Hepatic steatosis contributes to fibrosis in Asian-American patients with chronic hepatitis B infection
Introduction
Hepatitis B virus (HBV) infection is a major public health concern. The infection affects over 257 million people across the globe and is responsible for 887,000 deaths from complications such as hepatocellular carcinoma and liver failure (1). Most individuals early in their disease are unaware of their infection (2). There are a number of modifiable and non-modifiable risk factors associated with disease progression such as HBV deoxyribonucleic acid (DNA), gender, age, and alanine aminotransferase (ALT) in some patients (3-5). Antiviral therapy is an effective method to lowering HBV DNA levels and is effective in reversing fibrosis and decrease risk of the hepatic complications of HBV.
Fatty liver is also an important public health issues that has been described in about a quarter of the world’s population (6). A specific type of fatty liver termed non-alcoholic steatohepatitis (NASH) can cause progressive liver disease, and now is the second most common indication for liver transplantation in the United States (7). Moreover, fatty liver is the most common underlying risk factor for HCC among patients in the United States with Medicare insurance, a costly burden on the healthcare system (8). The most cost-effective treatment for fatty liver is weight loss, as ten percent of weight loss has been associated with reversing hepatic damage (seen histologically) in patients with NASH (9). However, given the increasing prevalence of this disease, numerous promising pharmaceutical and non-pharmaceutical agents are being investigated including peroxisome proliferator-activated receptor (PPAR)-gamma agonist, glucagon-like peptide (GLP)-1 agonist, obeticholic acid, as well as increased coffee intake (10-12).
There are a number of examples of the interactions between different causes of liver disease. For instance, the alcohol consumption and HBV have been independently described as risk factors for Hepatitis C virus (HCV) progression (13). Given the medical concerns with both HBV and fatty liver, and the global prevalence, we sought to study the interaction between these two disorders. We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/dmr-20-75).
Methods
Setting and study population
This is a single center retrospective study of consecutive patients with HBV infection at a community-based practice in Southern California who underwent transient elastography (Fibroscan® 530, Echosens™, Waltham, MA) as routine medical care. Chronic HBV infection was defined by detectable HBsAg. This study includes patients from January 2019 until the end of October of 2019. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Institutional Review Board (IRB#19-002283). Informed consent is not applicable since this was a retrospective study.
Imaging modalities in the noninvasive assessment of hepatic fibrosis
Radiological evaluation has significantly improved the estimation of liver fibrosis. Among these imaging modalities are magnetic resonance elastography (MRE) and transient elastography. Each of these techniques are noninvasive when compared to hepatic biopsy, however, in consideration of cost, complications and ease of use in the ambulatory setting, transient elastography has been widely used. Transient elastography was performed by one of the authors (SW). Briefly, a 50 hertz shear wave is passed from the tip of the probe to the patient. It travels through the liver tissue, and its speed is measured through ultrasound pulses as it passes through the liver. The velocity is then used to calculate the liver stiffness, measured in kilopascals, which estimates severity of fibrosis in which Hepatitis B specific thresholds were utilized (14,15). In our study, we made use of the Controlled Attenuation Parameter (CAP), an emerging measurement based on transient elastography with relatively high diagnostic accuracy for detecting hepatic steatosis in patients with liver disease (16).
Two different sized probes were utilized depending on the weight of the patient and/or the varying distances between the skin to the center of the liver, also known as the skin-to-capsule distance (17). The medium sized probe measures the median CAP score (amount of fatty change in the liver) and E score (liver stiffness) from 25–65 mm below the surface of the skin, and the XL sized probe measures from 35–75 mm below the surface of the skin. Measurements were performed as previously described (18). The XL probe is used when the skin-liver capsule distance is greater than 25. At least 12 measurements were taken.
Stratification of fibrosis stages and steatosis percentage was done according to manufactural specification (Echosens™, Waltham, MA). Briefly, fibrosis stages were categorized as F/0/F1, F2, F3 and F4 depending on the liver stiffness. Similarly, steatosis percentage was defined as S0 (0–<5%), S1 (5–33%), S2 (>34–66%). and S3 (>66%).
Operational definitions
We defined hypertension as blood pressure above 130/80 mmHg or the use of anti-hypertensive medications (19). We defined hyperlipidemia as the used of anti-lipid medications or an LDL value adjusted according to the number of cardiovascular risk factors (20). Specifically, hyperlipidemia was defined if the LDL value was greater than 190 mg/dL if there were no cardiovascular risk factors, greater than 160 mg/dL if there is one major, or greater than 130 mg/dL if there are two. The risk factors include hypertension, use of tobacco, diabetes, low HDL cholesterol, premature coronary heart disease, and age (males that are 45 years or older and females that are 55 years or older) were also recorded (20). Laboratory data was collected at the time of the transient elastography and before antiviral therapy was stared. We recorded the laboratory values such as HBsAg titers, HBV DNA levels, and HBeAg status. We used American Association for the Study of Liver Disease definitions for abnormal ALT values ~ upper limit of normal ALT 33 U/L for men and 25 U/L for women (21,22).
Statistical Analysis
Continuous data were summarized as mean with standard deviation (SD). All data analysis was conducted using STATA 15 (StataCorp 2015, College Station). Univariate analysis was performed using Fisher’s exact test for discrete data and Wilcoxon Rank Sum test for continuous data. All hypothesis tests were two-sided and a p-value below 0.05 was considered statistically significant. We used the Chi-Square Test of Independence to compare proportions of categorical variables. Since we had a larger sample size of greater than 100, the Kolmogorov-Smirnov test was used along with histograms to identify normality. For data that was non-parametric, we used the Mann-Whitney U test.
Results
One hundred and forty-two patients underwent transient elastography at our office (Table 1). The overall mean (± SD) age of the cohort was 56 (±12.7) years. Most of the patients were men and all patients were of Asian background. The overall mean (± SD) ALT was 23 (±16.2) IU/mL. Most patients in our cohort had steatosis noted on transient elastography: one hundred and twelve patients had steatosis, and 30 patients had no evidence of steatosis. The overall and stratification lipid panel values and documentation of metabolic features are shown in Table 1. Patients with fatty liver were more likely to be men (P value =0.010) and have higher ALT values (P value 0.032). None of the patients without steatosis had detectable HBeAg, whereas 13% of patients of patients with steatosis had detectable HBeAg levels (P value =0.264).
Table 1
Variables | All patients | No fatty liver | Fatty liver | P value |
---|---|---|---|---|
Total | 142 | 30 | 112 | |
Gender | 0.010 | |||
Male | 77 (54.2%) | 10 (33.3%) | 67 (59.8%) | |
Female | 65 (45.7%) | 20 (66.7%) | 45 (40.2%) | |
BMI | 23.6±3.4 | 21.0±2.5 | 24.3±3.3 | 0.000 |
Age, years | 55.7±12.7 | 52.8±13.2 | 56.4±12.4 | 0.166 |
ALT, U/L | 23.0±16.2 | 19.3±8.7 | 24.3±17.5 | 0.032 |
HBV DNA, U/mL | 6,282±37,903 | 5,403±12,332 | 6,520±42,286 | 0.808 |
HBeAg + | 14/136 (10.3%) | 0/30 (0%) | 14/106 (13.2%) | 0.264 |
Total cholesterol, mg/dL | 173.1±33.5 | 175.3±33.1 | 172.5±33.9 | 0.590 |
LDL, mg/dL | 97.2±27.3 | 91.6±25.7 | 98.7±27.6 | 0.369 |
HDL, mg/dL | 55.1±15.4 | 67.4±15.2 | 51.8±13.8 | 0.000 |
AFP, ng/mL | 1.8±1.8 | 2.4±2.6 | 1.7±1.6 | 0.169 |
Glucose, mg/dL | 99.1±22.9 | 98.4±26.9 | 99.4±21.8 | 0.832 |
Hemoglobin a1c | 6.0±0.9 | 6.0±0.8 | 6.0±0.9 | 1.000 |
Mean Fib-4 | 1.38±0.9 | 1.54±1.3 | 1.34±0.7 | 0.423 |
HTN | 37 (26.1%) | 3 (10%) | 34 (30.4%) | 0.024 |
Diabetes | 13 (9.1%) | 2 (6.7%) | 11 (10.4%) | 0.543 |
Hypercholesterolemia | 71 (50.0%) | 15 (50%) | 56 (50%) | 1.000 |
Normal ALT values: <33 U/L for men and <25 U/L for women. ALT, alanine aminotransferase; aspartate aminotransferase; HBeAg, hepatitis B e-antigen; HBV, hepatitis B virus; AFP, alpha fetoprotein; LDL, low-density lipoprotein; HDL, high density lipoprotein; HTN, hypertension; Fib-4, fibrosis-4 index.
Forty percent of our entire cohort were on antiviral therapy. The mean ALT (SD) and HBV DNA (SD) before starting therapy were 82.4 (52.0) IU/L and 136,357,713 (349,301,962) IU/L, respectively. None of the patients in the non-steatosis group were treated with antiviral agents, whereas most patients in the steatosis group were on treatment (49/112). None of the patients on treatment had measurable HBeAg titers. The overall mean (± SD) viral load HBV DNA of patients was 9,579 (±48,181.7) IU in the patients not on antiviral therapy. The mean viral load was greater in steatosis group than the non-steatosis group (11,427 vs. 5,403 IU, respectively) but not statistically significant (P value 0.59). The mean ALT value was statistically significant higher in the steatosis than non-steatosis group (22 vs. 19 IU, respectively; P value 0.011). Mean Fib-4 results were similar in the steatosis and non-steatosis groups (1.55 vs. 1.25, P value 0.063). The duration of treatment was 53.1 (17.6) months. There was a moderate association between use of antivirals and presence of fatty liver (λ=0.119).
The prevalence of diabetes, and hypercholesterolemia was similar in the two groups. A diagnosis of hypertension was almost three times more common in patients with hepatic steatosis as compared to those patients without steatosis (P value 0.024). Values of HDL were also lower in patients with hepatic steatosis (P value <0.01). The median BMI was higher in patients with hepatic steatosis than those without steatosis (24.0 vs. 21.0, P value <0.01). The distribution of BMI according to the presence of steatosis in patients with chronic hepatitis B is shown in Figure 1.
Discussion
As expected, our manuscript provides further evidence that the presence of steatosis not only increases liver enzymes in patients with hepatitis B but increases viral loads as well. HBeAg was more likely to be detectable in patients with fatty liver disease, in which hepatic steatosis contributed to a greater likelihood of advanced fibrosis. However, an unexpected finding of our study was the large cohort of patients with fatty liver disease using of the CAP measurement. Approximately 2/3 of our entire cohort had hepatic steatosis. This is higher than expected in the general population where approximately 25% of patients have non-alcoholic fatty liver disease. Originally this was thought to be attributed to our selected cohort of Asian-Americans, however, our prevalence is also higher than that reported by Golabi et al. in Asian American adults in the United States (23,24). We believe this could be attributed to our use of the CAP when screening for fatty liver disease, as our results indicate the use of the CAP may prove to be a better diagnostic indicator than previously reported. Nevertheless, as expected, patients with hepatic steatosis were more likely to have metabolic risk factors such as lower HDL, hypertension, and greater BMI. An unexpected finding was that a substantial number of patients in our cohort had steatosis even at BMI below 30 and 25, the threshold value for defining obesity and overweight respectively among individuals from Asia (“Mean Body” 2017 and “Appropriate Body-Mass” 2014). In fact, over 63.3% of our patients had a BMI below 25. 95.8% of our patients had a BMI below 30. This is consistent with current healthcare disparities research which demonstrates metabolic risk factors differ by ethnicity, as Asian patients develop fatty liver disease more readily and at a lower BMI than Caucasian cohorts (25). We believe further health disparities research is needed to investigate this finding in other underrepresented populations, which would help determine if treatment for steatosis should be used in patients with a BMI below 25 (26).
The relationship between fatty liver and hepatitis B has been controversial. Several studies have shown that hepatitis B is either a risk factor for fatty liver disease or has no impact at all (27-29). Zhu et al. seem to suggest that viral replication is not related to fatty liver disease, but rather the etiology of steatosis (30). No suggested mechanisms were reported, although some confounding factors could include type and severity of metabolic features and the degree of steatosis. Fibrosis being the hallmark of chronic liver disease, measuring the severity remains important to help define the natural history of HBV. Although, direct measurements through hepatic biopsy are invasive, costly and poses significant risk for patients, histological evaluation and linear regression modeling for active viral hepatitis against the degree of steatohepatitis has also shown to have no correlation, concordant with Worland et al. manuscript (31).
As in other causes of liver disease, there have been a number of studies assessing the utility of non-invasive tools to measure hepatic fibrosis, including serological [aspartame aminotransferase to platelet ratio (APRI) score, FibroTest/FibroSure and Fib-4 index] and radiologic (TE and MRE) test. We used in our study two different measures of fibrosis. One was laboratory based, and the other based on imaging. We used the Fib-4 as a laboratory assessment based on the results of a recent systematic review, which found it more accurate then APRI and select propriety tests to predict the presence of fibrosis (32). We also employed transient elastography with use of the CAP measurement as our imaging modality. The results of a meta-analysis highlighted the varied specified and sensitivity according to fibrosis stage, but the overall accuracy was quite good (15). A limitation of our study could be the lack of data on MRE in our population since this radiographic modality has the highest accuracy for detecting fibrosis (33).
We suggest based on our results that patients with hepatitis B be screened for fatty liver utilizing Fib-4 and TE with the CAP, as this can be easily done in the outpatient setting with high accuracy. Although the presence of steatosis is invariably related to the presence of metabolic features and not necessarily hepatitis B, the majority of patients with hepatitis B did have fatty liver. Although we were able to demonstrate differences in fibrosis between the 2 groups, we are unable to comment on the long-term effect of steatosis in patients with hepatitis B such as prognosis or the risk of morbidity and mortality (29). Since steatosis did increase liver enzymes independent of hepatitis B viral replication, as noted in other studies, we believe further research is necessary to consider the timeline to initiate antiviral therapy (34).
In conclusion, fatty liver disease occurs more frequently in patients with HBV infections than previously thought when using the CAP. Patients with hepatitis B should be screened for fatty liver using any of the aforementioned modalities, however, we used the Fib-4 index and TE with the CAP. Liver enzyme elevation may occur independent of viral replication, as suggested by our study and other published literature, therefore the initiation of antiviral therapy should incorporate this phenomenon. Advanced fibrosis was greater among Asian patients with both hepatic steatosis and hepatitis B. More studies evaluating the ethnic differences seen in fatty liver disease and HBV is needed to assess the long-term impact on morbidity and mortality.
Acknowledgments
Funding: None.
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/dmr-20-75
Data Sharing Statement: Available at http://dx.doi.org/10.21037/dmr-20-75
Peer Review File: Available at http://dx.doi.org/10.21037/dmr-20-75
Conflicts of Interests: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/dmr-20-75). Dr. Saab serves as an unpaid editorial board member of Digestive Medicine Research from Apr 2020 to Mar 2022 and reports personal fees from Gilead Pharmaceuticals, personal fees from Intercept Pharmaceuticals, outside the submitted work; he is on speaker bureau and advisor/consultation for Gilead and Intercept Pharmaceuticals. Steven S. Wu reports he is on the speaker bureau for Gilead Pharmaceuticals. The other authors have no conflict to disclose.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Institutional Review Board (IRB#19-002283). Informed consent is not applicable since this was a retrospective study.
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Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Hepatitis B. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/hepatitis-b. Published July 18, 2019.
- HHS Office of the Secretary, Office of Infectious Disease. Hepatitis B Basics. HHS.gov. https://www.hhs.gov/hepatitis/learn-about-viral-hepatitis/hepatitis-b-basics/index.html. Published January 30, 2019. Accessed January 26, 2020.
- Sorrell MF, Belongia EA, Costa J, et al. National Institutes of Health Consensus Development Conference Statement: management of hepatitis B. Ann Intern Med. 2009;150:104-10. [Crossref] [PubMed]
- Terrault NA, Bzowej NH, Chang KM, et al. The American Association for the Study of Liver Diseases. AASLD guidelines for treatment of chronic hepatitis B. Hepatology. 2016;63:261-83. [Crossref] [PubMed]
- World Health Organization. Guidelines for the prevention, care and treatment of persons with chronic hepatitis B infection. Geneva, Switzerland; WHO. 2015 Mar.
- Younossi ZM, Koenig AB, Abdelatif D, et al. Global Epidemiology of Nonalcoholic Fatty Liver Disease-Meta-Analytic Assessment of Prevalence, Incidence, and Outcomes. Hepatology. 2016;64:73-84. [Crossref] [PubMed]
- Wong RJ, Aguilar M, Cheung R, et al. Nonalcoholic Steatohepatitis Is the Second Leading Etiology of Liver Disease Among Adults Awaiting Liver Transplantation in the United States. Gastroenterology 2015;148:547-55. [Crossref] [PubMed]
- Hester D, Golabi P, Paik J, et al. Among Medicare Patients With Hepatocellular Carcinoma, Non–Alcoholic Fatty Liver Disease Is the Most Common Etiology and Cause of Mortality. J Clin Gastroenterol 2020;54:459-67. [Crossref] [PubMed]
- Vilar-Gomez E, Martinez-Perez Y, Calzadilla-Bertot L, et al. Weight Loss Through Lifestyle Modification Significantly Reduces Features of Nonalcoholic Steatohepatitis. Gastroenterology 2015;149:367-78. [Crossref] [PubMed]
- Ratziu V, Giral P, Jacqueminet S, et al. Rosiglitazone for nonalcoholic steatohepatitis: one-year results of the randomized placebo-controlled Fatty Liver Improvement with Rosiglitazone Therapy (FLIRT) Trial. Gastroenterology 2008;135:100-110. [Crossref] [PubMed]
- Carbone LJ, Angus PW, Yeomans ND. Incretin-based therapies for the treatment of non-alcoholic fatty liver disease: A systematic review and meta-analysis. J Gastroenterol Hepatol 2016;31:23-31. [Crossref] [PubMed]
- Saab S, Divya M, Cox GA 2nd, et al. Impact of coffee on liver diseases: a systematic review. Liver Int 2014;34:495-504. [Crossref] [PubMed]
- Bedogni G, Miglioli L, Masutti F, et al. Natural Course of Chronic HCV and HBV Infection and Role of Alcohol in the General Population: The Dionysos Study. Am J Gastroenterol 2008;103:2248-53. [Crossref] [PubMed]
- Chen J, Wu D, Wang M, et al. Controlled attenuation parameter for the detection of hepatic steatosis in patients with chronic hepatitis B. Infect Dis (Lond) 2016;48:670-5. [Crossref] [PubMed]
- Li Y, Huang YS, Wang ZZ, et al. Systematic review with meta-analysis: the diagnostic accuracy of transient elastography for the staging of liver fibrosis in patients with chronic hepatitis B. Aliment Pharmacol Ther 2016;43:458-69. [Crossref] [PubMed]
- Chon YE, Jung KS, Kim SU, et al. Controlled attenuation parameter (CAP) for detection of hepatic steatosis in patients with chronic liver disease: a prospective study of a native Korean population. Liver Int 2014;34:102-9. [Crossref] [PubMed]
- Berger A, Shili S, Zuberbuhler F, et al. Liver Stiffness Measurement With FibroScan. Clin Transl Gastroenterol 2019;10:e00023. [Crossref] [PubMed]
- Castera L, Friedrich-Rust M, Loomba R. Noninvasive Assessment of Liver Disease in Patients with Nonalcoholic Fatty Liver Disease. Gastroenterology 2019;156:1264-81. [Crossref] [PubMed]
- Whelton PK, Carey RM, Aronow WS, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018;71:e13-e115. [PubMed]
- Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/ APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019;73:e285-50. [Crossref] [PubMed]
- Kwo PY, Cohen SM, Lim JK. ACG Clinical Guideline: Evaluation of Abnormal Liver Chemistries. Am J Gastroenterol 2017;112:18-35. [PubMed]
- Terrault NA, Lok ASF, McMahon BJ, et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology 2018;67:1560-99. [PubMed]
- Younossi Z, Tacke F, Arrese M, et al. Global Perspectives on Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis. Hepatology 2019;69:2672-82. [Crossref] [PubMed]
- Golabi P, Paik J, Hwang JP, et al. Prevalence and outcomes of non-alcoholic fatty liver disease (NAFLD) among Asian American adults in the United States. Liver Int 2019;39:748-57. [Crossref] [PubMed]
- Mohanty SR, Troy TN, Huo D, et al. Influence of ethnicity on histological differences in non-alcoholic fatty liver disease. J Hepatol 2009;50:797-804. [Crossref] [PubMed]
- Bambha K, Belt P, Abraham MNonalcoholic Steatohepatitis Clinical Research Network Research Group, et al. Ethnicity and nonalcoholic fatty liver disease. Hepatology 2012;55:769-80. [Crossref] [PubMed]
- Cai S, Ou Z, Liu D, et al. Risk factors associated with liver steatosis and fibrosis in chronic hepatitis B patient with component of metabolic syndrome. United European Gastroenterol J. 2018;6:558-66. [Crossref] [PubMed]
- Baclig MO, Reyes KG, Liles VR, et al. Hepatic steatosis in chronic hepatitis B: a study of metabolic and genetic factors. Int J Mol Epidemiol Genet 2018;9:13-9. [PubMed]
- Peleg N, Issachar A, Sneh Arbib O, et al. Liver steatosis is a strong predictor of mortality and cancer in chronic hepatitis B regardless of viral load. JHEP Reports 2019;1:9-16. [Crossref] [PubMed]
- Zhu L, Jiang J, Zhai X, et al. Hepatitis B virus infection and risk of non-alcoholic fatty liver disease: A population-based cohort study. Liver Int 2019;39:70-80. [Crossref] [PubMed]
- Worland T, Apostolov R, Asadi K, et al. Hepatitis B virus activity is not associated with degree of liver steatosis in patients with hepatitis B‐related chronic liver disease. Liver Int 2020;40:1500-2. [Crossref] [PubMed]
- Xu XY, Kong H, Song RX, et al. The Effectiveness of Noninvasive Biomarkers to Predict Hepatitis B-Related Significant Fibrosis and Cirrhosis: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. PLoS One 2014;9:e100182. [Crossref] [PubMed]
- Xiao H, Shi M, Xie Y, et al. Comparison of Diagnostic Accuracy of Magnetic Resonance Elastography and Fibroscan for Detecting Liver Fibrosis in Chronic Hepatitis B Patients: A Systematic Review and Meta-Analysis. PLoS One 2017;12:e0186660. [Crossref] [PubMed]
- Enomoto H, Aizawa N, Nishikawa H, et al. Relationship Between Hepatic Steatosis and the Elevation of Aminotransferases in HBV-Infected Patients With HBe-Antigen Negativity and a Low Viral Load. Medicine 2016;95:e3565. [Crossref] [PubMed]
Cite this article as: Fong TM, Wu CF, Wu WS, Wu SS, Cox GA 2nd, Saab S. Hepatic steatosis contributes to fibrosis in Asian-American patients with chronic hepatitis B infection. Dig Med Res 2020;3:39.