Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Liver stiffness (LS) predicts liver complication occurrence in patients with hepatitis C virus (HCV) infection after sustained virological response (SVR). The FibroScan-AST (FAST) score, which includes aspartate aminotransferase (AST) and controlled attenuation parameter (CAP; measured by FibroScan), may improve the prediction ability of isolated LS. Our aim was to compare the predictive capacity of LS vs FAST in this setting. Methods Multicenter cohort study including individuals with HIV/HCV coinfection or HCV monoinfection from Spain if they had (1) LS ≥9.5 kPa pretreatment, (2) SVR with a direct-acting antiviral (DAA)–based regimen, and (3) LS and CAP measurement at SVR. Fatty liver disease (FLD) was defined as CAP ≥248 dB/m. The primary outcome was the occurrence of a liver complication (decompensation or hepatocellular carcinoma [HCC]) after SVR. Results Three hundred patients were included; 213 (71%) had HIV. At SVR, 131 (44%) had FLD. The FAST score was <0.35 in 182 (61%), 0.35–0.67 in 79 (27%), and >0.67 in 34 (12%) patients. After a median (Q1–Q3) follow-up of 73 (53–83) months, 36 (12%) liver complications (15 [5%] HCC) occurred. LS was independently associated with an increased risk of developing liver complications (sub–hazard ratio [sHR], 1.06; 95% CI, 1.04–1.08; P < .001). In a separate model, FAST ≥0.35 was also independently associated with greater risk of liver complications (sHR, 8.12; 95% CI, 3.11–21.17; P < .001). The area under the receiver operating characteristics curve of the model based on LS was 0.83 (95% CI, 0.76–0.91), and that of the model based on FAST was 0.80 (95% CI, 0.72–0.88; P = .158). Conclusions The FAST score predicts the development of liver events after SVR but does not improve the predictive capacity of LS alone at this time point.
Source: Open Forum Infectious Diseases
DOI: 10.1093/ofid/ofae628
Authors: Anaïs Corma-Gómez, Diana Corona-Mata, Jésica Martín-Carmona, María José Galindo, Angela Camacho, Carmen Martín-Sierra, Marina Gallo-Marín, Pilar Rincón, Ignacio Perez-Valero, Margarita Pérez-García, Angela Carrasco-Dorado, Juan A Pineda, Antonio Rivero-Juárez, Antonio Rivero, Luis M Real, Juan Macías
Institutions: Consejo Superior de Investigaciones Científicas, Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red, Instituto de Biomedicina de Sevilla, Hospital Universitario de Valme, Centro de Investigación Biomédica en Red Enfermedades Infecciosas, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, University of Córdoba, Universidad de Sevilla, Hospital Clínico Universitario de Valencia
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,053
OpenAlex ID: W4409263304
