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Nosocomial infections (NIs) in critically ill patients with cirrhosis result in higher death and transplant delisting. NIs are promoted by staff, visitors, and the environment, all of which were altered to reduce pathogen transmission after COVID-19. Two cohorts of intensive care unit patients with cirrhosis from March 2019 to February 2020 (pre-COVID, n = 234) and March 2020 to March 2021 (COVID era, n = 296) were included. We found that despite a higher admission MELD-Na, qSOFA, and WBC count and requiring a longer intensive care unit stay, COVID-era patients developed lower NIs (3% vs 10%, P0.001) and had higher liver transplant rates vs pre-COVID patients. COVID-era restrictions could reduce NIs in critically ill patients with cirrhosis.

In patients with cirrhosis and chronic liver disease, acute-on-chronic liver failure is emerging as a major cause of mortality. These guidelines indicate the preferred approach to the management of patients with acute-on-chronic liver failure and represent the official practice recommendations of the American College of Gastroenterology. The scientific evidence for these guidelines was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation process. In instances where the evidence was not appropriate for Grading of Recommendations, Assessment, Development, and Evaluation, but there was consensus of significant clinical merit, key concept statements were developed using expert consensus. These guidelines are meant to be broadly applicable and should be viewed as the preferred, but not only, approach to clinical scenarios.

Hepatic encephalopathy (HE) affects numerous stakeholders from a clinical, psychosocial, and financial perspective. The multilayered impact of HE is threefold and affects different groups or, for the purpose of this commentary, villages. The first village mediates HE development, including genetics, microbiome, and disease severity. The second village consists of those affected by HE-related consequences, including the patient, caregivers, society, and medical system. The third village required to manage HE includes a multidisciplinary team of inpatient and outpatient providers, mental health experts, physical therapists, and dietary specialists. Understanding and integration of these three villages can encourage individualized care for patients and families affected by hepatic encephalopathy.

Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at admission, during hospitalization, and at discharge.We used the multicenter North American Consortium for the Study of End-Stage Liver Disease (NACSELD) cohort of cirrhotic inpatients who are followed up through 90-days postdischarge for readmission and death. We used statistical methods to select variables that are significant for readmission and death and trained 3 AI models, including logistic regression (LR), kernel support vector machine (SVM), and random forest classifiers (RFC), to predict readmission and death. We used the area under the receiver operating characteristic curve (AUC) from 10-fold crossvalidation for evaluation to compare sexes. Data were compared with model for end-stage liver disease (MELD) at discharge.We included 2,170 patients (57 ± 11 years, MELD 18 ± 7, 61% men, 79% White, and 8% Hispanic). The 30-day and 90-day readmission rates were 28% and 47%, respectively, and 13% died at 90 days. Prediction for 30-day readmission resulted in 0.60 AUC for all patients with RFC, 0.57 AUC with LR for women-only subpopulation, and 0.61 AUC with LR for men-only subpopulation. For 90-day readmission, the highest AUC was achieved with kernel SVM and RFC (AUC = 0.62). We observed higher predictive value when training models with only women (AUC = 0.68 LR) vs men (AUC = 0.62 kernel SVM). Prediction for death resulted in 0.67 AUC for all patients, 0.72 for women-only subpopulation, and 0.69 for men-only subpopulation, all with LR. MELD-Na model AUC was similar to those from the AI models.Despite using multiple AI techniques, it is difficult to predict 30- and 90-day readmissions and death in cirrhosis. AI model accuracies were equivalent to models generated using only MELD-Na scores. Additional biomarkers are needed to improve our predictive capability (See also the visual abstract at http://links.lww.com/AJG/B710).

INTRODUCTION Ammonia levels are used to assess hepatic encephalopathy, but their levels are highly variable in clinical practice. METHODS We studied factors associated with variation in ammonia values in cirrhotic patients without previous hepatic encephalopathy and healthy volunteers (HVs). RESULTS Ammonia increased by 12% and 18% at 1 and 2 hour, respectively, after a protein meal in 64 cirrhotic patients (P < 0.001). In 237 HVs, ammonia levels varied significantly between sites (P < 0.0001). New site-specific ammonia upper limits based on HV levels using a strict analysis protocol differed from routinely used values. Correlation between paired fresh samples was high (r = 0.83) but modest between fresh and frozen samples (r = 0.62). DISCUSSION Sample handling, processing, and protein intake impact ammonia levels across sites.

Minimal hepatic encephalopathy (MHE) is epidemic in cirrhosis, but testing strategies often have poor concordance. Altered gut/salivary microbiota occur in cirrhosis and could be related to MHE. Our aim was to determine microbial signatures of individual cognitive tests and define the role of microbiota in the diagnosis of MHE.Outpatients with cirrhosis underwent stool collection and MHE testing with psychometric hepatic encephalopathy score (PHES), inhibitory control test, and EncephalApp Stroop. A subset provided saliva samples. Minimal hepatic encephalopathy diagnosis/concordance between tests was compared. Stool/salivary microbiota were analyzed using 16srRNA sequencing. Microbial profiles were compared between patients with/without MHE on individual tests. Logistic regression was used to evaluate clinical and microbial predictors of MHE diagnosis.Two hundred forty-seven patients with cirrhosis (123 prior overt HE, MELD 13) underwent stool collection and PHES testing; 175 underwent inhibitory control test and 125 underwent Stroop testing. One hundred twelve patients also provided saliva samples. Depending on the modality, 59%-82% of patients had MHE. Intertest Kappa for MHE was 0.15-0.35. Stool and salivary microbiota profiles with MHE were different from those without MHE. Individual microbiota signatures were associated with MHE in specific modalities. However, the relative abundance of Lactobacillaceae in the stool and saliva samples was higher in MHE, regardless of the modality used, whereas autochthonous Lachnospiraceae were higher in those without MHE, especially on PHES. On logistic regression, stool and salivary Lachnospiraceae genera (Ruminococcus and Clostridium XIVb) were associated with good cognition independent of clinical variables.Specific stool and salivary microbial signatures exist for individual cognitive testing strategies in MHE. The presence of specific taxa associated with good cognitive function regardless of modality could potentially be used to circumvent MHE testing.

Hepatic encephalopathy is a state of brain dysfunction resulting from decompensation of cirrhosis. The mortality and morbidity associated with the overt form of hepatic encephalopathy are high, and even the covert form associates with poor outcomes and poor quality of life. We know that the dysfunction is not just an acute insult to the brain but rather results in long-standing cognitive issues that get worse with each episode of HE. Hence, there is an urgency to accurately diagnose these conditions, start appropriate therapy, and to maintain remission. Currently, we have two mainstay pharmacological treatment options (lactulose and rifaximin), but the narrative is evolving with new therapies under trial. Microbiome manipulation resulting in a favorable change to the gut microbiota seems to be a promising new area of therapy.

Cirrhosis is associated with gut microbial dysbiosis, high readmissions and proton pump inhibitor (PPI) overuse, which could be inter-linked. Our aim was to determine the effect of PPI use, initiation and withdrawl on gut microbiota and readmissions in cirrhosis. Four cohorts were enrolled. Readmissions study: Cirrhotic inpatients were followed throughout the hospitalization and 30/90-days post-discharge. PPI initiation, withdrawal/continuation patterns were analyzed between those with/without readmissions. Cross-sectional microbiota study: Cirrhotic outpatients and controls underwent stool microbiota analysis. Beneficial autochthonous and oral-origin taxa analysis vis-a-vis PPI use was performed. Longitudinal studies: Two cohorts of decompensated cirrhotic outpatients were enrolled. Patients on chronic unindicated PPI use were withdrawn for 14 days. Patients not on PPI were started on omeprazole for 14 days. Microbial analysis for oral-origin taxa was performed pre/post-intervention. Readmissions study: 343 inpatients (151 on admission PPI) were enrolled. 21 were withdrawn and 45 were initiated on PPI resulting in a PPI use increase of 21%. PPIs were associated with higher 30 (p = 0.002) and 90-day readmissions (p = 0.008) independent of comorbidities, medications, MELD and age. Cross-sectional microbiota: 137 cirrhotics (59 on PPI) and 45 controls (17 on PPI) were included. PPI users regardless of cirrhosis had higher oral-origin microbiota while cirrhotics on PPI had lower autochthonous taxa compared to the rest. Longitudinal studies: Fifteen decompensated cirrhotics tolerated omeprazole initiation with an increase in oral-origin microbial taxa compared to baseline. PPIs were withdrawn from an additional 15 outpatients, which resulted in a significant reduction of oral-origin taxa compared to baseline. PPIs modulate readmission risk and microbiota composition in cirrhosis, which responds to withdrawal. The systematic withdrawal and judicious use of PPIs is needed from a clinical and microbiological perspective in decompensated cirrhosis.

Hyponatremia is associated with poor outcomes in cirrhosis independent of MELD. While intravenous albumin has been used in small series, its role in hyponatremia is unclear. The aim of this study is to determine the effect of albumin therapy on hyponatremia.Hospitalized cirrhotic patients included in the NACSELD (North American Consortium for End-Stage Liver Disease) cohort with hyponatremia (Na130mmol/L) were divided into those receiving intravenous albumin or not. Determinants of hyponatremia resolution (Na ≥135 meq/L) and 30-day survival were analyzed using regression and ANCOVA models.Overall, 2435 patients, of whom 1126 had admission hyponatremia, were included. Of these, 777 received 225 (IQR 100,400) g of albumin, while 349 did not. Patients given albumin had a higher admission MELD score, and serum creatinine and lower admission Na and mean arterial pressure (MAP). However they experienced a higher maximum Na and hyponatremia resolution (69% vs 61%, p = 0.008) compared to those who did not. On regression, delta Na was independently associated with admission creatinine, MAP and albumin use. On ANCOVA with logistic regression, there was a significant difference in hyponatremia resolution between those who did or did not receive albumin, even after adjustment for admission Na and GFR (85.41% vs 44.78%, p = 0.0057, OR: 1.50 95% CI: 1.13-2.00). Independent predictors of 30-day survival were hyponatremia resolution, age, ACLF, and admission GFR.Hospitalized patients with cirrhosis and hyponatremia who received intravenous albumin had a higher rate of hyponatremia resolution independent of renal function and baseline sodium levels, which was in turn associated with a better 30-day survival.

Despite the associated adverse outcomes, pharmacologic intervention for covert hepatic encephalopathy (CHE) is not the standard of care. We hypothesized that a video game-based rehabilitation program would improve white matter integrity and brain connectivity in the visuospatial network on brain magnetic resonance imaging (MRI), resulting in improved cognitive function in CHE subjects on measures consistent with the cognitive skill set emphasized by the two video games (e.g., IQ Boost-visual working memory, and Aim and Fire Challenge-psychomotor speed), but also generalize to thinking skills beyond the focus of the cognitive training (Hopkins verbal learning test (HVLT)-verbal learning/memory) and improve their health-related quality of life (HRQOL). The trial included three phases over 8 weeks; during the learning phase (cognitive tests administered twice over 2 weeks without intervening intervention), training phase (daily video game training for 4 weeks), and post-training phase (testing 2 weeks after the video game training ended). Thirty CHE patients completed all visits with significant daily achievement on the video games. In a subset of 13 subjects that underwent brain MRI, there was a significant decrease in fractional anisotropy, and increased radial diffusivity (suggesting axonal sprouting or increased cross-fiber formation) involving similar brain regions (i.e., corpus callosum, internal capsule, and sections of the corticospinal tract) and improvement in the visuospatial resting-state connectivity corresponding to the video game training domains. No significant corresponding improvement in HRQOL or HVLT performance was noted, but cognitive performance did transiently improve on cognitive tests similar to the video games during training. Although multimodal brain imaging changes suggest reductions in tract edema and improved neural network connectivity, this trial of video game brain training did not improve the HRQOL or produce lasting improvement in cognitive function in patients with CHE.