Fecal microbiota transplantation in hepatic encephalopathy : a review of the current evidence and future perspectives.

Hepatic encephalopathy (HE) is a leading cause of hospitalization and morbimortality in advanced cirrhosis with limited therapeutic options available. Given the paramount role of gut microbiota in HE, and the efficacy of fecal microbiota transplantation (FMT) in other diseases, this review intends to summarize the evidence supporting the safety, efficacy and future perspectives of FMT in HE. Current evidence, despite being scarce, points towards FMT being a safe, effective and tolerable procedure in HE. Some unanswered questions remain about the optimal dose, the administration route, the long term effects and the selection of the optimal donor. Future trials, some of which are already underway, will provide us additional evidence and hopefully the necessary answers.

Evaluation of the sensitivity of the Express View function in the Mirocam® capsule endoscopy software.

Background: A new computer algorithm called Express-View has recently been introduced by Mirocam, but data concerning its application and efficacy are scarce.Objective: To evaluate the lesion detection rate, per-patient sensitivity and the diagnostic accuracy using Express-View.Methods: All patients who performed CE between January 2018 and June 2019, whose indication was obscure gastrointestinal bleeding (OGIB) and with findings on CE, were included. Lesions identified in conventional reading were selected and considered as reference.Results: Eighty-nine patients were included, 50.6% male, with a mean age of 68.4 years-old (±12.3). The Express-View mode detected 85.5% of lesions previously detected by conventional reading (524 out of 613). There were 89 missed lesions, mainly erosions or ulcers (44.9%) and angioectasias (38.2%). The lesion detection rate was found to be lower in the jejunum and ileum compared to extra-small bowel locations and duodenum (p = .04). Although Express-View had a per-patient sensitivity for all lesions of 56.2% and a per-patient sensitivity for all clinically significant lesions of 83.1%, it achieved a diagnostic accuracy of 91%.Conclusions: The per-patient sensitivity for all lesions was shown to be below expectations, although the lesion detection rate, the per-patient sensitivity for all clinically significant lesions, and the diagnostic accuracy were shown to be higher.