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Published on: September 13, 2014
Prognostic nomogram for acute-on-chronic hepatitis B liver failure
Su Lin1, Juan Chen2, Mingfang Wang1
1Liver Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Insights
A new prognostic nomogram effectively predicts short-term survival in patients with acute-on-chronic hepatitis B liver failure (ACHBLF). The model uses age, liver to abdominal area ratio (LAAR), and MELD score for improved accuracy.
Area of Science:
- Hepatology
- Clinical Prognostics
- Biostatistics
Background:
- Acute-on-chronic hepatitis B liver failure (ACHBLF) presents a significant clinical challenge.
- Accurate prognostic tools are crucial for managing ACHBLF patients.
Purpose of the Study:
- To develop and validate a prognostic nomogram for predicting short-term mortality in ACHBLF patients.
- To identify independent risk factors for mortality in ACHBLF.
Main Methods:
- Retrospective analysis of clinical data from 203 ACHBLF patients.
- Development of a nomogram based on multivariate analysis.
- Validation using internal and external cohorts with AUC and calibration curves.
Main Results:
- A novel nomogram incorporating age, liver to abdominal area ratio (LAAR), and MELD score was developed.
- The nomogram demonstrated a high AUC of 0.877 for predicting 3-month mortality.
- Performance exceeded existing scores like MELD, MELD-Na, and Child-Turcotte-Pugh (CTP).
Conclusions:
- The developed nomogram provides an effective tool for predicting short-term survival in ACHBLF.
- This prognostic model can aid clinical decision-making and patient management.
Background & Aims:
To establish an effective prognostic nomogram for acute-on-chronic hepatitis B liver failure (ACHBLF).
Materials And Methods:
The nomogram was based on clinical data of 203 ACHBLF patients who admitted to the First Affiliated Hospital of Fujian Medical University from 2009 to 2014. The area under the receiver-operating characteristic curve (AUC) and calibration curve were carried out to verify the predictive accuracy ability of the nomogram. The result was validated in internal and external validation cohorts. Kaplan-Meier survival curve was used in survival analysis.
Results:
We developed a new prognostic nomogram to predict 3-month mortality based on risk factors selected by multivariate analysis. This nomogram consisted three independent factors: age, liver to abdominal area ratio (LAAR) and model for end-stage liver disease (MELD) score. The AUC of this nomogram for survival prediction was 0.877 (95% CI 0.831-0.923), which was higher than that of MELD score, MELD-Na and Child-Turcotte-Pugh (CTP). Good agreement of calibration plot for the probability of survival at 3-month was shown between the prediction by nomogram and actual observation. These results were supported by internal and external validation studies.
Conclusions:
The ACHBLF nomogram could predict the short-term survival for ACHBLF patients.
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