Anthropometric parameters and liver histology influence lipid metabolic changes in HCV chronic hepatitis on direct-acting antiviral treatment.

BACKGROUND: Hepatitis C virus (HCV) infection affects lipid metabolism. We investigated the impact of direct-acting antiviral (DAA) treatment on lipid metabolism in chronic hepatitis C (CHC), with a focus on the effects of anthropometric parameters and liver histology. We also analyzed the dynamics of metabolic indexes used to estimate cardiovascular risk. METHODS: In 49 patients with CHC treated with DAAs, lipid metabolic changes, anthropometric parameters, liver histology and cardiovascular risk indexes, including triglyceride to HDL ratio (Tr/HDL), fatty liver index (FLI) and visceral adiposity index (VAI) were evaluated at baseline (BL), end of treatment (EOT) and 12 [sustained virological response (SVR) 12] and 24 (SVR24) weeks after EOT. RESULTS: SVR occurred in 96% of cases. Total and LDL cholesterol and ApoB levels increased significantly between BL and EOT (P<0.001, <0.001 and 0.05, respectively) and remained stable thereafter. Total and LDL cholesterol significantly increased only in patients with higher BL waist circumference (P<0.01 and 0.009), fibrosis (P=0.002 and 0.005) and steatosis (P=0.043 and 0.033, respectively). HDL cholesterol significantly rose at SVR24. However, cardiovascular risk indexes (Tr/HDL ratio, FLI and VAI) did not significantly change during DAA treatment and follow up. CONCLUSIONS: Patients with HCV eradication after DAA treatment develop a pro-atherogenic lipid pattern, which varies according to anthropometric parameters and liver histology. However, no increase of cardiovascular risk indexes occurs in the short-term. Total and LDL cholesterol should be monitored long-term in CHC patients cured from infection.

Differences among confirmed and not-confirmed COVID-19 patients at "D.Cotugno" hospital, Naples (Italy): what we learned from first suspected cases?

Clinical presentation of COVID-19 is common to other respiratory infections. We compared the characteristics at hospital admission of confirmed and not-confirmed COVID-19 patients, in the early phase of the epidemic. Thirty-seven suspected patients were enrolled, and COVID-19 was confirmed in 17. Confirmed patients are older, have more frequently contact with confirmed cases. Distinctive clinical characteristics among COVID-19 were the grand-glass opacities at CT scan, and a pO2/FiO2 ratio less than 250. In not-confirmed group, Influenza represented the most frequent alternative diagnosis. This study contributes to highlight the characteristics to consider at hospital admission in order to promptly suspect COVID-19.

Viability of pegIFNα-RBV for CHC in the direct acting antiviral era: a practical algorithm between efficacy and cost containment.

The classical pegylated interferon α (peg-IFNα) and ribavirin (RBV) treatment of chronic hepatitis C (CHC) is progressively being replaced by new direct acting antivirals, whose costs remain a major barrier to widespread use. Using baseline data and viral kinetics, we developed a predictive algorithm to allocate to DAA patients who are not going to respond to peg-IFNα/RBV. This prospective study evaluated 205 CHC patients treated with peg-IFNα/RBV. HCVRNA kinetics during the initial 3 days of therapy and baseline variables including age, genotype, fibrosis and ALTs were used to construct a prediction rule in terms of sustained virological response (SVR). One hundred and twenty-one patients achieved an SVR (59%). Variables independently associated with SVR were HCVRNA, ALT, glycaemia, viral genotype, and fibrosis. The decline of viremia from baseline to 48/72 h was significantly different in SVR compared to non-SVR patients (2.2 vs. 0.65 log10 IU/mL; p < 0.001), and was influenced by viral genotype, levels of ALT, stage of fibrosis and IL28B polymorphism. In genotype 1, HCVRNA decline <0.8 logs had a negative predictive value of 90%, and in genotype 2, HCVRNA decline >1.2 logs had a positive predictive value of 92%. A combination of HCVRNA kinetics and a score based on pre-treatment parameters was highly accurate in predicting SVR in most patients. Outcome of peg-IFNα/RBV treatment may be predicted combining evaluation of baseline variables and HCVRNA kinetics. This allows to individualize treatment, reserving newer and more expensive DAAs to CHC patients who are in most need of them.