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Study of the Model to Predict 3-month Mortality Risk of Acute-on-chronic Hepatitis B Liver Failure

NCT01826760 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 583

Last updated 2013-04-08

No results posted yet for this study

Summary

This study was to predict 3-month mortality risk of acute-on-chronic hepatitis B liver failure (ACHBLF) on an individual patient level using artificial neural network (ANN) system. The area under the curve of receiver operating characteristic (AUROC) were calculated for ANN and MELD-based scoring systems to evaluate the performances of the ANN prediction.

Conditions

  • Acute-on-chronic Hepatitis B Liver Failure

Interventions

OTHER

Using training and testing groups to construct ANN based on laboratory tests

Sponsors & Collaborators

  • Wenzhou Medical University

    lead OTHER

Principal Investigators

  • Ming Hua Zheng, Medical Master · First Affiliated Hospital of Wenzhou Medical College

  • Xian Feng Lin, Medical undergraduate · Wenzhou Medical University

  • Ke Qing Shi, Medical Master · First Affiliated Hospital of Wenzhou Medical College

  • Wen Yue Liu, Medical undergraduate · Wenzhou Medical University

  • Chen Chen Zhao, Medical undergraduate · Wenzhou Medical University

Eligibility

Min Age
19 Years
Max Age
87 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2010-04-30
Primary Completion
2010-05-31
Completion
2010-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01826760 on ClinicalTrials.gov