Evaluation of G3BP1 in the prognosis of acute and acute-on-chronic liver failure after the treatment of artificial liver support system

BACKGROUND The increased expression of G3BP1 was positively correlated with the prognosis of liver failure.AIM To investigate the effect of G3BP1 on the prognosis of acute liver failure(ALF)and acute-on-chronic liver failure(ACLF)after the treatment of artificial liver support system(ALSS).METHODS A total of 244 patients with ALF and ACLF were enrolled in this study.The levels of G3BP1 on admission and at discharge were detected.The validation set of 514 patients was collected to verify the predicted effect of G3BP1 and the viability of prognosis.RESULTS This study was shown that lactate dehydrogenase(LDH),alpha-fetoprotein(AFP)and prothrombin time were closely related to the prognosis of patients.After the ALSS treatment,the patient’amount of decreased G3BP1 index in difference of G3BP1 between the value of discharge and admission(difG3BP1)<0 group had a nearly 10-fold increased risk of progression compared with the amount of increased G3BP1 index.The subgroup analysis showed that the difG3BP1<0 group had a higher risk of progression,regardless of model for end-stage liver disease high-risk or low-risk group.At the same time,compared with the inflam matory marks[tumor necrosis factor-α,interleukin(IL)-1βand IL-18],G3BP1 had higher discrimination and was more stable in the model analysis and validation set.When combined with AFP and LDH,concordance index was respectively 0.84 and 0.8 in training and validation cohorts.CONCLUSION This study indicated that G3BP1 could predict the prognosis of ALF or ACLF patients treated with ALSS.The combination of G3BP1,AFP and LDH could accurately evaluate the disease condition and predict the clinical endpoint of patients.

Nursing Care of 10 Patients with Vasovagal Reflex Caused by Artificial Liver Support System Treatment

This study outlines the essential nursing strategies employed in the care of 10 patients experiencing vascular vagal reflex, managed with artificial liver support systems. It highlights a holistic nursing approach tailored to the distinct clinical manifestations of these patients. Key interventions included early detection of psychological issues prior to initiating treatment, the implementation of comprehensive health education, meticulous monitoring of vital signs throughout the therapy, prompt emergency interventions when needed, adherence to prescribed medication protocols, and careful post-treatment observations including venous catheter management. Following rigorous treatment and dedicated nursing care, 7 patients demonstrated significant improvement and were subsequently discharged.

Revolutionizing disease diagnosis and management:Open-access magnetic resonance imaging datasets a challenge for artificial intelligence driven liver iron quantification

Artificial intelligence(AI),particularly machine learning(ML)and deep learning(DL)techniques,such as convolutional neural networks(CNNs),have emerged as transformative technologies with vast potential in healthcare.Body iron load is usually assessed using slightly invasive blood tests(serum ferritin,serum iron,and serum transferrin).Serum ferritin is widely used to assess body iron and drive medical management;however,it is an acute phase reactant protein offering wrong interpretation in the setting of inflammation and distressed patients.Magnetic resonance imaging is a non-invasive technique that can be used to assess liver iron.The ML and DL algorithms can be used to enhance the detection of minor changes.However,a lack of open-access datasets may delay the advancement of medical research in this field.In this letter,we highlight the importance of standardized datasets for advancing AI and CNNs in medical imaging.Despite the current limitations,embracing AI and CNNs holds promise in revolutionizing disease diagnosis and treatment.

Past,present,and future perspectives of ultrasound-guided ablation of liver tumors:Where could artificial intelligence lead interventional oncology?

The first ablation procedures for small hepatocellular carcinomas were percutaneous ethanol injection under ultrasound(US)guidance.Later,radiofrequency ablation was shown to achieve larger coagulation areas than percutaneous ethanol injection and became the most used ablation technique worldwide.In the past decade,microwave ablation systems have achieved larger ablation areas than radiofrequency ablation,suggesting that the 3-cm barrier could be broken in the treatment of liver tumors.Likewise,US techniques to guide percutaneous ablation have seen important progress.Contrast-enhanced US(CEUS)can define and target the tumor better than US and can assess the size of the ablation area after the procedure,which allows immediate retreatment of the residual tumor foci.Furthermore,fusion imaging fuses real-time US images with computed tomography or magnetic resonance imaging with significant improvements in detecting and targeting lesions with low conspicuity on CEUS.Recently,software powered by artificial intelligence has been developed to allow three-dimensional segmentation and reconstruction of the anatomical structures,aiding in procedure planning,assessing ablation completeness,and targeting the residual viable foci with greater precision than CEUS.Hopefully,this could lead to the ablation of tumors up to 5-7 cm in size.

A bioartificial transgenic porcine whole liver expressing human proteins alleviates acute liver failure in pigs

Background:Preventing heterologous protein influx in patients is important when using xenogeneic bioartificial livers(BALs)to treat liver failure.The development of transgenic porcine livers synthesizing human proteins is a promising approach in this regard.Here,we evaluated the safety and efficacy of a transgenic porcine liver synthesizing human albumin(h ALB)and coagulation factor VII(h FVII)within a bioartificial system.Methods:Tibetan miniature pigs were randomly subjected to different interventions after surgeryinduced partially ischemic liver failure.Group A(n=4)was subjected to basic treatment;group B(n=4)was to standard medical treatment and wild-type porcine BAL perfusion,and group C(n=2)was to standard medical treatment and transgenic BAL perfusion.Biochemical parameters,coagulation status,survival time,and pathological changes were determined.Expressions of h ALB and h FVII were detected using immunohistochemistry and enzyme-linked immunosorbent assays.Results:The survival time in group A was 9.75±1.26 days;this was shorter than that in both perfused groups,in which all animals reached an endpoint of 12 days(P=0.006).Ammonia,bilirubin,and lactate levels were significantly decreased,whereas albumin and fibrinogen levels were increased after perfusion(all P<0.05).h ALB and h FVII were detected in transgenic BAL-perfused pig serum and ex vivo in the liver tissues.Conclusions:The humanized transgenic pig livers could synthesize and secrete h ALB and h FVII ex vivo in a whole organ-based bioartificial system,while maintaining their metabolism,detoxification,transformation,and excretion functions,which were comparable to those observed in wild-type porcine livers.Therefore,the use of transgenic bioartificial whole livers is expected to become a new approach in treating acute liver failure.

Drug-induced liver injury and COVID-19:Use of artificial intelligence and the updated Roussel Uclaf Causality Assessment Method in clinical practice

BACKGROUND Liver injury is a relevant condition in coronavirus disease 2019(COVID-19)inpatients.Pathophysiology varies from direct infection by virus,systemic inflammation or drug-induced adverse reaction(DILI).DILI detection and monitoring is clinically relevant,as it may contribute to poor prognosis,prolonged hospitalization and increase indirect healthcare costs.Artificial Intelligence(AI)applied in data mining of electronic medical records combining abnormal liver tests,keyword searching tools,and risk factors analysis is a relevant opportunity for early DILI detection by automated algorithms.AIM To describe DILI cases in COVID-19 inpatients detected from data mining in electronic medical records(EMR)using AI and the updated Roussel Uclaf Causality Assessment Method(RUCAM).METHODS The study was conducted in March 2021 in a hospital in southern Brazil.The NoHarm©system uses AI to support decision making in clinical pharmacy.Hospital admissions were 100523 during this period,of which 478 met the inclusion criteria.From these,290 inpatients were excluded due to alternative causes of liver injury and/or due to not having COVID-19.We manually reviewed the EMR of 188 patients for DILI investigation.Absence of clinical information excluded most eligible patients.The DILI assessment causality was possible via the updated RUCAM in 17 patients.RESULTS Mean patient age was 53 years(SD±18.37;range 22-83),most were male(70%),and admitted to the non-intensive care unit sector(65%).Liver injury pattern was mainly mixed,mean time to normalization of liver markers was 10 d,and mean length of hospitalization was 20.5 d(SD±16;range 7-70).Almost all patients recovered from DILI and one patient died of multiple organ failure.There were 31 suspected drugs with the following RUCAM score:Possible(n=24),probable(n=5),and unlikely(n=2).DILI agents in our study were ivermectin,bicalutamide,linezolid,azithromycin,ceftriaxone,amoxicillin-clavulanate,tocilizumab,piperacillin-tazobactam,and albendazole.Lack of essential clinical information excluded most patients.Although rare,DILI is a relevant clinical condition in COVID-19 patients and may contribute to poor prognostics.CONCLUSION The incidence of DILI in COVID-19 inpatients is rare and the absence of relevant clinical information on EMR may underestimate DILI rates.Prospects involve creation and validation of alerts for risk factors in all DILI patients based on RUCAM assessment causality,alterations of liver biomarkers and AI and machine learning.

Liver transplantation and artificial liver support in fulminant hepatic failure

INTRODUCTIONFulminant hepatic failure(FHF)is a severe disease with devastating consequences;the incidence is high in China.Before the availability of liver transplantation,the mortality rate was more than 80%[1,2].The advent of liver transplantation revolutionized the outcome of FHF[3,4].However,many patients were unwilling to accept liver transplantation until very late,hence most of them died because of donor shortage and urgency of the disease[5-7],To overcome he problems,we performed orthotopic liver transplantation(OLT)in combination with artificial liver support(ALS) in the treatment of FHF in the past 2 years with satisfactory results.Our experience was reported below.

Hybrid bioartificial liver support in cynomolgus monkeys with D-galactosamine-induced acute liver failure

AIM: To evaluate a hybrid bioartificial liver support system (HBALSS) in cynomolgus monkeys with acute liver failure.

Comparison between bioartificial and artificial liver for the treatment of acute liver failure in pigs

AIM： To characterize and evaluate the therapeutic efficacy of bioartificial liver （BAL） as compared to that of continuous hemodiafiltration （CHDF） with plasma exchange （PE）, which is the current standard therapy for fulminant hepatic failure （FHF） in Japan. METHODS： Pigs with hepatic devascularization were divided into three groups： （1） a non-treatment group （NT; n = 4）; （2） a BAL treatment group （BAL; n = 4）, （3） a PE ＋ CHDF treatment group using 1.5 L of normal porcine plasma with CHDF （PE ＋ CHDF, n -- 4）. Our BAL system consisted of a hollow fiber module with 0.2 i^m pores and 1 × 10^10 of microcarrier-attached hepatocytes inoculated into the extra-fiber space. Each treatment was initiated 4 h after hepatic devascularization. RESULTS： The pigs in the BAL and the PE ＋ CHDF groups survived longer than those in the NT group. The elimination capacity of blood ammonia by both BAL and PE ＋ CHDF was significantly higher than that in NT. Aromatic amino acids （AAA） were selectively eliminated by BAL, whereas both AAA and branched chain amino acids, which are beneficial for life, were eliminated by PE ＋ CHDF. Electrolytes maintenance and acid-base balance were better in the CPE ＋ CHDF group than that in the BAL group. CONCLUSION： Our results suggest that PE ＋ CHDF eliminate all factors regardless of benefits, whereas BAL selectively metabolizes toxic factors such as AAA. However since PE ＋ CHDF maintain electrolytes and acid-base balance, a combination therapy of BAL plus CPE ＋ CHDF might be more effective for FHF.

Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver

Artificial intelligence(AI)has experienced substantial progress over the last ten years in many fields of application,including healthcare.In hepatology and pancreatology,major attention to date has been paid to its application to the assisted or even automated interpretation of radiological images,where AI can generate accurate and reproducible imaging diagnosis,reducing the physicians’workload.AI can provide automatic or semi-automatic segmentation and registration of the liver and pancreatic glands and lesions.Furthermore,using radiomics,AI can introduce new quantitative information which is not visible to the human eye to radiological reports.AI has been applied in the detection and characterization of focal lesions and diffuse diseases of the liver and pancreas,such as neoplasms,chronic hepatic disease,or acute or chronic pancreatitis,among others.These solutions have been applied to different imaging techniques commonly used to diagnose liver and pancreatic diseases,such as ultrasound,endoscopic ultrasonography,computerized tomography(CT),magnetic resonance imaging,and positron emission tomography/CT.However,AI is also applied in this context to many other relevant steps involved in a comprehensive clinical scenario to manage a gastroenterological patient.AI can also be applied to choose the most convenient test prescription,to improve image quality or accelerate its acquisition,and to predict patient prognosis and treatment response.In this review,we summarize the current evidence on the application of AI to hepatic and pancreatic radiology,not only in regard to the interpretation of images,but also to all the steps involved in the radiological workflow in a broader sense.Lastly,we discuss the challenges and future directions of the clinical application of AI methods.

Application status of artificial neural network in related research of liver cancer

The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization.The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cancer,but it is difficult for clinicians to effectively analyze and integrate a large amount of data from multiple dimensions and angles of precision medicine,so it is difficult totthem to provide the best treatment plan for liver cancer patients.Artificial neural networks have powerful integration,analysis and autonomous learning capabilities,which can effectively improve the accuracy of diagnosis,staging,prognosis and treatment of liver cancer patients,and are of great significance to the development of precision medicine for liver cancer.Therefore,this article reviews the application status of Artificial neural networks in the field of liver cancer.

Liver volumetric and anatomic assessment in living donor liver transplantation: The role of modern imaging and artificial intelligence

The shortage of deceased donor organs has prompted the development of alternative liver grafts for transplantation.Living-donor liver transplantation(LDLT)has emerged as a viable option,expanding the donor pool and enabling timely transplantation with favorable graft function and improved long-term outcomes.An accurate evaluation of the donor liver’s volumetry(LV)and anatomical study is crucial to ensure adequate future liver remnant,graft volume and precise liver resection.Thus,ensuring donor safety and an appropriate graftto-recipient weight ratio.Manual LV(MLV)using computed tomography has traditionally been considered the gold standard for assessing liver volume.However,the method has been limited by cost,subjectivity,and variability.Automated LV techniques employing advanced segmentation algorithms offer improved reproducibility,reduced variability,and enhanced efficiency compared to manual measurements.However,the accuracy of automated LV requires further investigation.The study provides a comprehensive review of traditional and emerging LV methods,including semi-automated image processing,automated LV techniques,and machine learning-based approaches.Additionally,the study discusses the respective strengths and weaknesses of each of the aforementioned techniques.The use of artificial intelligence(AI)technologies,including machine learning and deep learning,is expected to become a routine part of surgical planning in the near future.The implementation of AI is expected to enable faster and more accurate image study interpretations,improve workflow efficiency,and enhance the safety,speed,and cost-effectiveness of the procedures.Accurate preoperative assessment of the liver plays a crucial role in ensuring safe donor selection and improved outcomes in LDLT.MLV has inherent limitations that have led to the adoption of semi-automated and automated software solutions.Moreover,AI has tremendous potential for LV and segmentation;however,its widespread use is hindered by cost and availability.Therefore,the integration of multiple specialties is necessary to embrace technology and explore its possibilities,ranging from patient counseling to intraoperative decision-making through automation and AI.

Experimental research on TECA-I bioartificial liver support system to treat canines with acute liver failure

AIM: To evaluate the efficacy and safety of the TECA-I bioartificial liver support system (BALSS) in treating canines with acute liver failure (ALF). METHODS: Ten canines with ALF induced by 80% liver resection received BALSS treatment (BALSS group). Blood was perfused through a hollow fiber tube containing 1X10(10) porcine hepatocytes.Four canines with ALF were treated with BALSS without porcine hepatocytes (control group), and five canines with ALF received drug treatment (drug group). Each treatment lasted 6 hours. RESULTS: BALSS treatment yielded beneficial effects for partial liver resection induced ALF canines with survival and decreased plasma ammonia, ALT, AST and BIL. There was an obvious decrease in PT level and increase in PA level, and there were no changes in the count of lymphocytes, immunoglobulins (IgA, IgG and IgM) and complement (C3 and C4) levels after BALSS treatment. In contrast, for the canines with ALF in non-hepatocyte BALSS group (control group) and drug group, there were no significant changes in ammonia, ALT, AST, BIL, PT and PA levels. ALF canines in BALSS group, control group and drug group lived respectively an average time of 108.0h +/- 12.0h, 24.0h +/- 6.0h and 20.4h +/- 6.4h,and three canines with ALF survived in BALSS group. CONCLUSION: TECA-I BALSS is efficacious and safe for ALF canines induced by partial liver resection.

TECA hybrid artificial liver support system in treatment of acute liver failure

AIM: To assess the efficacy and safety of TECA type hybrid artificial liver support system (TECA-HALSS) in providing liver function of detoxification, metabolism and physiology by treating the patients with acute liver failure (ALF). METHODS: The porcine liver cells (1-2) x 10(10) were separated from the Chinese small swine and cultured in the bioreactor of TECA-BALSS at 37.0 degrees C and circulated through the outer space of the hollow fiber tubes in BALSS. The six liver failure patients with various degree of hepatic coma were treated by TECA-HALSS and with conventional medicines. The venous plasma of the patients was separated by a plasma separator and treated by charcoal adsorbent or plasma exchange. The plasma circulated through the inner space of the hollow fiber tubes of BALSS and mixed with the patients' blood cells and flew back to their blood circulation. Some small molecular weight substances were exchanged between the plasma and porcine liver cells. Each treatment lasted 6.0-7.0 h. Physiological and biochemical parameters were measured before,during and after the treatment. RESULTS: The average of porcine liver cells was (1.0-3.0) x 10(10) obtained from each swine liver using our modified enzymatic digestion method. The survival rate of the cells was 85%-93% by trypan blue stain and AO/PI fluorescent stain. After cultured in TECA-BALSS bioreactor for 6 h, the survival rate of cells still remained 70%-85%. At the end of TECA-HALSS treatment, the levels of plasma NH(3), ALT, TB and DB were significantly decreased. The patients who were in the state of drowsiness or coma before the treatment improved their appetite significantly and regained consciousness, some patients resumed light physical work on a short period after the treatment.One to two days after the treatment, the ratio of PTA increased warkedly. During the treatment, the heart rates, blood pressure, respiration condition and serum electrolytes (K(+), Na(+) and Cl(-)) were stable without thrombosis and bleeding in all the six patients. CONCLUSION: TECA-HALSS treatment could be a rapid, safe and efficacious method to provide temporary liver support for patients with ALF.

Plasma exchange-centered artificial liver support system in hepatitis B virus-related acute-onchronic liver failure:a nationwide prospective multicenter study in China

BACKGROUND： Plasma exchange （PE）-centered artificial liver support system reduced the high mortality rate of hepa titis B virus （HBV）-related acute-on-chronic liver failure （ACLF）. But the data were diverse in different medical centers. The present prospective nationwide study was to evaluate the effects of PE on patients with HBV-ACLF at different stages.

Advances in cell sources of hepatocytes for bioartificial liver

BACKGROUND: Orthotopic liver transplantation (OLT) is the most effective therapy for liver failure. However, OLT is severely limited by the shortage of liver donors. Bioartificial liver (BAL) shows great potential as an alternative therapy for liver failure In recent years, progress has been made in BAL regarding genetically engineered cell lines, immortalized human hepatocytes, methods for preserving the phenotype of primary human hepatocytes, and other functional hepatocytes derived from stem cells. DATA SOURCES: A systematic search of PubMed and ISI Web of Science was performed to identify relevant studies in English language literature using the Key words such as liver failure bioartificial liver, hepatocyte, stem cells, differentiation, and immortalization. More than 200 articles related to the cell sources of hepatocyte in BAL were systematically reviewed. RESULTS: Methods for preserving the phenotype of primary human hepatocytes have been successfully developed. Many genetically engineered cell lines and immortalized human hepatocytes have also been established. Among these cell lines the incorporation of BAL with GS-HepG2 cells or alginate encapsulated HepG2 cells could prolong the survival time and improve pathophysiological parameters in an animal model of liver failure. The cBAL111 cells were evaluated using the AMC-BAL bioreactor, which could eliminate ammonia and lidocaine, and produce albumin. Importantly, BAL loading with HepLi-4 cells could significantly improve the blood biochemical parameters, and prolong the survival time in pigs with liver failure. Other functional hepatocytes differentiated from stem cells, such as human liver progenitor cells, have been successfully achieved. CONCLUSIONS: Aside from genetically modified liver cell lines and immortalized human hepatocytes, other functionalhepatocytes derived from stem cells show great potential as cell sources for BAL. BAL with safe and effective liver cells may be achieved for clinical liver failure in the near future.

Artificial liver support in pigs with acetaminophen-induced acute liver failure

AIM To establish a reversible porcine model of acute liver failure(ALF) and treat it with an artificial liver system. METHODS Sixteen pigs weighing 30-35 kg were chosen and administered with acetaminophen(APAP) to induce ALF. ALF pigs were then randomly assigned to either an experimental group(n = 11), in which a treatment procedure was performed, or a control group(n = 5). Treatment was started 20 h after APAP administration and continued for 8 h. Clinical manifestations of all animals, including liver and kidney functions, serum biochemical parameters and survival times were analyzed. RESULTS Twenty hours after APAP administration, the levels of serum aspartate aminotransferase, total bilirubin, creatinine and ammonia were significantly increased, while albumin levels were decreased(P < 0.05). Prothrombin time was found to be extended with progression of ALF. After continuous treatment for 8 h(at 28 h), aspartate aminotransferase, total bilirubin, creatinine, and ammonia showed a decrease in comparison with the control group(P < 0.05). A cross-section of livers revealed signs of vacuolar degeneration, nuclear fragmentation and dissolution.Concerning survival, porcine models in the treatment group survived for longer times with artificial liver system treatment(P < 0.05). CONCLUSION This model is reproducible and allows for quantitative evaluation of new liver systems, such as a bioartificial liver. The artificial liver system(ZHj-3) is safe and effective for the APAP-induced porcine ALF model.

Performance of cold-preserved rat liver Microorgans as the biological component of a simplified prototype model of bioartificial liver

AIMTo develop a simplified bioartificial liver (BAL) device prototype, suitable to use freshly and preserved liver Microorgans (LMOs) as biological component. METHODSThe system consists of 140 capillary fibers through which goat blood is pumped. The evolution of hematocrit, plasma and extra-fiber fluid osmolality was evaluated without any biological component, to characterize the prototype. LMOs were cut and cold stored 48 h in BG35 and ViaSpan® solutions. Fresh LMOs were used as controls. After preservation, LMOs were loaded into the BAL and an ammonia overload was added. To assess LMOs viability and functionality, samples were taken to determine lactate dehydrogenase (LDH) release and ammonia detoxification capacity. RESULTSThe concentrations of ammonia and glucose, and the fluids osmolalities were matched after the first hour of perfusion, showing a proper exchange between blood and the biological compartment in the minibioreactor. After 120 min of perfusion, LMOs cold preserved in BG35 and ViaSpan® were able to detoxify 52.9% ± 6.5% and 53.6% ± 6.0%, respectively, of the initial ammonia overload. No significant differences were found with Controls (49.3% ± 8.8%, P ® cold preserved LMOs, respectively (n = 6, P CONCLUSIONThis prototype relied on a simple design and excellent performance. It’s a practical tool to evaluate the detoxification ability of LMOs subjected to different preservation protocols.

Application Status and Prospect of Bio-artificial Liver

Liver failure which can be caused by viral hepatitis,alcohol,drugs,metabolic diseases,autoimmune processes or other fac tors is the end stage of chronic liver disease.Although liver transplantation is currently considered to be the primary treatment measures of chronic liver disease.Due to donor shortages,surgical complications and immune rejection,cell therapy has been extensively studied.?Hepa tocyte transplantation and artificial liver have evolved into a simpler alternative to liver failure treatment.Artificial liver can be used as Liver replacement therapy in patients who were waiting for the liver transplantation with chronic liver disease.The ideal biological artificial liver must have the liver material metabolism,detoxification,synthesis and secretion and other functions.Nowadays bio-artificial liver has carried out a large number of clinical trials and get some progress.?This article is now discuss the status of bio-artificial liver and its re placement therapy prospects.

Hybrid artificial liver support system for treatment of severe liver failure

AIM: To construct a novel hybrid artificial liver support system (HALSS) and to evaluate its efficacy in patients with severe liver failure.METHODS: Hepatocytes were isolated from suckling pig by the modified Seglen's method. Isolated hepatocytes were cultured in a spinner flask for 24 h to form spheroids before use and the functions of spheroids were detected. HALSS consisted of a plasma separator, a hemo-adsorba and a bioreactor with hepatocytes spheroids in its extra-fiber space.HALSS was applied to 10 patients with severe liver failure.The general condition and the biochemical indexes of the patients were studied just before and after the treatment.RESULTS: The number of cells per liver was about 2-4× 1010 (mean, 3.1 ± 1.5 × 1010). The cell viabilities were more than 95%. After 24 h of spheroid culture, most hepatocytes formed spheroids. The levels of albumin and urea in the medium of spheroid culture were higher than those in supernatant of petri dish culture (P = 0.0015 and 0.0001, respectively). The capacity of albumin production and urea synthesis remained stable for more than one wk and declined rapidly after two weeks in vitro. In HALSS group, the duration of HALSS treatment was 6-10 h each time. All patients tolerated the treatment well without any fatal adverse reaction. After HALSS treatment, the general condition, psychic state, encephalopathy and hepatic function of the patients were improved. The survival rate of the HALSS group, Plasmapheresis group and control group was 30% (3/10), 20% (2/10) and 0% (0/10), respectively (P = 0.024). Two weeks after treatment, Tbil and ALT decreased and the PTA level elevated in HALSS group and pasmapheresis group (Pvalue: 0.015 vs 0.020, 0.009vs 0.012 and 0.032 vs 0.041, respectively). But there was no significant change of blood albumin concentration before and after treatment in HAlSS group and Plasmapheresis group.CONCLUSION: The HALSS established by us is effective in supporting liver function of patients with severe liver failure.