Sahin Tolga, Serin Ayfer, Emek Ertan, Bozkurt Birkan, Arikan Bahadir Turkmen, Tokat Yaman
Transplant Proc. 2019 Sep;51(7):2397-2402. doi: 10.1016/j.transproceed.2019.01.193. Epub 2019 Aug 8.
Despite advances in prevention techniques, screening, and new technologies in both diagnosis and treatment, the incidence and mortality of hepatocellular carcinoma (HCC) continue to rise. To obtain the best treatment result for HCC, early diagnosis is the key. In this study, we investigated the accuracy of noninvasive fibrosis markers, which have been typically used to predict liver fibrosis in recent years, in the prediction of HCC development in patients with chronic hepatitis B and chronic hepatitis B + D-induced cirrhosis.
Between 2004 and 2018, 1216 patients with chronic liver disease were retrospectively reviewed, and 331 patients (27%) with hepatitis B and hepatitis B+D virus-related cirrhosis were enrolled in our study. Patients were divided into 2 groups based on HCC diagnosis (HCC and non-HCC group). Eleven noninvasive fibrosis markers were evaluated in the groups. These markers included 3 alpha-fetoprotein (AFP)-based models (PAPAS index, Fibro-alpha, and BRC score) and 8 non-AFP based models (Lok index, FIB-4, Fibro-O index, APRI, King's score, Forns index, Bonacini score, and HUI model) for each Child-Pugh score in the prediction of HCC.
AFP-based models were higher in HCC group patients, and statistically significant outcomes were detected with these methods in each Child-Pugh score group for HCC prediction (P < .05). Non-AFP based-methods showed different and inconsistent results in each Child-Pugh score group.
These easily applied fibrosis markers, particularly AFP-based models, may provide an effective, simple, and low-cost way to predict HCC development in patients with hepatitis B and hepatitis B + D cirrhosis.
尽管在预防技术、筛查以及诊断和治疗的新技术方面取得了进展,但肝细胞癌(HCC)的发病率和死亡率仍在持续上升。为了获得HCC的最佳治疗效果,早期诊断是关键。在本研究中,我们调查了近年来通常用于预测肝纤维化的非侵入性纤维化标志物在预测慢性乙型肝炎和慢性乙型肝炎 + D型肝炎所致肝硬化患者发生HCC方面的准确性。
回顾性分析2004年至2018年间1216例慢性肝病患者,本研究纳入了331例(27%)乙型肝炎和乙型肝炎 + D型病毒相关性肝硬化患者。根据HCC诊断将患者分为两组(HCC组和非HCC组)。对两组患者评估了11种非侵入性纤维化标志物。这些标志物包括3种基于甲胎蛋白(AFP)的模型(PAPAS指数、Fibro-alpha和BRC评分)以及8种非AFP模型(Lok指数、FIB-4、Fibro-O指数、APRI、King评分、Forns指数、Bonacini评分和HUI模型),用于预测各Child-Pugh评分的HCC。
基于AFP的模型在HCC组患者中更高,在预测HCC的各Child-Pugh评分组中,这些方法检测到具有统计学意义的结果(P < 0.05)。基于非AFP的方法在各Child-Pugh评分组中显示出不同且不一致的结果。
这些易于应用的纤维化标志物,尤其是基于AFP的模型,可能为预测乙型肝炎和乙型肝炎 + D型肝炎肝硬化患者发生HCC提供一种有效、简单且低成本的方法。