• DocumentCode
    3108822
  • Title

    Prognostic Model for the Patients with Severe Liver Disease

  • Author

    Wu, Wenfang ; Zhang, Jing ; Ma, Binrong ; He, Jinqiu ; Zhang, Lunli ; Zou, Chunyi ; Xin, Shaojie ; Lin, Changyan

  • Author_Institution
    Dept. of Biol. Med. Eng., Capital Med. Univ., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To analyze prognostic factors of patients with severe liver disease and develop a prognostic model for them which is fitful to the characteristics of our country. From March 2002 to June 2007, the 527 patients with severe liver disease were evaluated, the follow-up information were collected include the survival state (death/survival). The survival model was established by using COX proportional hazard model. New 400 cases were used to test and evaluate the decision capability of the model. Nine prognostic factors were extracted by using COX, the prognostic index (PI) was calculated. By statistics analyze to compare the ROC area (AUC) of this system model with CTP and MELD, this system meld is better than CTP and MELD. The developed model is fitful to the characteristics of our country where there are a lot of virus hepatitis patients, so the model is valuable in prognostic evaluation of severe liver patients and very useful to guide clinicians in selecting treatment methods in China.
  • Keywords
    diseases; liver; patient diagnosis; patient treatment; COX proportional hazard model; China; decision capability; patients; prognostic factors; prognostic index; prognostic model; severe liver disease; survival model; treatment methods; virus hepatitis patients; Biomedical imaging; Blood; Electrostatic precipitators; Hazards; Hospitals; Liver diseases; Medical diagnostic imaging; Medical treatment; Pathogens; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5515871
  • Filename
    5515871