Prognosis of Hepatic Encephalopathy

Efficacy and Safety of Variable Treatment Options in the Prevention of Hepatic Encephalopathy: A Systematic Review and Network Meta-Analysis

There are no guidelines for the most effective medication to reduce hepatic encephalopathy (HE) or the associated mortality. The purpose of this study is to determine the most effective possible treatment among the single treatment options or the combined treatment options for decreasing the morbidity and mortality of HE. We evaluated the outcomes by various parameters such as the quality of life, reduction in ammonia, all causes of mortality, adverse events, reversal of minimal HE, and development of overt HE. We systematically searched PubMed, Cochrane, Web of Science, and Scopus till the 19th of January 2023 for studies that assess various treatment options for HE. Data were extracted from eligible studies and pooled in a frequentist network meta-analysis as standardized mean difference (SMD) and their 95% confidence interval (CI) using the MetaInsight web-based tool. The Cochrane Tool was used to assess the randomized controlled trials' quality (RCT), while the NIH tool was used to assess the quality of the included cohort studies. Utilizing the R software, the network meta-analysis was conducted. In addition to a significant variation in cases of (Lactulose and Rifaximin) compared with Rifaximin (RR= 0.39, 95% CI [0.17; 0.89]), the results demonstrated a significantly lower incidence of overt HE in (Lactulose and Rifaximin) compared with placebo (RR=0.19, 95% CI [0.09; 0.40]). Most arms demonstrated a statistically significant reduction in the incidence of overt HE compared to albumin and placebo. The results also demonstrated a significant reduction in ammonia between L-ornithine-L-aspartate (LOLA) and probiotics (MD= -19.17, 95% CI [-38.01; -0.32]), as well as a significant difference in the incidence of LOLA compared to placebo (MD= -22.62, 95% CI [-39.16; -6.07]). This network meta-analysis has significant data for managing subclinical HE in people without a history of overt HE. Our analysis showed that (Lactulose and Rifaximin), followed by (Rifaximin and L-carnitine), followed by (Lactulose and Rifaximin with zinc) were the best combinations regarding overt HE. LOLA reduced ammonia best, followed by Nitazoxanide and finally Lactulose. (Lactulose and Nitazoxanide) have the least adverse effects, followed by (Rifaximin and L-carnitine), then Probiotics. Yet, all mortality outcomes and quality of life changes yielded no useful findings. Future studies like RCTs must be done to compare our therapies directly.

The Management of Hepatic Encephalopathy from Ward to Domiciliary Care: Current Evidence and Gray Areas

Hepatic encephalopathy (HE) is a common complication of advanced liver disease and acute liver failure. It is a condition that features several neuropsychiatric symptoms that affect mortality, morbidity and the quality of patients' and caregivers' lives. An HE diagnosis is generally an exclusion diagnosis. Once the patient is admitted to the hospital, clinical examination, blood tests and eventually neuroimaging should be performed with the aim of ruling out other causes of acute brain dysfunction. Moreover, HE is recognized using various precipitants that can potentially promote its onset, alone or in combination, and must be identified. Once the diagnostic process is complete, a correct treatment should be started. The anti-HE treatment is based on a combination of the correction of precipitants; non-absorbable antibiotics, such as rifaximin; and non-absorbable disaccharides. Once the patient is discharged from the hospital, specific anti-HE therapy should be maintained in order to prevent other HE episodes.

General anesthesia in patients with hepatic encephalopathy and acute variceal bleeding undergoing endoscopic treatment: A retrospective study

The management of cirrhotic patient with encephalopathy and acute variceal bleeding (AVB) remains a clinical challenge with a high mortality. Early endoscopic therapies are frequently applied in patients with AVB. However, the application of general anesthesia in endoscopic surgery for patients with hepatic encephalopathy (HE) is pretty challenging. The present study aimed to evaluate the possible effect of general anesthesia with tracheal intubation on patient complicated with encephalopathy and AVB during endoscopic procedure. Thirty-six cirrhotic patients with encephalopathy and AVB were retrospectively studied, 14 patients underwent endoscopic treatment under general anesthesia with tracheal intubation, and 22 patients received pharmacological treatment, or and endoscopic therapy without general anesthesia served as the control group. Routine clinical and laboratory data were collected. The total mortality rate was 13.9% (5/36), 2 (14.3%) in the anesthesia group, 3 (13.6%) in the control group. The child-Pugh class of death cases were all grade C, 3 (60%) of them were in the stage IV of HE. The stage of HE was all improved in the 2 groups, 12 (85.8 %) patients were totally recovered from consciousness disturbance in the anesthesia group and 16 (72.7 %) in the control group respectively, the difference between the 2 groups was not significant (P>0.05). Except the death cases, there were still 3 patients in the control group had impaired consciousness at discharge. Child-Pugh score, Child-Pugh class and the stage of HE in the anesthesia group were significantly improved at discharge compared with those before operation. General anesthesia does not aggravate the severity of encephalopathy, and endoscopic treatment under general anesthesia with tracheal intubation is effective for HE patients complicated with AVB.

Neutrophil-to-lymphocyte ratio predicts 30-, 90-, and 180-day readmissions of patients with hepatic encephalopathy

Introduction

Hepatic encephalopathy (HE) is a significant complication of cirrhosis, known to be associated with hospital readmission. However, few new serological indicators associated with readmission in HE patients have been identified and reported. The objective of our study was to identify simple and effective predictors reated to readmission in HE patients.

Materials and methods

We conducted a retrospective study at a single center on adult patients admitted with HE from January 2018 to December 2022. The primary endpoint was the first liver-related readmission within 30, 90, and 180 days, and we collected electronic medical records from our hospital for sociodemographic, clinical, and hospitalization characteristics. We utilized logistic regression analysis and multiple linear regression analysis to determine the predictors that were associated with the readmission rate and the length of the first hospitalization.

Results

A total of 424 patients were included in the study, among whom 24 (5.7%), 63 (14.8%), and 92 (21.7%) were readmitted within 30, 90, and 180 days, respectively. Logistic regression analysis showed that insurance status, alcoholic liver disease (ALD), ascites, the model for end-stage liver disease (MELD) score, and neutrophil-to-lymphocyte ratio (NLR) were significantly associated with 30-, 90-, and 180-day readmissions. Age and hepatocellular carcinoma (HCC) were predictors of 90- and 180-day readmissions. ALD was identified as a unique predictor of readmission in men, while hypertension was a predictor of 180-day readmission in women. Variceal bleeding, chronic kidney disease, and MELD score were associated with the length of the first hospitalization.

Conclusions

NLR at discharge was identified as a significant predictor of 30-, 90- and 180-day readmissions in patients with HE. Our findings suggest that incorporating NLR into routine clinical assessments could improve the evaluation of the prognosis of liver cirrhosis.

Altered Spontaneous Brain Activity in Cirrhotic Patients with Minimal Hepatic Encephalopathy: A Meta-Analysis of Resting-State Functional Imaging

(1) Background: Minimal hepatic encephalopathy (MHE) is an important complication of decompensated cirrhosis. Previous studies have demonstrated spontaneous brain activity alterations in cirrhotic patients with MHE. However, the reported results are inconsistent, which has limited our understanding of the potential neural mechanisms. Thus, we conducted a quantitative meta-analysis of resting-state functional imaging studies to identify the regional activity alterations consistently involved in MHE. (2) Methods: We searched six databases to include resting-state functional imaging studies and compared spontaneous brain activity patterns between MHE patients and healthy controls (HCs), and between cirrhotic patients without minimal hepatic encephalopathy (NMHE) and HCs. Then, a separate whole-brain voxel-wise meta-analysis between MHE or NMHE patients and HCs was conducted using seed-based d mapping with permutation of subject images. We further conducted the conjunction analysis to assess the distinct regional activity alterations between MHE and NMHE patients as compared to HCs. (3) Results: Thirteen studies with twenty datasets were included in this meta-analysis. Compared with HCs, MHE patients showed decreased spontaneous brain activity in the left superior frontal gyrus, left median cingulate/paracingulate gyri, and right precuneus. Compared with NMHE patients, MHE patients indicated decreased spontaneous brain activity in the left superior frontal gyrus, left median cingulate/paracingulate gyri, and right precuneus. (4) Conclusions: MHE is associated with spontaneous brain activity alterations involving the left superior frontal gyrus and median cingulate/paracingulate gyri, which may implicate primarily in spatial working memory and emotional disorders. These findings may contribute to a better understanding of the potential neural mechanisms, and guide further research.

Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models

The early detection of graft failure in pediatric liver transplantation is crucial for appropriate intervention. Graft failure is associated with numerous perioperative risk factors. This study aimed to develop an individualized predictive model for 90-days graft failure in pediatric liver transplantation using machine learning methods. We conducted a single-center retrospective cohort study. A total of 87 liver transplantation cases performed in patients aged < 12 years at the Severance Hospital between January 2010 and September 2020 were included as data samples. Preoperative conditions of recipients and donors, intraoperative care, postoperative serial laboratory parameters, and events observed within seven days of surgery were collected as features. A least absolute shrinkage and selection operator (LASSO) -based method was used for feature selection to overcome the high dimensionality and collinearity of variables. Among 146 features, four variables were selected as the resultant features, namely, preoperative hepatic encephalopathy, sodium level at the end of surgery, hepatic artery thrombosis, and total bilirubin level on postoperative day 7. These features were selected from different times and represent distinct clinical aspects. The model with logistic regression demonstrated the best prediction performance among various machine learning methods tested (area under the receiver operating characteristic curve (AUROC) = 0.898 and area under the precision-recall curve (AUPR) = 0.882). The risk scoring system developed based on the logistic regression model showed an AUROC of 0.910 and an AUPR of 0.830. Together, the prediction of graft failure in pediatric liver transplantation using the proposed machine learning model exhibited superior discrimination power and, therefore, can provide valuable information to clinicians for their decision making during the postoperative management of the patients.

Novel nomogram model for predicting 6-week mortality in liver cirrhosis patients with acute upper gastrointestinal bleeding

OBJECTIVE

To develop and validate a nomogram for predicting 6-week mortality in patients with liver cirrhosis and acute upper gastrointestinal bleeding (UGIB) and to compare it with other commonly used scoring systems.

METHODS

This retrospective study included cirrhotic patients with acute UGIB hospitalized between January 2013 and December 2020. Random sampling was used to divide patients into the training (n = 676) and validation cohorts (n = 291) at a 7:3 ratio. Multivariate logistic stepwise regression was used to establish a model for predicting 6-week mortality. Multiple indicators were used to validate the nomogram, including the area under the receiver operating characteristic curve (AUROC), calibration curve, and decision curve analysis (DCA).

RESULTS

In the training cohort, total bilirubin (TBIL) (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.22-2.50), hemoglobin (Hb) (OR 0.97, 95% CI 0.95-0.99), C-reactive protein (OR 2.79, 95% CI 1.30-6.07), prothrombin time (OR 1.17, 95% CI 1.05-1.30), and hepatic encephalopathy (stage I-II: OR 4.15, 95% CI 1.73-9.61; stage III-IV: OR 19.6, 95% CI 5.33-76.8) were identified as independent factors of 6-week mortality. The AUROC of the UGIB-LC score was 0.873 (95% CI 0.820-0.927), which was higher than that of the Child-Pugh score (0.781), model for end-stage liver disease score (0.766), and neutrophil-to-lymphocyte ratio (0.716).

CONCLUSION

The UGIB-LC score is useful for predicting 6-week mortality in patients with liver cirrhosis and acute UGIB, which is superior to the other three scoring systems.

Management of Hepatic Encephalopathy Associated with Advanced Liver Disease

Hepatic encephalopathy (HE) is a very prevalent condition in patients with advanced liver disease and has a high recurrence rate. The pathophysiology has a multifactorial origin where hyperammonaemia and inflammation become particularly relevant. There are no HE-specific diagnostic tests, and diagnosis is usually made by taking into account the presence of suggestive and compatible clinical symptoms, the existence of a predisposing liver condition and ruling out other causes with similar clinical manifestations. Once the diagnosis of HE is established, it is essential to carry out an adequate classification based on the underlying liver disease, the intensity of clinical manifestations, the temporal course of the disease and the presence or absence of precipitating factors. Treatment should be aimed at decreasing the duration, intensity and consequences of episodes, preventing recurrence and limiting the impact of the disease in patients and their relatives.

The combination of Child-Pugh score and quantitative CT-based spleen volume could predict the risk of hepatic encephalopathy after transjugular intrahepatic portosystemic shunt creation

PURPOSE

Hepatic encephalopathy (HE) is a common complication in patients undergoing transjugular intrahepatic portosystemic shunt (TIPS). The objective of this study was to assess the prognostic factors and make risk stratification of post-TIPS HE.

METHODS

This was a retrospective cohort study consisting of cirrhotic patients who had undergone TIPS creation at our center from November 2015 to August 2020. The baseline characteristics including spleen volume (SVol) and other markers were collected. The univariate and multivariate Cox regression analyses were used to identify independent predictors of post-TIPS overt HE (OHE).

RESULTS

Higher Child-Pugh (CP) score (HR 1.334, 95% CI 1.090-1.632, P = 0.005) and smaller SVol (HR 0.999, 95% CI 0.997-1.000, P = 0.004) were identified as the independent risk factors for post-TIPS OHE. And a time-dependent ROC analysis was used to determine the cutoff values of CP score and SVol, which were respectively 6.5 and 773 cm³. Subsequently, the CP-SVol grading system was developed to divide patients into three risk grades according to the above two cutoff values. Kaplan-Meier analysis showed that the cumulative rates of patients free of OHE in Grade 1, 2 and 3 were respectively 96.4% ± 3.5%, 82.1 ± 4.7%, and 59.3% ± 6.4%, which were in descending order (Log rank P < 0.001).

CONCLUSION

SVol might be a novel marker to predict the prognosis of post-TIPS OHE, and the proposed CP-SVol grading system composed of CP score and SVol achieved a superior predictive performance.