Thuluvath, Paul J.

Refractory ascites often requires therapeutic paracentesis, which is associated with potential risks and diminished quality of life. Terlipressin is a vasopressin analog that is indicated for i.v. bolus injection for hepatorenal syndrome, with the potential to reduce large-volume ascites and its complications. Continuous infusion of terlipressin is associated with fewer adverse effects than bolus dosing. The efficacy and safety of continuous infusion of a novel liquid formulation of terlipressin acetate (BIV201) were evaluated in this open-label phase 2 study. Patients with cirrhosis and refractory ascites were randomly assigned (2:1) to receive two 28-day cycles of continuous infusion BIV201 plus standard of care (SOC) separated by a ≤56-day washout (n=10), or SOC alone (n=5). Data analysis was limited by the small sample size and confounded by a potential interaction with gabapentinoids in the BIV201+SOC group. Nonetheless, there were differences in favor of BIV201+SOC versus SOC in the coprimary efficacy endpoints and several quality of life assessments. The beneficial effects of BIV201 on liver complications (mean: 90% CI; BIV201-completers=2.87: 1.51; 5.46 vs. SOC=2.38: 1.20; 4.73) and the change in cumulative ascites (mean: 90% CI; BIV201-completers=−10.76: −26.51; 5.00 vs. SOC=−4.99: −21.95; 11.97) were more pronounced versus SOC in the 5 BIV201+SOC patients who completed both treatment cycles. There were also greater improvements in exploratory quality of life assessments and the percent change in therapeutic paracenteses with BIV201+SOC (−27.94±41.80) versus SOC (−16.67±45.64). Despite the high rate of hyponatremia in the BIV201+SOC group (4/10 patients), the safety profile suggested that continuous BIV201 infusion was well tolerated. These findings support further development of BIV201 in confirmatory trials.

INTRODUCTION: Hospitalized patients with cirrhosis can develop respiratory failure (RF), which is associated with a poor prognosis, but predisposing factors are unclear. METHODS: We prospectively enrolled a multicenter North American cirrhosis inpatient cohort and collected admission and in-hospital data (grading per European Association for the Study of Liver-Chronic Liver Failure scoring system, acute kidney injury [AKI], infections [admission/nosocomial], and albumin use) in an era when terlipressin was not available in North America. Multivariable regression to predict RF was performed using only admission day and in-hospital events occurring before RF. RESULTS: A total of 511 patients from 14 sites (median age 57 years, admission model for end-stage liver disease [MELD]-Na 23) were enrolled: RF developed in 15%; AKI occurred in 24%; and 11% developed nosocomial infections (NI). At admission, patients who developed RF had higher MELD-Na, gastrointestinal (GI) bleeding/AKI-related admission, and prior infections/ascites. During hospitalization, RF developers had higher NI (especially respiratory), albumin use, and other organ failures. RF was higher in patients receiving albumin (83% vs 59%, P < 0.0001) with increasing doses (269.5 ± 210.5 vs 208.6 ± 186.1 g, P = 0.01) regardless of indication. Admission for AKI, GI bleeding, and high MELD-Na predicted RF. Using all variables, NI (odds ratio [OR] = 4.02, P = 0.0004), GI bleeding (OR = 3.1, P = 0.002), albumin use (OR = 2.93, P = 0.01), AKI (OR = 3.26, P = 0.008), and circulatory failure (OR = 3.73, P = 0.002) were associated with RF risk. DISCUSSION: In a multicenter inpatient cirrhosis study of patients not exposed to terlipressin, 15% of patients developed RF. RF risk was highest in those admitted with AKI, those who had GI bleeding on admission, and those who developed NI and other organ failures or received albumin during their hospital course. Careful volume monitoring and preventing nosocomial respiratory infections and renal or circulatory failures could reduce this risk.

Abstract Cirrhosis is complicated by a high rate of nosocomial infections (NIs), which result in poor outcomes and are challenging to predict using clinical variables alone. Our aim was to determine predictors of NI using admission serum metabolomics and gut microbiota in inpatients with cirrhosis. In this multicenter inpatient cirrhosis study, serum was collected on admission for liquid chromatography–mass spectrometry metabolomics, and a subset provided stool for 16SrRNA analysis. Hospital course, including NI development and death, were analyzed. Metabolomic analysis using analysis of covariance (ANCOVA) (demographics, Model for End‐Stage Liver Disease [MELD] admission score, white blood count [WBC], rifaximin, and infection status adjusted) and random forest analyses for NI development were performed. Additional values of serum metabolites over clinical variables toward NI were evaluated using logistic regression. Stool microbiota and metabolomic correlations were compared in patients with and without NI development. A total of 602 patients (231 infection admissions) were included; 101 (17%) developed NIs, which resulted in worse inpatient outcomes, including intensive care unit transfer, organ failure, and death. A total of 127 patients also gave stool samples, and 20 of these patients developed NIs. The most common NIs were spontaneous bacterial peritonitis followed by urinary tract infection, Clostridioides difficile, and pneumonia. A total of 247 metabolites were significantly altered on ANCOVA. Higher MELD scores (odds ratio, 1.05; p < 0.0001), admission infection (odds ratio, 3.54; p < 0.0001), and admission WBC (odds ratio, 1.05; p = 0.04) predicted NI (area under the curve, 0.74), which increased to 0.77 (p = 0.05) with lower 1‐linolenoyl‐glycerolphosphocholine (GPC) and 1‐stearoyl‐GPC and higher N‐acetyltryptophan and N‐acetyl isoputreanine. Commensal microbiota were lower and pathobionts were higher in those who developed NIs. Microbial–metabolite correlation networks were complex and dense in patients with NIs, especially sub‐networks centered on Ruminococcaceae and Pseudomonadaceae. NIs are common and associated with poor outcomes in cirrhosis. Admission gut microbiota in patients with NIs showed higher pathobionts and lower commensal microbiota. Microbial–metabolomic correlations were more complex, dense, and homogeneous among those who developed NIs, indicating greater linkage strength. Serum metabolites and gut microbiota on admission are associated with NI development in cirrhosis.

AbstractBackgroundThe prognosis of acute kidney disease (AKD), defined as a glomerular filtration rate of <60 ml/min/1.73 m2 or a rise in serum creatinine (sCr) of <50% for <3 months, is not clearly known.AimTo study the prevalence, predictive factors and clinical outcomes in hospitalized cirrhotic patients with AKD.MethodsThe North American Consortium for the Study of End‐Stage Liver Disease prospectively enrolled hospitalized decompensated cirrhotic patients. Patients were separated into those with normal renal function (controls or C), AKD or stage 1 AKI as their worst renal dysfunction per International Club of Ascites definition and compared. Parameters assessed included demographics, laboratory data, haemodynamics, renal and patient outcomes.Results1244 patients with cirrhosis and ascites (C: 704 or 57%; AKD: 176 or 14%; stage 1 AKI: 364 or 29%) with similar demographics were enrolled. AKD patients had similar baseline sCr but higher hospital admission in the previous 6 months, and higher peak sCr, compared to controls, with their peak sCr being lower than that in stage 1 AKI patients (all P < .0001). The in‐hospital and 30‐day survival for AKD patients were intermediary between that for controls and stage 1 AKI patients (96% vs 91% vs 86%, P < .0001). The strongest predictors for AKD development while in hospital were the presence of a second infection (OR: 2.44) and diabetes (OR: 1.53).ConclusionsPatients with AKD had intermediate outcomes between stage 1 AKI and controls. AKD patients, especially those with diabetes and a second infection, need careful monitoring and prompt treatment for AKD to prevent negative outcomes.

Background and Aims Acute kidney injury (AKI) has a poor prognosis in cirrhosis. Given the variability of creatinine, the prediction of AKI and dialysis by other markers is needed. The aim of this study is to determine the role of serum and urine metabolomics in the prediction of AKI and dialysis in an inpatient cirrhosis cohort. Approach and Results Inpatients with cirrhosis from 11 North American Consortium of End‐stage Liver Disease centers who provided admission serum/urine when they were AKI and dialysis‐free were included. Analysis of covariance adjusted for demographics, infection, and cirrhosis severity was performed to identify metabolites that differed among patients (1) who developed AKI or not; (2) required dialysis or not; and/pr (3) within AKI subgroups who needed dialysis or not. We performed random forest and AUC analyses to identify specific metabolite(s) associated with outcomes. Logistic regression with clinical variables with/without metabolites was performed. A total of 602 patients gave serum (218 developed AKI, 80 needed dialysis) and 435 gave urine (164 developed AKI, 61 needed dialysis). For AKI prediction, clinical factor–adjusted AUC was 0.91 for serum and 0.88 for urine. Major metabolites such as uremic toxins (2,3‐dihydroxy‐5‐methylthio‐4‐pentenoic acid [DMTPA], N2N2dimethylguanosine, uridine/pseudouridine) and tryptophan/tyrosine metabolites (kynunerate, 8‐methoxykyunerate, quinolinate) were higher in patients who developed AKI. For dialysis prediction, clinical factor–adjusted AUC was 0.93 for serum and 0.91 for urine. Similar metabolites as AKI were altered here. For dialysis prediction in those with AKI, the AUC was 0.81 and 0.79 for serum/urine. Lower branched‐chain amino‐acid (BCAA) metabolites but higher cysteine, tryptophan, glutamate, and DMTPA were seen in patients with AKI needing dialysis. Serum/urine metabolites were additive to clinical variables for all outcomes. Conclusions Specific admission urinary and serum metabolites were significantly additive to clinical variables to predict AKI development and dialysis initiation in inpatients with cirrhosis. These observations can potentially facilitate earlier initiation of renoprotective measures.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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).

OBJECTIVES: Nosocomial infections (NIs) can be a major cause of morbidity and mortality in cirrhosis. This study aims to define the determinants of NI development and its impact on 30-day outcomes among hospitalized patients with cirrhosis. METHODS: North American Consortium for the Study of End-Stage Liver Disease enrolled patients with cirrhosis who were admitted nonelectively. Admission variables and 30-day outcomes were compared between patients with and without NI. These were also compared based on whether there was an isolated admission infection, NI, or both. Models were created for NI development using admission variables and for 30-day mortality. RESULTS: The study included 2,864 patients; of which, 15% (n = 436) developed NI. When comparing NI vs no NI, 1,866 patients were found to be infection free, whereas 562 had admission infections only, 228 had only NI, and 208 had both infections. At admission, patients with NI were more likely to be infected and have advanced cirrhosis. NIs were associated with higher rates of acute-on-chronic liver failure, death, and transplant regardless of admission infections. Patients with NI had higher respiratory infection, urinary tract infection, Clostridium difficile infection, fungal infections, and infection with vancomycin-resistant enterococci compared with patients without NI. Risk factors for NIs were admission infections, model for end-stage liver disease (MELD) > 20, systemic inflammatory response syndrome criteria, proton pump inhibitor, rifaximin, and lactulose use, but the regression model (sensitivity, 0.67; specificity, 0.63) was not robust. Age, alcohol etiology, admission MELD score, lactulose use, acute-on-chronic liver failure, acute kidney injury, intensive care unit, and NI increased the risk of death, whereas rifaximin decreased the risk of death. DISCUSSION: NIs are prevalent in hospitalized patients with cirrhosis and are associated with poor outcomes. Although higher MELD scores and systemic inflammatory response syndrome are associated with NI, all hospitalized patients with cirrhosis require vigilance and preventive strategies.

We hypothesize that the prevalence of chronic kidney disease (CKD) among patients with cirrhosis has increased due to the increased prevalence of CKD‐associated comorbidities, such as diabetes. We aimed to assess the characteristics of hospitalized patients with cirrhosis with CKD and its impact on renal and patient outcomes. The North American Consortium for the Study of End‐Stage Liver Disease (NACSELD) prospectively enrolled nonelectively admitted patients with cirrhosis and collected data on demographics, laboratory results, in‐hospital clinical course, and postdischarge 3‐month outcomes. CKD positive (CKD+) patients, defined as having an estimated glomerular filtration rate (eGFR; Modification of Diet in Renal Disease–4 variable formula) of ≤60 mL/minute for >3 months, were compared with chronic kidney disease negative (CKD–) patients for development of organ failures, hospital course, and survival. There were 1099 CKD+ patients (46.8% of 2346 enrolled patients) who had significantly higher serum creatinine (2.21 ± 1.33 versus 0.83 ± 0.21 mg/dL in the CKD– group) on admission, higher prevalence of nonalcoholic steatohepatitis cirrhosis etiology, diabetes, refractory ascites, and hospital admissions in the previous 6 months compared with the CKD– group (all P < 0.001). Propensity matching (n = 922 in each group) by Child‐Pugh scores (9.78 ± 2.05 versus 9.74 ± 2.04, P = 0.70) showed that CKD+ patients had significantly higher rates of superimposed acute kidney injury (AKI; 68% versus 21%; P < 0.001) and eventual need for dialysis (11% versus 2%; P < 0.001) than CKD– patients. CKD+ patients also had more cases of acute‐on‐chronic liver failure as defined by the NACSELD group, which was associated with reduced 30‐ and 90‐day overall survival ( P < 0.001 for both). A 10 mL/minute drop in eGFR was associated with a 13.1% increase in the risk of 30‐day mortality. In conclusion, patients with CKD should be treated as a high‐risk group among hospitalized patients with cirrhosis due to their poor survival, and they should be monitored carefully for the development of superimposed AKI.

Acute‐on‐chronic liver failure (ACLF) characterized with ≥2 extrahepatic organ failures in cirrhosis carries a high mortality. Outcomes of patients listed for liver transplantation (LT) after ACLF and after LT are largely unknown. The North American Consortium for the Study of End‐Stage Liver Disease prospectively enrolled 2793 nonelectively hospitalized patients with cirrhosis; 768 were listed for LT. Within 3 months, 265 (35%) received a LT, 395 remained alive without LT, and 108 died/delisted. Compared with nonlisted patients, those listed were younger and more often had ACLF, acute kidney injury, and a higher admission Model for End‐Stage Liver Disease (MELD) score. ACLF was most common in patients who died/delisted, followed by those alive with and without LT respectively, (30%, 22%, and 7%, respectively; P < 0.001). At LT, median MELD was 27.9% and 70% were inpatients; median time from hospitalization to LT was 26 days. Post‐LT survival at 6 months was unchanged between those with and without ACLF (93% each at 6 months). There was no difference in 3‐ and 6‐month mean post‐LT creatinine in those with and without ACLF, despite those with ACLF having a higher mean pre‐LT creatinine and a higher rate of perioperative dialysis (61%). In conclusion, patients with and without ACLF had similar survival after transplant with excellent renal recovery in both groups.

OBJECTIVES: Antibiotic prophylaxis is recommended for prevention of the first episode of spontaneous bacterial peritonitis (SBP; primary prophylaxis 1°) and subsequent episodes (secondary prophylaxis 2°). We aimed to compare outcomes in cirrhotic inpatients on 1° vs 2° SBP prophylaxis. METHODS: Data from North American Consortium for the Study of End-Stage Liver Disease were evaluated for cirrhosis details, reasons for admission/medications, inpatient course recorded, and outcomes over 90 days. Outcomes (intensive care units, acute kidney injury, inpatient/90-day mortality) were compared between the 2 groups after propensity-matching on admission model for end-stage liver disease (MELD) score and serum albumin. RESULTS: Among the 2,731 patients enrolled, 305 were on 1° and 187 on 2° SBP prophylaxis. After propensity-matching, 154 patients remained in each group. Patients on 1° prophylaxis were more likely to have admission systemic inflammatory response syndrome ( P = 0.02), with higher intensive care unit admissions (31% vs 21%; P = 0.05) and inpatient mortality (19% vs 9%; P = 0.01) than the 2° prophylaxis group. Patients on 2° prophylaxis had higher total (22% vs 10%; P = 0004), readmission (16% vs 9%; P = 0.03), and nosocomial (6% vs 0.5%; P = 0.01) SBP rates with predominant Gram-negative organisms compared to 1° prophylaxis patients. At 90 days, 1° prophylaxis patients had a higher mortality (35% vs 22%; P = 0.02) and acute kidney injury incidence (48% vs 30%; P = 0.04) compared to 2° prophylaxis patients. DISCUSSION: In this inpatient cirrhosis study, despite prophylaxis, a high proportion of patients developed SBP, which was associated with mortality. Cirrhotic inpatients on 1° prophylaxis had worse outcomes than those on 2° prophylaxis when propensity-matched for the MELD score and serum albumin during the index admission and 90-day follow-up.