Barbara J Turner1, Yuanyuan Liang, Amit G Singal. 1. Departments of aMedicine bEpidemiology and Biostatistics cCenter for Research to Advance Community Health (ReACH), University of Texas Health Science Center (UTHSCSA), San Antonio dDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Abstract
OBJECTIVES: Noninvasive measures are widely used to assess fibrosis and may be used to prioritize hepatitis C virus (HCV) treatment. We examined risks for likely fibrosis in patients with chronic HCV infection using fibrosis-4 (FIB-4) and imaging. PATIENTS AND METHODS: A HCV screening program diagnosed chronic HCV in patients born from 1945 to 1965 admitted in a safety net hospital. Likely fibrosis was based on FIB-4 (≥1.45) alone or combined with imaging interpreted as fibrosis or cirrhosis. Logistic regression was used to calculate adjusted odds ratios (AORs) for demographic, clinical, and insurance factors associated with each outcome. Using multiple linear regression among patients with likely fibrosis, we examined associations with higher Model for End-Stage Liver Disease (MELD) scores. RESULTS: Using FIB-4 alone, 57% (83/146) of patients had likely fibrosis versus 43% (63/148) using FIB-4 plus imaging. Obesity/overweight and Hispanic ethnicity had over three-fold to four-fold higher AORs for fibrosis, respectively, based on FIB-4 plus imaging, but both AORs were only two-fold greater with FIB-4 alone. Being uninsured was significantly associated with fibrosis based on FIB-4 alone [AOR=2.40 (95% confidence interval 1.01-5.70)] but not with imaging. Heavy alcohol use and older age were associated with higher AORs of fibrosis with both measures (all P<0.004). MELD scores were ∼3 points higher for uninsured patients, regardless of measure (both P<0.05). CONCLUSIONS: Using FIB-4 plus imaging to identify fibrosis in chronic HCV, higher risks are seen for Hispanics and overweight/obese individuals than using FIB-4 alone. Higher MELD scores at diagnosis for the uninsured indicate delayed access to care.
OBJECTIVES: Noninvasive measures are widely used to assess fibrosis and may be used to prioritize hepatitis C virus (HCV) treatment. We examined risks for likely fibrosis in patients with chronic HCV infection using fibrosis-4 (FIB-4) and imaging. PATIENTS AND METHODS: A HCV screening program diagnosed chronic HCV in patients born from 1945 to 1965 admitted in a safety net hospital. Likely fibrosis was based on FIB-4 (≥1.45) alone or combined with imaging interpreted as fibrosis or cirrhosis. Logistic regression was used to calculate adjusted odds ratios (AORs) for demographic, clinical, and insurance factors associated with each outcome. Using multiple linear regression among patients with likely fibrosis, we examined associations with higher Model for End-Stage Liver Disease (MELD) scores. RESULTS: Using FIB-4 alone, 57% (83/146) of patients had likely fibrosis versus 43% (63/148) using FIB-4 plus imaging. Obesity/overweight and Hispanic ethnicity had over three-fold to four-fold higher AORs for fibrosis, respectively, based on FIB-4 plus imaging, but both AORs were only two-fold greater with FIB-4 alone. Being uninsured was significantly associated with fibrosis based on FIB-4 alone [AOR=2.40 (95% confidence interval 1.01-5.70)] but not with imaging. Heavy alcohol use and older age were associated with higher AORs of fibrosis with both measures (all P<0.004). MELD scores were ∼3 points higher for uninsured patients, regardless of measure (both P<0.05). CONCLUSIONS: Using FIB-4 plus imaging to identify fibrosis in chronic HCV, higher risks are seen for Hispanics and overweight/obese individuals than using FIB-4 alone. Higher MELD scores at diagnosis for the uninsured indicate delayed access to care.
Authors: Rosa López-Martínez; Andrea Arias-García; Francisco Rodríguez-Algarra; Laura Castellote-Bellés; Ariadna Rando-Segura; Guillermo Tarraso; Elena Vargas-Accarino; Isabel Montserrat-Lloan; Albert Blanco-Grau; Andrea Caballero-Garralda; Roser Ferrer-Costa; Tomas Pumarola-Sunye; Maria Buti-Ferret; Rafael Esteban-Mur; Josep Quer; Ernesto Casis-Saez; Francisco Rodríguez-Frías Journal: J Clin Microbiol Date: 2019-12-23 Impact factor: 5.948