Development and external validation of a prognostic nomogram for acute decompensation of chronic hepatitis B

Fangyuan Gao1, Xiaoshu Li1, Gang Wan2

  • 1Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

BMC Gastroenterology
|December 5, 2018
PubMed

Insights

A new nomogram accurately predicts survival for patients with chronic hepatitis B cirrhosis experiencing acute decompensation. This tool offers superior individualized prognosis compared to existing scoring systems like MELD and CTP.

Area of Science:

  • Hepatology
  • Internal Medicine
  • Medical Prognostics

Background:

  • Acute decompensation (AD) in cirrhosis patients carries a high mortality risk.
  • Chronic hepatitis B (CHB) is a significant cause of cirrhosis worldwide.
  • Accurate prognostic tools are crucial for managing AD in CHB cirrhosis.

Purpose of the Study:

  • To develop and validate a prognostic nomogram for predicting individual survival in patients with acute decompensation of chronic hepatitis B cirrhosis.
  • To compare the nomogram's predictive performance against established scoring systems.

Main Methods:

  • Retrospective development using data from 509 CHB cirrhosis patients with AD.
  • Validation using data from 620 CHB cirrhosis patients with AD.
  • Evaluation of predictive accuracy, discriminative ability, and clinical utility using C-index, calibration curves, and decision curve analysis (DCA).

Main Results:

  • The nomogram incorporated age, previous decompensation, bacterial infection, hepatic encephalopathy, and total bilirubin.
  • It demonstrated a high concordance index (C-index) of 0.897, outperforming CTP, MELD, SOFA, and CLIF-C AD scores.
  • Calibration curves showed good agreement, and DCA indicated superior clinical net benefit compared to other scores.

Conclusions:

  • The developed nomogram provides a more accurate individualized prediction of survival for AD of CHB cirrhosis patients.
  • It surpasses the prognostic capabilities of MELD, CTP, SOFA, and CLIF-C AD scores.
  • This tool can aid clinicians in optimizing patient management and treatment strategies.
Abstract

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