Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Nov 26:11:1486503.
doi: 10.3389/fmed.2024.1486503. eCollection 2024.

Association between the systemic immune-inflammation index and the outcome of liver fibrosis in patients with chronic hepatitis C

Affiliations

Association between the systemic immune-inflammation index and the outcome of liver fibrosis in patients with chronic hepatitis C

Yuanji Ma et al. Front Med (Lausanne). .

Abstract

Background: Risk factors that influence the outcome of patients with chronic hepatitis C (CHC) are not fully understood. The systemic immune-inflammatory index (SII) is an independent prognostic factor for multiple diseases. However, the impact of the SII on the outcome of liver fibrosis is unclear.

Methods: This prospective real-world study enrolled patients with CHC treated with sofosbuvir/velpatasvir. Logistic regression models were used to investigate the relationship between the SII and the outcome of liver fibrosis in treatment-naive patients. Liver fibrosis was assessed using aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4).

Results: Of the 288 participants, the SII was 238.2 (153.0-358.2). The non-improved outcomes of liver fibrosis assessed with APRI (non-improved APRI) and FIB-4 (non-improved FIB-4) were 83.0 and 87.5%, respectively. Adjusted models showed that the SII was positively associated with non-improved APRI (adjusted OR (95% CI): 1.013 (1.009-1.017), p < 0.001) and FIB-4 (adjusted OR (95% CI): 1.004 (1.001-1.007), p = 0.012). Similarly, a higher SII was associated with a higher risk of non-improved APRI (adjusted OR (95% CI): 13.53 (5.60-32.68), p < 0.001) and FIB-4 (adjusted OR (95% CI): 5.69 (2.17-14.90), p < 0.001). The association with non-improved APRI was much more remarkable in patients with alanine aminotransferase <2 ULN, and the association with non-improved FIB-4 was remarkable in patients aged <50 years. Multiple imputation analyses confirmed the robustness of these results.

Conclusion: Our findings suggested that the SII was positively associated with non-improved outcomes of liver fibrosis in patients with CHC. These results need to be validated in large-scale prospective cohorts.

Keywords: chronic hepatitis C; liver fibrosis; outcome; risk factor; systemic immune-inflammation index.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.

Figures

Figure 1
Figure 1
Patients’ selection. HIV, human immunodeficiency virus; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; COVID-19, coronavirus disease 2019; SII, systemic immune-inflammation index; FIB-4, fibrosis-4; APRI, aspartate aminotransferase-to-platelet ratio index.
Figure 2
Figure 2
Univariate and multivariate logistic regression analyses to identify the association between SII and the outcome of liver fibrosis. (A) Analysis with continuous SII; (B) Analysis with stratified SII. SII, systemic immune-inflammation index; FIB-4, fibrosis-4; APRI, aspartate aminotransferase-to-platelet ratio index; OR, odds ratio; CI, confidence interval. Model 1: a crude model adjusted for none. Model 2: a partially adjusted model including sex (female vs. male), age (years), liver cirrhosis (yes vs. no), and ribavirin administration (yes vs. no). Model 3: a fully adjusted model including covariates in model 2 and HCV RNA(lg10 IU/L), HCV genotype (vs. 1), baseline total bilirubin (μmol/L), baseline alanine aminotransferase (×ULN), albumin (g/L), and baseline serum creatinine (×ULN).
Figure 3
Figure 3
Stratified logistic regression analysis to identify variables that modify the correlation between continuous SII and the outcome of liver fibrosis. SII, systemic immune-inflammation index; APRI, aspartate aminotransferase-to-platelet ratio index; FIB-4, fibrosis-4; ALT, alanine aminotransferase; ULN, upper limit of normal value; OR, odds ratio; CI, confidence interval. Adjusted OR&: a fully adjusted model (Model 3) adjusted for sex (female vs. male), age (years), liver cirrhosis (yes vs. no), ribavirin administration (yes vs. no), HCV RNA(lg10 IU/L), HCV genotype (vs. 1), baseline total bilirubin (μmol/L), baseline alanine aminotransferase (×ULN), baseline albumin (g/L), and baseline serum creatinine (×ULN).
Figure 4
Figure 4
Stratified logistic regression analysis to identify variables that modify the correlation between stratified SII and the outcome of liver fibrosis. SII, systemic immune-inflammation index; APRI, aspartate aminotransferase-to-platelet ratio index; FIB-4, fibrosis-4; ALT, alanine aminotransferase; ULN, upper limit of normal value; OR, odds ratio; CI, confidence interval. Adjusted OR&: a fully adjusted model (Model 3) adjusted for sex (female vs. male), age (years), liver cirrhosis (yes vs. no), ribavirin administration (yes vs. no), HCV RNA(lg10 IU/L), HCV genotype (vs. 1), baseline total bilirubin (μmol/L), baseline alanine aminotransferase (×ULN), baseline albumin (g/L), and baseline serum creatinine (×ULN).
Figure 5
Figure 5
Multiple imputation analysis for the detection of sensitivity. (A) Analysis with continuous SII; (B) Analysis with stratified SII. Model 1: a crude model adjusted for none. Model 2: a partially adjusted model including sex (female vs. male), age (years), liver cirrhosis (yes vs. no), and ribavirin administration (yes vs. no). Model 3: a fully adjusted model including covariates in model 2 and HCV RNA(lg10 IU/L), HCV genotype (vs. 1), baseline total bilirubin (μmol/L), baseline alanine aminotransferase (×ULN), baseline albumin (g/L), and baseline serum creatinine (×ULN).

Similar articles

Cited by

References

    1. Kanda T, Goto T, Hirotsu Y, Moriyama M, Omata M. Molecular mechanisms driving progression of liver cirrhosis towards hepatocellular carcinoma in chronic hepatitis B and C infections: a review. Int J Mol Sci. (2019) 20:1358. doi: 10.3390/ijms20061358, PMID: - DOI - PMC - PubMed
    1. European Association for the Study of the Liver . Electronic address: ee, chair: CPGP, representative: EGB, panel members:. EASL recommendations on treatment of hepatitis C: final update of the series(☆). J Hepatol. (2020) 73:1170–218. doi: 10.1016/j.jhep.2020.08.018 - DOI - PubMed
    1. Ma YJ, Du LY, Yan LB, Liao J, Cheng X, Xie WW, et al. . Long-term follow-up of HCV patients with sustained virological response after treatment with pegylated interferon plus ribavirin. Hepatobiliary Pancreat Dis Int. (2021) 20:137–41. doi: 10.1016/j.hbpd.2020.02.004, PMID: - DOI - PubMed
    1. van der Meer AJ, Feld JJ, Hofer H, Almasio PL, Calvaruso V, Fernández-Rodríguez CM, et al. . Risk of cirrhosis-related complications in patients with advanced fibrosis following hepatitis C virus eradication. J Hepatol. (2017) 66:485–93. doi: 10.1016/j.jhep.2016.10.017, PMID: - DOI - PubMed
    1. Reddy KR, Pol S, Thuluvath PJ, Kumada H, Toyota J, Chayama K, et al. . Long-term follow-up of clinical trial patients treated for chronic HCV infection with daclatasvir-based regimens. Liver Int. (2018) 38:821–33. doi: 10.1111/liv.13596, PMID: - DOI - PMC - PubMed

LinkOut - more resources