Literature DB >> 33419900

Cohort profile: a multicentre prospective validation cohort of the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study.

Xin Sun1, Hai Li2,3, Liang Qiao4,3, Xianbo Wang5, Guohong Deng6, Yan Huang7, Jinjun Chen8, Zhongji Meng9, Xin Zheng10, Yu Shi11,12,13, Zhiping Qian14, Feng Liu15, Yanhang Gao16, Xiaobo Lu17, Junping Liu18, Wenyi Gu4,3, Yan Zhang4,3, Tongyu Wang4,3, Dandan Wu4,3, Fuchen Dong4,3.   

Abstract

PURPOSE: Acute-on-chronic liver failure (ACLF) is a clinical syndrome with high short-term mortality, unclear mechanism and controversial diagnosis criteria. The Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study has been conducted in China to fill the gaps. In the first phase (the CATCH-LIFE investigation cohort), 2600 patients were continuously recruited from 14 national nationwide liver centres from 12 different provinces of China in 2015-2016, and a series of important results were obtained. To validate the preliminary results, we designed and conducted this multicentre prospective observational cohort (the CATCH-LIFE validation cohort). PARTICIPANTS: Patients diagnosed with chronic liver disease and hospitalised for acute decompensation (AD) or acute liver injure were enrolled, received standard medical therapy. We collected the participants' demographics, medical history, laboratory data, and blood and urine samples during their hospitalisation. FINDINGS TO DATE: From September 2018 to March 2019, 1370 patients (73.4% men) aged from 15 to 79 years old were enrolled from 13 nationwide liver centres across China. Of these patients, 952 (69.5%) had chronic hepatitis B, 973 (71.1%) had cirrhosis and 1083 (79.1%) complicated with AD at admission. The numbers and proportions of enrolled patients from each participating centre and the patients' baseline characteristics are presented. FUTURE PLANS: A total of 12 months is required for each participant to complete follow-up. Outcome information (survival, death or receiving liver transplantation) collection and data cleansing will be done before June 2020. The data in the CATCH-LIFE validation cohort will be used for comparison between the new ACLF diagnostic criteria derivated from the CATCH-LIFE investigation cohort with existing ones. Moreover, future proteomic and metabolic omics analyses will provide valuable insights into the mechanics of ACLF, which will promote the development of specific therapy that leads to decrease patients' mortality. REGISTRATION: NCT03641872. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; hepatobiliary disease; hepatology

Year:  2021        PMID: 33419900      PMCID: PMC7799133          DOI: 10.1136/bmjopen-2020-037793

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) validation cohort makes the CATCH-LIFE study the unique acute-on-chronic liver failure (ACLF) related study with two independent multicentre prospective cohorts, which provides ample statistical power to clarify certain controversial portions of the ACLF’s definitions and diagnostic criteria. The participants in the study have typical characteristics of ACLF in hepatitis B virus high-endemic areas. The availability of proteomics and metabolomics may illuminate the unclear mechanism of ACLF and provides opportunities to discover novel markers for diagnosis and outcome prediction. The 28-day hospitalisation of participants will clarify the natural course of ACLF. The participating centres of this study are highly coincident with the centres that participated in the CATCH-LIFE investigation study, which could generally limit the effectiveness of the validation.

Introduction

Patients with chronic liver disease and acute deterioration requiring hospitalisation include some potential victims of a dangerous clinical syndrome—acute-on-chronic liver failure (ACLF). ACLF is characterised by chronic liver disease and rapid progression of liver injury, culminating in multiple organ failures and high short-term mortality (over 50% in 90 days).1–3 However, as a possible short-term fatal syndrome, up to 13 definitions4 and several different diagnostic criteria of ACLF1 5–7 exist, causing clinician confusion rather than guidance. Only the diagnostic criteria derived from solid evidence and representative data should be applied in clinical practice. The first evidence-based ACLF diagnostic criterion was proposed in 2013. The European Association for the Study of the Liver-Chronic Liver Failure Consortium (EASL-CLIF), through the CLIF Acute-on-Chronic Liver Failure in Cirrhosis (CANONIC) study in Europe, modified the Sequential Organ Failure Assessment8 score, showed that the failure of 6 organs/system (liver, coagulation, renal, bran, circulation and respiratory) is closely related to the short-term mortality of ACLF patients, and designed the EASL-CLIF Consortium Organ Failure score (OFs) system.1 9 10 Nevertheless, the CANONIC study only covered aetiologies of Western-type ACLF. Alcoholism and hepatitis C virus (HCV) are the main aetiologies of Western-type ACLF,10 while hepatitis B virus (HBV) accounts for most Eastern-type ACLF.11 12 There are also significant differences between Eastern-type and Western-type ACLF in precipitating events, pathogenesis and clinical characteristics, OF type distribution and so on.13 14 Therefore, in East, Southeast and Central Asia where HBV is highly endemic,15 it is unwise to directly introduce diagnostic criteria based on data collected from HBV low-endemic regions.15 The Chinese HBsAg-positive population is estimated to be 86 million, accounting for 30% of HBsAg carriers worldwide and 60% of HBV high-endemic areas,15 which makes China the optimum source of representative data for Eastern-type ACLF. In the beginning of 2015, the Chinese Acute on Chronic Liver Failure (Ch-CLIF) Consortium launched the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) investigation study (NCT02457637). From January 2015 to December 2016, 2600 potential ACLF patients were continuously recruited into the investigation cohort from 14 nationwide liver centres across China. The detailed design and description of the study was published elsewhere.16 Then we described the mathematical meaning of ‘organ failure’, established ‘CATCH-LIFE OFs’ for Eastern-type ACLF diagnosis, developed a prognostic prediction model for patients’ stratification, and obtained other preliminary results on ACLF’s mechanism via multi-omics analysis. All these results shall be milestones in the field, if being validated. Validation from an external cohort is the most convincing type of evidence. However, there is no qualified cohort available currently. Then, we designed and conducted this CATCH-LIFE validation cohort study. The overall study aim is to validate the preliminary results of the CATCH-LIFE investigation cohort study, including possible results obtained in the future. Details are as follows: Initially, the two cohorts of the CATCH-LIFE study will be used to describe patients’ epidemiological characteristics, discover risk factors of the mortality and evidence-based cut-off values of organ failure. Subsequently, in clinical application: To compare CATCH-LIFE OFs with existing ACLF diagnostic criteria and find the most appropriate criteria for Eastern-type ACLF. To estimate the cut-off values for organ failure of ACLF in HBV high-endemic areas. To validate the prognostic prediction model established for assessing patient outcomes. The objective of this section is to ensure the authenticity, reliability and integrity of the clinical data collected. In experimental research: To explore the mechanism of ACLF via multi-omics. To validate the proteomic and metabolic kits for early diagnosis and outcome prediction. The objective of this section is to ensure the quality of bio-specimens during collection, storage and transport.

Cohort description

Overview

The CATCH-LIFE validation study is a multicentre prospective observational cohort study conducted in 13 nationwide liver centres from different provinces of China. All participating centres met the qualifications (online supplemental appendix 1). Patients diagnosed with chronic liver disease and hospitalised for acute deterioration were enrolled. Data were collected according to the case-report forms (online supplemental appendix 2). The study had three processes: recruitment, hospitalisation follow-up and post-discharge follow-up (figure 1). All-cause death, survival and undergoing liver transplantation (LT) were considered the endpoints. Recruitment began in September 2018 and ended in January 2019. The follow-up is ongoing and will last for 12 months.
Figure 1

Flowchart of the study procedures. CATCH-LIFE, Chinese Acute-on-Chronic Liver Failure; LT, liver transplantation.

Flowchart of the study procedures. CATCH-LIFE, Chinese Acute-on-Chronic Liver Failure; LT, liver transplantation.

Selection of centres

Thirteen centres from 11 different provinces (Shanghai, Beijing, Chongqing, Hunan, Hubei, Guangdong, Zhejiang, Shandong, Jilin, Henan and Xinjiang) participated the CATCH-LIFE validation cohort. Their locations, together with the population density of China, are shown in figure 2. Twelve of the 13 centres also participated in the CATCH-LIFE investigation cohort (shown as red dots in figure 2). The First Affiliated Hospital of Zhejiang University in Zhejiang province (shown as the green dot in figure 2) is accepted as a new centre. Two centres (in Tianjin and Fujian provinces) participated in the investigation cohort but are not active in this study (shown as blue dots in figure 2). Despite subtle changes, the distribution of the centres remains close to the population distribution of China; 12/13 centres are in Southeastern China, representing 94% of the Chinese population, and 1/13 centres is in Northwestern China, representing 6% of the population.
Figure 2

The distribution of centres and the population density of China. Thirteen centres from 11 different provinces participated the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) validation cohort. Red dots indicate the 12 of the 13 participating centres that also participated in the CATCH-LIFE investigation cohort. The green dot is the new participating centre in Zhejiang province. Blue dots are two centres in Tianjin and Fujian provinces participated in the investigation cohort but are not active in this study. The distribution of the centres accords with the population distribution of China.

The distribution of centres and the population density of China. Thirteen centres from 11 different provinces participated the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) validation cohort. Red dots indicate the 12 of the 13 participating centres that also participated in the CATCH-LIFE investigation cohort. The green dot is the new participating centre in Zhejiang province. Blue dots are two centres in Tianjin and Fujian provinces participated in the investigation cohort but are not active in this study. The distribution of the centres accords with the population distribution of China.

Study population and recruitment

The study included patients with chronic liver disease (various aetiologies, including cirrhosis or non-cirrhosis conditions) and an exacerbation requiring hospitalisation, referred to as ‘acute-on-chronic liver disease’. In another word, ACLF patients with high short-term mortality and other unstable chronic liver disease patients with low risk of death are both enrolled. The following are detailed inclusion and exclusion criteria.

Inclusion criteria

Patients who met all the following criteria were included. Chronic liver disease with or without cirrhosis, including chronic viral hepatitis, alcoholic liver disease, non-alcoholic fatty liver disease, autoimmune liver disease, metabolic liver disease and chronic drug-induced liver disease. The duration of underlying non-cirrhotic chronic liver disease should be longer than 6 months. Acute liver injury (serum alanine aminotransferase or aspartate transaminase over three times the upper limit of the normal level or total bilirubin (TB) over 2 mg/dL within 1 week before recruitment) or acute decompensation (AD) (hepatic encephalopathy, ascites, gastrointestinal bleeding, bacterial infection within 1 month before recruitment). Inpatients: patients hospitalised or under emergency observation >24 hours.

Exclusion criteria

Patients who met any of the following criteria were excluded. (i) <15 years old or >80 years old; (ii) pregnancy; (iii) malignancy of liver or other organs (including leukaemia); (iv) chronic obstructive pulmonary disease level IV; (v) New York Heart Association (NYHA) Functional Class ≥3; (vi) myocardial infarction within 3 months before admission; (vii) diabetes with severe complications; (viii) chronic kidney disease with end-stage renal failure; (ix) receiving immunosuppressive agents for non-hepatic diseases; (x) patients who participated in the CATCH-LIFE investigation cohort study. Every patient received standard medical therapy and was informed that the choice to participate in the study would not affect their therapeutic regimen. All consenting patients included in the study provided written informed consent. At any stage, if a patient revokes consent, he/she would be withdrawn from the study and not recruited into the study again.

Follow-up and data collection

A total of 12 months is required for each participant to complete hospitalisation follow-up and regular post-discharge follow-up. All-cause death and 12-month survival were considered the endpoints; receiving LT was considered a competitive event versus death. Loss to follow-up was considered a censoring event. Tables 1 and 2 show the details and schedule of data collection during the follow-up. Modularity is the main feature of our data collection schedule. All data elements were divided into 10 modules, and different combinations of modules were collected on days 1, 4, 7, 14, 21 and 28 (or the day before discharge or LT/death for patients hospitalised less than 28 days), making it easier for researchers in data collection and management. Broad categories and data elements collected in the Chinese Acute-on-Chronic Liver Failure validation cohort study AFP, alpha-fetoprotein; AKP, alkaline phosphatase; BUN, blood urea nitrogen; CA199, carbohydrate antigen; γ-GT, gamma-glutamyl transferase; HAV, hepatitis A virus; HBV, hepatitis B virus; HCV, hepatitis C virus; HEV, hepatitis E virus; HGB, haemoglobin; INR, international normalised ratio; PLT, platelet; RBC, red blood cell; WBC, white cell count. Data collection schedule of the Chinese Acute-on-Chronic Liver Failure validation cohort study LT, liver transplantation. The duration of hospitalisation follow-up depended on the patient’s condition and generally did not exceed 28 days. During hospitalisation, patients’ demographic data, contact details, history of disease, clinical/laboratory data, organ failure assessment (online supplemental appendix 2) and extra bio-specimens (whole blood, plasma and urine) were collected on day 1. Some data elements were retaken at days 4, 7, 14, 21 and 28 (or the day before discharge if the patient was hospitalised for less than 28 days). For patients who died or underwent LT, available data 24 hours prior to death/LT were collected. At the end of hospitalisation, patient status (discharge, death or LT) was recorded. The time and the main cause of death or the time of LT and the pathology results of the removed liver were recorded as well. Other important information, particularly hospitalisation duration and expenses, and specific medications were also noted. Whether patients had cirrhosis was diagnosed by imaging examination after enrolment according to signs of dysmorphia and relation to portal hypertension.17 The patients’ post-discharge follow-up was performed via outpatient visits and telephone calls. The time of outpatient visits was not fixed but was recommended to be 4 weeks after discharge. Telephone follow-up was performed monthly for health guidance and patient status check (survival, death or LT). If a patient was alive, the research staff would ask whether any complications (ascites growth, bacterial infection, gastrointestinal bleeding, hepatic encephalopathy and jaundice) occurred or if any malignancy was determined. If a patient died, then the time and the main cause of death was noted. If a patient underwent LT, the location and date of the procedure was recorded.

Ascertainment of AD

According to the concepts of liver-specific complications2 and decompensation events18 in cirrhosis, the CATCH-LIFE study define the following five complications ‘overt ascites’, ‘hepatic encephalopathy (HE)’, ‘gastrointestinal bleeding (variceal bleeding)’, ‘jaundice’ and ‘bacterial infection’ within 1 month before recruitment as AD in the CATCH-LIFE study. Ascites manifested by moderate symmetrical distension of abdomen or with marked abdominal distension19 was the criterion of overt ascites. Moreover, the most depth of ascites ≥50 mm reported by ultrasound was also was defined as overt ascites. Gastrointestinal bleeding was defined by the development of an upper and/or lower gastrointestinal variceal bleeding due to cirrhosis and portal hypertension. The criterion and severity classification of HE was referred West-Haven HE grade.20 The criterion for jaundice was TB >5 mg/dL. Spontaneous bacterial peritonitis, pneumonia, sepsis, urinary tract infection, and cellulitis and any other type of acute bacterial infection were included in bacterial infection, which was defined by laboratory tests and imaging evidence.

Quality control

Electronic data capture system

All elements of the patients’ clinical data were collected through the CRF and integrated into an electronic data capture (EDC) system. The functions of the system include more than electronification. In addition to data storage, security, backup and export, the system has a built-in logical verification system. The logical verification includes unfilled prompts, abnormal value prompts, contradictory prompts and hiding unnecessary parts automatically (such as automatically hiding ‘microbial culture results’ for non-infected patients). Moreover, any traces of the modification of the data is retained. The EDC system maintains the reliability, completeness and accuracy of the data and is helpful in audit trials, management of data-related questions and source data validation.

Personnel training

Complete and timely training of personnel was conducted before the EDC system was implemented. The data manager (DM), principal investigator (PI) and data entry personnel were granted corresponding system rights.

Internal verification

(i) EDC logical verification and data entry personnel self-examination was performed; (ii) the PI and DM performed inspections; (iii) a telephone check-in was conducted weekly; (iv) the PI meeting was conducted every 4 months; (v) on-site verification was conducted when recruitment was completed (March 2019), consisting of eligibility check, extreme value verification, critical case review (such as cases diagnosed with ACLF) and core data elements review.

Raw data traceability archiving

The photographs or screen captures of medical records were taken and preserved as raw data, including medical history, progress notes, vital signs, physical examination, laboratory test results, imaging/pathology data, medication and medical orders. Participants were not identified by name, and confidentiality of the information derived from the medical records was preserved. All related raw data pictures from every centre were stored on their own hard disk, and a classified copy was sent to the responsible centre every quarter. All data had three backups. Pictures of the raw data were only used for backup and backtracking, and all centres (including the coordinating centre) did not have access to the picture data from other centres. A third-party company was responsible for data management, audit and inventory. The database was sent to the data centre of the EASL-CLIF Consortium for quality verification.

Storage and transport of bio-specimens

All biospecimens containing blood, plasma and urine samples were stored at −80°C. At the end of March 2019, all bio-specimens were transported via cold chain (−80°C) to the biological sample bank in Shanghai Renji Hospital (plasma and urine) and Chongqing Southwest Hospital (peripheral blood mononuclear cell (PMBC) DNA isolated from blood samples).

Patient and public involvement

Participants of the CATCH-LIFE validation cohort or the public were not involved in the design, or conduct, or reporting, or dissemination plans of our research.

Findings to date

In total, 1370 patients from 13 centres were enrolled in the CATCH-LIFE validation cohort study, and the number of enrolled patients from each centre in each month are presented in online supplemental appendix 3. The top five centres with the largest numbers of enrolled patients were Beijing Ditan Hospital (n=199), Chongqing Southwest Hospital (n=178), Hunan Xiangya Hospital (n=167), Shanghai Ren Ji Hospital (n=162) and Guangzhou Nanfang Hospital (n=125). The average monthly enrolment number was 274. We collected the patients’ plasma, PBMC DNA and urine on day 1 of admission and stored them at −80°C. Of the 1370 patients enrolled, plasma samples were obtained at least once from 1114 patients, and two or more samples were obtained from 463 patients; PMBC DNA was obtained from 977 patients. At the end of March 2019, all PBMC DNA samples were transported to Chongqing Southwest Hospital for a genome-wide association study test; other samples (plasma and urine) were sent to Renji Hospital for proteomic and metabolic tests. Table 3 shows the patients’ demographic data and the condition estimation on the first day of admission. Overall, 73.7% of the patients were men, and the mean age of the patients was 49.5 years, including 71.1% (n=973) of cirrhotic patients and 413 (28.9%) of non-cirrhotic patients; 69.5% (n=952) patients had chronic HBV-related liver diseases. The proportion of patients with AD is 79.1% (n=1083). Jaundice (44.6%) was the most common observed AD event, followed by overt ascites (40.7%), gastrointestinal bleeding (16.4%), infection (15.9 %) and HE (7.7%).
Table 3

The baseline characteristics on the first day of admission

Baseline characteristics
Demographic data
 Male sex, n (%)1006 (73.4%)
 Age (years) median (IQRs)49.0 (40.0–59.0)
 HBV-related, n (%)952 (69.5%)
 Cirrhosis, n (%)973 (71.1%)
Laboratory data, median (IQRs)
 Total bilirubin (mg/dL)3.9 (1.5–13.7)
 INR1.41 (1.17–1.79)
 Serum creatinine (mg/dL)0.78 (0.65–0.96)
 ALT (U/L)82 (29–383)
 AST (U/L)101 (46–265)
 γ-GT (U/L)82 (38–158)
 AKP (U/L)125 (92–63)
 Albumin (g/L)32.3 (28.1–37.0)
 CRP (mg/L)7.3 (3.1–14.6)
 WBC (×109/L)4.95 (3.69–7.06)
 Hb (g/L)118 (94–136)
 Platelet count (×109/L)96.0 (61.0–150.0)
 Serum sodium (mmol/L)138 (136–141)
 Patients with AD1083 (79.1%)
Type of AD
 Overt ascites558 (40.7%)
 Gastrointestinal bleeding224 (16.4%)
 HE105 (7.7%)
 Jaundice611 (44.6%)
 Infection218 (15.9%)
Score
 MELD score15 (10–22)
 Child-Pugh score8 (7–10)
 Child-Pugh grade
 Child-Pugh A, n (%)261 (19.1%)
 Child-Pugh B, n (%)533 (38.9%)
 Child-Pugh C, n (%)576 (42.0%)

AD, acute decompensation; AKP, alkaline phosphatase; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C reactive protein; γ-GT, γ-glutamyl transferase; Hb, haemoglobin; HBV, hepatitis B virus; HE, hepatic encephalopathy; INR, international standardisation ratio; MELD, the Model for End-stage Liver Disease; WBC, white cell count.

The baseline characteristics on the first day of admission AD, acute decompensation; AKP, alkaline phosphatase; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C reactive protein; γ-GT, γ-glutamyl transferase; Hb, haemoglobin; HBV, hepatitis B virus; HE, hepatic encephalopathy; INR, international standardisation ratio; MELD, the Model for End-stage Liver Disease; WBC, white cell count.

Strengths and limitations

The CATCH-LIFE validation cohort has several strengths. First, compared with the CANONIC study (n=1343)1 and Chinese Group on the Study of Severe Hepatitis B (n=1322)7 from China, the study scale is a larger multicentre, prospective cohort of ACLF patients in the world. This cohort made the whole CATCH-LIFE study a unique ACLF-related study with two large independent multicentre prospective cohorts and 3970 patients. It provides plenty of data and solid evidence in related fields. Second, as the largest HBV high-endemic country, China is the optimum location for Eastern-type ACLF research. The centre distribution of this study was kept consistent with the population density distribution in China, so its data have epidemiological characteristics of patients with Eastern-type ACLF. Third, intensive quality control and quality assessment strategies were applied to ensure the authenticity, reliability and integrity of the clinical data collected. Standardised procedures were conducted in the bio-specimen’s collection, storage, transport, processing and analysis to ensure the validity. Finally, we are engaged with using emerging new technologies and exploring the mechanics of ACLF, including genomics, proteomics and metabolomics. Such applications will provide insight of this fatal disease. There are two limitations in this study. First, the centres of this study are highly coincident with the centres that participated in the CATCH-LIFE investigation study, which could generally limit the effectiveness of the external validation. Nevertheless, for these two studies, the 3-year interval in recruitment, the high internal heterogeneity in composition and no intersections in participants limited the significance of this limitation. Given that the advantages of the centres’ geographical distribution and the efficiency gains from the job familiar research staff, the centre selection strategy has merits as well. Second, as a cohort in the HBV high-endemic area, the study included a few hundred non-HBV-related patients (only 30% in total), and if further stratified by specific aetiologies, their data would be insufficient and cause potential bias. However, the aetiology of these patients (mainly alcoholic liver disease) matched Western-type ACLF; thus, they can be considered as a subgroup to compare and summarise the similarities and differences between the Western and Eastern types of ACLF, with efforts to arrive at a shared definition. In summary, we successfully established a qualified external validation cohort for the CATCH-LIFE study in HBV high-endemic area and presented the clinical features of Eastern type ACLF through the large-scale prospective cohorts. The CATCH-LIFE study will make a considerable contribution to the exploration of ACLF mechanisms and the establishment evidence-based diagnostic criteria.
Table 1

Broad categories and data elements collected in the Chinese Acute-on-Chronic Liver Failure validation cohort study

Broad categoriesData elements
Demographic dataAge, sex, ethnicity, identity number, postal code, address, mobile number, education status and insurance status
Medical historyAetiology and duration of chronic liver disease, type of present and/or previous acute decompensation or acute liver injury, possible predisposition (HBV reactivation, infection, recent alcohol intake, etc) and history of other chronic disease (hypertension, diabetes, etc)
Basic and vital signsHeight, weight, body mass index, temperature, heart rate, blood pressure and oxygen saturation (read from pulse oximeters)
Laboratory testsRoutine blood test (HGB, WBC, PLT count and neutrophil/lymphocyte ratio), liver function (ALT, AST, TB, AKP, γ-GT, albumin, prealbumin), renal function test (creatinine, BUN), blood-gas analysis and electrolytes (pH, sodium, potassium), coagulation series (prothrombin time, INR, D-dimer), others (blood ammonia, C reactive protein, procalcitonin, AFP, CA199, fasting blood glucose)
Hepatitis virus testsHBV (HBV-DNA, HBsAg, HBsAb, HBeAg, HBeAb, HBcAb), HCV, HAV and HEV antibodies (IgM)
Optional laboratory tests (if necessary)Thromboelastogram, cytokine, serum amyloid A, serum ferritin; ascites test (if patients take paracentesis): RBC count, WBC, count and proportion of polynuclear cell; autoimmune liver disease test; evaluation of Bacterial infection (sputum, blood, midstream urine, ascites, bile culture)
Imaging examinationAbdominal B ultrasound, abdominal CT/MRI scan, fibro-scan
Organ failure assessmentLiver, coagulation, respiratory, renal, brain, circulation failure
Hospitalisation summaryMedication (starting and ending times and dosage of antibiotics, glucocorticoids and proton pump inhibitor), hospitalisation duration and expenses
Status/outcomeSurvival, liver transplantation (LT), death, lost to follow-up, re-hospitalised, malignancy detected, including the time of outcome, pathology results of the removed liver (for LT) or cause of death

AFP, alpha-fetoprotein; AKP, alkaline phosphatase; BUN, blood urea nitrogen; CA199, carbohydrate antigen; γ-GT, gamma-glutamyl transferase; HAV, hepatitis A virus; HBV, hepatitis B virus; HCV, hepatitis C virus; HEV, hepatitis E virus; HGB, haemoglobin; INR, international normalised ratio; PLT, platelet; RBC, red blood cell; WBC, white cell count.

Table 2

Data collection schedule of the Chinese Acute-on-Chronic Liver Failure validation cohort study

Time after recruitmentHospitalisation follow-upPost-discharge follow-up (ongoing)
Broad categoriesDay 1Day 4Day 7Day 14Day 21Day 28Prior to death/LT*/dischargeOutpatient follow-upMonthly telephone follow-up
Demographic data
Medical historyv
Basic and vital signst
Laboratory tests
Hepatitis virus tests
Optional laboratory testsIf necessary
Imaging examination
Organ failure assessment
Hospitalisation summary
Status/outcome

LT, liver transplantation.

  20 in total

Review 1.  A systematic review on prognostic indicators of acute on chronic liver failure and their predictive value for mortality.

Authors:  Kama A Wlodzimirow; Saeid Eslami; Ameen Abu-Hanna; Martin Nieuwoudt; Robert A F M Chamuleau
Journal:  Liver Int       Date:  2012-03-19       Impact factor: 5.828

Review 2.  Acute-on-chronic liver failure.

Authors:  William Bernal; Rajiv Jalan; Alberto Quaglia; Kenneth Simpson; Julia Wendon; Andrew Burroughs
Journal:  Lancet       Date:  2015-09-27       Impact factor: 79.321

3.  Submassive hepatic necrosis distinguishes HBV-associated acute on chronic liver failure from cirrhotic patients with acute decompensation.

Authors:  Hai Li; Qiang Xia; Bo Zeng; Shu-Ting Li; Heng Liu; Qi Li; Jun Li; Shu-Yin Yang; Xiao-Jun Dong; Ting Gao; Stefan Munker; Yan Liu; Roman Liebe; Feng Xue; Qi-Gen Li; Xiao-Song Chen; Qiang Liu; Hui Zeng; Ji-Yao Wang; Qing Xie; Qin-Hua Meng; Jie-Fei Wang; Peter R Mertens; Frank Lammert; Manfred V Singer; Steven Dooley; Matthias P A Ebert; De-Kai Qiu; Tai-Ling Wang; Hong-Lei Weng
Journal:  J Hepatol       Date:  2015-01-31       Impact factor: 25.083

4.  Acute-on-chronic liver failure: consensus recommendations of the Asian Pacific Association for the Study of the Liver (APASL) 2014.

Authors:  Shiv Kumar Sarin; Chandan Kumar Kedarisetty; Zaigham Abbas; Deepak Amarapurkar; Chhagan Bihari; Albert C Chan; Yogesh Kumar Chawla; A Kadir Dokmeci; Hitendra Garg; Hasmik Ghazinyan; Saeed Hamid; Dong Joon Kim; Piyawat Komolmit; Suman Lata; Guan Huei Lee; Laurentius A Lesmana; Mamun Mahtab; Rakhi Maiwall; Richard Moreau; Qin Ning; Viniyendra Pamecha; Diana Alcantara Payawal; Archana Rastogi; Salimur Rahman; Mohamed Rela; Anoop Saraya; Didier Samuel; Vivek Saraswat; Samir Shah; Gamal Shiha; Brajesh Chander Sharma; Manoj Kumar Sharma; Kapil Sharma; Amna Subhan Butt; Soek Siam Tan; Chitranshu Vashishtha; Zeeshan Ahmed Wani; Man-Fung Yuen; Osamu Yokosuka
Journal:  Hepatol Int       Date:  2014-09-26       Impact factor: 6.047

Review 5.  Acute-on-Chronic Liver Failure: Getting Ready for Prime Time?

Authors:  Jasmohan S Bajaj; Richard Moreau; Patrick S Kamath; Hugo E Vargas; Vicente Arroyo; K Rajender Reddy; Gyongyi Szabo; Puneeta Tandon; Jody Olson; Constantine Karvellas; Thierry Gustot; Jennifer C Lai; Florence Wong
Journal:  Hepatology       Date:  2018-09-22       Impact factor: 17.425

Review 6.  Liver cirrhosis.

Authors:  Emmanuel A Tsochatzis; Jaime Bosch; Andrew K Burroughs
Journal:  Lancet       Date:  2014-01-28       Impact factor: 79.321

7.  Acute-on-chronic liver failure precipitated by hepatic injury is distinct from that precipitated by extrahepatic insults.

Authors:  Yu Shi; Ying Yang; Yaoren Hu; Wei Wu; Qiao Yang; Min Zheng; Shun Zhang; Zhaojun Xu; Yihua Wu; Huadong Yan; Zhi Chen
Journal:  Hepatology       Date:  2015-04-25       Impact factor: 17.425

Review 8.  The management of ascites in cirrhosis: report on the consensus conference of the International Ascites Club.

Authors:  Kevin P Moore; Florence Wong; Pere Gines; Mauro Bernardi; Andreas Ochs; Francesco Salerno; Paolo Angeli; Michael Porayko; Richard Moreau; Guadelupe Garcia-Tsao; Wladimiro Jimenez; Ramon Planas; Vicente Arroyo
Journal:  Hepatology       Date:  2003-07       Impact factor: 17.425

9.  Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis.

Authors:  Richard Moreau; Rajiv Jalan; Pere Gines; Marco Pavesi; Paolo Angeli; Juan Cordoba; Francois Durand; Thierry Gustot; Faouzi Saliba; Marco Domenicali; Alexander Gerbes; Julia Wendon; Carlo Alessandria; Wim Laleman; Stefan Zeuzem; Jonel Trebicka; Mauro Bernardi; Vicente Arroyo
Journal:  Gastroenterology       Date:  2013-03-06       Impact factor: 22.682

10.  Acute-on-Chronic Liver Failure in China: Rationale for Developing a Patient Registry and Baseline Characteristics.

Authors:  Wen-Yi Gu; Bao-Yan Xu; Xin Zheng; Jinjun Chen; Xian-Bo Wang; Yan Huang; Yan-Hang Gao; Zhong-Ji Meng; Zhi-Ping Qian; Feng Liu; Xiao-Bo Lu; Jia Shang; Hai Li; Shao-Yang Wang; Xin Sun; Hai Li
Journal:  Am J Epidemiol       Date:  2018-09-01       Impact factor: 4.897

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  6 in total

Review 1.  Definition and classification of acute-on-chronic liver diseases.

Authors:  Yuan-Yao Zhang; Zhong-Ji Meng
Journal:  World J Clin Cases       Date:  2022-05-26       Impact factor: 1.534

2.  Prevalence and clinical significance of serum sodium variability in patients with acute-on-chronic liver diseases: a prospective multicenter study in China.

Authors:  Xue Mei; Hai Li; Guohong Deng; Xianbo Wang; Xin Zheng; Yan Huang; Jinjun Chen; Zhongji Meng; Yanhang Gao; Feng Liu; Xiaobo Lu; Yu Shi; Yubao Zheng; Huadong Yan; Weituo Zhang; Liang Qiao; Wenyi Gu; Yan Zhang; Xiaomei Xiang; Yi Zhou; Shuning Sun; Yixin Hou; Qun Zhang; Yan Xiong; Congcong Zou; Jun Chen; Zebing Huang; Beiling Li; Xiuhua Jiang; Guotao Zhong; Haiyu Wang; Yuanyuan Chen; Sen Luo; Na Gao; Chunyan Liu; Jing Li; Tao Li; Rongjiong Zheng; Xinyi Zhou; Haotang Ren; Wei Yuan; Zhiping Qian
Journal:  Hepatol Int       Date:  2022-01-17       Impact factor: 9.029

3.  Hepatitis B Virus Reactivation Increased the Risk of Developing Hepatic Failure and Mortality in Cirrhosis With Acute Exacerbation.

Authors:  Ying Zhu; Hai Li; Xianbo Wang; Xin Zheng; Yan Huang; Jinjun Chen; Zhongji Meng; Yanhang Gao; Zhiping Qian; Feng Liu; Xiaobo Lu; Yu Shi; Jia Shang; Huadong Yan; Yubao Zheng; Liang Qiao; Yan Zhang; Xiaomei Xiang; Yunjie Dan; Shuning Sun; Yixin Hou; Qun Zhang; Yan Xiong; Sumeng Li; Jun Chen; Zebing Huang; Beiling Li; Xiuhua Jiang; Sen Luo; Yuanyuan Chen; Na Gao; Chunyan Liu; Liujuan Ji; Wei Yuan; Jing Li; Tao Li; Rongjiong Zheng; Xinyi Zhou; Haotang Ren; Yi Zhou; Baoyan Xu; Rentao Yu; Wenting Tan; Guohong Deng
Journal:  Front Microbiol       Date:  2022-07-07       Impact factor: 6.064

4.  Prevalence and clinical characteristics of autoimmune liver disease in hospitalized patients with cirrhosis and acute decompensation in China.

Authors:  Zi-Xuan Shen; Dan-Dan Wu; Jie Xia; Xian-Bo Wang; Xin Zheng; Yan Huang; Bei-Ling Li; Zhong-Ji Meng; Yan-Hang Gao; Zhi-Ping Qian; Feng Liu; Xiao-Bo Lu; Jia Shang; Hua-Dong Yan; Yu-Bao Zheng; Wen-Yi Gu; Yan Zhang; Jian-Yi Wei; Wen-Ting Tan; Yi-Xin Hou; Qun Zhang; Yan Xiong; Cong-Cong Zou; Jun Chen; Ze-Bing Huang; Xiu-Hua Jiang; Sen Luo; Yuan-Yuan Chen; Na Gao; Chun-Yan Liu; Wei Yuan; Xue Mei; Jing Li; Tao Li; Xin-Yi Zhou; Guo-Hong Deng; Jin-Jun Chen; Xiong Ma; Hai Li
Journal:  World J Gastroenterol       Date:  2022-08-21       Impact factor: 5.374

5.  Role of precipitants in transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis.

Authors:  Tongyu Wang; Wenting Tan; Xianbo Wang; Xin Zheng; Yan Huang; Beiling Li; Zhongji Meng; Yanhang Gao; Zhiping Qian; Feng Liu; Xiaobo Lu; Huadong Yan; Yubao Zheng; Weituo Zhang; Shan Yin; Wenyi Gu; Yan Zhang; Fuchen Dong; Jianyi Wei; Guohong Deng; Xiaomei Xiang; Yi Zhou; Yixin Hou; Qun Zhang; Shue Xiong; Jing Liu; Liyuan Long; Ruochan Chen; Jinjun Chen; Xiuhua Jiang; Sen Luo; Yuanyuan Chen; Chang Jiang; Jinming Zhao; Liujuan Ji; Xue Mei; Jing Li; Tao Li; Rongjiong Zheng; Xinyi Zhou; Haotang Ren; Yu Shi; Hai Li
Journal:  JHEP Rep       Date:  2022-07-05

6.  Different Effects of Total Bilirubin on 90-Day Mortality in Hospitalized Patients With Cirrhosis and Advanced Fibrosis: A Quantitative Analysis.

Authors:  Liang Qiao; Wenting Tan; Xiaobo Wang; Xin Zheng; Yan Huang; Beiling Li; Zhongji Meng; Yanhang Gao; Zhiping Qian; Feng Liu; Xiaobo Lu; Jia Shang; Junping Liu; Huadong Yan; Wenyi Gu; Yan Zhang; Xiaomei Xiang; Yixin Hou; Qun Zhang; Yan Xiong; Congcong Zou; Jun Chen; Zebing Huang; Xiuhua Jiang; Sen Luo; Yuanyuan Chen; Na Gao; Chunyan Liu; Wei Yuan; Xue Mei; Jing Li; Tao Li; Rongjiong Zheng; Xinyi Zhou; Jinjun Chen; Guohong Deng; Weituo Zhang; Hai Li
Journal:  Front Med (Lausanne)       Date:  2021-06-23
  6 in total

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