CURRENT CHARACTERISTICS OF PATIENTS WITH HEPATITIS C VIRUS: RESULTS FROM AN AUTOMATED ALERT SYSTEM

Le résumé fourni par la source

Alert systems are proving to be useful to increase hepatitis C virus (HCV) diagnoses and facilitating access to antiviral treatment. Since 2020, our health department has had a fully automated alert system set up at the Microbiology Department. In this study, we present the results of the 2022-2023 period to assess the current characteristics of HCV diagnosed patients. In addition, we analyzed, through a comparison, whether a limitation that we noticed during the 2020-2021 period (whose results were published) is still present. This limitation consists of that 24.2% (34/134) of those candidates for antiviral treatment were not treated because they could not be located or refused treatment. During the 2022-2023 period, 188 new cases were diagnosed, and 75% (141/188) were treated. The comparison of both periods showed that in 2022-2023, the rate of treatment rejection by the patient was significantly lower (1.4% vs 14.5%, p < 0.05) and, therefore, the rate of antiviral treatment increased (75% vs 58.9%, p < 0.05). These results suggest that our alert system is useful and efficient for the diagnosis and treatment of HCV.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.