Subjective and objective burden on providers from a multicenter app-based study of patients with cirrhosis and caregivers.

BACKGROUND: App-based technologies could enhance patient and caregiver communication and provide alerts that potentially reducing readmissions. However, the burden of App alerts needs to be optimized to reduce provider burnout. AIM: The purpose of this study was to determine subjective and objective burden of using the Patient Buddy App, a health information technology (HIT) on providers in a randomized multicenter trial, who completed a semi-quantitative Likert scale survey regarding training procedures, data and privacy concerns, follow-up details, and technical support. This randomized multicenter trial recruits cirrhosis inpatients and their caregivers, and randomizes them into standard-of-care, HIT (communication only via App) and HIT+visits (App+phone calls/visits) for 30 days after discharge. The alerts are monitored by providers through a central iPad. The reason(s) and number of alerts were recorded as the objective burden. A total of 1442 messages were sent as alerts from the 103 dyads (patient + caregiver) (n=206) randomized to HIT arms. The most common messages related to Hepatic Encephalopathy (HE) (high or low bowel movement=50% or orientation tests=37%). Twelve providers completed the surveys reflecting the following themes-92% and 100%, felt adequately trained and confident about educating the patients and caregivers before roll out of App and had no concerns related to data and privacy; 70%, felt that appropriate time was spent on pursuing reason for data not being logged; 60% each, had issues with availability of adequate technical support and connectivity. CONCLUSION: The Patient Buddy App randomized multicenter trial till date shows an overall favorable rating regarding training procedures/education, privacy concerns, and ease of message follow-up, from providers. However, it is important to gauge and address subjective and objective burdens of monitoring human resources in current and future HIT studies to avoid burnout and to ensure successful study completion.

QuickStroop, a Shortened Version of EncephalApp, Detects Covert Hepatic Encephalopathy With Similar Accuracy Within One Minute.

BACKGROUND & AIMS: Covert hepatic encephalopathy (CHE) is associated with poor outcomes but is often not diagnosed because of the time requirement. Psychometric hepatic encephalopathy score (PHES) is the gold standard against which EncephalApp Stroop has been validated. However, EncephalApp (5 runs each in "Off" and "On" state) can take up to 10 minutes. This study sought to define the smallest number of EncephalApp runs needed for comparable accuracy to the total EncephalApp using CHE on PHES as gold standard. METHODS: A derivation and a validation cohort of outpatients with cirrhosis who underwent PHES (gold standard) and total EncephalApp was recruited. Data were analyzed for individual runs versus total EncephalApp time versus PHES-CHE. The derivation cohort (n = 398) was split into training (n = 299) and test (n = 99) sets. From the training data set a regression model was created with age, gender, education, and various sums of the "Off" settings. After this, a K-fold cross-validation on the test dataset was performed for both total EncephalApp time and individual Off runs and for the validation cohort. RESULTS: In both cohorts, Off runs 1 + 2 had statistically similar area under the receiver operating curve and P value to the total EncephalApp for PHES-CHE prediction. The adjusted (age, gender, education) regression formula from the derivation cohort showed an accuracy of 84% to diagnose PHES-CHE in the validation cohort. Time for CHE diagnosis decreased from 203.7 (67.82) to 36.8 (11.25) seconds in the derivation and from 178.2 (46.19) to 32.9 (9.94) seconds in the validation cohort. CONCLUSIONS: QuickStroop, which is completed within 1 minute, gives an equivalent ability to predict CHE on the gold standard compared with the entire EncephalApp time.

Admission Serum Metabolites and Thyroxine Predict Advanced Hepatic Encephalopathy in a Multicenter Inpatient Cirrhosis Cohort.

BACKGROUND & AIMS: Grades 3 to 4 hepatic encephalopathy (advanced HE), also termed brain failure, is an organ failure that defines acute-on-chronic liver failure. It is associated with poor outcomes in cirrhosis but cannot be predicted accurately. We aimed to determine the admission metabolomic biomarkers able to predict the development of advanced HE with subsequent validation. METHODS: Prospective inpatient cirrhosis cohorts (multicenter and 2-center validation) without brain failure underwent admission serum collection and inpatient follow-up evaluation. Serum metabolomics were analyzed to predict brain failure on random forest analysis and logistic regression. A separate validation cohort also was recruited. RESULTS: The multicenter cohort included 602 patients, of whom 144 developed brain failure (105 only brain failure) 3 days after admission. Unadjusted random forest analysis showed that higher admission microbially derived metabolites and lower isoleucine, thyroxine, and lysophospholipids were associated with brain failure development (area under the curve, 0.87 all; 0.90 brain failure only). Logistic regression area under the curve with only clinical variables significantly improved with metabolites (95% CI 0.65-0.75; P = .005). Four metabolites that significantly added to brain failure prediction were low thyroxine and maltose and high methyl-4-hydroxybenzoate sulfate and 3-4 dihydroxy butyrate. Thyroxine alone also significantly added to the model (P = .05). The validation cohort including 81 prospectively enrolled patients, of whom 11 developed brain failure. Admission hospital laboratory thyroxine levels predicted brain failure development despite controlling for clinical variables with high specificity. CONCLUSIONS: In a multicenter inpatient cohort, admission serum metabolites, including thyroxine, predicted advanced HE development independent of clinical factors. Admission low local laboratory thyroxine levels were validated as a predictor of advanced HE development in a separate cohort.

Substance-use simulation impairs driving capability in patients with cirrhosis regardless of hepatic encephalopathy.

Driving is independently affected by cirrhosis and hepatic encephalopathy (HE) and alcohol/substance use, but their concomitant impact is unclear. We aimed to determine the impact of alcohol and other substances on driving-simulator performance in cirrhosis with and without HE. Outpatients with cirrhosis and controls underwent cognitive testing and driving simulation for the following three conditions: baseline, wearing goggles simulating alcohol intoxication, and wearing goggles simulating opioid/benzodiazepine abuse. Outcomes were number of centerline crossings (CCs) and road-edge excursions (REEs). We compared controls versus patients with cirrhosis then subjects with cirrhosis with and without HE for all conditions, using generalized linear modeling (GLM). Sixty subjects (17 controls, 43 with cirrhosis [Model for End-Stage Liver Disease score, 10; 21 subjects with prior HE]) were included. Simulations showed higher CCs and REEs at baseline in patients with cirrhosis with and without HE versus controls. With alcohol- and substance abuse-impairment goggles, CCs increased but REEs decreased in cirrhosis. In the GLM, a time and group interaction was seen (p < 0.001) for CCs and REEs. Patients with cirrhosis showed higher CCs and REEs at baseline than controls (CCs, p = 0.003; REEs, p = 0.0001) and higher CCs (p = 0.03) and lower REEs (p = 0.001) with alcohol-simulating goggles. All groups were equally impaired with opioid/benzodiazepine-simulating goggles (CCs, p = 0.49; REEs, p = 0.46). Controls with alcohol-simulating goggles had similar CCs as the baseline of patients with cirrhosis (p = 0.98). conclusions: Simulating alcohol intake induces greater driving impairment in patients with cirrhosis versus controls, but similar patterns were seen with opioid/benzodiazepine-simulating goggles. At baseline, patients with cirrhosis have simulator outcomes equivalent to intoxicated controls. Driving simulation with goggles modeling substance abuse could improve insight into driving errors and enhance driving rehabilitation in patients with cirrhosis.

Area Deprivation Index and Gut-Brain Axis in Cirrhosis.

INTRODUCTION: Neighborhood deprivation has been associated with chronic diseases and with gut microbial alterations. Although cirrhosis is associated with gut microbiome changes and hepatic encephalopathy (HE), their association is unclear. METHODS: Demographics and cirrhosis details (model for end-stage liver disease [MELD], prior HE, and medications) were recorded from outpatients with cirrhosis. Area deprivation index (ADI), which ranks neighborhoods by socioeconomic disadvantage, was recorded as state decile and national percentile (high = worse for both) and dichotomized on the median. Patients underwent cognitive testing to diagnose minimal HE (MHE). Stool microbiota was analyzed using 16S ribosomal RNA for α/ß-diversity. Multivariable analysis was used to evaluate the factors independently associated with MHE. RESULTS: A total of 321 people with cirrhosis (60 years, 78% men, 75% non-Hispanic White, 24% non-Hispanic African American, 4% Hispanic) were included. 45% had prior HE and 56% MHE. For ADI, the national percentile was 49.1 ± 21.8 while the state decile was 6.1 ± 2.3. ADI was not associated with race, ethnicity, MELD, or HE-related variables on regression. Regarding microbiota, α-diversity was lower in MHE and prior HE patients but similar across ADI rankings. Low vs high ADIs were associated with different ß-diversity in univariable but not multivariable analyses. Multivariable analyses showed positive associations with MELD, prior HE, and lactate producers ( Lactobacillus and Lacticaseibacillus ) and negative associations with short-chain fatty acid producers ( Blautia , Lachnoclostridium , and Anaerobutyricum ) with MHE. DISCUSSION: Cirrhosis-related variables may be more influential in determining gut microbiome composition and cognitive impairment than ADI. Therefore, the focus should be on improving cirrhosis care, regardless of ADI, but studies evaluating other measures of social determinants are needed in cirrhosis.

Impact of bacterial infections and spontaneous bacterial peritonitis prophylaxis on phage-bacterial dynamics in cirrhosis.

BACKGROUND AND AIMS: Gut microbiota, including bacteria and phages, are altered in cirrhosis, but their role during infections and spontaneous bacterial peritonitis (SBP) prophylaxis is unclear. Our aim was determine metagenomic changes in gut bacteria; phages and their linkages centered around Gram-negative and Gram-positive pathobionts in patients with cirrhosis with/without infections or SBP prophylaxis. APPROACH AND RESULTS: We included uninfected (n = 231) and infected (n = 30, SBP n = 19 and urinary tract infection n = 11 before antibiotics) patients who gave stool for bacterial and phage metagenomics. We matched uninfected to infected patients 1:1 on a model for end-stage liver disease (MELD). We also analyzed subgroups of patients with ascites matched on an MELD (n = 73) to patients on SBP prophylaxis (n = 7) and then to SBP infection. Phage and bacterial taxa differences (DESeq2) and correlation networks centered around Escherichia coli and Enterococcus faecium were analyzed. Infections were mostly due to Enterobacteriaceae and Enterococcus spp. On metagenomics, higher fold changes of Enterobacteriaceae members, Enterococcus and Streptococcus spp., and Escherichia phages were seen in infected patients. Correlation networks showed more complex bacteria-phage linkages in infected patients compared with uninfected ones overall and centered around E. coli and E. faecium. SBP prophylaxis induced higher Gram-positive bacteria. In SBP, Enterococcus and Escherichia were higher versus ascites. Correlation networks around E. coli were complex in ascites but sparse with SBP prophylaxis, whereas the reverse was seen with E. faecium. Lytic phages and those associated with antibiotic resistance were correlated with E. faecium. CONCLUSION: In cirrhosis, there are significant changes in phage-bacterial linkages in infected patients and those on SBP prophylaxis compared to the remaining patients. SBP prophylaxis enriches complexity of E. faecium-centered but induces a collapse in E. coli-centered phage-bacterial correlations.

Stool microbiota show greater linkages with plasma metabolites compared to salivary microbiota in a multinational cirrhosis cohort.

BACKGROUND AND AIMS: Cirrhosis is associated with changes in gut microbiota in both saliva and stool. The relative linkage patterns of stool versus saliva microbiota with systemic metabolomics are unclear and may differ across countries. We hypothesized that stool microbiota have greater linkages with plasma metabolites than saliva microbiota, which may depend on country of origin. METHODS: Age-balanced controls and outpatient patients with cirrhosis, compensated and decompensated, from the USA and Mexico (MX) underwent plasma collection and dietary recall. Plasma metabolomics were analysed using nuclear magnetic resonance spectroscopy. Microbiota in stool and saliva samples were analysed using 16S rRNA analyses. Correlation network differences between both saliva and stool gut microbiota and plasma metabolites were compared between subject groupings and within/between countries. RESULTS: A total of 313 age-balanced subjects-135 USA (47 control, 48 compensated and 40 decompensated) and 178 MX (71 control, 56 compensated and 51 decompensated)-were enrolled. Cirrhosis severity, including lactulose and rifaximin use, were comparable. Plasma metabolites differed with advancing cirrhosis, between countries and according to 90-day hospitalizations. Correlation networks demonstrated more microbiome-metabolite linkages in stool compared to saliva in both populations, although there were no salivary correlation metrics across decompensated subjects in either country. Stool Lactobacillus showed a positive correlation to plasma lactate in decompensated cirrhosis from MX but not USA. CONCLUSIONS: Stool microbiota were more extensively linked with systemic metabolites than were saliva microbiota, irrespective of cirrhosis severity and country. These changes were more prominent in decompensated cirrhosis and were centred around plasma lactate, which might reflect the interaction of diet and lactulose therapy.

Interaction of Microbiome, Diet, and Hospitalizations Between Brazilian and American Patients With Cirrhosis.

BACKGROUND & AIMS: Gut microbiota are affected by diet, country, and affect outcomes in cirrhosis. Western diets are associated with dysbiosis. Comparisons with other diets is needed. We aimed to compare cirrhosis patients from the United States with cirrhosis patients from Brazil with respect to diet, microbiota, and impact on hospitalizations. METHODS: Healthy controls and compensated/decompensated outpatients with cirrhosis from the United States and Brazil underwent dietary recall and stool for 16S ribosomal RNA sequencing. Demographics and medications/cirrhosis details were compared within and between countries. Patients with cirrhosis were followed up for 90-day hospitalizations. Regression for Shannon diversity was performed within cirrhosis. Regression for hospitalizations adjusting for clinical and microbial variables was performed. RESULTS: Model for end-stage liver disease (MELD), diabetes, ascites, and albumin were similar, but more Americans were men, had higher hepatic encephalopathy and alcohol/hepatitis C etiology, with lower nonalcoholic fatty liver disease than Brazilians. Brazilians had higher cereal, rice, and yogurt intake vs the United States. As disease progressed, cereals, rice/beans, coffee, and chocolate consumption was reduced. Microbial diversity was higher in Brazilians. Within cirrhosis, high diversity was related to Brazilian origin (P < .0001), age, and cereal intake (P = .05), while high MELD scores (P = .009) and ascites (P = .05) did the reverse. Regardless of stage, beneficial taxa and taxa associated with grant and yogurt intake were higher (Ruminococcaceae, Christensenellacae, and Prevotellaceae), while pathobionts (Porphyromonadaceae, Sutterellaceae, and Enterobacteriaceae) were lower in Brazilians. More Americans were hospitalized vs Brazilians (P = .002). On regression, MELD (P = .001) and ascites (P = .001) were associated with higher hospitalizations, while chocolate (P = .03) and Brazilian origin (P = .001) were associated with lower hospitalizations with/without microbiota inclusion. CONCLUSIONS: Brazilian cirrhotic patients follow a diet richer in cereals and yogurt, which is associated with higher microbial diversity and beneficial microbiota and could contribute toward lower hospitalizations compared with a Western-diet-consuming American cohort.

Stool microbiota are superior to saliva in distinguishing cirrhosis and hepatic encephalopathy using machine learning.

BACKGROUND & AIMS: Saliva and stool microbiota are altered in cirrhosis. Since stool is logistically difficult to collect compared to saliva, it is important to determine their relative diagnostic and prognostic capabilities. We aimed to determine the ability of stool vs. saliva microbiota to differentiate between groups based on disease severity using machine learning (ML). METHODS: Controls and outpatients with cirrhosis underwent saliva and stool microbiome analysis. Controls vs. cirrhosis and within cirrhosis (based on hepatic encephalopathy [HE], proton pump inhibitor [PPI] and rifaximin use) were classified using 4 ML techniques (random forest [RF], support vector machine, logistic regression, and gradient boosting) with AUC comparisons for stool, saliva or both sample types. Individual microbial contributions were computed using feature importance of RF and Shapley additive explanations. Finally, thresholds for including microbiota were varied between 2.5% and 10%, and core microbiome (DESeq2) analysis was performed. RESULTS: Two hundred and sixty-nine participants, including 87 controls and 182 patients with cirrhosis, of whom 57 had HE, 78 were on PPIs and 29 on rifaximin were included. Regardless of the ML model, stool microbiota had a significantly higher AUC in differentiating groups vs. saliva. Regarding individual microbiota: autochthonous taxa drove the difference between controls vs. patients with cirrhosis, oral-origin microbiota the difference between PPI users/non-users, and pathobionts and autochthonous taxa the difference between rifaximin users/non-users and patients with/without HE. These were consistent with the core microbiome analysis results. CONCLUSIONS: On ML analysis, stool microbiota composition is significantly more informative in differentiating between controls and patients with cirrhosis, and those with varying cirrhosis severity, compared to saliva. Despite logistic challenges, stool should be preferred over saliva for microbiome analysis. LAY SUMMARY: Since it is harder to collect stool than saliva, we wanted to test whether microbes from saliva were better than stool in differentiating between healthy people and those with cirrhosis and, among those with cirrhosis, those with more severe disease. Using machine learning, we found that microbes in stool were more accurate than saliva alone or in combination, therefore, stool should be preferred for analysis and collection wherever possible.

Multiple bacterial virulence factors focused on adherence and biofilm formation associate with outcomes in cirrhosis.

BACKGROUND & AIMS: Altered gut microbiota is associated with poor outcomes in cirrhosis, including infections and hepatic encephalopathy (HE). However, the role of bacterial virulence factors (VFs) is unclear. Aim: Define association of VFs with cirrhosis severity and infections, their linkage with outcomes, and impact of fecal microbiota transplant (FMT). METHODS: VF abundances were determined using metagenomic analysis in stools from controls and cirrhosis patients (compensated, HE-only, ascites-only, both and infected). Patients were followed for 90-day hospitalizations and 1-year death. Stool samples collected before/after a placebo-controlled FMT trial were also analyzed. Bacterial species and VFs for all species and selected pathogens (Escherichia, Klebsiella, Pseudomonas, Staphylococcus, Streptococcus, and Enterococcus spp) were compared between groups. Multi-variable analyses were performed for clinical biomarkers and VFs for outcome prediction. Changes in VFs pre/post-FMT and post-FMT/placebo were analyzed. Results: We included 233 subjects (40 controls, 43 compensated, 30 HE-only, 20 ascites-only, 70 both, and 30 infected). Decompensated patients, especially those with infections, had higher VFs coding for siderophores, biofilms, and adhesion factors versus the rest. Biofilm and adhesion VFs from Enterobacteriaceae and Enterococcus spp associated with death and hospitalizations independent of clinical factors regardless of when all VFs or selected pathogens were analyzed. FMT was associated with reduced VF post-FMT versus pre-FMT and post-placebo groups. CONCLUSIONS: Virulence factors from multiple species focused on adhesion and biofilms increased with decompensation and infections, associated with death and hospitalizations independent of clinical factors, and were attenuated with FMT. Strategies focused on targeting multiple virulence factors could potentially impact outcomes in cirrhosis. PRESENTATIONS: Portions of this manuscript were an oral presentation in the virtual International Liver Congress 2021. ABBREVIATIONS: VF: virulence factors, HE: hepatic encephalopathy, FMT: Fecal microbiota transplant, PPI: proton pump inhibitors, LPS: lipopolysaccharides, VFDB: Virulence factor database, OTU: operational taxonomic units, SBP: spontaneous bacterial peritonitis, UTI: urinary tract infections, MRSA: methicillin resistant Staphylococcus aureus, VRE: vancomycin-resistant Enterococcus, MAAsLin2: Microbiome Multivariable Associations with Linear Models, LPS: lipopolysaccharides, AKI: acute kidney injury.

Distinct gut microbial compositional and functional changes associated with impaired inhibitory control in patients with cirrhosis.

Most cirrhosis etiologies, such as alcohol, hepatitis C, and obesity, involve behavior that require the loss of inhibitory control. Once cirrhosis develops, patients can also develop cognitive impairment due to minimal hepatic encephalopathy (MHE). Both processes could have distinct imprints on the gut-liver-brain axis. Determine the impact of inhibitory control versus traditional cirrhosis-related cognitive performance on gut microbial composition and function. Outpatients with cirrhosis underwent two tests for MHE: inhibitory control test (MHEICT, computerized associated with response inhibition) and psychometric hepatic encephalopathy score (MHEPHES, paper-pencil HE-specific associated with subcortical impairment) along with stool collection for metagenomics. MHEICT/not, MHEPHES/not, and discordant (positive on one test but negative on the other) were analyzed for demographics, bacterial species, and gut-brain modules (GBM) using multi-variable analyses. Ninety-seven patients [47 (49%) MHEPHES, 76 (78%) MHEICT, 41 discordant] were enrolled. MHEPHES/not: Cirrhosis severity was worse in MHEPHES without differences in alpha/beta diversity on bacterial species or GBMs. Pathobionts (Enterobacteriaceae) and γ-amino-butryic acid (GABA) synthesis GBM were higher in MHEPHES. MHEICT/not: We found similar cirrhosis severity and metagenomic alpha/beta diversity in MHEICT versus not. However, alpha/beta diversity of GBMs were different in MHEICT versus No-MHE patients. Alistipes ihumii, Prevotella copri, and Eubacterium spp. were higher, while Enterococcus spp. were uniquely lower in MHEICT versus no-MHE and discordant comparisons. GBMs belonging to tryptophan, menaquinone, GABA, glutamate, and short-chain fatty acid synthesis were also unique to MHEICT. Gut microbial signature of impaired inhibitory control, which is associated with addictive disorders that can lead to cirrhosis, is distinct from cirrhosis-related cognitive impairment.

Liver-Unrelated Comorbid Conditions Do Not Affect Cognitive Performance or Hepatic Encephalopathy Progression in Cirrhosis.

INTRODUCTION: We aimed to determine the effect of comorbidities on covert hepatic encephalopathy (CHE) diagnosis and overt hepatic encephalopathy (OHE) development. METHODS: Cirrhotic outpatients underwent CHE testing and 2-year follow-up. Cox regression was performed for time to OHE. In total, 700 patients (60 years, 84% men, model for end-stage liver disease 11) and 33% prior OHE underwent testing and follow-up. RESULTS: Major comorbidities were hypertension (54%), diabetes (35%), and depression (29%). Common medications were proton pump inhibitor (49%), beta-blockers (32%), and opioids (21%). Approximately 90 (40%) prior-OHE patients developed recurrence 93 (30,206) days post-testing predicted only by liverrelated variables. DISCUSSION: Demographics, cirrhosis characteristics, and opioid use, but not other comorbid conditions, were associated with CHE diagnosis and OHE progression.

Impact of Antibiotic Resistance Genes in Gut Microbiome of Patients With Cirrhosis.

BACKGROUND AND AIMS: Cirrhosis is associated with changes in intestinal microbiota that can lead to hepatic encephalopathy (HE) and infections, especially with antibiotic-resistant organisms. However, the impact of gut microbial antibiotic resistance gene (ARG) burden on clinical outcomes is unclear. The aims of the study were to determine the impact of ARGs in cirrhosis-related gut metagenome on outcomes and disease progression, study the effect of rifaximin on ARG burden, and compare ARGs in cirrhosis with chronic kidney disease (CKD) and diabetes. METHODS: In outpatients with cirrhosis who underwent metagenomics, we evaluated change in ARG abundances with progression and their multivariable impact on 90-day hospitalizations and deaths over 1 year. We also studied ARGs pre- and 8 weeks post-rifaximin in patients with compensated cirrhosis in an open-label trial. Finally, ARGs from CKD and diabetes studies were compared with cirrhosis on machine learning. RESULTS: A total of 163 patients with cirrhosis (43 compensated, 20 ascites-only, 30 HE-only, 70 both) and 40 controls were included. ARG abundances were higher in cirrhosis versus controls and worsened with advancing cirrhosis severity; 44 patients were hospitalized and 14 died. ARG abundances were associated with hospitalizations and mortality while controlling for cirrhosis complications, medications, and demographics. Rifaximin trial: ARG abundance patterns were minimally affected in 19 patients post-rifaximin. CKD/diabetes comparison: ARG abundance patterns in cirrhosis are distinguishable on machine learning and include more gram-positive ARGs. CONCLUSIONS: Cirrhosis is associated with high gut microbial ARG gene burden compared with controls, which worsens with disease progression and may be different from CKD and diabetes. ARGs are not affected by rifaximin and are associated with hospitalizations and death.

Perspectives of Inpatients With Cirrhosis and Caregivers on Using Health Information Technology: Cross-sectional Multicenter Study.

BACKGROUND: Health information technology (IT) interventions to decrease readmissions for cirrhosis may be limited by patient-associated factors. OBJECTIVE: The aim of this study was to determine perspectives regarding adoption versus refusal of health IT interventions among patient-caregiver dyads. METHODS: Inpatients with cirrhosis and their caregivers were approached to participate in a randomized health IT intervention trial requiring daily contact with research teams via the Patient Buddy app. This app focuses on ascites, medications, and hepatic encephalopathy over 30 days. Regression analyses for characteristics associated with acceptance were performed. For those who declined, a semistructured interview was performed with themes focused on caregivers, protocol, transport/logistics, technology demands, and privacy. RESULTS: A total of 349 patient-caregiver dyads were approached (191 from Virginia Commonwealth University, 56 from Richmond Veterans Affairs Medical Center, and 102 from Mayo Clinic), 87 of which (25%) agreed to participate. On regression, dyads agreeing included a male patient (odds ratio [OR] 2.08, P=.01), gastrointestinal bleeding (OR 2.3, P=.006), or hepatic encephalopathy admission (OR 2.0, P=.01), whereas opioid use (OR 0.46, P=.03) and alcohol-related etiology (OR 0.54, P=.02) were associated with refusal. Race, study site, and other admission reasons did not contribute to refusing participation. Among the 262 dyads who declined randomization, caregiver reluctance (43%), perceived burden (31%), technology-related issues (14%), transportation/logistics (10%), and others (4%), but not privacy, were highlighted as major concerns. CONCLUSIONS: Patients with cirrhosis admitted with hepatic encephalopathy and gastrointestinal bleeding without opioid use or alcohol-related etiologies were more likely to participate in a health IT intervention focused on preventing readmissions. Caregiver and study burden but not privacy were major reasons to decline participation. Reducing perceived patient-caregiver burden and improving communication may improve participation. TRIAL REGISTRATION: ClinicalTrials.gov NCT03564626; https://www.clinicaltrials.gov/ct2/show/NCT03564626.

Gut Microbial Signature of Hepatocellular Cancer in Men With Cirrhosis.

The gut microbiome is altered in cirrhosis. Recent evidence has suggested a key role for the gut microbiota in the progression of cirrhosis and the development of hepatocellular carcinoma (HCC). We studied the differences in the microbial composition in patients with cirrhosis with prior and future HCC in the context of other complications (eg, infections, hepatic encephalopathy). The following 2 cohorts were recruited prospectively: the prior HCC cohort, in which outpatients with HCC within 2 years were age-matched, sex-matched, and Model for End-Stage Liver Disease (MELD) score-matched with those without HCC; and the future HCC cohort, in which patients were followed for 2 years and divided into future HCC versus no HCC after age, sex, and MELD-score matching and other complications were also recorded. Microbiota composition and predicted function were analyzed with ribosomal RNA sequencing and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PiCRUST)and compared between (1) prior HCC versus none and (2) future HCC versus none, and in the future cohort, comparisons were also made between those patients who developed (1) HCC only versus without complications, (2) HCC only versus non-HCC complications only, and (3) HCC + other complications versus non-HCC complications only. A total of 142 men (76 total in the prior cohort [38 with/38 without HCC] and 66 total in the future cohort [33 with/33 without future HCC]) were included. The groups had similar etiology, lactulose/rifaximin/proton pump inhibitor use, diabetes mellitus, and non-HCC complications. Microbial diversity was similar between prior HCC/not or future HCC/not. On DESeq2 higher Clostridium sensu stricto and Anaerotruncus were significantly associated with protection from HCC, whereas the reverse was seen with Raoultella and Haemophilus regardless of prior/future HCC comparisons. Functions focused on urea cycle, bioenergetics, tryptophan, and toluene metabolism were different between the groups. Rothia was specific for other complications. Despite age, sex, and MELD-score matching and accounting for other complications, gut microbiota composition and the predicted function are different in men with cirrhosis with and without prior HCC and can be extended toward future HCC development.

Comparison of mortality risk in patients with cirrhosis and COVID-19 compared with patients with cirrhosis alone and COVID-19 alone: multicentre matched cohort.

OBJECTIVE: Comorbid conditions are associated with poor prognosis in COVID-19. Registry data show that patients with cirrhosis may be at high risk. However, outcome comparisons among patients with cirrhosis+COVID-19 versus patients with COVID-19 alone and cirrhosis alone are lacking. The aim of this study was to perform these comparisons. DESIGN: A multicentre study of inpatients with cirrhosis+COVID-19 compared with age/gender-matched patients with COVID-19 alone and cirrhosis alone was performed. COVID-19 and cirrhosis characteristics, development of organ failures and acute-on-chronic liver failure (ACLF) and mortality (inpatient death+hospice) were compared. RESULTS: 37 patients with cirrhosis+COVID-19 were matched with 108 patients with COVID-19 and 127 patients with cirrhosis from seven sites. Race/ethnicity were similar. Patients with cirrhosis+COVID-19 had higher mortality compared with patients with COVID-19 (30% vs 13%, p=0.03) but not between patients with cirrhosis+COVID-19 and patients with cirrhosis (30% vs 20%, p=0.16). Patients with cirrhosis+COVID-19 versus patients with COVID-19 alone had equivalent respiratory symptoms, chest findings and rates of intensive care unit transfer and ventilation. However, patients with cirrhosis+COVID-19 had worse Charlson Comorbidity Index (CCI 6.5±3.1 vs 3.3±2.5, p<0.001), lower presenting GI symptoms and higher lactate. Patients with cirrhosis alone had higher cirrhosis-related complications, maximum model for end-stage liver disease (MELD) score and lower BiPAP/ventilation requirement compared with patients with cirrhosis+COVID-19, but CCI and ACLF rates were similar. In the entire group, CCI (OR 1.23, 95% CI 1.11 to 1.37, p<0.0001) was the only variable predictive of mortality on multivariable regression. CONCLUSIONS: In this multicentre North American contemporaneously enrolled study, age/gender-matched patients with cirrhosis+COVID-19 had similar mortality compared with patients with cirrhosis alone but higher than patients with COVID-19 alone. CCI was the only independent mortality predictor in the entire matched cohort.