THE IMPACT OF THE MELD SCORE ON LIVER TRANSPLANT ALLOCATION AND RESULTS: AN INTEGRATIVE REVIEW

The effectiveness of exercise prehabilitation on aerobic capacity, muscle strength and body composition in patients with cirrhosis awaiting liver transplantation: a systematic review and meta-analysis protocol

INTRODUCTION

Cirrhosis is the main cause of morbidity and mortality globally, accounting for approximately 1.2 million deaths annually. Impaired aerobic capacity, muscle wasting and reduced muscle strength are significant complications in patients with cirrhosis. Preoperative exercise intervention "prehabilitation" has been recognised as a potential approach to optimise muscle strength, aerobic capacity and body composition as well as quality of life in patients awaiting abdominal surgery. However, there is little evidence on the effects of preoperative exercise on older adults with cirrhosis and awaiting liver transplant. Thus, the primary objective of this systematic review and meta-analysis will be to assess the effects of exercise interventions in improving aerobic capacity, muscle strength and body composition of older adults with cirrhosis and awaiting liver transplant.

METHODS AND ANALYSIS

This systematic review and metaanalysis protocol was designed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This systematic review will include all peer-reviewed randomised controlled trials (RCTs), including cluster RCTs, controlled (non-controlled), complex clinical trials (CCTs) or cluster trials, cohort, observational studies published in English from inception until July 2024. The following electronic databases will be searched: MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL (EBSCO) and Scopus (Elsevier) and supplemented by a secondary screening of the reference lists of all included articles. Searches will involve studies with both male and female participants aged ≥ 18 years with cirrhosis and awaiting liver transplant. Primary outcomes will include muscle strength, and aerobic capacity. The secondary outcomes include body composition (e.g. body mass index, and thigh circumference). The Cochrane Collaboration Risk of Bias Tool will be used to evaluate quality of the studies and Review Manager (RevMan) V.5.3 (Copenhagen, Denmark: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014). Effect sizes will be expressed as a standardised mean difference, and their 95% confidence intervals will be calculated and presented as a forest plot. The standard χ2 and I2 tests will be used to test heterogeneity.

CONCLUSION

This systematic review and meta-analysis is anticipated to provide meaningful and contemporary evidence on the effects of preoperative exercise in older adults living with cirrhosis and awaiting liver transplant. In addition, the findings will help clinicians with developing safe and effective preoperative exercise regimens for these patients.

Navigating Cirrhosis: A Comprehensive Review of Liver Scoring Systems for Diagnosis and Prognosis

This comprehensive review navigates the landscape of liver scoring systems for the diagnosis and prognosis of cirrhosis. Cirrhosis, a chronic and progressive liver disease, presents significant challenges in its diagnosis and management. The review begins by defining and providing an overview of cirrhosis, emphasizing its clinical implications. Highlighting the significance of liver scoring systems, including the Child-Pugh score, end-stage liver disease, albumin-bilirubin (ALBI) score, and fibrosis-4 (FIB-4) index, the study explores their role in assessing liver dysfunction severity and predicting outcomes. A meticulous analysis identifies the strengths and limitations of these scoring systems, offering valuable insights for clinicians. The recommendations emphasize incorporating these tools into routine clinical practice for early intervention and personalized treatment plans. Interdisciplinary collaboration is underscored as crucial for a holistic approach to cirrhosis management. The conclusion calls for future research to refine existing scoring systems, explore emerging biomarkers and imaging techniques, and conduct prospective studies to enhance precision. By embracing these recommendations, the medical community can advance the understanding and management of cirrhosis, ultimately improving patient outcomes and revolutionizing liver disease approaches.

Update on Assessment of Estimated Glomerular Filtration Rate in Patients With Cirrhosis

Kidney disease is associated with adverse outcomes in patients with cirrhosis including increased post-liver transplantation (LT) mortality. Therefore, diagnosis and staging of kidney disease are critical to timely implementation of treatment and have important implications for transplant eligibility. Serum creatinine (sCr) is a key component of the Model for End-Stage Liver Disease score in LT candidates, and sCr-based estimated glomerular filtration rate (eGFR) values play an important role in determining medical urgency for LT. However, the use of sCr to assess kidney function may be limited in the cirrhotic milieu due to decreased creatinine production, interference of bilirubin with some laboratory assays for sCr, and expansion of the volume of distribution of creatinine. Therefore, conventional eGFR equations perform poorly in patients with cirrhosis and may overestimate kidney function leading to delayed diagnosis of acute kidney injury or lower priority for LT in patients with a truly low glomerular filtration rate. In this review, we will provide an update on the use of sCr for diagnosis and staging of kidney disease in patients with cirrhosis, discuss the limitations of sCr-based eGFR equations, and discuss novel eGFR equations that have been developed in patients with cirrhosis.

Current Approaches in the Allocation of Liver Transplantation

In recent decades, important advances have been made in the field of liver transplantation. One of the major problems remaining in this area is the small number of donors. Thus, recent data bring multiple updates of the indications and contraindications of this therapeutic method. The main goal is to increase the number of patients who can benefit from liver transplantation, a therapeutic method that can improve life expectancy and the quality of life of patients with end-stage liver disease. Another goal in the management of these patients is represented by the optimal care of those on the waiting list during that period. A multidisciplinary team approach is necessary to obtain the best results for both the donor and the recipient.

Disparities in Social Determinants of Health Among Patients Receiving Liver Transplant: Analysis of the National Inpatient Sample From 2016 to 2019

Background

Liver transplantation is the life-saving standard of care for those with end-stage liver disease. Unfortunately, many patients on the liver transplant list die waiting. Several studies have demonstrated significant differences based on disparities in race, gender, and multiple socioeconomic factors. We sought to evaluate recent disparities among patients receiving liver transplants using the latest available data from the National Inpatient Sample (NIS), the largest publicly available inpatient care database in the United States.

Methods

We performed an analysis of discharge data from the NIS between 2016 and 2019. We identified adult patients with chronic liver disease who underwent a liver transplant using the International Classification of Diseases, 10th revision (ICD-10) codes. Multivariate logistic regression was used to adjust for differences in race, gender, socioeconomic status, and comorbidities among those who received a liver transplant.

Results

A total of 24,595 liver transplants were performed over the study period. Female gender was independently associated with decreased transplant rates (adjusted odds ratio (AOR) 0.83, 95% confidence interval (CI), 0.78-0.89, P < 0.001). Compared to White patients, Black patients had decreased transplant rates (AOR 0.86, 95% CI, 0.75-0.99, P = 0.034), as did Native Americans (AOR 0.64; 95% CI, 0.42-0.97, P = 0.035). Hispanics and Asian Americans had increased rates of liver transplantation (AOR 1.16, 95% CI 1.02-1.32, P = 0.022, and 1.36, 95% CI 1.11-1.67, P = 0.003; respectively). The increase in income quartile was associated with an incremental increase in transplant rates. Additionally, patients with private insurance had much higher transplant rates compared to those with Medicare (AOR 2.50, 95% CI 2.31-2.70, P < 0.001) while patients without insurance had the lowest rates of transplantation (AOR 0.18, 95% CI 0.12-0.28, P < 0.001).

Conclusions

Our analysis demonstrates that race, gender, and other social determinants of health have significant impacts on the likelihood of receiving a liver transplant. Our study, on a national level, confirms previously described disparities in receiving liver transplantation. Patient-level studies are needed to better understand how these variables translate into differing liver transplantation rates.

Prognosis of liver transplantation: Does postoperative ileus matter?

Background

Nowadays, liver transplantation has become a main therapy for end-stage liver disease. However, studies show that there are high mortality and severe complications after liver transplantation. Although gastrointestinal dysfunction is a common and major complication after liver transplantation, there was rarely relative research. This study aims to elucidate the factors about ileus after liver transplantation and patients’ survival.

Methods

We collected and analyzed the data (n = 318, 2016–2019) from the First Affiliated Hospital of Xi’an Jiaotong University. After excluding cases, a total of 293 patients were included for this study. The subjects were divided into a non-ileus group and an ileus group. We reviewed 38 variables (including preoperative, operative and postoperative relative factors). Additionally, other complications after liver transplantation and survival data were compared between two groups.

Results

Of the 293 patients, 23.2% (n = 68) experienced postoperative ileus. Ileus patients were not different with non-ileus patients in preoperative, operative and postoperative factors. HBV-positive patients with ileus had a lower MELD score (P = 0.025), and lower postoperative total bilirubin was correlated with ileus (P = 0.049). Besides, Child–Pugh score of HCC patients with ileus was low (P = 0.029). The complications after liver transplantation were not different between two groups. Compared with the patients without ileus, the patients with ileus had a higher mortality rate.

Conclusion

According to our research, ileus-patients had a lower 1-year survival rates. The preoperative MELD score and postoperative total bilirubin of HBV-positive patients with ileus were lower, and Child–Pugh score of HCC patients with ileus was also lower.

Exploring and predicting mortality among patients with end-stage liver disease without cancer: a machine learning approach

OBJECTIVE

End-stage liver disease is a global public health problem with a high mortality rate. Early identification of people at risk of poor prognosis is fundamental for decision-making in clinical settings. This study created a machine learning prediction system that provides several related models with visualized graphs, including decision trees, ensemble learning and clustering, to predict mortality in patients with end-stage liver disease.

METHODS

A retrospective cohort study was conducted: the training data were from patients enrolled from January 2009 to December 2010 and followed up to December 2014; validation data were from patients enrolled from January 2015 to December 2016 and followed up to January 2019. Hospitalized patients with noncancer-related chronic liver disease were identified from the hospital's electrical medical records.

RESULTS

In traditional multivariable logistic regression and Cox proportional hazard model, prothrombin time of international normalized ratio, which was significant with P value = 0.002, odds ratio = 2.790 and hazard ratio 1.363. Besides, blood urea nitrogen and C-reactive protein were also significant, with P value <0.001 and 0.026. The area under the curve was 0.771 in the receiver operating characteristic curve. In machine learning, blood urea nitrogen and age were regarded as the primary factors for predicting mortality. Creatinine, prothrombin time of international normalized ratio and bilirubin were also significant mortality predictors. The area under the curve of the random forest and AdaBoost was 0.838 and 0.792.

CONCLUSION

The machine learning techniques provided a comprehensive assessment of patient conditions; it could help physicians make an accurate diagnosis of chronic liver disease and improve healthcare management.

Preoperative ICG Test to Predict Posthepatectomy Liver Failure and Postoperative Outcomes in Hilar Cholangiocarcinoma

Preoperative evaluation of hepatic functional reserve in patients with hilar cholangiocarcinoma (hCCA) has vital clinical significance for prevention of posthepatectomy liver failure (PHLF) and mortality. The aim of the present study was to evaluate the clinical significance of the indocyanine green retention rate at 15 minutes (ICG R15) and related factors of postoperative outcomes in patients with hCCA. 147 patients who scheduled for hCCA resection underwent a preoperative ICG test between May 2015 and May 2020 and were prospectively analyzed. Single-factor analysis was used to evaluate the risk factors for PHLF and postoperative outcomes in hCCA. After univariate analysis, significant differences in ICG R15 were found between the PHLF group and the liver function recovered well (LFRW) group (P ≤ 0.05). In terms of postoperative complications, ICG R15 was also a risk factor for moderate-to-severe postoperative complications. Preoperative ICG R15 was significantly associated with PHLF and moderate-to-severe postoperative complications. ICG R15 may become an ideal clinical indicator for the evaluation of liver function reserve before hCCA and can better predict the postoperative complications.

Pediatric length-of-stay index following liver transplantation

BACKGROUND

PELD scores are used to reduce waitlist mortality, but they do not accurately predict likelihood of prolonged length-of-stay or higher costs associated with it. This study aims to create a pediatric length-of-stay (LOS) index to predict increased risk of prolonged stay following liver transplantation.

METHODS

The scoring system generated predicts length-of-stay following pediatric liver transplantation. With univariate and multivariate analyses on data from 5669 pediatric liver transplant recipients, independent recipient/donor risk factors for prolonged stay (>30 days) were identified. Multiple imputations accounted for missing variables.

RESULTS

The most significant factors were ICU admission (OR 2.92, CI 2.27-3.75), recipient bilirubin >32 (OR 2.35, CI 1.70-3.25), and hemodialysis 1 week before transplantation (OR 2.27, CI 1.57-3.27). The LOS index assigns weighted scoring points to factors to predict prolonged stay (C-statistic of .72). The index demonstrated discrimination across the population after dividing it into quartiles for prolonged stay.

CONCLUSIONS

The pediatric LOS index, utilizing 13 donor/recipient factors, can assess the risk for pediatric liver transplantation prolonged stay. Important predictive factors are hemodialysis, ICU admission, recipient weight and bilirubin, and recipient life support status.

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

Background

Patients with end-stage liver disease (ESLD) have limited treatment options and have a deteriorated quality of life with an uncertain prognosis. Early identification of ESLD patients with a poor prognosis is valuable, especially for palliative care. However, it is difficult to predict ESLD patients that require either acute care or palliative care.

Objective

We sought to create a machine-learning monitoring system that can predict mortality or classify ESLD patients. Several machine-learning models with visualized graphs, decision trees, ensemble learning, and clustering were assessed.

Methods

A retrospective cohort study was conducted using electronic medical records of patients from Wan Fang Hospital and Taipei Medical University Hospital. A total of 1214 patients from Wan Fang Hospital were used to establish a dataset for training and 689 patients from Taipei Medical University Hospital were used as a validation set.

Results

The overall mortality rate of patients in the training set and validation set was 28.3% (257/907) and 22.6% (145/643), respectively. In traditional clinical scoring models, prothrombin time-international normalized ratio, which was significant in the Cox regression (P<.001, hazard ratio 1.288), had a prominent influence on predicting mortality, and the area under the receiver operating characteristic (ROC) curve reached approximately 0.75. In supervised machine-learning models, the concordance statistic of ROC curves reached 0.852 for the random forest model and reached 0.833 for the adaptive boosting model. Blood urea nitrogen, bilirubin, and sodium were regarded as critical factors for predicting mortality. Creatinine, hemoglobin, and albumin were also significant mortality predictors. In unsupervised learning models, hierarchical clustering analysis could accurately group acute death patients and palliative care patients into different clusters from patients in the survival group.

Conclusions

Medical artificial intelligence has become a cutting-edge tool in clinical medicine, as it has been found to have predictive ability in several diseases. The machine-learning monitoring system developed in this study involves multifaceted analyses, which include various aspects for evaluation and diagnosis. This strength makes the clinical results more objective and reliable. Moreover, the visualized interface in this system offers more intelligible outcomes. Therefore, this machine-learning monitoring system provides a comprehensive approach for assessing patient condition, and may help to classify acute death patients and palliative care patients. Upon further validation and improvement, the system may be used to help physicians in the management of ESLD patients.

Approach to the liver transplant early postoperative period: an institutional standpoint

The liver transplant program in our center started in 1992, and post-liver transplant patients are still admitted to the intensive care unit. For the intensive care physician, a learning curve started then, skills were acquired, and a specific practice was established. Throughout this time, several concepts changed, improving the care of these patients. The practical approach varies between liver transplant centers, according to local specificities. Hence, we wanted to present our routine practice to stimulate the debate between dedicated teams, which can allow the introduction of new ideas and potentially improve each local standard of care.

Complications Following Liver Transplant at a Teaching Hospital

OBJECTIVE

The objective of this study is to analyze the liver transplant complications in a reference transplant hospital in southern Brazil.

METHODS

The researchers used a cross-sectional, quantitative, exploratory, and descriptive study, conducted using 103 medical records of patients who underwent liver transplantation from 2011 to 2018. Data were analyzed through median, mean, and standard deviation, and the Kruskal-Wallis test was used.

RESULTS

There was a higher proportion of men (70.9%), with a mean age of 53.3 years, who had hepatitis C (43.7%). The indication for the procedure was hepatocellular carcinoma (34%). The most frequent complications included pulmonary (26.7%), graft-related complications such as rejection (21.1%), and viral infections (14.4%). In addition, infectious complications, such as pneumonia (45%) and septicemia (29%), occurred. The main causes of death were septic shock (15.6%) and multiple organ failure (21.9%). There was statistical significance between the recipient's age and the Model for End-Stage Liver Disease value at the time of transplantation for the development of complications.

CONCLUSIONS

The data from the present study provide important information about liver transplant. These data may enable the team to propose strategies for practice improvements, which will certainly offer better living conditions and transplant survival.

The Predictive Ability of the Glasgow Prognostic Score and Variants in Both Deceased Donor and Living Donor Liver Transplantation for Hepatocellular Cancer

AIM

Liver transplantation (LT) is the most promising treatment method in hepatocellular cancer (HCC). Due to the shortage of organ donors and the possible risks associated with living donation, the selection of patients for LT is critical. The aim of this study is to investigate the predictive ability of the Glasgow Prognostic Score (GPS), modified GPS (mGPS), and hepatic GPS (hGPS) on prognoses in a patient group who underwent deceased donor LT (DDLT) or living-donor LT (LDLT) for HCC.

PATIENTS AND METHODS

This study includes 62 DDLT and 55 LDLT patients who underwent LT for HCC between 1998 and 2016 in a single center. The study endpoints were recurrence, 0- to 1-year mortality, 0- to 3-year mortality, mortality, and overall survival (OS).

RESULTS

The median follow-up time was 70.24 ± 48.47 months. GPS and hGPS positivity were found to be prognostic indicators of 0- to 3-year mortality and overall mortality in DDLT (P = .012, P = .006; P = .044 and P = .022 respectively). In the LDLT group, GPS was found to be effective in predicting 0- to 1-year and 0- to 3-year mortality (P = .045, P = .022 respectively); GPS and hGPS were also found to be effective in predicting overall mortality (P = .001 and P = .046 respectively). The OS was significantly longer in the GPS 0 group and hGPS 0 group compared to the GPS 1-2 and hGPS 1-2 group in both DDLT and LDLT.

CONCLUSION

The findings of this study and the literature indicate that using GPS and hGPS is appropriate in selecting patients with HCC who are candidates for LT.

Exercise as an intervention for patients with end-stage liver disease: Systematic review

BACKGROUND

Various etiologies of chronic liver disease often result in cirrhosis. Beside obvious liver-related complications, cirrhosis also leads to loss of muscle mass and decreased exercise capacity. In this study, our aim was to conduct a systematic review of literature to investigate the efficacy of exercise interventions in patients with cirrhosis.

METHOD

PubMed was used to perform the literature search. The mesh terms used were the following: (liver (and) cirrhosis (and) exercise or (exercise therapy)). The following terms were excluded: Non-alcoholic fatty liver disease (NAFLD). The search was limited to the English language and human research. The initial search was conducted on December 6, 2016 and re-reviewed May 2017.

RESULTS

Seven studies met selection criteria. Training interventions ranged between 4 and 14 weeks in duration with an exercise frequency of 3 to 5 days per week. Most studies demonstrated an increase in maximal oxygen consumption using gas exchange techniques. Two of 3 studies demonstrated increased distance covered in the 6-minute walk test. One study showed a clinically significant decrease in hepatic venous pressure gradient, while another showed a transient increase only during exercise. There were no adverse effects of the exercise program reported.

CONCLUSIONS

Exercise in selected patients with cirrhosis can have potential benefit in endurance and functional outcome measures without adverse effect from exercise.

Survival prediction among patients with non-cancer-related end-stage liver disease

Background

Predicting the survival of non-cancer related end-stage-liver-disease patients in general practice has been difficult for physicians because of the extremely variable trajectories due to multiple complex clinical factors, hence it remains a challenging issue to date. This study aimed to develop and validate a specific prognostic scoring system to early recognize the prognosis and improve the quality of end-of life care for non-cancer end-stage-liver-disease population.

Materials and methods

A multicentre, retrospective cohort study was conducted during January 2010 ~ December 2012 and continued follow-up until December 2014. A cox proportional hazard regression analysis was used to derive and validate an optimized model. The main outcome measures were the 28-day, 3-month, 6-month, and 12-month mortality prediction. The performance of the novel model was evaluated, including discrimination and calibration.

Results

A total of 4,080 consecutive subjects were enrolled. The AUROCs for the 3-month survival discrimination in the MELD, MELD-Na and novel model were 0.787, 0.705 and 0.804 (P<0.001); the 6-month survival discrimination were 0.781, 0.702 and 0.797 (P<0.001); the overall survival discrimination were 0.771, 0.694 and 0.785 (P = 0.002) respectively, whereas the novel model showed a significantly higher discrimination power than did the MELD and MELD-Na for the 3-month, 6-month and overall survival prediction. In addition, calibration of external validation cohort showed no statistical difference in all 5 groups compared with the observed groups.

Conclusion

This is a clinically relevant, validated scoring system that can be used sequentially to stratify the prognosis in non-cancer cirrhotic populations, which may help the patients along with medical team in decision making to improve the quality of end-of-life care.

More severe deficits in functional status associated with higher mortality among adults awaiting liver transplantation

The impact of functional status on liver transplant (LT) waitlist outcomes is not well studied. Early evidence suggests frailty portends increased mortality. We aim to evaluate the association of functional status with LT waitlist survival and the probability of receiving LT among adults with cirrhosis. Using 2005-2016 United Network for Organ Sharing (UNOS) data, we retrospectively assessed the association of functional status, as determined by Karnofsky Performance Status Score (KPSS) with LT waitlist survival and the probability of receiving LT using Kaplan-Meier and multivariate Cox proportional hazard models. Among 118 954 patients listed for LT, patients with worse Karnofsky scores, indicating poor functional status, were progressively more likely to receive liver transplantation compared to patients with better scores, with the most functionally disabled group having 68% higher probability of receiving LT (HR 1.68; 95% CI 1.61-1.75, P < 0.001). Worse functional status was associated with increased waitlist mortality, with the most functionally disabled group 97% more likely to die on the waitlist (HR 1.97; 95% CI 1.81-2.16, P < 0.001). In conclusion, among patients awaiting LT, worse functional status was associated with significantly higher waitlist mortality.