Strategies for treating chronic HCV infection in patients with cirrhosis: latest evidence and clinical outcomes.

The burden of chronic hepatitis C virus (HCV) infection is significant and growing. HCV is considered one of the leading causes of liver disease worldwide and the leading cause of liver transplantation globally. While those infected is estimated in the hundreds of millions, this is likely an underestimation because of the indolent nature of this disease when first contracted. Approximately 20% of patients with HCV infection will progress to advanced fibrosis and cirrhosis. Those that do are at risk of decompensated liver disease including GI bleeding, encephalopathy, severe lab abnormalities, and hepatocellular carcinoma. Those individuals with advanced fibrosis and cirrhosis have historically been difficult to treat. The backbone of previous HCV regimens was interferon (IFN). The outcomes for IFN based regimens were poor and resulted in increased adverse events among those with advanced fibrosis and cirrhosis. Now, in the era of new direct acting antiviral (DAA's) medications, there is hope for curing chronic HCV in everyone, including those with advanced fibrosis and cirrhosis. This article provides a review on the most up to date data on the use of DAA's in patients with advanced fibrosis and cirrhosis. We are at a point where HCV could be truly eradicated, but to do so will require ensuring there are effective and safe treatments for those with advanced fibrosis and cirrhosis.

Host gene expression classifiers diagnose acute respiratory illness etiology.

Acute respiratory infections caused by bacterial or viral pathogens are among the most common reasons for seeking medical care. Despite improvements in pathogen-based diagnostics, most patients receive inappropriate antibiotics. Host response biomarkers offer an alternative diagnostic approach to direct antimicrobial use. This observational cohort study determined whether host gene expression patterns discriminate noninfectious from infectious illness and bacterial from viral causes of acute respiratory infection in the acute care setting. Peripheral whole blood gene expression from 273 subjects with community-onset acute respiratory infection (ARI) or noninfectious illness, as well as 44 healthy controls, was measured using microarrays. Sparse logistic regression was used to develop classifiers for bacterial ARI (71 probes), viral ARI (33 probes), or a noninfectious cause of illness (26 probes). Overall accuracy was 87% (238 of 273 concordant with clinical adjudication), which was more accurate than procalcitonin (78%, P < 0.03) and three published classifiers of bacterial versus viral infection (78 to 83%). The classifiers developed here externally validated in five publicly available data sets (AUC, 0.90 to 0.99). A sixth publicly available data set included 25 patients with co-identification of bacterial and viral pathogens. Applying the ARI classifiers defined four distinct groups: a host response to bacterial ARI, viral ARI, coinfection, and neither a bacterial nor a viral response. These findings create an opportunity to develop and use host gene expression classifiers as diagnostic platforms to combat inappropriate antibiotic use and emerging antibiotic resistance.