84
Specificity
0.74
0.88
0.67
0.89
0.82
0.89
PPV
0.34
0.36
0.31
0.56
0.42
0.54
NPV
0.98
0.91
1
0.99
0.98
0.97
Table 4 The prevalence of esophagogastric varices in Baveno VI criteria and its derivatives
Baveno VI
Exp. Baveno VI
New NASH C.C
LSM
platelet
LSM
platelet
LSM
platelet
< 20
150 <
< 25
110 <
< 30
110 <
EGV/rule in (n)
12/26
8/13
6/9
EGV/rule out (n)
13/165
17/178
19/182
Citation: Miura K, Maeda H, Morimoto N, Watanabe S, Tsukui M, Takaoka Y, Nomoto H, Goka R, Kotani K, Yamamoto H. Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities. World J Gastrointest Pathophysiol 2022; 13(3): 96-106