The ability of the new ALBI scoring in predicting mortality, complications and prognostic comparison among cirrhotics

Hospital Mortality in Acute Decompensation of Alcoholic Liver Cirrhosis: Can Novel Survival Markers Outperform Traditional Ones?

Background: There is a strong correlation between systemic inflammation intensity and clinical presentation, disease progression, and survival during liver cirrhosis decompensation. This study aimed to evaluate the prognostic performance of blood-based biomarkers as meta-inflammation markers, including NLR, PLR, LMR, INPR, MPR, ALBI, FIB4, and APRI, in predicting hospital mortality in patients with acute decompensation of alcohol-related liver cirrhosis. Methods: Data from 411 patients with their first onset of acute decompensation were analyzed, forming two groups: deceased and survived during hospitalization. Generalized partial least squares regression analysis was applied to explore the effects of surrogate indicators on mortality rates, using mortality rate as the dependent variable. Root Mean Square Error, Akaike's, and Bayesian information criteria determined that four components accounted for most of the variance. Results: Variables with significant negative contributions to the outcome prediction (ranked by standardized regression coefficients) were encephalopathy grade, total bilirubin, Child-Turcotte-Pugh score, MELD, NLR, MPV, FIB4, INR, PLR, and ALT. Coefficient sizes ranged from -0.63 to -0.09, with p-values from 0 to 0.018. Conclusions: NLR, PLR, and FIB4 significantly contribute to hospital mortality prediction in patients with acute decompensation of alcohol-related liver cirrhosis. Conversely, some variables used to predict liver disease severity, including INPR, APRI, LMR, and ALBI score, did not significantly contribute to hospital mortality prediction in this patient population.

Evaluation of the Prognostic Value of Existing Scoring Systems for Nosocomial Infection in Patients with Decompensated Liver Cirrhosis

BACKGROUND

Many scoring systems have been developed to evaluate the severity and survival of end-stage liver disorder patients. However, the conduction of these different predicting models has not been thoroughly verified in cirrhotic patients with nosocomial infections. This study ended to compare the predictive accuracy of various scoring systems.

METHODS

During January 2015 and January 2020, liver cirrhosis patients with nosocomial infections were involved in this study. The clinical data, laboratory findings, and demographic characteristics of patients were collected during diagnosis. Patients were followed up for at least 6 months or till death.

RESULTS

One hundred thirty-one patients meeting the criteria were enrolled and followed up for at least 6 months. The mortality rate at 30 days, 3 months, and 6 months was 23%, 35.1%, and 39.6%, respectively. The univariate analysis showed that all scoring systems indicated statistical significance between the surviving group and the non-surviving group at 6 months. Model for end-stage liver disease-Na showed excellent predictive accuracy in predicting the survival at 30 days, 3 months, 6 months, with the area under the curve of 0.807, 0.850, and 0.844, respectively. Model for end-stage liver disease-Na demonstrated sensitivities of more than 85%. In contrast, the child-turcotte-pugh and albumin-bilirubin scores showed a poorer predictive capability.

CONCLUSION

All 5 models for end-stage liver disease-related scores (model for end-stage liver disease, model for end-stage liver diseaseto-serum sodium ratio, model for end-stage liver disease-Na, model for end-stage liver disease-Delta, snd integrated model for endstage liver disease) exhibited a reliable prediction for mortality of long-term prognosis and short-term prognosis of cirrhotic patients with nosocomial infections. Among them, the model for end-stage liver disease-Na score might be the best choice.

The Use of Albumin-to-bilirubin Score in Predicting Variceal Bleed: A Pilot Study from Pakistan

Variceal hemorrhage is a serious consequence of patients having chronic liver disease (CLD). Various scores exist that predict the outcome for non-variceal bleed. However, only a few scores evaluate patients with variceal bleed. We, in our study, evaluated 48 cirrhotics who presented with variceal gastrointestinal (GI) bleed over a period of 3 months. Majority of these were males and the most common etiology was hepatitis C infection. The main presenting complaints were hematemesis seen in 39.6% followed by hematemesis and melena in 31.25%. Most bleeding episodes were secured via banding in 62.5% followed by injection of histoacryl in 12.5%. Finally, Child-Turcotte-Pugh (CTP), model for end-stage liver disease (MELD), albumin-to-bilirubin (ALBI), and the ABC score were applied and none correlated with the presence of esophageal varices. However, the ALBI score did correlate with the presence of tachycardia in our study, a pertinent sign of upper GI bleed.

How to cite this article

Majid Z, Khan SA, Akbar N, et al. The Use of Albumin-to-bilirubin Score in Predicting Variceal Bleed: A Pilot Study from Pakistan. Euroasian J Hepato-Gastroenterol 2022;12(2):77-80.

Development and Validation of a Nomogram Based on Noninvasive Liver Reserve and Fibrosis (PALBI and FIB-4) Model to Predict Posthepatectomy Liver Failure Grade B-C in Patients with Hepatocellular Carcinoma

Hepatectomy is currently one of the most effective treatments for hepatocellular carcinoma (HCC). However, postoperative liver failure (PHLF) is a serious complication and the leading cause of mortality in patients with HCC after hepatectomy. This study attempted to develop a novel nomogram based on noninvasive liver reserve and fibrosis models, platelet-albumin-bilirubin grade (PALBI) and fibrosis-4 index (FIB-4), able to predict PHLF grade B-C. This was a single-centre retrospective study of 574 patients with HCC undergoing hepatectomy between 2014 and 2018. The independent risk factors of PHLF were screened using univariate and multivariate logistic regression analyses. Multivariate logistic regression was performed using the training set, and the nomogram was developed and visualised. The utility of the model was evaluated in a validation set using the receiver operating characteristic (ROC) curve. A total of 574 HCC patients were included (383 in the training set and 191 for the validation set) and included PHLF grade B-C complications of 14.8, 15.4, and 13.6%, respectively. Overall, cirrhosis (P < 0.026, OR = 2.296, 95% confidence interval (CI) 1.1.02-4.786), major hepatectomy (P=0.031, OR = 2.211, 95% CI 1.077-4.542), ascites (P=0.014, OR = 3.588, 95% 1.299-9.913), intraoperative blood loss (P < 0.001, OR = 4.683, 95% CI 2.281-9.616), PALBI score >-2.53 (, OR = 3.609, 95% CI 1.486-8.764), and FIB-4 score ≥1.45 (P < 0.001, OR = 5.267, 95% CI 2.077-13.351) were identified as independent risk factors associated with PHLF grade B-C in the training set. The areas under the ROC curves for the nomogram model in predicting PHLF grade B-C were significant for both the training and validation sets (0.832 vs 0.803). The proposed nomogram predicted PHLF grade B-C among patients with HCC with a better prognostic accuracy than other currently available fibrosis and noninvasive liver reserve models.

Restless Leg Syndrome in Patients with Liver Cirrhosis! Its Frequency, Severity, and Correlation

BACKGROUND

Restless leg syndrome (RLS) has been recognized as a typical additional manifestation among patients with cirrhosis of the liver. RLS prevalence in liver cirrhosis further worsens the quality of life, which has already been compromised with the disease-related complications of cirrhosis itself.

AIMS

The study aimed to determine the frequency and severity of Restless Leg Syndrome (RLS) among patients with cirrhosis of the liver and to correlate its severity with the severity of cirrhosis.

METHODS

This prospective cross-sectional study was carried out at Ruth K.M. Pfau Civil Hospital (Karachi, Pakistan) from December 2019 to February 2020. Three hundred and fifteen cirrhotic patients with any etiology were included in the study after informed written consent. Restless leg syndrome with its severity was determined in all cirrhotic patients. For continuous variables, means and medians with standard deviations were calculated, while percentages and proportions were used for discrete variables. Spearman correlation was used to find significance between RLS Severity Score (RSS) and Model of End-stage Liver Disease MELD Score. A p value of < 0.05 was considered significant for all analyses.

RESULTS

The frequency of RLS among cirrhotic patients was 38.4%. More than half (54.5%) of the patients had severe RLS. Viral related hepatitis C and hepatitis B were the most common cause of cirrhosis of the liver (57.8% and 30.8%). A significant difference was found between as patients both with or without RLS in terms of age (p=0.003), gender (p=0.005), hemoglobin (p=0.00), and serum albumin (p=0.01). No significant association was found between RLS severity score and MELD Score (p=0.693).

CONCLUSION

Prevalence of RLS is very high among cirrhotic patients, but no correlation was found between the severity of RLS and cirrhosis. Further studies should be carried out to assess the quality of life in cirrhotic patients having RLS.

An Improved Scoring System Based on Platelet-Albumin-Bilirubin in Predicting Posthepatectomy Liver Failure Outcomes

BACKGROUND

Posthepatectomy liver failure (PHLF) is one of the major complications of liver resection that causes perioperative mortality. Accurate preoperative assessment of PHLF is of great significance to reduce the complication rate after hepatectomy and improve the survival rate.

METHODS

A retrospective study of patients who received hepatectomy from January 2016 to October 2019 at Tang Du Hospital was performed. The area under the receiver operating characteristic (ROC) curve was used to compare the predictive effects of various scoring models on PHLF.

RESULTS

The area under the ROC curve of platelet-albumin-bilirubin (PALBI) score, new platelet-albumin-bilirubin (I-PALBI) score, ALBI score, and MELD score was, respectively, 0.647, 0.772, 0.677, and 0.686 (p < 0.01). The I-PALBI score was significantly better than the other scores.

CONCLUSIONS

I-PALBI score can be used as a predictive score of PHLF, and its prediction accuracy is better than other scoring systems.

Haemorrhagic versus non haemorrhagic ascites in cirrhosis: Their relationship and impact on prognosis of liver cirrhosis

Objectives

To evaluate the impact of haemorrhagic ascites on prognosis of patients with advance cirrhosis, this study was further aimed to assess the relationship between haemorrhagic ascites and advance cirrhosis and its effect on prognosis.

Methods

Eight hundred and thirty-eight patients having liver cirrhosis with ascites were analyzed retrospectively (over three years) while segregated into two groups haemorrhagic and non haemorrhagic ascites. Patient outcome variables were identified among both groups and independent predictors for survival were analyzed. Kaplan-Meier survival estimates determined survival rate comparison between groups.

Results

Haemorrhagic ascites was detected in (26.6%) patients. Spontaneous haemorrhagic ascites(79%) was the main cause of haemorrhagic ascites followed by hepatocellular carcinoma (14%) and iatrogenic (7.6%). Spontaneous bacterial peritonitis and acute kidney injury were statistically significant (p= 0.0001, 0.0001) among groups. Overall mortality at year three was higher (83%) in haemorrhagic ascites group. Survival among both groups (haemorrhagic versus non haemorrhagic) at one month, one year and three year was found to be significant (p= 0.000, 0.000 and 0.000).

Conclusion

Haemorrhagic ascites impact overall survival with more mortality in comparison to non haemorrhagic ascites. Haemorrhagic ascites was an independent predictor of survival. Haemorrhagic ascites is possibly considered another predictor of survival among advance cirrhosis.