ABSTRACT
Evaluation of liver fibrosis is necessary to make the therapeutic decision and assess the prognosis of CHB patients. The current study aimed to describe the progression and identify some influencing factors in patients with chronic hepatitis B at a General Hospital in Northern Vietnam. The longitudinal study included 55 eligible subjects diagnosed Hepatitis-B-virus. Dependent variable was the aspartate aminotransferase/platelet ratio index and we collected some demographic variables and disease related and behaviour variables. Bayesian Model Averaging was used to select variables into model. Mixed-effect linear models were used to evaluate the change of the aspartate aminotransferase/platelet ratio index over time and identify related factors. the aspartate aminotransferase/platelet ratio index differences between examinations, age of participants, working status were statistically significant. This pattern indicated that the average the aspartate aminotransferase/platelet ratio index of the population decreased by 0.005 (95% CI=-0.009; –0.001) after each patient’s visit, and increased by 0.013 if the patient’s age increased by 1 year (95% CI=0.005; 0.0219). For non-working patients, the aspartate aminotransferase/platelet ratio index was lower, coefficient was –0.054 (95% CI=-0.108; 0.001). Other variables such as gender, education level, time for disease detection, drinking tea, alcohol consumption, forgetting to take medicine and the aspartate aminotransferase/platelet ratio index were not significantly different. The study showed that the majority of study subjects had average the aspartate aminotransferase/platelet ratio index, and were relatively well controlled and treated during the study. Age and working status are factors that influence the the aspartate aminotransferase/platelet ratio index.
Key Words: liver fibrosis, associated factors, APRI index, mixed-effect model, hepatitis B virus infection
INTRODUCTION
Hepatitis B virus (HBV) infection is one of the leading causes of chronic liver diseases, such as hepatocellular carcinoma and cirrhosis. The number of people being infected with HBV over the world is estimated to be more than 400 million, and infection-related complications have become a serious global health issue.1 Evaluation of liver fibrosis is critical for therapeutic decision-making and prognostic assessment of CHB patients.2
Although a variety of noninvasive diagnostic methods, namely aspartate transaminase and platelet ratio index (APRI), Fibrosis-4, Hepascore, Fibroscan, Fibrotouch, Fibroindex and Forn’s index, are available,3 data on the performance of non-invasive tests for liver fibrosis in patients with hepatitis B are limited. Of the common non-invasive methods, the APRI has been recognized as an inexpensive and accurate method with easy performance routinely in patients. There are evidences demonstrating the clinical value of the APRI in staging liver fibrosis and inflammation with various etiologies. The detection of this index has been recommended by World Health Organization (WHO) for evaluation and monitoring of the liver disease status in treatment and prevention of HBV.4
Vietnam is one of the countries with a relatively high prevalence of people infected with HBV. Recent studies have found that prevalence of HBV infection (HBsAg+) in the general population ranges from 10% to 20%.5-7 In order to provide HBV patients with effective treatment, monitoring and following up the patients as well as identifying the factors related to liver fibrosis are of great importance. Nevertheless, research on this issue in Vietnam remains scarce. Phu Tho General Hospital is a large general hospital in the North of Vietnam, in which the management and monitoring system for hepatitis B patients has been well-recognized for its quality. Therefore, we conducted a longitudinal study entitled “Progression of liver fibrosis and associated factors among chronic hepatitis B patients at a General Hospital in Northern Vietnam: Mixed-effect Model” to describe the progression, identify some factors associated with the disease situation in patients with chronic hepatitis B, and thus, assess the effectiveness of HBV treatment.
MATERIALS AND METHODS
Research design and location
A longitudinal study was performed to describe the changes in APRI and identify some related factors among patients diagnosed Hepatitis-B-virus. The majority of data were retrospectively collected from medical records, except some variables obtained by contacting study subjects via telephone.
Sample size and participants
A total of 66 participants were included in this study. They were Hepatitis B patients over 16 years of age who were treated in Phu Tho General Hospital and revisited the hospital on a monthly basis, from January 2017 to August 2018. Patients were treated by NA (Tenofovir 300mg/day) as long as they met the following criteria: 1) experiencing HBeAg-positive chronic hepatitis B with HbsAg-positive more than 6 months and DNA-HBV more than 105 copies/ml, ALT over 2 times higher compared with normal value; or 2) being HBeAg-negative chronic hepatitis B with HbsAg-positive more than 6 months and DNA-HBV more than 104 copies/ml, ALT over 2 times higher compared with normal value. Patients were excluded from this study if they declined to participate, had decompensated cirrhosis with complications of portal hypertension such as ascites, esophageal varices, hepatic encephalopathy, hepatic-renal syndrome; had liver tumors and had BMI ≥ 25 or was pregnant. In addition, the research team ruled out 7 patients who did not complete 20 examinations and 4 patients who did not cooperate during the interview process. Finally, we had 55 patient medical records that met the requirement for data analysis.
Measures
Dependent variable was the aspartate aminotransferase (AST)/platelet ratio index (APRI). The formula for calculation of APRI is
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APRI = {(AST/ULN)/Platelet count} × 100 (ULN = upper limit of normal; 34 U/L for females, 36 U/L for males).
Independent variables
We collected demographic variables including age, gender (male and female), education attainment (primary, secondary, high, college, and university), occupation (worker, farmer, office, business, and others), marital status (single, married, divorce);
Disease related and behaviour variables consist of average working time (per hour), time from Hepatitis B detection (years), alcohol consumption (According to Alcohol Use Disorders Identification Test: score 0–7: low risk, 8–15: risky, 16–19: harmful, 20 or more: high-risk), green tea consumption (every day, a few days per week, a few days per month, not drink tea), treatment adherence (continuous use, do not forget any doses during research period) and treatment time.
Data analysis
Data collection was performed by medical staff at Phu Tho General Hospital.
Patients’ information and test results were collected and recorded in medical records when they revisited the Hospital for a health check following an appointment with a physician during 20 months, from Jan 2017 to August 2018. After this period, the medical staff at Phu Tho General Hospital collected related information from the medical records. Besides, the staff also interviewed the patients via telephone to collect some additional information.
Data were entered into the computer using EPI DATA 3.1, and transferred to Stata 14 and R software 3.5.3 for further analysis. Descriptive statistics (number, proportion, mean, standard deviation) were used to describe characteristic of participants and the variation of APRI index.
As this study obtained multiple measurements over time of APRI index per participant (repeated measurement), mixed model analysis was applied to investigate sources of random variability in APRI index. The data of APRI was not normally distributed and tended to reach a gamma distribution, hence we used gamma mixed-effect models to evaluate the difference of APRI among patients, examinations and identify factors that influenced the APRI index. Bayesian Model Averaging was used to select variables into model.
Research ethics
This study was scientifically and ethically reviewed and approved by the Scientific Panel of the Phu Tho General Hospital at Decision Number 2019/QĐ-BV on December 11, 2018.
RESULTS
Characteristics of the participants
Table 1.
General characteristics of the study group
| Characteristics | n | % | |
| Age (median, iqr) | 50 (23) | ||
| Gender | |||
| Male | 40 | 72.7 | |
| Female | 15 | 27.3 | |
| Education | |||
| Secondary school | 8 | 14.6 | |
| High school | 17 | 30.9 | |
| University/College | 29 | 52.7 | |
| Postgraduate | 1 | 1.8 | |
| Job | |||
| Working | 27 | 49.1 | |
| Retired/Non-Working | 28 | 50.9 | |
| APRI (median, iqr) | 0.42 (0.23) | ||
| Hepatitis B detection years (median, iqr) | 7 (4) | ||
| Using tea | |||
| No | 26 | 47.3 | |
| Yes | 29 | 52.7 | |
| Alcohol consumption (AUDIT) (median, iqr) | 12 (4) | ||
| Forget taking medicine during treatment period | |||
| No | 43 | 78.2 | |
| Yes | 12 | 21.8 | |
| Number of time forgetting taking medicine | |||
| 0 time | 43 | 78.2 | |
| 1 time | 5 | 9.1 | |
| 2 times | 4 | 7.3 | |
| 3 times | 2 | 3.6 | |
| >3 times | 1 | 1.8 |
AUDIT: Alcohol Use Disorders Identification Test
IQR: interquartile range
Median age of patients was 50 ± 23 years. Male participants accounted for 73%, while the figure for female was 27%. The percentages of participants having finished high school and university/college were 30.9% and 52.7%, respectively. Patients who were still at work made up 49.1%. More than half of the patients (52.7%) were tea consumers. The number of patients having forgotten to take medicine while receiving treatment occupied 21.8% of. For Alcohol consumption, the median AUDIT Score was 12, and IQR=4.
The box plot in Figure 1 shows that the APRI of the study subjects fluctuated over the 20 times of examination.
Fig. 1.
The variation of average APRI Index of 55 patients over 20 times of examination
This Figure 2 illustrates the changing of APRI Index by each participant over 20 times of examination.
Fig. 2.
The variation of APRI Index by 55 par
Table 2.
Factors associated with fibrosis over time, as measured by the APRI score (Mixed-effect model)
| Regression coefficients | Coefficient | 95% CI | p-value |
| Fixed effect | |||
| Examination | –0.005 | –0.009, –0.001 | <0.001 |
| Age | 0.013 | 0.005, 0.0219 | <0.001 |
| Gender | |||
| Female | ref | ref | ref |
| Male | 0.011 | –0.148, 0.364 | 0.408 |
| Education level | |||
| Secondary school | ref | ref | ref |
| High school | –0.180 | –0.509, 0.148 | 0.281 |
| University/College | 0.066 | –0.206, 0.338 | 0.635 |
| Postgraduate | –0.201 | –0.982, 0.581 | 0.615 |
| Job | |||
| Working | ref | ref | ref |
| Non-working | –0.054 | –0.108, 0.001 | 0.05 |
| Time for disease detection (years) | –0.012 | –0.030, 0.007 | 0.218 |
| Drinking tea | |||
| No | ref | ref | ref |
| Yes | –0.085 | –0.350, 0.181 | 0.533 |
| Forget to take medicine | |||
| No | ref | ref | ref |
| Yes | –0.002 | –0.246, 0.242 | 0.988 |
| Audit score | 0.011 | –0.032, 0.054 | 0.614 |
| Random effect | Variance | 95% CI | |
| APRI patients variance | 0.0001 | 0.000, 0.002 | |
| Baseline APRI of patients variance | 0.1965 | 0.130, 0.297 |
APRI: aspartate aminotransferase (AST)/platelet ratio index
ref: reference group
CI: confidence interval
In the fixed-impact estimation, APRI differences between examinations, age of participants and working status were statistically significant. The average APRI of the population decreased by –0.005 (95% CI=–0.009; –0.001) after each patient’s visit, and increased by 0.013 if the patient’s age increased by 1 year (95% CI=0.005; 0.0219). For non-working patients, the APRI score was lower, with the coefficient of –0.054 (95% CI=–0.108; 0.001).
DISCUSSION
Liver fibrosis progression
We longitudinally assessed changes in APRI score of 55 HBC patients for 20 months. These patients were relatively old with median (IQR) of 50 (23), and the majority of participants were male. More than half of the subjects graduated from university or obtained higher degrees and were employed. It is notable that approximately 90% of participants had AUDIT score from 10 to 16, which indicates that the subjects had only moderate risk of harm. The percentage of people who were not in compliance with the treatment, i.e. forgeting to tkae drugs at least once during the treatment process, was only 20%, and about 5% of which reported that they forgot taking the medicine 3 times or more.
Each subject was re-examined once a month, which helped to see the changes in the indicators for determining fibrosis. The change of these indicators in the study subjects showed a downward trend over time. In our study, the median APRI index measured by patients was 0.42, IQR=0.23, which is similar to the previous study.8,9
Our results showed a statistically significant difference in APRI scores between visits, and the median of APRI decreased slightly after each visit. This suggests that treatment, follow-up, and patient re-examination can be effective in treatment. This might be attributable to the fact that Phu Tho General Hospital is one of the leading medical facilities in Vietnam, and thus, patients are provided with adequate treatment conditions to achieve the high treatment quality. In addition, the study subjects’ disease progression was monitored monthly during 20 months, along with close monitoring and consultation from doctors. These efforts can result in participants’ good health behaviors, such as following healthy diet, limiting alcohol consumption, giving up smoking, and strictly adhering to the treatment. These factors have also been shown to have influence on the treatment outcome of liver fibrosis in several studies.10-13
Factors associated with liver fibrosis progression
In our mixed-effect model, we identified two independent variables associated with the APRI index, which are age and working status. Firstly, the APRI was higher along with the increase in participants’ age. Age is a significant factor that affects the histological activity and stage of liver disease. This finding was consitent with studies in China, Iran and the USA.14-16 Aging has been demonstrated to increase vulnerability to acute liver injury and susceptibility to the fibrotic response.14
In terms of working status, those who retired or were not working had lower APRI scores. This result might be derived from the pressure at work. A study revealed that stress played an important role in the progression and outcome of some serious liver diseases. Psychosocial stress has complicated associations with inflammation and the progression of liver fibrosis during the course of hepatitis,17 for instance, exaggerate inflammatory and fibrosing change in the cirrhotic liver.18,19
Notwithstanding the evidences that confirm the key role of adherence in the effectiveness of CHB treatment,12,20,21 in our study, forgetting taking medicine did not show an association with the APRI index. This can be explained by the relatively low proportion of people forgetting taking medicine, at 20%, and there were only a few times the patients forgetting taking medicine during treatment. This suggested that health workers in the study location might have done a good job in controlling medication non-adherence.
Highly educated subjects generally had a lower APRI, however, the difference is not statistically significant in our study.
Some studies suggest that alcohol consumption is a risk factor that may accelerate the course of liver fibrosis progression.13 In this study, we also conducted a survey of AUDIT index to assess the level of alcohol abuse by study subjects. However, there was no difference between AUDIT scores and APRI indicators. This finding is attributable to the fact that all participants had a history of drinking alcohol, and the AUDIT score in our study ranged from 10 to 21. It can thus be concluded that alcohol consumption and a possible moderate alcohol use disorder increased the risk of health problems among participants.
A study from China showed that Green tea intake may reduce the risk of liver disease22; however, in our study, no significant difference of APRI between people drinking tea and those did not was found.
Limitations of the study
Our research has some limitations to be acknowledged. Firstly, the number of patients who visited the hospital and had at least 20 follow-up visits during the study period was modest, therefore it may not be representative. Moreover, since the information collected via telephone was self-reported and subjective, recalling errors might occur.
CONCLUSIONS
The majority of participants in this study had average APRI, and their disease situation were relatively well controlled during the study. Age and working status are factors associated with the APRI index.
AUTHOR CONTRIBUTIONS
Luu Ngoc Minh and Nguyen Thi Kim Thuy equally contributed to this work.
DATA AVAILABILITY
The data used to support the findings of this study are available from the corresponding author upon request.
CONFLICTS OF INTEREST
The authors declare that there is no conflict of interest regarding the publication of this paper.
FUNDING STATEMENT
This is self-funded study. The research did not receive any specific funding, but was performed as part of the job of the authors, under the employment of Phu Tho General Hospital and Hanoi Medical University.
ACKNOWLEDGEMENT
We acknowledge the support from Phu Tho General hospital. We appreciate the work of the research team to help with data collection. We thank the participants for providing responses to the questionnaire survey.
Abbreviations
- APRI
aspartate aminotransferase/platelet ratio index
- HBV
hepatitis B virus
REFERENCES
- 1.Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2095–2128. doi: 10.1016/s0140-6736(12)61728-0. [DOI] [PMC free article] [PubMed]
- 2.Sun YT, Zhang YX, Tang H, et al. Clinical characteristics and current management of hepatitis B and C in China. World J Gastroenterol. 2014;20(37):13582–13590. doi: 10.3748/wjg.v20.i37.13582. [DOI] [PMC free article] [PubMed]
- 3.Ozyalvacli G, Kucukbayrak A, Kurt M, et al. Non-invasive fibrosis tests are correlated with necroinflammatory actvity of liver in patients with chronic hepatitis B. Clin Ter. 2014;165(3):e199–e204. doi: 10.7417/ct.2014.1719. [DOI] [PubMed]
- 4.Zhijian Y, Hui L, Weiming Y, et al. Role of the Aspartate Transaminase and Platelet Ratio Index in Assessing Hepatic Fibrosis and Liver Inflammation in Adolescent Patients with HBeAg-Positive Chronic Hepatitis B. Gastroenterol Res Pract. 2015;2015:906026. doi: 10.1155/2015/906026. [DOI] [PMC free article] [PubMed]
- 5.Hipgrave DB, Nguyen TV, Vu MH, et al. Hepatitis B infection in rural Vietnam and the implications for a national program of infant immunization. Am J Trop Med Hyg. 2003;69(3):288–294. [PubMed]
- 6.Nguyen VT, McLaws ML, Dore GJ. Highly endemic hepatitis B infection in rural Vietnam. J Gastroenterol Hepatol. 2007;22(12):2093–2100. doi: 10.1111/j.1440-1746.2007.05010.x. [DOI] [PubMed]
- 7.Duong TH, Nguyen PH, Henley K, Peters M. Risk factors for hepatitis B infection in rural Vietnam. Asian Pac J Cancer Prev. 2009;10(1):97–102. [PMC free article] [PubMed]
- 8.Hann HW, Wan S, Lai Y, et al. Aspartate aminotransferase to platelet ratio index as a prospective predictor of hepatocellular carcinoma risk in patients with chronic hepatitis B virus infection. J Gastroenterol Hepatol. 2015;30(1):131–138. doi: 10.1111/jgh.12664. [DOI] [PMC free article] [PubMed]
- 9.McGoogan KE, Smith PB, Choi SS, Berman W, Jhaveri R. Performance of the AST-to-platelet ratio index as a noninvasive marker of fibrosis in pediatric patients with chronic viral hepatitis. J Pediatr Gastroenterol Nutr. 2010;50(3):344–346. doi: 10.1097/MPG.0b013e3181aed725. [DOI] [PMC free article] [PubMed]
- 10.Ou H, Fu Y, Liao W, Zheng C, Wu X. Association between Smoking and Liver Fibrosis among Patients with Nonalcoholic Fatty Liver Disease. Can J Gastroenterol Hepatol. 2019;2019:6028952. doi: 10.1155/2019/6028952. [DOI] [PMC free article] [PubMed]
- 11.Soleimani D, Ranjbar G, Rezvani R, Goshayeshi L, Razmpour F, Nematy M. Dietary patterns in relation to hepatic fibrosis among patients with nonalcoholic fatty liver disease. Diabetes Metab Syndr Obes. 2019;12:315–324. doi: 10.2147/dmso.s198744. [DOI] [PMC free article] [PubMed]
- 12.Marcellin P, Chang TT, Lim SG, et al. Long-term efficacy and safety of adefovir dipivoxil for the treatment of hepatitis B e antigen-positive chronic hepatitis B. Hepatology. 2008;48(3):750–758. doi: 10.1002/hep.22414. [DOI] [PubMed]
- 13.Sun Y, Wu X, Zhou J, et al. Persistent Low Level of Hepatitis B Virus Promotes Fibrosis Progression During Therapy. Clin Gastroenterol Hepatol. 2020;18(11):2582–2591.e6. doi: 10.1016/j.cgh.2020.03.001. [DOI] [PubMed]
- 14.Kim IH, Kisseleva T, Brenner DA. Aging and liver disease. Curr Opin Gastroenterol. 2015;31(3):184–191. doi: 10.1097/mog.0000000000000176. [DOI] [PMC free article] [PubMed]
- 15.Alavian SM, Imanieh MH, Imanieh MH. Predictive Factors in the Incidence of Cirrhosis in Chronic Hepatitis B Virus Infections. Hepat Mon. 2016;16(5):e34790. doi: 10.5812/hepatmon.34790. [DOI] [PMC free article] [PubMed]
- 16.Wong GL, Chan HL, Yu Z, Chan HY, Tse CH, Wong VW. Liver fibrosis progression in chronic hepatitis B patients positive for hepatitis B e antigen: a prospective cohort study with paired transient elastography examination. J Gastroenterol Hepatol. 2013;28(11):1762–1769. doi: 10.1111/jgh.12312. [DOI] [PubMed]
- 17.Fukudo S, Suzuki J, Tanaka Y, Iwahashi S, Nomura T. Impact of stress on alcoholic liver injury; a histopathological study. J Psychosom Res. 1989;33(4):515–521. doi: 10.1016/0022-3999(89)90013-5. [DOI] [PubMed]
- 18.Swain MG. I. Stress and hepatic inflammation. Am J Physiol Gastrointest Liver Physiol. 2000;279(6):G1135–G1138. doi: 10.1152/ajpgi.2000.279.6.G1135. [DOI] [PubMed]
- 19.Chida Y, Sudo N, Kubo C. Does stress exacerbate liver diseases? J Gastroenterol Hepatol. 2006;21(1 Pt 2):202–208. doi: 10.1111/j.1440-1746.2006.04110.x. [DOI] [PubMed]
- 20.Ford N, Scourse R, Lemoine M, et al. Adherence to Nucleos(t)ide Analogue Therapies for Chronic Hepatitis B Infection: A Systematic Review and Meta-Analysis. Hepatol Commun. 2018;2(10):1160–1167. doi: 10.1002/hep4.1247. [DOI] [PMC free article] [PubMed]
- 21.Scaglione SJ, Lok AS. Effectiveness of hepatitis B treatment in clinical practice. Gastroenterology. 2012;142(6):1360–1368 e1. doi: 10.1053/j.gastro.2012.01.044. [DOI] [PubMed]
- 22.Yin X, Yang J, Li T, et al. The effect of green tea intake on risk of liver disease: a meta analysis. Int J Clin Exp Med. 2015;8(6):8339–8346. [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.



