Ezetimibe inhibits intestinal cholesterol absorption and lowers low-density lipoprotein cholesterol. Uncontrolled studies have suggested that it reduces liver fat as estimated by ultrasound in nonalcoholic steatohepatitis (NASH). Therefore, we aimed to examine the efficacy of ezetimibe versus placebo in reducing liver fat by the magnetic resonance imaging-derived proton density-fat fraction (MRI-PDFF) and liver histology in patients with biopsy-proven NASH. In this randomized, double-blind, placebo-controlled trial, 50 patients with biopsy-proven NASH were randomized to either ezetimibe 10 mg orally daily or placebo for 24 weeks. The primary outcome was a change in liver fat as measured by MRI-PDFF in colocalized regions of interest within each of the nine liver segments. Novel assessment by two-dimensional and three-dimensional magnetic resonance elastography was also performed. Ezetimibe was not significantly better than placebo at reducing liver fat as measured by MRI-PDFF (mean difference between the ezetimibe and placebo arms -1.3%, P = 0.4). Compared to baseline, however, end-of-treatment MRI-PDFF was significantly lower in the ezetimibe arm (15%-11.6%, P < 0.016) but not in the placebo arm (18.5%-16.4%, P = 0.15). There were no significant differences in histologic response rates, serum alanine aminotransferase and aspartate aminotransferase levels, or longitudinal changes in two-dimensional and three-dimensional magnetic resonance elastography-derived liver stiffness between the ezetimibe and placebo arms. Compared to histologic nonresponders (25/35), histologic responders (10/35) had a significantly greater reduction in MRI-PDFF (-4.35 ± 4.9% versus -0.30 ± 4.1%, P < 0.019). Conclusions: Ezetimibe did not significantly reduce liver fat in NASH. This trial demonstrates the application of colocalization of MRI-PDFF-derived fat maps and magnetic resonance elastography-derived stiffness maps of the liver before and after treatment to noninvasively assess treatment response in NASH. (Hepatology 2015;61:1239–1250)

PurposeSocial media channels provide an avenue for expressing views about different services/products. However, unlike merchandise/company websites (where users can post both reviews and ratings), it is not possible to understand user's ratings for a particular service-related comment on social media unless explicitly mentioned. Predicting ratings can be beneficial for service providers and prospective customers. Additionally, predicting ratings from a user-generated content can help in developing vast data sets for recommender systems utilizing recent data. The aim of this study is to predict ratings more accurately and enhance the performance of sentiment-based predictors by combining it with the emotional content of textual data.Design/methodology/approachThis study had utilized a combination of sentiment and emotion scores to predict the ratings of Twitter posts (3,509 tweets) in three different contexts, namely, online food delivery (OFD) services, online travel agencies (OTAs) and online learning (e-learning). A total of 29,551 reviews were utilized for training and testing purposes.FindingsResults of this study indicate accuracies of 58.34%, 57.84% and 100% in cases of e-learning, OTA and OFD services, respectively. The combination of sentiment and emotion scores showed an increase in accuracies of 19.41%, 27.83% and 40.20% in cases of e-learning, OFD and OTA services, respectively.Practical implicationsUnderstanding the ratings of social media comments can help both service providers as well as prospective customers who do not spend much time reading posts but want to understand the perspectives of others about a particular service/product. Additionally, predicting ratings of social media comments will help to build databases for recommender systems in different contexts.Originality/valueThe uniqueness of this study is in utilizing a combination of sentiment and emotion scores to predict the ratings of tweets related to different online services, namely, e-learning OFD and OTAs.

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Introduction: Gastrointestinal bleeding (GIB) remains a common and vexing complication of left ventricular assist device (LVAD) support. Recent single-center analyses suggest that ACE inhibitors (ACEi)/angiotensin receptor blockers (ARB) and digoxin may prevent GIB in LVAD patients. Here we evaluate the effect of guideline-directed medical therapies (GDMT) for heart failure (HF) on rates of GIB through analysis of the INTERMACS registry database. Methods: Thirteen thousand seven hundred thirty-two patients who received a continuous-flow LVAD and were on antiplatelet therapy and anticoagulation with warfarin after 3 months of pump support were included in the analysis. GIB events following implant were assessed based on receipt of ACEi/ARB, beta-blockers (BB), mineralocorticoid receptor antagonist (MRA), amiodarone, digoxin, loop diuretics, and phosphiesterase-5 inhibitors (PDE5). Backwards stepwise cox regression was used to control for confounding of each drug class on each other, as well as for clinical variables like age, gender, renal function, HF etiology, and device strategy. Results: After 3 months of pump support medications used in LVAD patients were BB (65.0%), ACEi/ARB (51.7%), Amio (43.7%), MRA (37.9%), and loop diuretics (70.1%). In patients with available data, PDE and digoxin use were 18.2% and 16.9%, respectively. The overall incidence of GIB was 19.5% at 2 years of support. After adjustment for other clinical variables, loop diuretics (HR 1.274, p < 0.001) and PDE5 (HR 1.241, p < 0.001) use were associated with increased risk of GIB, while use of BB (HR 0.871, p = 0.006) was associated with lower risk of GIB. ACEi/ARB (HR 1.002, p = 0.971), Amio (HR 1.083, p = 0.106), AA (HR 0.967, p = 0.522) or digoxin (HR 1.087, p = 0.169) did not affect GIB rates on LVAD support (Figure). Conclusion: Despite recent reports, ACEi/ARB, MRA, Amio, and digoxin use does not appear to be associated with GIB during LVAD support. The heightened risk seen in those on loop diuretics may reflect venous congestion in these patients, while antiplatelet effects of PDE5 could drive the higher risk of GIB.

Background: Nonalcoholic steatohepatitis (NASH) is associated with increased cardiovascular risk and mortality. No US Food and Drug Administration (FDA) approved therapies for NASH are available; clinical trials to date have not yet systematically assessed for changes in cardiovascular risk. This study examines the prospective utility of cardiovascular risk assessments, the Framingham risk score (FRS) and coronary artery calcium (CAC) score, as endpoints in a NASH randomized clinical trial, and assesses whether histologic improvements lead to lower cardiovascular risk. Methods: Secondary analysis of a 24-week randomized, double-blind, placebo-controlled trial (MOZART) in which 50 biopsy-proven NASH patients received oral ezetimibe 10 mg daily (n = 25) versus placebo (n = 25). Biochemical profiling, FRS, CAC scores, liver biopsies were obtained at baseline and endpoint. Results: Ezetimibe improved FRS whereas placebo did not (4.4 ± 6.2 to 2.9 ± 4.8, p = 0.038; 3.0 ± 4.4 to 2.9 ± 4.2, p = 0.794). CAC scores did not change with ezetimibe or placebo (180.4 ± 577.2 to 194.1 ± 623.9, p = 0.293; 151.4 ± 448.9 to 183.3 ± 555.7, p = 0.256). Ezetimibe improved FRS and CAC scores in more patients than placebo (48% versus 23%, p = 0.079, and 21% versus 0%, p = 0.090, respectively), though not significantly. No differences were noted in cardiovascular risk scores among histologic responders versus nonresponders. Conclusions: Ezetimibe improved FRS whereas placebo did not. FRS and CAC scores improved in a greater proportion of patients with ezetimibe; this trend did not reach significance. These findings indicate the utility and feasibility of monitoring cardiovascular risk in a NASH trial. The utility of CAC scores may be higher in trials of longer duration (⩾52 weeks) and with older patients (age ⩾45). ClinicalTrials.gov registration: NCT01766713.