Background and Objectives: HCV infection represents a main risk factor for type 2 diabetes (T2D). This real-world analysis investigated the HCV-positive (HCV+) population with a T2D co-diagnosis in Italy. Methods: From 2017 to 2021, HCV+ patients were identified from administrative databases and stratified into T2D-HCV+ and HCV+-only cohorts in the presence/absence of a T2D diagnosis. Both cohorts were further divided by treatment with direct-acting antivirals (DAAs). The subgroups were compared for demographic variables, comorbidity profiles, most frequent hospitalizations, and drug prescriptions before inclusion. A sensitivity analysis was performed on patients included after 2019, the year of widespread use of pangenotypic DAAs. Results: Considering HCV+ patients aged >= 55 years, T2D-HCV+ patients (N = 1277) were significantly (p < 0.001) older than HCV+-only (N = 6576) ones and burdened by a worse comorbidity profile (average Charlson index: 1.4 vs. 0.3, p < 0.05). Moreover, regardless of T2D presence, DAA-treated patients were older (p < 0.001) and had a worse Charlson index than the untreated ones. T2D-HCV+ patients showed tendentially higher hospitalization rates and co-medication prescriptions compared to the HCV+-only patients. After 2019, a trend towards reduced co-medication use in DAA-treated patients was noticed, especially antibiotics and cardiovascular drugs. Conclusions: The co-presence of T2D in HCV+ patients resulted in a worse clinical status, as confirmed by the more frequent requirement of hospitalizations and complex polypharmacy regimens.
Giannini, E. G., Mangia, A., Morisco, F., Toniutto, P., Avogaro, A., Fagiuoli, S., Borghi, C., Frigerio, F., Nugnes, M., Veronesi, C., Cappuccilli, M., Andretta, M., Bacca, M., Barbieri, A., Bartolini, F., Chinellato, G., Ciaccia, A., Lombardi, R., Mancini, C. D., Pagliaro, R., Ubertazzo, L., Degli Esposti, L., Ponziani, F. R., A Real-World Analysis of the Population with Hepatitis C Virus Infection Affected by Type 2 Diabetes in Italy: Patients’ Characteristics, Comorbidity Profiles and Treatment Patterns, <<MEDICINA>>, n/a; 61 (4): N/A-N/A. [doi:10.3390/medicina61040614] [https://hdl.handle.net/10807/314433]
A Real-World Analysis of the Population with Hepatitis C Virus Infection Affected by Type 2 Diabetes in Italy: Patients’ Characteristics, Comorbidity Profiles and Treatment Patterns
Fagiuoli, Stefano;Borghi, Claudio;Barbieri, Alessandro;Lombardi, Roberto;Mancini, Cosma Danilo;Ponziani, Francesca Romana
2025
Abstract
Background and Objectives: HCV infection represents a main risk factor for type 2 diabetes (T2D). This real-world analysis investigated the HCV-positive (HCV+) population with a T2D co-diagnosis in Italy. Methods: From 2017 to 2021, HCV+ patients were identified from administrative databases and stratified into T2D-HCV+ and HCV+-only cohorts in the presence/absence of a T2D diagnosis. Both cohorts were further divided by treatment with direct-acting antivirals (DAAs). The subgroups were compared for demographic variables, comorbidity profiles, most frequent hospitalizations, and drug prescriptions before inclusion. A sensitivity analysis was performed on patients included after 2019, the year of widespread use of pangenotypic DAAs. Results: Considering HCV+ patients aged >= 55 years, T2D-HCV+ patients (N = 1277) were significantly (p < 0.001) older than HCV+-only (N = 6576) ones and burdened by a worse comorbidity profile (average Charlson index: 1.4 vs. 0.3, p < 0.05). Moreover, regardless of T2D presence, DAA-treated patients were older (p < 0.001) and had a worse Charlson index than the untreated ones. T2D-HCV+ patients showed tendentially higher hospitalization rates and co-medication prescriptions compared to the HCV+-only patients. After 2019, a trend towards reduced co-medication use in DAA-treated patients was noticed, especially antibiotics and cardiovascular drugs. Conclusions: The co-presence of T2D in HCV+ patients resulted in a worse clinical status, as confirmed by the more frequent requirement of hospitalizations and complex polypharmacy regimens.File | Dimensione | Formato | |
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