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Prognosis Scoring System for Acute-on-Chronic Liver Failure

Sun Yat-sen University logo

Sun Yat-sen University

Status

Unknown

Conditions

Liver Failure

Study type

Observational

Funder types

Other

Identifiers

NCT01961440
zssywzb02

Details and patient eligibility

About

This research is to establish a simple and practical system to predict the prognosis of sever hepatitis B.Seven factors (level of serum total bilirubin, prothrombin time, severity of hepatic encephalopathy, hepatorenal syndrome,ascites ,infection and size of liver) which were easier to evaluate and more influential, were included to establish a prognosis scoring system.The scorings of a new score system and MELD were graded at the same time in the patients with sever hepatitis B. And then the distribution figures of survival rates and mortality rates were done according to the scores from low to high. The features of distribution figures of two score system in survival rates and mortality rates and significances of clinical application in certain score were interpreted.

Enrollment

1,000 estimated patients

Sex

All

Ages

18 to 60 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • serum hepatitis B surface antigen(HBsAg) positive for at least 6 months;
  • All patients had a poor general condition, manifested as general malaise, fatigue, jaundice and so on;
  • serum T-Bil of 171 mmol/L or more; or serum T-Bil rises 17.1 mmol/L or more per day;

Exclusion criteria

  • superinfection or co-infection with hepatitis A, C, D, E, cytomegalovirus and HIV, or Epstein-Barr virus;
  • other liver diseases such as alcoholic liver disease, drug-induced hepatitis, Wilson disease and autoimmune hepatitis;
  • ascites or gastrointestinal bleeding or peptic ulcer or esophageal varix by electronic gastroscope examination;
  • decompensated liver cirrhosis;
  • severe bacterial or fungal infections;
  • a history of diabetes or cardiac disease or hypertension or nephrosis.

Trial contacts and locations

0

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Central trial contact

zhe-bin wu

Data sourced from clinicaltrials.gov

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