Survival prediction among patients with non-cancer-related end-stage liver disease

PLoS One. 2018 Sep 21;13(9):e0202692. doi: 10.1371/journal.pone.0202692. eCollection 2018.

Abstract

Background: Predicting the survival of non-cancer related end-stage-liver-disease patients in general practice has been difficult for physicians because of the extremely variable trajectories due to multiple complex clinical factors, hence it remains a challenging issue to date. This study aimed to develop and validate a specific prognostic scoring system to early recognize the prognosis and improve the quality of end-of life care for non-cancer end-stage-liver-disease population.

Materials and methods: A multicentre, retrospective cohort study was conducted during January 2010 ~ December 2012 and continued follow-up until December 2014. A cox proportional hazard regression analysis was used to derive and validate an optimized model. The main outcome measures were the 28-day, 3-month, 6-month, and 12-month mortality prediction. The performance of the novel model was evaluated, including discrimination and calibration.

Results: A total of 4,080 consecutive subjects were enrolled. The AUROCs for the 3-month survival discrimination in the MELD, MELD-Na and novel model were 0.787, 0.705 and 0.804 (P<0.001); the 6-month survival discrimination were 0.781, 0.702 and 0.797 (P<0.001); the overall survival discrimination were 0.771, 0.694 and 0.785 (P = 0.002) respectively, whereas the novel model showed a significantly higher discrimination power than did the MELD and MELD-Na for the 3-month, 6-month and overall survival prediction. In addition, calibration of external validation cohort showed no statistical difference in all 5 groups compared with the observed groups.

Conclusion: This is a clinically relevant, validated scoring system that can be used sequentially to stratify the prognosis in non-cancer cirrhotic populations, which may help the patients along with medical team in decision making to improve the quality of end-of-life care.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • End Stage Liver Disease / mortality*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Regression Analysis
  • Retrospective Studies
  • Risk Factors
  • Severity of Illness Index
  • Survival Analysis

Grants and funding

The authors received no specific funding for this work.