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Regression in hepatic fibrosis in elderly Chinese patients with hepatitis C receiving direct-acting antiviral treatment

Abstract

Background

Patients infected with Hepatitis C virus (HCV) are recommended to receive treatment with direct-acting antiviral agents (DAAs), which have been certified to obtain a high sustained virological response (SVR). However, little is known about the benefits of successful anti-viral treatment to elderly patients with hepatic fibrosis. In this study, we aimed to assess degree of fibrosis in elderly patients with chronic hepatitis C (CHC) treated with DAAs, and to evaluate the correlations between identified factors associated with these changes.

Methods

This study retrospectively enrolled elderly patients with CHC who received DAAs in Tianjin Second People’s Hospital from April 2018 to April 2021. The degree of liver fibrosis was assessed using serum biomarkers and transient elastography (TE) expressed as the liver stiffness (LSM), while the hepatic steatosis was evaluated by controlled attenuated parameter (CAP). Changes in factors related to hepatic fibrosis were examined following treatment with DAAs, and associated prognostic factors were further evaluated.

Results

We included 347 CHC patients in our analysis, where 127 of these were elderly patients. For the elderly group, the median LSM was 11.6 (7.9–19.9) kPa, and this value was significantly reduced to 9.7 (6.2–16.6) kPa following DAA treatment. Similarly, GPR, FIB-4 and APRI indices were significantly reduced from 0.445 (0.275–1.022), 3.072 (2.047–5.129) and 0.833 (0.430–1.540) to 0.231 (0.155–0.412), 2.100 (1.540–3.034) and 0.336 (0.235–0.528), respectively. While in younger patients, the median LSM reduced from 8.8 (6.1–16.8) kPa to 7.2 (5.3–12.4) kPa, and the trends of GPR, FIB-4 and APRI were also consistent. The CAP in younger patients increased with statistical significance, but we did not observe any significant change in CAP for the elderly group. Based on multivariate analysis, age, LSM, and CAP before baseline were identified as determinants for LSM improvement in the elderly.

Conclusion

In this study, we found that elderly CHC patients treated with DAA had significantly lower LSM, GPR, FIB-4, and APRI values. DAA treatment did not significantly change CAP. Furthermore, we observed correlations between three noninvasive serological evaluation markers and LSM. Finally, age, LSM, and CAP were identified as independent predictors of fibrosis regression in elderly patients with CHC.

Peer Review reports

Background

Chronic hepatitis C (CHC) is a prevalent disease resulting from infection with hepatitis C virus (HCV), a hepatotropic RNA that can cause fibrosis, liver cirrhosis, and even hepatocellular carcinoma [1]. Approximately 71 million people across the world are infected with HCV, where the global prevalence of CHC is estimated to be 1.0%, and the reported incidences in China were 0.43% [2, 3]. Currently, the rate of increase in CHC is a relatively higher among elderly people, who typically have a longer course of disease, suffer from a higher amount of comorbidities and are more prone to adverse reactions. These factors significantly impact economic costs, morbidity and mortality on a global scale [4, 5].

Prior to 2011, the standard treatment for CHC was pegylated interferon (PEG-IFN) therapy [6]. However, PEG-IFN based therapy consistently leads to treatment intolerance, especially among elderly patients. Ever since the Food and Drug Administration (FDA) approved the first direct-acting antiviral agents (DAAs), new regiments involving DAAs have revolutionized the treatment of CHC. In fact, various forms of DAAs therapy have been recommended for all patients with chronic HCV infection [7,8,9,10]. DAAs were introduced in 2017 in most parts of mainland China, but the application has been limited due to the economic ability of patients in different regions, the relevant research data is lacking as well. However, thanks to the capitated payment policy in Tianjin, each HCV patient with Tianjin medical insurance can receive medical reimbursement for the total treatment cost. Not only is this financially convenient for patients, but it also provides good conditions for carrying out HCV-related research.

Currently, the degree of liver fibrosis is considered useful for predicting the development of liver fibrosis,cirrhosis, hepatocarcinoma even death in CHC patients following treatment, where its extent serves as an indicator of disease progression [11,12,13].

Although liver biopsy remains the gold standard for the evaluation and management of patients with fibrosis, its clinical application is largely limited in due to its invasiveness, inter-observer variability at pathologic evaluation, inadequate sampling size and sampling variations [14, 15].Instead, many non-invasive fibrosis indices have been applied to fibrosis assessment, these methods generally involve a physical approach based on the liver stiffness measurement (LSM) or a biological approach based on serum biomarkers [16, 17]. Of these techniques, transient elastography (TE) has gradually become the mainstay for non-invasive liver fibrosis evaluation, TE can be performed with excellent diagnostic accuracy and independent of the underlying liver disease for cirrhosis diagnosis [18]. Non-invasive scoring systems based on laboratory blood tests include the γ-GT-to-PLT ratio (GPR), AST-to-platelet ratio index (APRI) and fibrosis-4 (FIB-4) score. FIB-4 and APRI have demonstrated reliability in predicting cirrhosis during mass HCV treatment [19]. Although GPR scoring is a relatively new noninvasive evaluation method, this system has proven to be no less accurate than FIB-4 or APRI in staging liver fibrosis among patients with chronic hepatitis B [20].

However, the impact of DAAs on the elderly population has not garnered much attention. Existing research on DAAs rarely uses the elderly population as the main research object, rendering knowledge on DAA treatment among the elderly very limited.

Currently the available DAA regimens are well-tolerated and achieve high rates of sustained virological response (SVR) among elderly Chinese adults [21]. The purpose of this study was to evaluate liver fibrosis improvement resulting from DAA treatment in elderly patients with chronic HCV infection using various non-invasive measurements, and to further investigate the factors associated with these changes.

Methods

Study population and design

This retrospective cohort study enrolled all consecutive patients with chronic HCV infection treated with IFN-free DAA regimens at Tianjin Second People’s Hospital from April 2018 to April 2021. Treatment drugs and treatment course were determined according to the patient's genotype and hepatic function, with reference to the Guidelines for the prevention and treatment of hepatitis C (updated 2015 version and 2019 version) [5, 22].

The inclusion criteria used in this study were as follows: (1) age 18 years and above; (2) demonstrated presence of serum anti-HCV antibody for more than six months and detectable HCV RNA; (3) 12 weeks after completed the DAA treatment; (4) had measurement for GPR, FIB-4 and APRI, and underwent TE before and after treatment; and (5) Were treatment naïve or experienced.

The exclusion criteria were as follows: (1) showed presence of liver disease caused by other etiologies (, e.g., alcoholic liver disease, autoimmune hepatitis, drug-induced liver disease, Wilson disease, hemochromatosis, or a primary related diseases such as biliary cholangitis or primary sclerosing cholangitis); (2) concurrently used immunomodulatory agents, steroid hormones, or chemotherapy drugs; (3) previous drinking history or drinking alcohol during treatment; (4) used intravenous drugs during treatment; (5) were treated with a combination regimen including PEG-IFN; (6) were pregnancy and lactating.

Demographic and biochemical data, complete blood count analysis results, and assessments of LSM and controlled attenuated parameter (CAP) were collected before baseline and 12 weeks following the end of the DAAs treatment (EOT).

This study was conducted in accordance with the 1975 Declaration of Helsinki and approved by the Research Ethics Committee of Tianjin Second People’s Hospital (Jin Er Ren Min Lun Shen Zi [2021] No. 17).

Patients grouping

Sixty year-old was chosen as the definition to differentiate the elderly patients and younger patients based on the World Health Organization’s reports, and the Elderly Rights Guarantees Law in China [23, 24]. Elderly patients were further divided into 2 subgroups according to whether they were 70 years or older.

Liver cirrhosis diagnosis was based on previous abdominal color Doppler ultrasound (Philips IU22-22,100, USA) or liver biopsy.

Sustained virological response measurement (SVR)

SVR was defined as an HCV RNA level below the limit of quantitation or undetected 12 weeks after the end of antiviral therapy. HCV RNA was measured using the COBAS AmpliPrep/COBAS TaqMan48 (lower limit of detection, 15 IU/ml) (Roche, Switzerland).

Patients’ data collection and laboratory tests

We collected demographic characteristics and clinical data from the included study subjects, such as age, gender, DAAs regiment, history of prior treatment and concomitant comorbidities.

Venous blood was taken from fasted patients to test its laboratory indicators: Alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB), gamma-glutamyl transferase (γ-GT) and total bilirubin (TBIL) were detected using the Japanese HITACH1 automatic biochemical analyzer-7180 (reagent from HeGuang Kabuskiki Kaisha, Japan); White blood cell (WBC) and, platelet (PLT) counts were measured using the Japanese automatic blood cell analyzer SysmexXN-2000 (reagents purchased from Sysmex Europe GmbH, Germany). The above clinical examination operations were carried out by professional technicians according to the operating instructions.

Liver fibrosis indices

This study used GPR, FIB-4, APRI and TE to assess the degree of liver fibrosis. The liver fibrosis indices were calculated as follows:

  • GPR = (γ-GT [IU/L]/upper limit of normal γ-GT [IU/L]) *100/platelet count (109/L) [20].

  • FIB-4 = AST (IU/L) * age (years)/platelet count (109/L) * ALT (IU/L) [25].

  • APRI = (AST [IU/L]/upper limit of normal AST [IU/L]) *100/platelet count (109/L) [26].

Liver stiffness was evaluated through one-dimensional ultrasound TE (FibroScan-502, Echosens, French), LSM is expressed in kilopascals (kPa), and CAP is expressed in decibels per meter (dB/m).

TE was performed on the patient lying supine with their right arm elevated and breath held, in order to facilitate access to the right liver lobe away while avoiding large vessels. Participants in this study were considered to have completed a valid TE if the following criteria were fulfilled: 1) number of valid shots of at least 10; 2) success rate (ratio of valid shots to total shots) above 60%; and 3) interquartile range (IQR, reflecting the variability of measurements) less than 30% of the median LSM value (IQR/M ≤ 0.30%) [17].

Statistical analysis

Count data is expressed as frequency or ratio (%). Categorical variables were assessed using the Chi-square or Fisher’s exact test. Measurement data were tested for normality prior to statistical testing. Normal variables were expressed as‾X ± SD, while skewed variables are expressed as median (25th percentile-75th percentile). The t-test, Mann–Whitney U test or Wilcoxon signed-rank test was used to analyze differences between groups. Factors associated with changes in fibrosis were accessed using univariate and logistic regression analysis. All statistical analyses were performed using SPSS 22.0 and GraphPad Prism 6 statistical software. P < 0.05 was considered statistically significant.

Results

Patient enrollment

A total of 1036 patients with chronic HCV infection met the initial screening criteria for this study. We excluded patients who were younger than 18 (n = 1), had inadequate baseline date (n = 513), were untreated (n = 12), or were, lost to follow-up (n = 163). Finally, a total of 347 patients receiving DAA treatment for CHC were included, of which 127 patients were defined as elderly individuals. Figure 1 depicts the the flowchart of patient enrollment for this study.

Fig. 1
figure 1

Flowchart of patient enrollment

Patients’ characteristics

Of the 347 enrolled patients, 220 were considered younger and 127 were elderly. We did not observe any differences between the two groups in terms of demographic characteristics, such as gender or initial treatment. Additionally, DAA regimen, and HCV RNA load at each age did not significantly differ between the groups. However, genotype 3 and 6 was more common in younger patients compared to elderly patients. The SVR for younger patients was seemingly better than that of the elderly, but this difference was not significant. We observed significantly lower ALB, WBC, and PLT levels in the elderly group. Elderly patients were also more prone to comorbidities, such as hypertension and diabetes. The elderly group had significantly higher LSM, FIB-4 and APRI compared to younger patients, while the two groups did not significantly differ in terms of CAP or GPR. Table 1 compares patients characteristics between the two groups.

Table 1 Demographic and clinical characteristics of the patients

We further divided the elderly patients into following two subgroups: (I) the 60–69 age group; and (II) the ≥ 70 age group. Table 2 shows that the majority of demographic characteristics and laboratory parameters for these two subgroups did not significantly differ. In patients aged ≥ 70, LSM, CAP, GPR and FIB-4 were higher for patients aged 60 to 69, whereas APRI was lower for this group-however, none of these differences were significant.

Table 2 Demographic and clinical characteristics of the elderly patients (age ≥ 60 years)

Fibrosis measurements

Table 3 summarizes the liver fibrosis measurements for the patients before and after DAA treatment. As previously mentioned, the LSM, FIB-4, and APRI values before DAA treatment were significantly higher in the elderly groups compared to the younger groups, while the CAP and GPR values did not significantly differ. The initial liver fibrosis measurements did not significantly differ between the two elderly subgroups, FIB-4 and APRI remained significantly higher in the elderly group following DAA treatment.

Table 3 Changes in noninvasive measurements of liver fibrosis in the patients

The absolute changes in liver fibrosis indices are also shown in Table 3. All indices besides CAP decreased after DAA treatment. Changes for FIB-4 and APRI were more dramatic in the elderly group of patients.

Figure 2 demonstrates that the LSM, GPR, FIB-4, and APRI values decreased following treatment in all groups. CAP followed the opposite trend.

Fig. 2
figure 2

Changes in (A) LSM, (B) CAP, (C) GPR, (D) FIB-4, and (E) APRI following DAA treatment. ****P ≤ 0.0001; ***P ≤ 0.001; **P ≤ 0.01; *P ≤ 0.05; nsP ≥ 0.05

For the entire group of patients, the baseline median LSM value decreased after treatment with DAAs (P < 0.001). We observed a significant decrease in LSM for elderly patients (P < 0.001). However, in patients over 70 years old, LSM did not significantly change after treatment (P = 0.084).

For all patients, CAP increased notably from a relative low baseline median value. In the younger group, the median value at baseline was 225 (193–255) dB/m, which increased remarkedly following treatment (P < 0.001). In the elderly group, CAP did not significantly differ before versus after treatment (P = 0.56).

Among all patients, GPR, FIB-4, and APRI illustrated reduction following DAA treatment with statistically significant, respectively. We also observed significant decreases in these values for the entire elderly group and subgroup of patients over the age of 70.

Correlation between liver fibrosis indices and LSM

Figure 3 and Table 4 illustrated the relationships between the different liver fibrosis indices and LSM. GPR, FIB-4, and APRI were found to have individual correlations with LSM in the older group, both before and after treatment with DAAs.

Fig. 3
figure 3

Correlations between (A) GPR and LSM before DAA treatment, (B) GPR and LSM after DAA treatment, (C) FIB-4 and LSM before DAA treatment, (D) FIB-4 and LSM after DAA treatment, (E) APRI and LSM before DAA treatment, and (F) APRI and LSM after DAA treatment

Table 4 Correlations between the methods to check the fibrosis

We observed a significant correlation between GPR and LSM both before and after DAA treatment (P < 0.001). FIB-4 and LSM were also significantly correlated both before and after treatment (P < 0.001). Finally, APRI and LSM were significantly correlated both before and after treatment (P < 0.001).

Associated factors with LSM

Table 5 summarizes the factors associated with fibrosis regression via univariate analysis. For the elderly group, LSM and CAP were significantly associated with successful fibrosis regression by univariate analysis. Variables that were considered clinically relevant or demonstrated a univariate relationship with LSM improvement were entered into the multivariate regression model. Given the number of events available, several variables were carefully chosen, including age, LSM, CAP, GPR, FIB-4, APRI, and diabetes.

Table 5 Factors associated with univariate regression of liver stiffness after the end of treatment in elderly patients

As evident from our multivariate logistic regression analysis show in Table 6, a higher LSM value and lower CAP value remained significant after controlling for the other listed covariates. Additionally, age was found to be independently associated with LSM improvement.

Table 6 Factors associated with multivariate regression of liver stiffness after the end of treatment in elderly patients

Discussion

In this study, we found that LSM, GPR, FIB-4, and APRI in CHC patients decreased after DAAs treatment whether the patient is elderly or not, which indicates regression of fibrosis. Besides, the CAP did not change significantly in the elderly group. Among the elderly, the correlations between three noninvasive serological evaluation markers and LSM were positive and significant. Meanwhile, this study also showed that age, LSM and CAP were independent predictors of fibrosis regression based on multivariate analysis.

To the best of our knowledge, this was the first study to explore the effect of DAA treatment on liver fibrosis in elderly Chinese patients with CHC. The main reasons for using DAAs to treat CHC include preventing the development of liver fibrosis and improving existing liver fibrosis status [5]. According to current knowledge, the regression of fibrosis is mainly achieved through the elimination of HCV. [27] Treatment with either IFN or DAAs has the capacity to achieve SVR, and many articles have proven that IFN-based treatment can significantly improve the degree of fibrosis [28,29,30]. Nevertheless, IFN-based therapy has been largely replaced by DAA treatment, which has caused the treatment of CHC to enter a pan-genotypic era. Our experience with and knowledge of DAA treatment is still rapidly evolving.

Since DAAs were first approved by FDA, multiple studies have demonstrated their role in improving the degree of liver fibrosis. Bachhofner et al. observed a significant reduction in liver stiffness after DAA-based treatment, which corresponded to a TE regression of more than 30% [31]. Similarly, Knop V et al. found that DAA treatment caused 88% of their patients to experience a reduction in liver stiffness [32]. Notably, most of the relevant studies were carried out in European and American countries. There is a lack of relevant data in China, and especially in the mainland region. However, some clinical trials conducted in China have confirmed the improvement in liver fibrosis resulting from DAAs. In their cohort of 102 patients with CHC, Kang Q et al. observed a decrease in median LSM from a baseline value of 10.45 kPa to 7.60 kPa following DAA treatment; significant decreases were also observed for FIB-4 and APRI scores [33]. In their study, Huang R et al. enrolled 40 patients treated with DAAs, finding that LSM, FIB-4, and APRI achieved statistically significant improvements by liver biopsy [34].

Currently, it has been proven that the available DAAs regimens are well-tolerated and could achieve high rates of sustained virological response (SVR) in Chinese elderly adults [21]. However, none of these studies paid special attention to elderly patients – in fact, the oldest participant was only 67 years old. Since elderly patients often suffer from a variety of basic diseases or take a variety of drugs at the same time, this group does not typically partake in clinical trials. Therefore, the current body of research may not be applicable to this specific sub-population. Our study aimed to fill the lack of data in this area.

Although liver biopsy is recommended prior to antiviral treatment, it may cause complications and is limited by relatively high costs, meaning it is not typically used in the routine management of CHC patients receiving DAAs. To replace biopsy, several noninvasive tests have been created, which are reproducible, and validated in several published studies [35, 36]. Accordingly, we applied TE to measure LSM, and GPR, FIB-4, and APRI scores to evaluate the degree of liver fibrosis.

Consistent with the results of the aforementioned reports, we found that the baseline level of LSM was higher in elderly patients compared to young patients, but no significant difference was observed between the subgroups of patients over 60 years old. Regardless of whether the patients were elderly, this study showed that DAA treatment improves LSM. However, although patients over 70 were found to achieve fibrosis regression, they did not demonstrate a statistically significant decrease in LSM. Among all patients, GPR, FIB-4, and APRI were significantly improved after DAA treatment. We also evaluated the correlations between serum biomarkers and LSM in elderly patients. GPR, FIB-4, and APRI were found to have correlations with TE measurement both before and after treatment, although these relationships were not particularly strong.

While the GPR, APRI, and FIB-4 values rapidly improved after DAA therapy from baseline to 12 weeks, these changes partly reflect improvement of necroinflammation rather than fibrosis regression completely because of the limitations of biochemical indicators. Similarly, TE measurement has been proven to be affected by necro-inflammatory activity to a certain extent, and especially during the onset of acute hepatitis [37]. However, the patients in this study had relatively stable liver disease, and most of their liver enzymes were less than three times the normal upper limit, meaning these factors can be considered to have little on LSM [38]. Furthermore, Lens S, et al. conducted a multicenter study, in which the hepatic venous pressure gradient (HVPG) of patients with HCV-associated cirrhosis significantly decreased after antiviral therapy [39]. Despite the lack of evidence of liver histology, this study reasonably speculated that DAAs did improve the degree of liver fibrosis and not simply inflammation and necrosis.

HCV infection can activate the sterol regulatory element-binding protein (SREBP) signaling pathway, resulting in a temporary increase in its expression level that further increases the adipogenesis of cholesterol and membrane lipids [40]. Theoretically, HCV eradication by DAA treatment is expected to regulate the expression of SREBP and reduce adipogenesis in the liver, which subsequently reduces CAP, an alternative marker of hepatic steatosis. Some previous studies have confirmed this conjecture [41, 42]. However, recent reports have also shown that successful HCV eradication by DAA therapy may cause an elevation in CAP [43, 44]. In this study, we assessed the degree of hepatic steatosis using CAP, finding that the CAP value was higher in elderly patients compared to young patients both before and after treatment. Additionally, the CAP value for patients over 70 years old was higher than that of younger elderly patients. This finding may be related to the relatively long course of disease in elderly patients, which leads to a more serious degree of steatosis. We also found that the CAP value in the younger population significantly increased following DAA treatment. The CAP value for elderly patients showed the same trend, but without statistical significance. There was no significant difference in CAP improvement between the two groups, which is consistent with the results of previous studies. We think this phenomenon could be explained, because elderly patients were always accompanied with sarcopenia and had worse nutritional status, but the specific mechanism between the two is still unclear. Therefore, hepatic steatosis improvement and changes in blood lipid levels after HCV clearance by DAAs should be more actively monitored [45]. Meanwhile, for the elderly, nutritional status assessment can be carried out during the treatment with DAAs, such as body composition analysis and skeletal muscle content determination and other relevant tests, to further clarify the potential causes of CAP changes in the elderly after DAAs treatment.

In this study, we also evaluated various factors associated with the regression of liver stiffness after the end of treatment in elderly patients. Among these factors, age, LSM at baseline, and CAP value were found to be independently associated with LSM improvement.

Almost all relevant studies have shown that LSM is an independent predictor for fibrosis regression in chronic HCV patients who achieve SVR after DAA treatment [41, 46, 47]. Similarly, our results indicate that the higher the baseline LSM, the better the improvement in fibrosis following DAA treatment. Considering that a higher baseline LSM value may reflect a higher degree of liver inflammation, improvements in liver enzyme indices for these patients should be more obvious, and the change in LSM should be more significant. In this study, we found that the CAP value was negatively and independently associated with fibrosis regression. Similarly, the work from Lackner C et al. also identified steatosis as a predictor for failed LSM improvement [48]. Soliman H et al. found that the steatosis degree, as measured by TE, was related to fibrosis regression in patients after receiving DAAs [49]. We determined that the hepatic steatosis of CHC patients may increase with DAA treatment, which may have a negative impact on hepatic fibrosis improvement and worsen long-term prognosis. At the same time, we emphasize that further research is needed to explore the mechanism that explains how degree of steatosis affecting fibrosis regression. Advanced age is also considered to be a predictor of poor prognosis. Therefore, on the premise of ensuring good health, it is important to begin antiviral treatment as early as possible. Recently, some studies have suggested that diabetes is a ‘bad trip companion’ of HCV, and that hyperglycemia is significantly associated with poorer stiffness regression [50, 51]. In the present work, we found that elderly patients were more likely to have diabetes than younger patients, so we included diabetes in our regression analysis. However, this term was not statistically significant.

In addition, factors such as low platelet counts, low or high ALT levels, high serum angiopoietin-2 levels, high FIB-4 score, and previous treatment history have also been identified as predictors associated with improved liver fibrosis [32, 47, 51,52,53]. However, these findings were not observed in this study. The impact of these predictors needs to be further evaluated in a larger population with a longer follow-up period.

This research has several limitations worth discussing. First, this study is retrospective in nature and has the potential for misinformation or missing data. To address these concerns, a more prospective study is necessary. Second, this study lacked histological evidence to examine the degree of liver fibrosis in CHC patients before and after DAA therapy. This primary reason for this was patient reluctance to undergo invasive procedures. Finally, the limited period of 12 weeks after treatment only allowed us to assess the temporary benefits of fibrosis after DAA therapy. Thus, future studies involving more patients and with longer follow-up periods are needed to better clarify the long-term benefits of DAAs in elderly patients.

In conclusion, LSM evaluated by TE, GPR, FIB-4, and APRI significantly decreased in elderly patients with CHC after HCV eradication. However, the degree of hepatic steatosis expressed by the CAP value did not significantly change as a result of treatment for the elderly group. Conversely, for younger patients, the CAP value significantly increased after DAA treatment. In addition, for elderly patients, we observed significant correlations between these three noninvasive serological evaluation markers and LSM, both before and after treatment. We found that age, LSM, and CAP at baseline were independent predictors of fibrosis regression in elderly CHC patients treated with DAAs. However, for elderly HCV patients at higher risk for liver fibrosis and HCC development, studies with more long-term follow-up periods are still necessary.

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Abbreviations

CHC:

Chronic hepatitis C

HCV:

Hepatitis C virus

PEG-IFN:

Pegylated interferon

FDA:

Food and drug administration

DAAs:

Direct antiviral agents

LSM:

Liver stiffness measurement

TE:

Transient elastography

GPR:

γ-Glutamyl transpeptidase to platelet ratio

APRI:

Aspartate aminotransferase to platelet ratio index

FIB-4:

Fibrosis-4

SVR:

Sustained virological response

EOT:

End of treatment

ALT:

Alanine aminotransferase

AST:

Aspartate aminotransferase

ALB:

Albumin

γ-GT:

Gamma-glutamyl transferase

TBil:

Total bilirubin

WBC:

White blood cells

PLT:

Platelet

IQR:

Interquartile range

HCC:

Hepatocellular carcinoma

SOF:

Sofosbuvir

RBV:

Ribavirin

DCV:

Daclatasvir

OBV/PTV/r/DSV:

Ombitasvir/Paritaprevir/Ritonavir/Dasabuvir

ASV:

Asunaprevir

DNVr:

Danoprevir/Ritonavir

LEV/SOF:

Ledipasvir/Sofosbuvir

EBR/GZR:

Elbasvir/Grazoprevir

SOF/VEL:

Sofosbuvir/Velpatasvir

HBV:

Hepatitis B virus

HIV:

Human immunodeficiency virus

GUCI:

Göteborg university cirrhosis index

INR:

Prothrombin time

PIIINP:

Procollagen III N-terminal propeptide

MMP1:

Matrix metalloproteinase-1

ARFI:

Acoustic radiation force impulse

MRE:

Magnetic resonance elastography

SREBP:

Sterol regulatory element-binding protein

References

  1. Manns MP, Buti M, Gane E, Pawlotsky JM, Razavi H, Terrault N, et al. Hepatitis C virus infection. Nat Rev Dis Primers. 2017;3:17006.

    Article  PubMed  Google Scholar 

  2. The Polaris Observatory HCV Collaborators. Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study. Lancet Gastroenterol Hepatol. 2017;2:161–76.

    Article  Google Scholar 

  3. Zhao Z, Chu M, Guo Y, Yang S, Abudurusuli G, Frutos R, et al. Feasibility of hepatitis c elimination in china: from epidemiology, natural history, and intervention perspectives. Front Microbiol. 2022;13:884598.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Gao Y, Yang J, Sun F, Zhan S, Fang Z, Liu X, et al. Prevalence of Anti-HCV antibody among the general population in mainland china between 1991 and 2015: a systematic review and meta-analysis. Open Forum Infect Dis. 2019;6:040.

    Article  Google Scholar 

  5. Lombardi A, Mondelli MU, Hepatitis ESGfV. Hepatitis C: Is eradication possible? Liver Int. 2019;39(3):416–26.

    Article  PubMed  Google Scholar 

  6. Webster DP, Klenerman P, Dusheiko GM. Hepatitis C. The Lancet. 2015;385(9973):1124–35.

    Article  Google Scholar 

  7. Panel AIHG. Hepatitis C guidance recommendations for testing, managing, and treating hepatitis c virus infection. Clin Infect Dis. 2018;67(10):1477–92.

    Article  Google Scholar 

  8. European Association for the Study of the Liver. Electronic address eee, Clinical Practice Guidelines Panel C, representative EGB, Panel m. EASL recommendations on treatment of hepatitis C: Final update of the series(). J Hepatol. 2020;73:1170–218.

    Article  Google Scholar 

  9. [Guidelines for the prevention and treatment of hepatitis C (2019 version)]. Zhonghua Gan Zang Bing Za Zhi. 2019;27:962–79.

  10. Omata M, Kanda T, Wei L, Yu ML, Chuang WL, Ibrahim A, et al. APASL consensus statements and recommendation on treatment of hepatitis C. Hepatol Int. 2016;10(5):702–26.

    Article  PubMed  Google Scholar 

  11. Lee SH, Shin HP, Lee JI. Real-world single-center experience with direct-acting antivirals for improvement of the liver fibrosis after chronic hepatitis C treatment. Antivir Chem Chemother. 2020;28:2040206620974835.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lee HW, Chon YE, Kim SU, Kim BK, Park JY, Kim DY, et al. Predicting liver-related events using transient elastography in chronic hepatitis c patients with sustained virological response. Gut and liver. 2016;10(3):429–36.

    Article  PubMed  Google Scholar 

  13. Ferenci P, Kozbial K, Mandorfer M, Hofer H. HCV targeting of patients with cirrhosis. J Hepatol. 2015;63(4):1015–22.

    Article  PubMed  Google Scholar 

  14. Rockey DC, Caldwell SH, Goodman ZD, Nelson RC, Smith AD. American association for the study of liver D. Liver biopsy Hepatol. 2009;49(3):1017–44.

    Google Scholar 

  15. Soloway RD, Baggenstoss AH, Schoenfield LJ, Summerskill WH. Observer error and sampling variability tested in evaluation of hepatitis and cirrhosis by liver biopsy. Am J Dig Dis. 1971;16(12):1082–6.

    Article  CAS  PubMed  Google Scholar 

  16. Wang HW, Peng CY, Lai HC, Su WP, Lin CH, Chuang PH, et al. New noninvasive index for predicting liver fibrosis in Asian patients with chronic viral hepatitis. Sci Rep. 2017;7(1):3259.

    Article  PubMed  PubMed Central  Google Scholar 

  17. European Association for Study of L, Asociacion Latinoamericana para el Estudio del H. EASL-ALEH Clinical Practice Guidelines: Non-invasive tests for evaluation of liver disease severity and prognosis. J Hepatol. 2015;63(1):237–64.

    Article  Google Scholar 

  18. Friedrich-Rust M, Ong MF, Martens S, Sarrazin C, Bojunga J, Zeuzem S, et al. Performance of transient elastography for the staging of liver fibrosis: a meta-analysis. Gastroenterology. 2008;134(4):960–74.

    Article  PubMed  Google Scholar 

  19. Said M, Soliman Z, Daebes H, ME-N S, El-Serafy M. Real life application of FIB-4 & APRI during mass treatment of HCV genotype 4 with directly acting anti-viral agents in Egyptian patients, an observational study. Expert Rev Gastroenterol Hepatol. 2019;13(12):1189–95.

    Article  CAS  PubMed  Google Scholar 

  20. Lemoine M, Shimakawa Y, Nayagam S, Khalil M, Suso P, Lloyd J, et al. The gamma-glutamyl transpeptidase to platelet ratio (GPR) predicts significant liver fibrosis and cirrhosis in patients with chronic HBV infection in West Africa. Gut. 2016;65(8):1369–76.

    Article  CAS  PubMed  Google Scholar 

  21. Xia H, Zhang Y, Zaongo SD, Liang J, Gong X, Hu Y, et al. Direct-acting antiviral treatments display excellent outcomes even in older HCV-infected patients at increased risk of fibrosis. Ann Transl Med. 2021;9(10):847.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Wei L. Hou JL [The guideline of prevention and treatment for hepatitis C: a 2015 update]. Zhonghua Gan Zang Bing Za Zhi. 2015;23:906–23.

    CAS  PubMed  Google Scholar 

  23. WHO. Ageing World Health Organization. 2020. [Available from: https://www.who.int/health-topics/ageing.

  24. China TNPsCotPsRo C. Elderly Rights Guarantees Law in the people's Republic of China. The National People's Congress of the People's Republic of China. 2018. [Available from: http://www.npc.gov.cn/npc/c30834/201901/47231a5b9cf94527a4a995bd5ae827f0.shtml.

  25. Sterling RK, Lissen E, Clumeck N, Sola R, Correa MC, Montaner J, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006;43(6):1317–25.

    Article  CAS  PubMed  Google Scholar 

  26. Wai CT, Greenson JK, Fontana RJ, Kalbfleisch JD, Marrero JA, Conjeevaram HS, et al. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003;38(2):518–26.

    Article  PubMed  Google Scholar 

  27. Rockey DC, Friedman SL. Fibrosis regression after eradication of hepatitis c virus: from bench to bedside. Gastroenterology. 2021;160(5):1502–20.

    Article  CAS  PubMed  Google Scholar 

  28. Maylin S, Martinot-Peignoux M, Moucari R, Boyer N, Ripault MP, Cazals-Hatem D, et al. Eradication of hepatitis C virus in patients successfully treated for chronic hepatitis C. Gastroenterology. 2008;135(3):821–9.

    Article  PubMed  Google Scholar 

  29. Poynard T, McHutchison J, Manns M, Trepo C, Lindsay K, Goodman Z, et al. Impact of pegylated interferon alfa-2b and ribavirin on liver fibrosis in patients with chronic hepatitis C. Gastroenterology. 2002;122(5):1303–13.

    Article  CAS  PubMed  Google Scholar 

  30. Metwally MA, Zein CO, Zein NN. Regression of hepatic fibrosis and cirrhosis in patients with chronic hepatitis C treated with interferon-based therapy. Gastroenterology. 2003;124(5):1561.

    Article  PubMed  Google Scholar 

  31. Bachofner JA, Valli PV, Kroger A, Bergamin I, Kunzler P, Baserga A, et al. Direct antiviral agent treatment of chronic hepatitis C results in rapid regression of transient elastography and fibrosis markers fibrosis-4 score and aspartate aminotransferase-platelet ratio index. Liver Int. 2017;37(3):369–76.

    Article  CAS  PubMed  Google Scholar 

  32. Knop V, Mauss S, Goeser T, Geier A, Zimmermann T, Herzer K, et al. Dynamics of liver stiffness by transient elastography in patients with chronic hepatitis C virus infection receiving direct-acting antiviral therapy-Results from the German Hepatitis C-Registry. J Viral Hepat. 2020;27(7):690–8.

    Article  CAS  PubMed  Google Scholar 

  33. Kang Q, Xu J, Luo H, Tan N, Chen H, Cheng R, et al. Direct antiviral agent treatment leads to rapid and significant fibrosis regression after HCV eradication. J Viral Hepat. 2021;28(9):1284–92.

    Article  CAS  PubMed  Google Scholar 

  34. Huang R, Rao H, Yang M, Gao Y, Wang J, Jin Q, et al. Noninvasive measurements predict liver fibrosis well in hepatitis C virus patients after direct-acting antiviral therapy. Dig Dis Sci. 2020;65(5):1491–500.

    Article  CAS  PubMed  Google Scholar 

  35. Leroy V, Hilleret MN, Sturm N, Trocme C, Renversez JC, Faure P, et al. Prospective comparison of six non-invasive scores for the diagnosis of liver fibrosis in chronic hepatitis C. J Hepatol. 2007;46(5):775–82.

    Article  PubMed  Google Scholar 

  36. Tahtasakal CA, Oncul A, Sevgi DY, Demirbas D, Gunduz A, Dokmetas I. Fibrosis scores that can be used in follow-up of after direct-acting antiviral treatment: APRI, FIB-4, King score and GUCI. Eur J Gastroenterol Hepatol. 2022;34(3):308–15.

    Article  CAS  PubMed  Google Scholar 

  37. Arena U, Vizzutti F, Abraldes JG, Corti G, Stasi C, Moscarella S, et al. Reliability of transient elastography for the diagnosis of advanced fibrosis in chronic hepatitis C. Gut. 2008;57(9):1288–93.

    Article  CAS  PubMed  Google Scholar 

  38. Perazzo H, Veloso VG, Grinsztejn B, Hyde C, Castro R. Factors That could impact on liver fibrosis staging by transient elastography. Int J Hepatol. 2015;2015:624596.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Lens S, Alvarado-Tapias E, Marino Z, Londono MC, LLop E, Martinez J, et al. Effects of all-oral anti-viral therapy on hvpg and systemic hemodynamics in patients with hepatitis c virus-associated cirrhosis. Gastroenterology. 2017;153(5):1273–83 (e1).

    Article  CAS  PubMed  Google Scholar 

  40. Cloherty APM, Olmstead AD, Ribeiro CMS, Jean F. Hijacking of lipid droplets by hepatitis C, Dengue and Zika viruses-from viral protein moonlighting to extracellular release. Int J Mol Sci. 2020;21(21):7901.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Sadeghi A, Amiri R, Akbarpour E, Mirminachi B, Sharifi AH, Merat S. Changes in liver fibrosis in patients with chronic hepatitis C after successful direct-acting antiviral therapy. Int J Clin Pract. 2021;75(6):e14145.

    Article  CAS  PubMed  Google Scholar 

  42. Kobayashi N, Iijima H, Tada T, Kumada T, Yoshida M, Aoki T, et al. Changes in liver stiffness and steatosis among patients with hepatitis C virus infection who received direct-acting antiviral therapy and achieved sustained virological response. Eur J Gastroenterol Hepatol. 2018;30(5):546–51.

    Article  PubMed  Google Scholar 

  43. Kawagishi N, Suda G, Nakamura A, Kimura M, Maehara O, Suzuki K, et al. Liver steatosis and dyslipidemia after HCV eradication by direct acting antiviral agents are synergistic risks of atherosclerosis. PLoS ONE. 2018;13(12):e0209615.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ogasawara N, Kobayashi M, Akuta N, Kominami Y, Fujiyama S, Kawamura Y, et al. Serial changes in liver stiffness and controlled attenuation parameter following direct-acting antiviral therapy against hepatitis C virus genotype 1b. J Med Virol. 2018;90(2):313–9.

    Article  CAS  PubMed  Google Scholar 

  45. Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet (London, England). 2019;393(10191):2636–46.

    Article  PubMed  Google Scholar 

  46. Lledo GM, Carrasco I, Benitez-Gutierrez LM, Arias A, Royuela A, Requena S, et al. Regression of liver fibrosis after curing chronic hepatitis C with oral antivirals in patients with and without HIV coinfection. AIDS. 2018;32(16):2347–52.

    Article  CAS  PubMed  Google Scholar 

  47. Tada T, Kumada T, Toyoda H, Mizuno K, Sone Y, Kataoka S, et al. Improvement of liver stiffness in patients with hepatitis C virus infection who received direct-acting antiviral therapy and achieved sustained virological response. J Gastroenterol Hepatol. 2017;32(12):1982–8.

    Article  CAS  PubMed  Google Scholar 

  48. Rosato V, Ascione A, Nevola R, Fracanzani AL, Piai G, Messina V, et al. Factors affecting long-term changes of liver stiffness in direct-acting anti-hepatitis C virus therapy: A multicentre prospective study. J Viral Hepat. 2022;29(1):26–34.

    Article  CAS  PubMed  Google Scholar 

  49. Soliman H, Ziada D, Salama M, Hamisa M, Badawi R, Hawash N, et al. Predictors for fibrosis regression in chronic HCV Patients after the treatment with DAAS: Results of a real-world cohort study. Endocr Metab Immune Disord Drug Targets. 2020;20(1):104–11.

    Article  CAS  PubMed  Google Scholar 

  50. Sangineto M, Luglio CV, Mastrofilippo T, Zingaro MT, Berardi E, Antonica G, et al. Analysis of hepatic stiffness after viral eradication in a population with chronic hepatitis C treated with DAAs. Med Clin (Barc). 2021;156(7):317–23.

    Article  CAS  PubMed  Google Scholar 

  51. Persico M, Rosato V, Aglitti A, Precone D, Corrado M, De Luna A, et al. Sustained virological response by direct antiviral agents in HCV leads to an early and significant improvement of liver fibrosis. Antivir Ther. 2018;23(2):129–38.

    Article  CAS  PubMed  Google Scholar 

  52. Kawagishi N, Suda G, Kimura M, Maehara O, Shimazaki T, Yamada R, et al. High serum angiopoietin-2 level predicts non-regression of liver stiffness measurement-based liver fibrosis stage after direct-acting antiviral therapy for hepatitis C. Hepatol Res. 2020;50(6):671–81.

    Article  CAS  PubMed  Google Scholar 

  53. Chan J, Gogela N, Zheng H, Lammert S, Ajayi T, Fricker Z, et al. Direct-acting antiviral therapy for chronic hcv infection results in liver stiffness regression over 12 months post-treatment. Dig Dis Sci. 2018;63(2):486–92.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors are grateful to all people who offered support to this study.

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Authors

Contributions

Conceptualization, P L; Data curation, B N and H Z; Formal analysis, B N and WQ Z Investigation, WQ Z; Methodology, YQ M; Project administration, P L; Resources, WQ Z; Software, B N; Supervision, P L; Validation, B N and WQ Z; Writing – original draft, B N and H Z; Writing – review & editing, CZ L. The author(s) read and approved the final manuscript.

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Correspondence to Ping Li.

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This study was conducted in accordance with the 1975 Declaration of Helsinki and approved by the Research Ethics Committee of Tianjin Second People’s Hospital (Jin Er Ren Min Lun Shen Zi [2021] No. 17). Written informed consent was obtained from each patient before receiving treatment.

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Niu, B., Zang, W., Zhou, H. et al. Regression in hepatic fibrosis in elderly Chinese patients with hepatitis C receiving direct-acting antiviral treatment. BMC Gastroenterol 23, 102 (2023). https://doi.org/10.1186/s12876-023-02732-4

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