Statins may retard the progression of hepatic fibrosis, may prevent hepatic decompensation in cirrhosis, and may reduce all-cause mortality in patients with CLD. As the quality (certainty) of evidence is low, further studies are needed before statins can be routinely recommended.

No abstract

INTRODUCTION:Invasive pulmonary aspergillosis (IPA) is a major cause of morbidity and mortality in patients with hematological malignancies. In recent years, testing for values of galactomannan (GM) in serum and bronchoalveolar lavage (BAL) fluid has been investigated as a diagnostic test for IPA for such patients, but global experience and consensus on optical density (OD) cutoffs, especially for BAL galactomannan remains lacking.METHODS:We performed a prospective case–control study to determine an optimal BAL GM OD cutoff for IPA in at-risk patients. Cases were subjects with hematological diagnoses who met established revised definitions for proven or probable IPA established by the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group (EORTC/MSG, 2008), without the use of BAL GM results. Exclusion criteria included the use of piperacillin/tazobactam and use of antifungals that were active against Aspergillus spp. before bronchoscopy. There were two control groups: patients with hematological diagnoses not meeting definitions for proven or probable IPA and patients with nonhematological diagnoses with no evidence of aspergillosis. Following bronchoscopy and BAL, GM testing was performed using the Platelia Aspergillus seroassay in accordance with the manufacturer's instructions.RESULTS:There were 51 cases and 20 controls. Cases had higher BAL fluid GM OD indices (ODIs) (mean: 1.27 and range: 0.4–3.78) compared with controls (mean: 0.26 and range: 0.09–0.35). Receiver operating characteristic analysis demonstrated an optimum ODI cutoff of 1.0, with high specificity (100%) and sensitivity (87.5%) for diagnosing IPA.CONCLUSIONS:Our results support BAL GM testing as a reasonably safe test with higher sensitivity compared to serum GM testing in at-risk patients with hematological diseases. A higher OD cutoff is necessary to avoid overdiagnosis of IPA.

Electronic health record (EHR)-driven genomic research is a recent strategy used to answer research questions using EHR data linked to DNA samples. In models using EHR, after the subject's DNA is collected, a linkage between the DNA sample and the EHR data is maintained. This makes the EHR the paramount source of phenotypic information. The National Human Genome Research Institute sponsored Electronic Medical Records and Genomics (eMERGE) network began in five sites in 2007 and was expanded to nine sites in 2012. This network has developed the methods and best practices for utilizing EHR as a tool for genomic research. Therefore, it is vital to understand the configuration of EHR used to capture data in clinical practice and feasibility of integration with clinical genetic test results. We present a detailed review of the role and importance of EHR in the field of genomic research.