Diet‐related chronic diseases are at epidemic levels in low‐income ethnic minority populations. The purpose of this study is to decrease risk for obesity in children by modifying the food environment and conducting point‐of‐purchase promotions that will lead to changes in psychosocial factors and behaviors associated with healthier food choices among low‐income communities with a preponderance of Native Hawaiians and Pacific Islanders. We implemented an intervention trial over a 9–11‐month period in five food stores in two low‐income multiethnic communities in Hawaii, targeting both children and their adult caregivers. The Healthy Foods Hawaii (HFH) intervention consisted of an environmental component to increase store stocking of nutritious foods, point‐of‐purchase promotions, interactive sessions, and involved local producers and distributors. We evaluated the impact of the program on 116 child–caregiver dyads, sampled from two intervention and two comparison areas before and after intervention implementation. Program impacts were evaluated using multivariable linear regression. The HFH program had a significant impact on caregiver knowledge and the perception that healthy foods are convenient. Intervention children significantly increased their Healthy Eating Index (HEI) score for servings of grains, their total consumption of water, and showed an average 8.5 point (out of 90 total, eliminating the 10 points for variety, giving a 9.4% increase) increase in overall HEI score. A food store intervention was effective in improving healthy food knowledge and perception that healthy foods are convenient among caregivers, and increased the consumption of several targeted healthy foods by their children. Greater intensity, sustained food system change, and further targeting for children are needed to show greater and sustained change in food‐related behaviors in low‐income Native Hawaiian and Pacific Islander communities.

In a large observational cohort, FIB-4 was good at differentiating 5 stages of chronic HCV infection. It can be useful in screening patients who need biopsy and therapy, for monitoring patients with less advanced disease, and for longitudinal studies.

BACKGROUND & AIMS Antiviral therapy could reduce the risk of hepatocellular carcinoma (HCC) among persons with chronic hepatitis B virus (HBV) infection. We evaluated the relationship between therapy for chronic HBV infection and HCC incidence using data from a longitudinal study of patients at 4 US healthcare centers. METHODS We analyzed electronic health records of 2671 adult participants in the Chronic Hepatitis Cohort Study who were diagnosed with chronic HBV infection from 1992 through 2011 (49% Asian). Data analyzed were collected for a median of 5.2 years. Propensity-score adjustment was used to reduce bias, and Cox regression was used to estimate the relationship between antiviral treatment and HCC. The primary outcome was time to event of HCC incidence. RESULTS Of study subjects, 3% developed HCC during follow-up period: 20 cases among the 820 patients with a history of antiviral HBV therapy and 47 cases among the 1851 untreated patients. In propensity-adjusted Cox regression, patients who received antiviral therapy had a lower risk of HCC than those who did not receive antiviral therapy (adjusted hazard ratio, 0.39; 95% confidence interval, 0.27–0.56; P < .001), after adjusting for abnormal level of alanine aminotransferase. In a subgroup analysis, antiviral treatment was associated with a lower risk of HCC after adjusting for serum markers of cirrhosis (adjusted hazard ratio, 0.24; 95% confidence interval, 0.15–0.39; P < .001). In a separate subgroup analysis of patients with available data on HBV DNA viral load, treated patients with viral loads >20,000 IU/mL had a significantly lower risk of HCC than untreated patients with viral loads >20,000 IU/mL. CONCLUSIONS In a large geographically, clinically, and racially diverse US cohort, antiviral therapy for chronic HBV infection was associated with a reduced risk for HCC.

Assessment of liver fibrosis is critical for successful individualized disease management in persons with chronic hepatitis B (CHB) or chronic hepatitis C (CHC). We expanded and validated serum marker indices to provide accurate, reproducible and easily applied methods of fibrosis assessment. Liver biopsy results from over 284 CHB and 2304 CHC patients in the Chronic Hepatitis Cohort Study ('CHeCS') were mapped to a F0-F4 equivalent scale. APRI and FIB-4 scores within a 6-month window of biopsy were mapped to the same scale. A novel algorithm was applied to derive and validate optimal cut-offs for differentiating fibrosis levels. For the prediction of advanced fibrosis and cirrhosis, the FIB-4 score outperformed the other serum marker indices in the CHC cohort and was similar to APRI in the CHB cohort. The area under the receiver operating characteristic curves (AUROC) for FIB-4 in differentiating F3-F4 from F0-F2 was 0.86 (95% CI: 0.80-0.92) for CHB and 0.83 (95% CI: 0.81-0.85) for CHC. The suggested cut-offs based on FIB-4 model produced high positive predictive values [CHB: 90.0% for F0-F2, 100.0% for cirrhosis (F4); CHC: 89.7% for F0-F2; 82.9% for cirrhosis (F4)]. In this large observational cohort, FIB-4 predicted the upper and lower end of liver fibrosis stage (cirrhosis and F0-F2, respectively) with a high degree of accuracy in both CHB and CHC patients.

We aim to determine the predictive ability of APRI, FIB-4 and AST/ALT ratio for staging of liver fibrosis and to differentiate significant fibrosis (F2-F4) from none to minimal fibrosis (F0-F1) in chronic hepatitis B (CHB). Liver biopsy results were mapped to an F0-4 equivalent fibrosis stage. Mean APRI and FIB-4 scores were significantly higher for each successive fibrosis level from F1 to F4 (P < 0.05). Based on optimized cut-offs, the AUROCs in distinguishing F2-F4 from F0 to F1 were 0.81 (0.76-0.87) for APRI, 0.81 (0.75-0.86) for FIB-4 and 0.56 (0.49-0.64) for AST/ALT ratio. APRI and FIB-4 distinguished F2-F4 from F0 to F1 with good sensitivity and specificity and can be useful for treatment decisions and monitoring progression of fibrosis.