Hepatic arterial infusion chemotherapy in the treatment of advanced hepatocellular carcinoma with portal vein thrombosis: a case-control study.

AIM: To study the treatment efficacy and survival of hepatic arterial infusion chemotherapy (HAIC) for patients with advanced hepatocellular carcinoma (HCC) and portal vein tumour thrombosis (PVTT) with compensated cirrhosis in comparison with sorafenib as the standard of care therapy versus best supportive care (BSC). MATERIALS AND METHODS: This case-control study included 91 patients with advanced HCC and PVTT divided into three groups: Group 1 20 treated with HAIC, (50 mg adriamycin and 50 mg cisplatin were infused in hepatic artery); Group 2, 42 patients treated with BSC; and Group 3, 29 patients treated with sorafenib. Patients were followed up for assessment and comparison of treatment outcome by modified Response Evaluation Criteria in Solid Tumours (mRECIST) and survival. RESULTS: There was no significant difference among the groups studied regarding baseline demographic and tumour characteristics. The majority of patients who received sorafenib therapy (82.8%) had stable disease. The response rate (complete response + partial response) was significantly better in the HAIC group. HAIC patients had the longest survival compared with the best supportive care and sorafenib groups, which was statistically significant (29.2 ± 21.8, 4.55 ± 11.41, and 11.52 ± 8.72 months respectively, p=0.007) CONCLUSION: HAIC is a safe procedure with a better response rate and longer survival than best supportive care or sorafenib for patients with advanced HCC and PVTT.

Generic daclatasvir plus sofosbuvir, with or without ribavirin, in treatment of chronic hepatitis C: real-world results from 18 378 patients in Egypt.

BACKGROUND: Treatment of chronic hepatitis C using combination of sofosbuvir (SOF) and daclatasvir (DCV) was used in several clinical trials and multicentre studies, which were somewhat limited to genotypes 1-3. The national program in Egypt is using SOF-DCV combination for large scale treatment. AIM: To assess the efficacy and safety of combined SOF-DCV in treating patients with HCV-G4 in a real-world setting. METHODS: Data and outcome of chronic HCV patients who were treated for 12 weeks with generic medications: DCV 60 mg plus SOF 400 mg ± ribavirin (RBV) within the national hepatitis C treatment program in Egypt are presented. Treatment-naïve patients without cirrhosis were treated without RBV, and those who had cirrhosis or were treatment-experienced (interferon experienced or SOF experienced) received RBV. Efficacy and safety were assessed, and baseline factors associated with sustained virological response at post-treatment week 12 (SVR12) were explored. RESULTS: During the first 2 months of the programme, 18 378 patients with HCV-G4 started treatment with SOF-DCV with or without RBV. Overall, 95.1% achieved SVR12 (95.4% among patients treated without RBV and 94.7% for patients treated with RBV, P = .32). Treatment was prematurely discontinued in only 1.5% of patients. The most common events leading to discontinuation were patient withdrawal (n = 76) and pregnancy (n = 5). Five deaths occurred within this group. CONCLUSIONS: Real-world experience of generic SOF-DCV in patients with chronic HCV-G4 proved to be safe and associated with a high SVR12 rate, in patients with different stages of fibrosis.

CUFA algorithm: assessment of liver fibrosis using routine laboratory data.

Staging of liver fibrosis is an integral part of the management of HCV. Liver biopsy is hampered by its invasiveness and possibility of sampling error. Current noninvasive methods are disadvantaged by their cost and complexity. In this study, we aimed at developing a noninvasive method for the staging of liver fibrosis based only on routine laboratory tests and clinical data. Basic clinical and laboratory data and liver biopsies were collected from 994 patients presenting for the evaluation of HCV. Logistic regression was used to create a model predictive of fibrosis stages. A sequential test was then developed by combining our new model with APRI. In the training set (497) a model was created by logistic regression for the prediction of significant fibrosis (≥F2), it included platelets, AST and age (PLASA). The areas under the curve (AUC), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 0.753, 66.8, 71.4, 69.8, 68.4, respectively, while in the validation set (497), they were 0.777, 66.7, 72.8, 68.6 and 71, respectively. These were the best performance indicators when compared to APRI, FIB-4, King's score, platelets, fibrosis index, age-platelet index and Lok index in the same set of patients. A sequential test was then developed including APRI followed by PLASA [Cairo University Fibrosis Assessment (CUFA) algorithm], this allowed saving 20% and 34% of liver biopsies for patients being tested for significant fibrosis and cirrhosis, respectively. In conclusion, the CUFA algorithms at no cost allow saving a significant proportion of patients from performing a liver biopsy or a more complex costly test. These algorithms could be used as the first step in the assessment of liver fibrosis before embarking on the more costly advanced serum markers, Fibroscan or liver biopsy.