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Serum fibrosis index-based risk score predicts hepatocellular carcinoma in untreated patients with chronic hepatitis B

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Background/Aims: Serum fibrosis scores comprised of common laboratory tests have high utility to assess severity of liver fibrosis. We aimed to derive and validate a hepatocellular carcinoma (HCC) risk score based on serum fibrosis scores to predict HCC in treatment-naïve chronic hepatitis B (CHB) patients. Methods: Fifteen thousand one hundred eighty-seven treatment-naïve adult CHB patients were identified to form the training cohort in this retrospective study. Individual fibrosis score was included to construct a new HCC prediction score. The score was externally validated in an independent treatment-naïve Korean CHB cohort. Results: 180/15,187 patients (1.2%) in training cohort and 47/4,286 patients (1.1%) in validation cohort developed HCC during a mean follow-up of 52 and 50 months, respectively. The newly developed HCC risk score, Liang score, is composed of gender, age, hepatitis B virus DNA, fibrosis-4 (FIB-4) index, and ranges from 0 to 22. Area under the timedependent receiver operating characteristic curve of Liang score was 0.79 (95% confidence interval, 0.70–0.89). A cutoff value of nine provided an extremely high negative predictive value of 99.9% and high sensitivity of 90.0% at 5 years in the validation cohort. Patients with Liang score ≤9 had HCC incidence <0.2% per year in both training and validation cohorts, in whom HCC surveillance might be exempted. Conclusion: A novel HCC risk score, Liang score, based on FIB-4 index, is applicable and accurate to identify treatmentnaïve CHB patients with very low risk of HCC to be exempted from HCC surveillance.

Abstract

Background/Aims: Serum fibrosis scores comprised of common laboratory tests have high utility to assess severity of liver fibrosis. We aimed to derive and validate a hepatocellular carcinoma (HCC) risk score based on serum fibrosis scores to predict HCC in treatment-naïve chronic hepatitis B (CHB) patients. Methods: Fifteen thousand one hundred eighty-seven treatment-naïve adult CHB patients were identified to form the training cohort in this retrospective study. Individual fibrosis score was included to construct a new HCC prediction score. The score was externally validated in an independent treatment-naïve Korean CHB cohort. Results: 180/15,187 patients (1.2%) in training cohort and 47/4,286 patients (1.1%) in validation cohort developed HCC during a mean follow-up of 52 and 50 months, respectively. The newly developed HCC risk score, Liang score, is composed of gender, age, hepatitis B virus DNA, fibrosis-4 (FIB-4) index, and ranges from 0 to 22. Area under the timedependent receiver operating characteristic curve of Liang score was 0.79 (95% confidence interval, 0.70–0.89). A cutoff value of nine provided an extremely high negative predictive value of 99.9% and high sensitivity of 90.0% at 5 years in the validation cohort. Patients with Liang score ≤9 had HCC incidence <0.2% per year in both training and validation cohorts, in whom HCC surveillance might be exempted. Conclusion: A novel HCC risk score, Liang score, based on FIB-4 index, is applicable and accurate to identify treatmentnaïve CHB patients with very low risk of HCC to be exempted from HCC surveillance.

참고문헌 (35)

  1. Polaris Observatory Collaborators, "Global prevalence, treatment, and prevention of hepatitis B virus infection in 2016 : a modelling study", Lancet Gastroenterol Hepatol, 3, pp.383~403 (2018)
  2. Singal AG, "Epidemiology and surveillance for hepatocellular carcinoma : new trends", J Hepatol, 72, pp.250~261 (2020)
  3. Wong GL, "Surveillance programme for hepatocellular carcinoma improves the survival of patients with chronic viral hepatitis", Liver Int, 28, pp.79~87 (2008)
  4. Terrault NA, "Update on prevention, diagnosis, and treatment of chronic hepatitis B : AASLD 2018 hepatitis B guidance", Hepatology, 67, pp.1560~1599 (2018)
  5. European Association for the Study of the Liver, "EASL 2017 clinical practice guidelines on the management of hepatitis B virus infection", J Hepatol, 67, pp.370~398 (2017)
  6. Sarin SK, "Asian-Pacific clinical practice guidelines on the management of hepatitis B : a 2015 update", Hepatol Int, 10, pp.1~98 (2016)
  7. Wong GL, "Entecavir treatment reduces hepatic events and deaths in chronic hepatitis B patients with liver cirrhosis", Hepatology, 58, pp.1537~1547 (2013)
  8. Yip TC, "Tenofovir is associated with lower risk of hepatocellular carcinoma than entecavir in patients with chronic HBV infection in China", Gastroenterology, 158, pp.215~225.e6 (2020)
  9. Bonacci M, "Anti-viral therapy can be delayed or avoided in a significant proportion of HBeAg-negative Caucasian patients in the grey zone", Aliment Pharmacol Ther, 47, pp.1397~1408 (2018)
  10. Sinn DH, "Hepatocellular carcinoma risk in chronic hepatitis B virus-infected compensated cirrhosis patients with low viral load", Hepatology, 62, pp.694~701 (2015)
  11. Wong VW, "Clinical scoring system to predict hepatocellular carcinoma in chronic hepatitis B carriers", J Clin Oncol, 28, pp.1660~1665 (2010)
  12. Wong GL, "Liver stiffness-based optimization of hepatocellular carcinoma risk score in patients with chronic hepatitis B", J Hepatol, 60, pp.339~345 (2014)
  13. Wong VW, "Surrogate end points and long-term outcome in patients with chronic hepatitis B", Clin Gastroenterol Hepatol, 7, pp.1113~1120 (2009)
  14. Liang LY, "Improvement in enhanced liver fibrosis score and liver stiffness measurement reflects lower risk of hepatocellular carcinoma", Aliment Pharmacol Ther, 49, pp.1509~1517 (2019)
  15. Cheng JYK, "Advances in the diagnosis and treatment of liver fibrosis", Hepatoma Res, 3, pp.156~169 (2017)
  16. Wong GL, "Development of a non-invasive algorithm with transient elastography(Fibroscan)and serum test formula for advanced liver fibrosis in chronic hepatitis B", Aliment Pharmacol Ther, 31, pp.1095~1103 (2010)
  17. Brouwer WP, "Prediction of long-term clinical outcome in a diverse chronic hepatitis B population : role of the PAGE-B score", J Viral Hepat, 24, pp.1023~1031 (2017)
  18. "Combating hepatitis B and C to reach elimination by 2030: advocacy brief"[URL]
  19. Cheng M, "Development journey of clinical data analysis and reporting system(CDARS)in hospital authority of Hong Kong", MEDINFO, 160, pp.1468~ (2010)
  20. Yip TC, "Durability of hepatitis B surface antigen seroclearance in untreated and nucleos(t)ide analogue-treated patients", J Hepatol, 68, pp.63~72 (2018)
  21. Wong GL, "Chronic kidney disease progression in patients with chronic hepatitis B on tenofovir, entecavir, or no treatment", Aliment Pharmacol Ther, 48, pp.984~992 (2018)
  22. Yip TC, "On-treatment improvement of MELD score reduces death and hepatic events in patients with hepatitis B-related cirrhosis", Am J Gastroenterol, 113, pp.1629~1638 (2018)
  23. Lai JC, "Chronic hepatitis B increases liver-related mortality of patients with acute hepatitis E : a territorywide cohort study from 2000 to 2016", Clin Infect Dis, 67, pp.1278~1284 (2018)
  24. Wong JC, "Statins reduce the risk of liver decompensation and death in chronic viral hepatitis : a propensity score weighted landmark analysis", Aliment Pharmacol Ther, 46, pp.1001~1010 (2017)
  25. Vallet-Pichard A, "FIB-4 : an inexpensive and accurate marker of fibrosis in HCV infection. Comparison with liver biopsy and fibrotest", Hepatology, 46, pp.32~36 (2007)
  26. Castéra L, "Prospective comparison of transient elastography, Fibrotest, APRI, and liver biopsy for the assessment of fibrosis in chronic hepatitis C", Gastroenterology, 128, pp.343~350 (2005)
  27. Heagerty PJ, "Time-dependent ROC curves for censored survival data and a diagnostic marker", Biometrics, 56, pp.337~344 (2000)
  28. Wong GL, "An aging population of chronic hepatitis B with increasing comorbidities : a territory-wide study from 2000 to 2017", Hepatology, 71, pp.444~455 (2020)
  29. Yotsuyanagi H, "Hepatitis B virus-related hepatocellular carcinoma in young adults : efficacy of nationwide selective vaccination", Hepatol Res, 50, pp.182~189 (2020)
  30. Yuen MF, "Independent risk factors and predictive score for the development of hepatocellular carcinoma in chronic hepatitis B", J Hepatol, 50, pp.80~88 (2009)
  31. Wong GL, "Risk prediction of hepatitis B virus-related hepatocellular carcinoma in the era of antiviral therapy", World J Gastroenterol, 19, pp.6515~6522 (2013)
  32. Marrero JA, "Diagnosis, staging, and management of hepatocellular carcinoma : 2018 practice guidance by the American Association for the Study of Liver Diseases", Hepatology, 68, pp.723~750 (2018)
  33. Ong TZ, "Ultrasonography is not reliable in diagnosing liver cirrhosis in clinical practice", Singapore Med J, 44, pp.293~295 (2003)
  34. Wong GL, "Meta-analysis : the association of hepatitis B virus genotypes and hepatocellular carcinoma", Aliment Pharmacol Ther, 37, pp.517~526 (2013)
  35. Chan HL, "Genotype C hepatitis B virus infection is associated with an increased risk of hepatocellular carcinoma", Gut, 53, pp.1494~1498 (2004)

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