Prediction model for hepatocellular carcinoma occurrence in patients with hepatitis C in the era of direct‐acting anti‐virals. Issue 10 (7th October 2021)

• Record Type: Journal Article
• Authors: Tahata, Yuki; Sakamori, Ryotaro; Yamada, Ryoko; Kodama, Takahiro; Hikita, Hayato; Hagiwara, Hideki; Imai, Yasuharu; Hiramatsu, Naoki; Tamura, Shinji; Yamamoto, Keiji; Oshita, Masahide; Ohkawa, Kazuyoshi; Hijioka, Taizo; Fukui, Hiroyuki; Ito, Toshifumi; Doi, Yoshinori; Yamada, Yukinori; Yakushijin, Takayuki; Yoshida, Yuichi; Tatsumi, Tomohide; Takehara, Tetsuo
• Is Part Of: Alimentary pharmacology & therapeutics. Volume 54:Issue 10(2021)
• Page Start: 1340
• Page End: 1349
• Publication Date: 2021-10-07
• Subjects: Digestive organs -- Diseases -- Treatment -- Periodicals; Digestive organs -- Effect of drugs on -- Periodicals; Gastrointestinal system -- Diseases -- Treatment -- Periodicals; Gastrointestinal system -- Effect of drugs on -- Periodicals; 615.73
• DOI: 10.1111/apt.16632
• Languages: English
• ISSNs: 0269-2813

Abstract

Summary: Background: Several factors associated with hepatocellular carcinoma (HCC) occurrence after sustained virological response (SVR) in patients with hepatitis C have been reported. However, few validation studies have been performed in the era of direct‐acting anti‐virals (DAAs). Aims: To develop a prediction model for HCC occurrence after DAA‐mediated SVR and validate its usefulness. Methods: We analysed 2209 patients with SVR and without a history of HCC who initiated DAA treatment at 24 Japanese hospitals. These patients were divided into a training set (1473 patients) and a validation set (736 patients). Results: In the training set, multivariate Cox proportional hazards analysis showed that the baseline BMI (≥25.0 kg/m 2, P = 0.024), baseline fibrosis‐4 (FIB‐4) index (≥3.25, P = 0.001), albumin level at SVR (<4.0 g/dL, P = 0.010) and alpha‐foetoprotein level at SVR (≥5.0 ng/mL, P = 0.006) were significantly associated with HCC occurrence. We constructed a prediction model for HCC occurrence with these four factors (2 points were added for the FIB‐4 index, and 1 point was added for each of the other three factors). Receiver operating characteristics curve analysis identified a score of 2 as the optimal cut‐off value for the prediction model (divided into 0‐1 and 2‐5). In the validation set, the sensitivity and negative predictive value for HCC occurrence were 87.5% and 99.7%, respectively, at 2 years and 71.4% and 98.0%, respectively, at 3 years. Conclusion: A prediction model combining these four factors contributes to an efficient surveillance strategy for HCC occurrence after DAA‐mediated SVR. Abstract : No patients with score of 0 developed HCC.The cumulative HCC occurrence rates at 2 years and 3 years were 10.7% and 18.2% in patients with score of 4‐5.