• Paweł Pabjan, Michał Brzdęk, Magdalena Chrapek, Kacper Dziedzic, Piotr M Stępień, Katarzyna Paluch, Anna Garbat, Piotr Błoniarczyk, Katarzyna Reczko, and Dorota Zarębska-Michaluk.
• Department of Infectious Diseases, Jan Kochanowski University, Kielce, Poland
• Pol. Arch. Med. Wewn. 2021 Nov 30; 131 (11).

AbstractIntroduction: The introduction of direct-acting antivirals (DAAs) has provided us with hope to eliminate hepatitis C virus (HCV) infection as a significant public health problem in the coming years. Objective: Our study aimed to compare the effectiveness and safety of genotype-specific and pangenotypic regimens in genotype 1b–infected patients treated in real-world settings. Patients and methods: Patients were selected from 990 HCV-infected individuals treated with DAAs in the Department of Infectious Diseases in Kielce, Poland, who had the therapy initiated between July 1, 2015 and December 31, 2020. Results: A total of 795 genotype 1b–infected patients with a median age of 51 years, female predominance (55%), and a 21.1% rate of cirrhosis were included in the analysis. A total of 69.9% of patients were treated with genotype-specific regimens. Those patients were significantly older, more often were treatment experienced, and had advanced liver fibrosis and cirrhosis compared with patients assigned to pangenotypic regimens. An overall sustained virologic response rate of 97.9% in the intention-to-treat (ITT) analysis and 99% after excluding nonvirologic nonresponders was achieved, with no significant difference between patients in the 2 treatment arms. Significantly higher proportions of men (P = 0.001) and DAA-experienced patients (P = 0.049) were documented among virologic nonresponders. Conclusions: We confirmed very high effectiveness and a good safety profile of both genotype-specific and pangenotypic regimens used in patients with genotype 1b HCV infection, and we found no differences between these 2 generations of medications. Male sex and previous treatment with DAAs were identified as negative predictors for therapy effectiveness.

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