ObjectiveTo figure out the factors affecting the prognosis of liver transplantation and the research progress on methods for predicting the prognosis of liver transplantation so as to provide guidance and reference for the distribution of liver sources and the perioperative treatment of liver transplantation.MethodThe literatures related to the factors influencing the prognosis of liver transplantation and the methods in predicting the prognosis were searched in the PubMed, CNKI, Wanfang, and other databases and the results were analyzed and summarized.ResultsThe liver transplantation was an effective method in the treatment of end-stage liver diseases. The main factors affecting the prognosis of liver transplantation included the change of internal environment, systemic inflammatory response, and general systemic conditions. On the basis of Model for End-stage Liver Disease (MELD), the new prediction model built in combination with the blood sodium ion, lactate, muscle mass, or reticulocyte count and hemoglobin concentration had improved the prognostic prediction ability of liver transplantation.ConclusionsIt is possible to predict the prognosis of patients with liver transplantation more accurately by selecting a more targeted prediction model combined with the factors affecting the prognosis of liver transplantation. It might provide a reference for perioperative management and treatment and make the limited liver source play the most role and save more lives.
ObjectiveTo summarize the application of dual-energy CT scanning technology in the liver. MethodsTo search the relevant literatures at home and abroad, then the application of dual-energy CT scanning technology in focal liver lesions, diffuse liver lesions were analyzed and summarized. ResultsDual-energy CT scanning technology can improve detection rate of the focal liver lesions, liver cancer recurrence lesions after local treatment and help to differentiate focal liver lesions, to stage the malignant lesions, and it also can be more accurate quantification of liver iron, fat content, indirect measurement of hepatic blood flow dynamics change situation. ConclusionDual-energy CT scanning technology can improve the diagnostic value of CT scanning technology in liver disease.
Objective To understand and analyze technique development of magnetic resonance elastography (MRE) and its application in chronic liver disease. Method The relevant literatures about the application of MRE in the field of chronic liver disease were reviewed. Results The liver fibrosis was a common pathway of chronic liver disease, which would progress to cirrhosis of the liver if untreated. The diagnosis and assessment of fibrosis was important in the treatment of patients with chronic liver disease. The liver biopsy was considered to be the reference standard for clinical assessment of liver fibrosis. However, this technique was invasive and still had inevitable drawbacks in the clinical practice. With the update of the imaging technology and equipment, the MRE had been developed as a safe and noninvasive examination method for the evaluation of liver fibrosis in the chronic liver disease, early diagnosis of nonalcoholic fatty liver disease, evaluation of focal liver lesions, and other clinical applications. Conclusion MRE is currently regarded as an attractive noninvasive technique in management of chronic liver disease.
ObjectiveTo summarize the epidemiology of nonalcoholic fatty liver disease (NAFLD) and the epidemiological and economic burdens of NAFLD, so as to provide a reference for hospital management decision-making. MethodThe domestic and foreign guidelines relevant to NAFLD and the literatures relevant to epidemiological investigation and disease burden researches were summarized and its research progress was reviewed. ResultsThe global prevalence of NAFLD was increasing over years. The incidence, mortality, and disability adjusted life years of liver cirrhosis and liver cancer caused by NAFLD had increased year by year. The patients relevant to NAFLD of inpatients and outpatients had increased obviously, and the overall medical expenses had also shown a rising trend. The possible reasons were health care awareness, new drug research, population aging, and excessive medical consumption. In addition, children and adolescents with NAFLD had a obviously increased risk of liver or extrahepatic diseases. ConclusionsBy understanding the epidemiological trend of NAFLD, it is a certain understanding of the disease burden of NAFLD and the related factors affecting the increase of its treatment cost. It is believed that it is necessary to further pay attention to and strengthen the genetic characteristics, pathogenesis, drug research and development, and early diagnosis of cirrhosis and liver cancer relevant to NAFLD in the future. At the same time, the NAFLD group of children and adolescents should not be ignored.
ObjectiveTo summarize the research progress of phytochemicals in the prevention and treatment of alcoholic liver disease and its possible clinical application value.MethodThe current literatures about the preventive and therapeutic effects of phytochemicals on alcoholic liver disease at home and abroad were reviewed.ResultsPhyto- chemicals could prevent and treat alcoholic liver disease by reducing inflammation, reducing oxidative stress, and improving lipid metabolism. They had the advantage of multi-targets.ConclusionPhytochemicals play an important role in the prevention and treatment of alcoholic liver disease, and it also lay a solid foundation for translational medicine.
ObjectiveTo expounded the relationship between phenylalanine, tyrosine and their metabolites and non-alcoholic fatty liver disease (NAFLD). MethodThe literatures related to NAFLD in recent years were reviewed and analyzed. ResultThe levels of phenylalanine, tyrosine and their metabolites had changed significantly in the occurrence and development of NAFLD, and could lead to the progress of NAFLD by affecting the related pathways of lipid metabolism. ConclusionPhenylalanine, tyrosine and their related metabolites are associated with NAFLD, but the specific pathogenesis is still unclear.
Features and interaction between features of liver disease is of great significance for the classification of liver disease. Based on least absolute shrinkage and selection operator (LASSO) and interaction LASSO, the generalized interaction LASSO model is proposed in this paper for liver disease classification and compared with other methods. Firstly, the generalized interaction logistic classification model was constructed and the LASSO penalty constraints were added to the interactive model parameters. Then the model parameters were solved by an efficient alternating directions method of multipliers (ADMM) algorithm. The solutions of model parameters were sparse. Finally, the test samples were fed to the model and the classification results were obtained by the largest statistical probability. The experimental results of liver disorder dataset and India liver dataset obtained by the proposed methods showed that the coefficients of interaction features of the model were not zero, indicating that interaction features were contributive to classification. The accuracy of the generalized interaction LASSO method is better than that of the interaction LASSO method, and it is also better than that of traditional pattern recognition methods. The generalized interaction LASSO method can also be popularized to other disease classification areas.
Objective To summarize the current progress in diagnosis and treatment of polycystic liver disease, and provide ideas for further research direction and clinical practice of polycystic liver disease. Method The domestic and foreign literature about polycystic liver disease was reviewed, screened, and summarized. Results The diagnosis, evaluation, and classification of polycystic liver disease were mainly performed clinically by abdominal ultrasound and CT. Surgical treatment was the main treatment, including aspiration sclerotherapy, fenestration, segmental hepatectomy, and liver transplantation. Conclusions The classification and evaluation scheme of polycystic liver disease needs to be improved, and its medical treatment still needs further research. Estrogen receptor and gonadotropin-releasing hormone receptor are promising therapeutic targets.
ObjectiveTo summarize the changes of gut microbiota after cholecystectomy, the mechanisms of changes, and the relation with colorectal cancer, nonalcoholic fatty liver disease and post-cholecystectomy syndrome after cholecystectomy, in order to provide new ideas for the perioperative management of patients undergoing cholecystectomy. MethodThe studies related to gut microbiota after cholecystectomy at home and abroad were searched and analyzed for review. ResultsThe cholecystectomy disrupted the liver–bile acid–gut flora axis of the patients, and the composition and diversity of the gut microbiota of the patients were altered, and the alteration might lead to the occurrence of colorectal cancer, nonalcoholic fatty liver disease, and post-cholecystectomy syndrome, but the exact mechanism remained unclear. ConclusionsThe balance of intestinal microecology is disrupted after cholecystectomy, and the relation between cholecystectomy and gut microbiota may provide new ideas for the perioperative management of cholecystectomy patients and the prevention and treatment of diseases or symptoms after cholecystectomy, but the effect of cholecystectomy on gut microbiota and the relation with diseases or symptoms still need to be further studied.
【Abstract】Objective To introduce the birth and development of model of endstage liver disease (MELD) and evaluate its effect on liver transplantation(LT) as a new scoring system. Methods Literatures of MELD applied in LT were analyzed retrospectively. Results MELD scoring system was used for predicting the prognosis of patients with endstage liver disease and the death risk of candidates on waiting LT extensively and the order of organ sharing was determined by its predicable results. Conclusion MELD has been had a successful initial implementation for predicting the shortterm survival probability and mortality in patients with endstage liver disease, and meeting the goal of providing a system of allocation that emphasizes the urgency of the candidate while diminishing the reliance on waiting time, which has been proven to be a powerful tool for auditing the liver allocation system.