1Division of Immunology and Metabolism, Hokkaido University Graduate School of Medicine, Sapporo, Japan
2Schiff Center for Liver Diseases, University of Miami Miller School of Medicine, Miami, FL, USA
3Department of Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kyoto, Japan
4Department of Gastroenterology and Hepatology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
5Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
Received date: August 21, 2014; Accepted date: September 12, 2014; Published date: September 18, 2014
Citation: Nakamura A, Yoneda M, Sumida Y, Miyoshi H, Nakajima A, et al. (2014) A Caution in the use of the NAFIC Scoring System as a Diagnostic Screening Tool for Nonalcoholic Steatohepatitis. J Gastroint Dig Syst 4:221. doi:10.4172/2161-069X.1000221
Copyright: © 2014 Nakamura A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Objective: We reinvestigated the clinical usefulness of the NAFIC and modified NAFIC scoring systems in Japanese patients with nonalcoholic fatty liver disease (NAFLD) according to the presence/absence of obesity. Methods: A total of 141 Japanese patients with liver-biopsy-confirmed NAFLD were enrolled. All patients were classified as having nonalcoholic fatty liver (NAFL) or nonalcoholic steatohepatitis (NASH) on the basis of Matteoni’s classification. Obesity was defined as a body mass index of ≥25. To evaluate the overall accuracy of the NAFIC and modified NAFIC scoring systems, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of these scoring systems for the diagnosis of NASH were calculated. Results: In the obese group, the sensitivity, specificity, PPV and NPV of the NAFIC scoring system for the diagnosis of NASH were 67.3%, 76.2%, 77.8% and 65.3%, respectively, while the corresponding values for the modified NAFIC scoring systems were 78.8%, 69.0%, 75.9% and 72.5%. On the other hand, in the nonobese group, the sensitivity, specificity, PPV and NPV of the NAFIC scoring system were 47.1%, 86.7%, 66.7% and 74.3%, respectively, while those of the modified NAFIC scoring system were 58.8%, 83.3%, 66.7% and 78.1%, respectively. When the patients were divided by sex, the sensitivity of the NAFIC and modified NAFIC scoring systems in the female nonobese group were 53.8% and 69.2%, respectively. However, surprisingly, in the male nonobese group, the sensitivity of both the scoring systems was only 25.0%. Conclusion: The sensitivity of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH was lower in the male nonobese group than in all the other groups. These findings suggest that caution should be exercised in the use of the NAFIC scoring system as a diagnostic screening tool for NASH in Japanese patients with NAFLD, especially male nonobese patients.
Objective: We reinvestigated the clinical usefulness of the NAFIC and modified NAFIC scoring systems in Japanese patients with nonalcoholic fatty liver disease (NAFLD) according to the presence/absence of obesity.
Methods: A total of 141 Japanese patients with liver-biopsy-confirmed NAFLD were enrolled. All patients were classified as having nonalcoholic fatty liver (NAFL) or nonalcoholic steatohepatitis (NASH) on the basis of Matteoni’s classification. Obesity was defined as a body mass index of ≥25. To evaluate the overall accuracy of the NAFIC and modified NAFIC scoring systems, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of these scoring systems for the diagnosis of NASH were calculated.
Results: In the obese group, the sensitivity, specificity, PPV and NPV of the NAFIC scoring system for the diagnosis of NASH were 67.3%, 76.2%, 77.8% and 65.3%, respectively, while the corresponding values for the modified NAFIC scoring systems were 78.8%, 69.0%, 75.9% and 72.5%. On the other hand, in the nonobese group, the sensitivity, specificity, PPV and NPV of the NAFIC scoring system were 47.1%, 86.7%, 66.7% and 74.3%, respectively, while those of the modified NAFIC scoring system were 58.8%, 83.3%, 66.7% and 78.1%, respectively. When the patients were divided by sex, the sensitivity of the NAFIC and modified NAFIC scoring systems in the female nonobese group were 53.8% and 69.2%, respectively. However, surprisingly, in the male nonobese group, the sensitivity of both the scoring systems was only 25.0%.
Conclusion: The sensitivity of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH was lower in the male nonobese group than in all the other groups. These findings suggest that caution should be exercised in the use of the NAFIC scoring system as a diagnostic screening tool for NASH in Japanese patients with NAFLD, especially male nonobese patients.
Body mass index; Female; Insulin; Male; Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Obesity; Sensitivity; Type IV collagen 7S
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world. It has been estimated that as many as 30% of adults in both Western countries and Japan have NAFLD [1,2]. The clinicopathologic spectrum of NAFLD extends from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH). While NASH carries a high risk of liver disease-related mortality, such as death from hepatic cirrhosis and hepatocellular carcinoma [3,4], NAFL carries a low risk of liver disease-related mortality. Therefore, it is clinically important to distinguish NASH from NAFL.
While numerous non-invasive tests for differentiating NASH from NAFL have been developed [5], the NAFIC scoring system, based on the serum level of ferritin, fasting serum level of insulin and serum level of type IV collagen 7S, has been recognized as a simple and reasonably accurate and clinically useful tool for predicting the presence of NASH in Japanese patients with NAFLD [6]. Furthermore, a modified NAFIC scoring system has also been developed, modified by changing the weightage assigned to the fasting serum insulin level based on the importance of hyperinsulinemia in the pathogenesis of NASH [7-9]. We investigated the clinical usefulness of the modified NAFIC scoring system, and showed superior sensitivity of this modified scoring system for the diagnosis of NASH [10].
Existence of ethnic differences in the relationship between the body mass index (BMI) and liver fat content has been recognized. Azuma et al. showed that Japanese men had a greater predisposition for the development of a fatty liver even with a small increase of the BMI than non-Hispanic whites [11]. Also, according to health check findings in Japan, the prevalence of NAFLD is in the range of 10-20% in nonobese subjects [2,12]. This statistic suggests that differentiating NASH from NAFL could be important even in nonobese patients with NAFLD.
In the present study, therefore, we reinvestigated the clinical usefulness of the NAFIC and modified NAFIC scoring systems in Japanese patients with NAFLD who had undergone liver biopsy stratified by the presence/absence of obesity.
Patients
A total of 141 patients with NAFLD confirmed by liver biopsy between 2004 and 2010 at Yokohama City University Hospital, Japan, were enrolled. The present study was conducted with the approval of the institutional review board, and written informed consent was obtained from all the patients participating in the study. A detailed history was obtained from every patient, and a careful physical examination was carried out. The histological criterion for the diagnosis of NAFLD is the presence of macrovesicular fatty change in the hepatocytes, with displacement of the nucleus to the edge of the cells [13]. The exclusion criteria were: a history of hepatic disease, including chronic hepatitis C or concurrent active hepatitis B (serum positive for hepatitis B surface antigen), autoimmune hepatitis, primary biliary cirrhosis, sclerosing cholangitis, hemochromatosis, a1-antitrypsin deficiency or Wilson’s disease, non-availability of data on difficulty in measuring the height and/or weight of the patient, and current/past consumption of more than 20 g of alcohol daily. None of the subjects enrolled in the study had a history of taking drugs that could cause fatty liver, such as amiodarone, diltiazem, tamoxifen or steroids. None of the subjects presented with clinical evidence of hepatic decompensation, such as hepatic encephalopathy, ascites, variceal bleeding or a serum bilirubin level more than twice the upper limit of normal.
Clinical and laboratory evaluation
Body weight and height were obtained for the subjects, and the BMI was calculated. Obesity was defined as a BMI of ≥25 [14]. Venous blood samples were collected after the subjects had fasted overnight (12 h). Laboratory evaluations included measurements of the serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), ferritin, type IV collagen 7S, and insulin in all patients; all of these parameters were measured using standard techniques. The score in the original NAFIC scoring system is calculated as the weighted sum of three clinical variables [Serum ferritin ≥ 200 ng/ml (female) or ≥ 300 ng/ml (male), 1 point; serum fasting insulin ≥ 10 μU/ml, 1 point; serum type IV collagen 7S ≥ 5.0 ng/ml, 2 points] (Table 1a). It has been demonstrated that the possibility of NASH is high when the NAFIC score is 2 or higher [6]. The modified NAFIC score is also a weighted sum of the scores for the three clinical variables, although the weightage given to higher fasting serum insulin levels is higher than that in the original NAFIC scoring system [Serum ferritin ≥ 200 ng/ml (female) or ≥ 300 ng/ml (male), 1 point; serum type IV collagen 7S ≥ 5.0 ng/ml, 2 points; serum fasting insulin 10-15 μU/ml, 1 point and ≥ 15 μU/ml, 2 points] (Table 1b). It has been demonstrated that the possibility of NASH is high when the modified NAFIC score is 2 or higher [10].
Clinical parameter | Definition | Point |
Fasting insulin (μU/ml) | <10 | 0 |
≥10 | 1 | |
Ferritin (ng/ml) | <200 (female) or <300 (male) | 0 |
≥200 (female) or ≥300 (male) | 1 | |
Type IV collagen 7S (ng/ml) | <5 | 0 |
≥5 | 2 |
Table 1a: The criteria in the original NAFIC scoring system [6,10].
Clinical parameter | Definition | Point |
Fasting insulin (μU/ml) | <10 | 0 |
10-15 | 1 | |
≥15 | 2 | |
Ferritin (ng/ml) | <200 (female) or <300 (male) | 0 |
≥200 (female) or ≥300 (male) | 1 | |
Type IV collagen 7S (ng/ml) | <5 | 0 |
≥5 | 2 |
Table 1: b) The criteria in the modified NAFIC scoring system [6,10].
Histological evaluation
All the patients enrolled in this study underwent a percutaneous liver biopsy under ultrasound guidance. The liver biopsy specimens were stained with hematoxylin-eosin, reticulin and Masson trichrome stains, and all the specimens were examined by an experienced pathologist who was blinded to the clinical and biochemical data of the patients. All the patients were classified as having steatosis or steatohepatitis on the basis of Matteoni’s classification (type 1, simple steatosis without inflammation or fibrosis; type 2, steatosis with lobular inflammation but without fibrosis; type 3, additional presence of ballooned hepatocytes; type 4, presence of either Mallory’s hyaline bodies or fibrosis) [15,16]. If the Matteoni classification was type 3 or 4, the subject was diagnosed as having NASH.
Statistical analysis
The results are expressed as means ± SD. The statistical significances of differences between two groups were analyzed by Student’s t test. The chi-square test was used to analyze the significance of differences in the proportions among groups. To evaluate the overall accuracy of the NAFIC score and the modified NAFIC score, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the scoring systems for the diagnosis of NASH were calculated. A p value <0.05 was considered to indicate a statistically significant difference.
Characteristics of the patients
The clinical and biochemical characteristics of the patients are shown in Table 2. Of the 141 patients, 94 (66.7%) were diagnosed as having obesity (obese group), while the remaining 47 (33.3%) were nonobese (nonobese group). There were no significant differences in the serum levels of AST or ferritin between the two groups. The age and the AST/ALT ratio were significantly lower in the obese group than in the nonobese group, whereas, by contrast, the percentage of males, the BMI, and the serum levels of AST, ALT, type IV collagen 7S and insulin were significantly higher in the obese group than in the nonobese group. Both the NAFIC scores and modified NAFIC scores were significantly higher in the obese group than in the nonobese group. Also, the percentage of patients with NASH was significantly higher in the obese group (55.3%) than in the nonobese group (36.2%).
Obese group | Nonobese group | p value | |
N | 94 | 47 | |
Age (years) | 45.8 ± 13.7 | 55.4 ± 14.4 | 0.0002 |
Sex (male/female) | 62/32 | 18/29 | 0.0018 |
BMI (kg/m2) | 30.2 ± 4.2 | 22.8 ± 1.5 | <0.0001 |
AST (IU/l) | 50.0 ± 24.7 | 46.9 ± 38.0 | 0.6187 |
ALT (IU/l) | 87.1 ± 53.9 | 65.6 ± 48.9 | 0.0232 |
AST/ALT ratio | 0.63 ± 0.17 | 0.78 ± 0.26 | 0.0007 |
Ferritin (ng/ml) | 283.7 ± 229.8 | 232.7 ± 232.8 | 0.2183 |
Type IV collagen 7S (ng/ml) | 4.72 ± 1.35 | 4.13 ± 0.84 | 0.0020 |
Fasting insulin (mU/ml) | 15.3 ± 10.3 | 10.4 ± 5.0 | 0.0002 |
NAFIC score | 1.69 ± 1.33 | 0.98 ± 1.07 | 0.0017 |
Modified NAFIC score | 2.03 ± 1.59 | 1.15 ± 1.30 | 0.0013 |
NASH/NAFL | 52/42 | 17/30 | 0.0320 |
Table 2: Clinical characteristics of all patients in the obese and nonobese groups; BMI: body mass index; AST: aspartate aminotransferase; ALT: alanine aminotransferase; NASH: nonalcoholic steatohepatitis; NAFL: nonalcoholic fatty liver; Values are expressed as means ± S.D.
Prediction of NASH from the NAFIC and modified NAFIC scores in the obese group
The clinical and biochemical characteristics of the patients in the obese group are shown in Table 3. Of the 94 patients in this group, 52 (55.3%) were histologically diagnosed as having NASH, and the remaining 42 (44.7%) as not having NASH. The serum levels of AST, ALT, type IV collagen 7S and insulin were significantly higher in the NASH group than in the NAFL group. Both the NAFIC score and modified NAFIC score were significantly higher in the NASH group than in the NAFL group. A 2×2 cross tabulation of the numbers of patients with and without NASH arranged in groups with NAFIC and modified NAFIC scores of <2 or ≥2 is shown in Table 4. The sensitivity, specificity, PPV and NPV of the NAFIC scoring system for the diagnosis of NASH were 67.3%, 76.2%, 77.8% and 65.3%, respectively (Supplemental Table 1a); the corresponding values for the modified NAFIC scoring system were 78.8%, 69.0%, 75.9% and 72.5% (Supplemental Table 1b). These results showed that the sensitivity for the diagnosis of NASH increased with the use of the modified NAFIC score as compared to that of the NAFIC scoring system in the obese group, consistent with the finding in our previous study [10].
NAFL | NASH | p value | |
N | 42 | 52 | |
Age (years) | 43.2 ± 12.3 | 48.0 ± 14.5 | 0.0948 |
Sex (male/female) | 30/12 | 32/20 | 0.3144 |
BMI (kg/m2) | 29.5 ± 4.0 | 30.8 ± 4.3 | 0.1287 |
AST (IU/l) | 40.8 ± 21.7 | 57.4 ± 24.8 | 0.0010 |
ALT (IU/l) | 73.2 ± 48.0 | 98.3 ± 56.2 | 0.0238 |
AST/ALT ratio | 0.61 ± 0.15 | 0.64 ± 0.19 | 0.3558 |
Ferritin (ng/ml) | 242.2 ± 171.2 | 317.2 ± 264.9 | 0.1012 |
Type IV collagen 7S (ng/ml) | 4.28 ± 1.12 | 5.07 ± 1.43 | 0.0040 |
Fasting insulin (mU/ml) | 11.8 ± 8.0 | 18.1 ± 11.1 | 0.0022 |
NAFIC score | 1.02 ± 1.09 | 2.23 ± 1.26 | <0.0001 |
Modified NAFIC score | 1.19 ± 1.27 | 2.71 ± 1.50 | <0.0001 |
Table 3: Clinical characteristics of the patients in the obese group
NAFIC score | 0-1 | 4-Feb |
NAFL | 32 | 10 |
NASH | 17 | 35 |
Table 4: The 2×2 cross tabulations of the numbers of patients with and without nonalcoholic steatohepatitis in the obese group arranged in groups with NAFIC scores of <2 or ≥2 (a) and modified NAFIC scores of <2 or ≥2
Modified NAFIC score | 0-1 | 5-Feb |
NAFL | 29 | 13 |
NASH | 11 | 41 |
Table 4: b) NASH: nonalcoholic steatohepatitis; NAFL: nonalcoholic fatty liver
Prediction of NASH from the NAFIC and modified NAFIC scoring systems in the nonobese group
The clinical and biochemical characteristics of the patients in the nonobese group are shown in Table 5. Of the 47 patients in this group, 17 (36.2%) were histologically diagnosed as having NASH, and the remaining 30 (63.8%) as not having NASH. The serum levels of type IV collagen 7S and insulin were significantly higher in the NASH group than in the NAFL group. Both the NAFIC scores and modified NAFIC scores were significantly higher in the NASH group than in the NAFL group. A 2×2 cross tabulation of the numbers of patients with and without NASH arranged in groups with NAFIC and modified NAFIC scores of <2 or ≥2 is shown in Table 6. The sensitivity, specificity, PPV and NPV of the NAFIC scoring system for the diagnosis of NASH were 47.1%, 86.7%, 66.7% and 74.3%, respectively (Supplemental Table 2a); the corresponding values for the modified NAFIC scoring system were 58.8%, 83.3%, 66.7% and 78.1%, respectively (Supplemental Table 2b). These results indicate that the sensitivity of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH was 20% lower in the nonobese group than that in the obese group, although the sensitivity increased with the use of the modified NAFIC score as compared to that of the NAFIC scoring system in the nonobese group.
NAFL | NASH | p value | |
N | 30 | 17 | |
Age (years) | 52.5 ± 14.7 | 60.6 ± 12.7 | 0.0634 |
Sex (male/female) | 14/16 | 4/13 | 0.1350 |
BMI (kg/m2) | 22.6 ± 1.7 | 23.1 ± 1.1 | 0.2313 |
AST (IU/l) | 40.3 ± 34.5 | 58.6 ± 42.1 | 0.1122 |
ALT (IU/l) | 55.5 ± 42.3 | 83.4 ± 55.7 | 0.0594 |
AST/ALT ratio | 0.78 ± 0.24 | 0.77 ± 0.10 | 0.8677 |
Ferritin (ng/ml) | 202.2 ± 175.1 | 286.9 ± 308.9 | 0.3087 |
Type IV collagen 7S (ng/ml) | 3.90 ± 0.66 | 4.55 ± 0.97 | 0.0085 |
Fasting insulin (mU/ml) | 9.0 ± 3.7 | 12.9 ± 6.2 | 0.0286 |
NAFIC score | 0.63 ± 0.81 | 1.59 ± 1.23 | 0.0084 |
Modified NAFIC score | 0.70 ± 0.92 | 1.94 ± 1.52 | 0.0055 |
Table 5: Clinical characteristics of the patients in the nonobese group BMI: body mass index; AST: aspartate aminotransferase; ALT: alanine aminotransferase; NASH: nonalcoholic steatohepatitis; NAFL: nonalcoholic fatty liver; Values are expressed as means ± S.D.
NAFIC score | 0-1 | 2-4 |
NAFL | 26 | 4 |
NASH | 9 | 8 |
Table 6: The 2×2 cross tabulations of the numbers of patients with and without nonalcoholic steatohepatitis in the nonobese group arranged in groups with NAFIC scores of <2 or ≥2 (a) and modified NAFIC scores of <2 or ≥2
Modified NAFIC score | 0-1 | 2-5 |
NAFL | 25 | 5 |
NASH | 7 | 10 |
Table 6: b)NASH: nonalcoholic steatohepatitis; NAFL: nonalcoholic fatty liver
When the patients were divided by sex, the sensitivity of the NAFIC and modified NAFIC scoring systems in the female nonobese group were 53.8% and 69.2%, respectively. However, surprisingly, in the male nonobese group, the sensitivity of both the scoring systems was only 25.0%. Whereas, the sensitivity of the NAFIC and modified NAFIC scoring systems were 60.0% and 81.3% in the female obese group, and 71.9% and 75.0% in the male obese group, respectively. The clinical parameters of the NAFIC and modified NAFIC scoring systems stratified by the sex in the nonobese group are shown in Table 7. Although the serum levels of type IV collagen 7S and fasting serum insulin levels, and the NAFIC and modified NAFIC scores were significantly higher in the female patients with NASH than in the female patients without NASH, there were no significant differences in these parameters or scores between the male patients with and without NASH. However, the NAFIC and modified NAFIC scores were significantly higher in the male obese patients with NASH than in those without NASH (NAFIC score: 0.97 ± 0.89 without NASH vs. 1.88 ± 0.87 with NASH, P = 0.0001; Modified NAFIC score: 1.17 ± 1.15 without NASH vs. 2.38 ± 1.13 with NASH, P = 0.0001).
NAFL | NASH | p value | |
Ferritin (ng/ml) | 270.2 ± 228.6 | 290.0 ± 176.7 | 0.8758 |
Type IV collagen 7S (ng/ml) | 3.97 ± 0.78 | 3.98 ± 0.62 | 0.9934 |
Fasting insulin (μU/ml) | 9.7 ± 3.8 | 8.1 ± 3.4 | 0.4393 |
NAFIC score | 0.93 ± 1.00 | 0.75 ± 0.96 | 0.7545 |
Modified NAFIC score | 1.00 ± 1.11 | 0.75 ± 0.96 | 0.6892 |
Table 7: The clinical parameters of the NAFIC and modified NAFIC scoring systems stratified into males (a) and females
NAFL | NASH | p value | |
Ferritin (ng/ml) | 142.3 ± 76.6 | 285.9 ± 345.5 | 0.1655 |
Type IV collagen 7S (ng/ml) | 3.83 ± 0.55 | 4.73 ± 1.01 | 0.01 |
Fasting insulin (μU/ml) | 8.4 ± 3.7 | 14.4 ± 6.1 | 0.0033 |
NAFIC score | 0.38 ± 0.50 | 1.85 ± 1.21 | 0.0009 |
Modified NAFIC score | 0.44 ± 0.63 | 2.31 ± 1.49 | 0.0007 |
Table 7: b) in the nonobese group; NASH: nonalcoholic steatohepatitis; NAFL: nonalcoholic fatty liver
In the present study, we estimated the clinical usefulness of the NAFIC and modified NAFIC scoring systems for distinguishing between NASH and NAFL according to the presence or absence of obesity in Japanese patients with nonalcoholic fatty liver disease. The results revealed that the sensitivity of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH in obese Japanese patients with NAFLD was higher than or comparable to that in our previous study [10]. Therefore, these scoring systems, especially modified NAFIC scoring system, could be a clinically useful diagnostic screening tool for NASH in obese Japanese patients with NAFLD.
Whereas, our results also revealed that the sensitivity of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH was low in nonobese Japanese patients with NAFLD. Although the prevalence of NAFLD by ultrasonography increased with the BMI in Japan according to an analysis of findings in health check findings [17], 10-20% of Japanese nonobese subjects are estimated to have NAFLD [2,12]. Ethnic differences in the prevalence of hepatic steatosis have been noted in an urban population in the United States [18]. To investigate an ethnic differences in the relationship between BMI and liver fat content, Azuma et al. compared the liver fat content, estimated by computed tomography, in 313 Japanese men and 288 non-Hispanic whites [11]. They showed that liver fat content was higher in Japanese than in non-Hispanic white men, despite the lower mean BMI of Japanese men, and that the liver fat content increased at a higher rate with increasing BMI in Japanese men. Therefore, it is important to point out the problem of the low sensitivity of the NAFIC and modified NAFIC scoring systems in nonobese Japanese patients with NAFLD. In our study, 36.2% of nonobese patients with NAFLD were diagnosed as having NASH. Also, several studies have shown that BMI is not a useful independent factor for differentiating NAFL from NASH in Japanese patients with NAFLD [6,19,20]. Based on these perspectives, an accurate tool for differentiating NAFL from NASH would be needed even in nonobese patients with NAFLD.
Why was the sensitivity as estimated by the NAFIC and modified NAFIC scoring systems low in male nonobese Japanese patients with NAFLD? In our study, both the NAFIC and modified NAFIC scores were significantly higher in female nonobese patients with NASH than in those without NASH, while this was not the case in the male nonobese patients (Table 7). The NAFIC and modified NAFIC scoring systems are composed of the serum level of ferritin, fasting serum level of insulin and serum level of type IV collagen 7S. As shown in Table 7, the serum levels of type IV collagen 7S and insulin were significantly higher in patients with NASH than in those without NASH in the female nonobese group, but not in the male nonobese group (Table 7). These results suggest that the absence of increases in the serum levels of type IV collagen 7S or insulin in the male nonobese Japanese patients with NASH could be the reason for the low NAFIC and modified NAFIC scores in the male nonobese patients, resulting in the decreased sensitivity of either scoring system for the diagnosis of NASH. Currently, it is not known why there were differences in these parameters between the two sexes. However, since in clinical practice, it is important not to miss the presence of NASH, other noninvasive assessment tools, such as transient elastography [21], could be used for predicting NASH in male nonobese Japanese patients with NAFLD.
The limitations of our study were its retrospective design and the relatively small size of the sample. Another was that the patients were recruited from a hepatology center in Japan with a particular interest in the study of NAFLD, which could have introduced some referral bias. Patient selection bias could also have existed, because liver biopsy may have been considered only for NAFLD patients who were likely to have NASH. Thus, the findings may not entirely represent all NAFLD patients in the general population. In addition, it is not clear what the determinative factors are for distinguishing between NASH and NAFL in male nonobese Japanese patients with NAFLD. Therefore, one of the challenges for the future is to explore these factors. Another is to develop a simple noninvasive scoring system aimed at distinguishing between NASH and NAFL in male nonobese Japanese patients with NAFLD.
In conclusion, the sensitivities of both the NAFIC and modified NAFIC scoring systems for the diagnosis of NASH were lower in the male nonobese group than in the other groups. These findings suggest that caution should be exercised in the use of the NAFIC scoring system as a diagnostic screening tool for NASH in Japanese patients with NAFLD, especially male nonobese patients.
This work was supported in part by Grants-in-Aid for Scientific Research (B) 21390282 and (B) 24390235 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), of Japan, a Medical Award from the Japan Medical Association, a Grant-in-Aid from the Uehara Memorial Foundation, a Grant-in-Aid from the Takeda Science Foundation (to Y.T.), and a Grant-in-aid for Front Runner of Future Diabetes Research (to A.N.). The authors have no conflicts of interests to declare.
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