A Prospective Multi-center Validating Cohort for ACLF Diagnosis and Prognosis From Ch-CANONIC Study

Detailed Summary

Acute on chronic liver failure (ACLF) is a distinct entity encompassing the acute deterioration of liver function, culminating in multiple organs failure and high short-term mortality. Definitions and descriptions of ACLF vary between Western and Eastern types, and alcoholism and hepatitis B virus (HBV) are the main etiologies, respectively. To determine whether there are unified diagnostic criteria, severity classification and prognostic model for different etiologies of ACLF. Investigators had launched a multicenter prospective cohort with the same inclusion criteria and disease indicators as those used in the European CANONIC (Chronic liver failure-ACLF in Cirrhosis) study in China，the Ch-CANONIC study(NCT02457637). From Jan 2015 to Dec 2016, 2,600 inpatients with chronic liver disease complicated with ALI and/or AD were recruited. Data were collected during a 28-day hospitalization and continuous follow-ups were performed once a month until 36 months after hospitalization (at least 18 months up to now). Of these patients, 71.5% had HBV-related disease, 1833 had cirrhotic disease, and 767 had non-cirrhotic disease diagnosed by CT scan. Due to the lack of pathological gold standards, the diagnosis of ACLF is based on the clinical assessment of short-term mortality from organ functional parameters. In subsequent statistics and data analysis, investigators focused on (but not limit in) the relationship between short-term mortality and 6 parameters (bilirubin, INR, Creatinine, SpO2/FiO2, mean arterial pressure and West-Haven grade) from CLIF-C OFs (Chronic liver failure-Consortium Organ Failure score). And then a specific mathematical model has been constructed to obtain the available organ failure cutoff values. Subsequently, investigators carried out a diagnostical criteria for ACLF based on the results obtained from the model and get a good internal-validation result through risk ratio. Meanwhile, investigators conducted a precise prediction model for patients' prognosis and achieved a good predictive effect with consistency by AUC internal-validation. In addition, investigators summarized the course and some characteristics of ACLF. Therefore, investigators hope to launch another prospective multi-center cohort study with the same inclusion and exclusion criteria, and continue to recruit 800 to 900 patients (about 30% of the previous cohort) as the external validation cohort for the preliminary results mentioned above.

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