• Clin. Chim. Acta · May 2017

    A MELD-based nomogram for predicting 3-month mortality of patients with acute-on-chronic hepatitis B liver failure.

    • Rui-Cong Chen, Xiao-Dong Wang, Jin-Zhong Dong, Zhuo Lin, Jian-Min Wu, Yi-Jing Cai, and Ke-Qing Shi.
    • Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
    • Clin. Chim. Acta. 2017 May 1; 468: 195-200.

    BackgroundAcute-on-chronic hepatitis B liver failure (ACHBLF) is associated with poor short-term prognosis. The aim of the present study was to construct and validate a model for end-stage liver disease (MELD)-based nomogram for the 3-month mortality estimation for patients with ACHBLF.MethodsA total of 551 patients with ACHBLF were prospectively enrolled from 2 independent medical centers and divided into 2 cohorts of training and validation, respectively. The 3-month mortality was recorded as the outcome. The MELD-based nomogram was constructed to predict the 3-month mortality for ACHBLF using the training group of 335 patients and validated using an independent cohort of 216 patients. The predictive capability of MELD-based nomogram was compared with the MELD score system by calibration analysis, receiver operating characteristics (ROC) and decision curve analysis in both training cohort and validation cohort.ResultsMultivariate analysis suggested that age, serum sodium, and MELD score were independent prognostic indicators associated with the 3-month mortality for ACHBLF, and therefore used for developing the nomogram. In terms of calibration, the predicted survival by the MELD-based nomogram was found to be extremely in line with the observed 3-month mortality both in training cohort and validation cohort. Additionally, both ROC and decision curve analyses showed that the MELD-based nomogram was better than MELD, MELD-Na, MELDNa, and iMELD for ACHBLF prognosis prediction. The results were confirmed in the external cohort of validation.ConclusionsThe MELD-based nomogram provided a user-friendly, accurate and reproducible tool for predicting 3-month mortality of patients with ACHBLF.Copyright © 2017 Elsevier B.V. All rights reserved.

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