Ke-Qing Shi1, Yi-Jing Cai1, Zhuo Lin1, Jin-Zhong Dong2, Jian-Min Wu3, Xiao-Dong Wang1, Mei Song1, Yu-Qun Wang1, Yong-Ping Chen1. 1. Department of Liver Diseases, Liver Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. 2. Department of Infection and Liver Diseases, Ningbo First Hospital, Ningbo, China. 3. Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, China.
Abstract
BACKGROUND AND AIM: Determining individual risk of short-term mortality in patients with acute-on-chronic hepatitis B liver failure (ACHBLF) is a difficult task. We aimed to develop and externally validate a prognostic nomogram for ACHBLF patients. METHODS: The nomogram was built to estimate the probability of 30-day, 60-day, 90-day, and 60-month survival based on an internal cohort of 246 patients with ACHBLF. The predictive accuracy and discriminative ability of nomogram were determined by a concordance index (C-index), calibration curve, and time-dependent receiver operating characteristics (tdROC), comparing with model for end-stage liver disease (MELD) score. The results were validated using bootstrap resampling and an external cohort of 138 patients. Furthermore, we plotted decision curves to evaluate the clinical usefulness of nomogram. RESULTS: Independent factors derived from multivariable Cox analysis of training cohort to predict mortality were age, total bilirubin, serum sodium, and prothrombin activity, which were all assembled into nomogram. The calibration curves for probability of survival showed optimal agreement between nomogram prediction and actual observation. The C-index of nomogram was higher than that of MELD score for predicting survival (30-day, 0.809 vs 0.717, P < 0.001; 60-day, 0.792 vs 0.685, P < 0.001; 90-day, 0.779 vs 0.678, P < 0.001; 6-month, 0.781 vs 0.677, P < 0.001). Additionally, tdROC and decision curves also showed that nomogram was superior to MELD score. The results were confirmed in validation cohort. CONCLUSIONS: The prognostic nomogram provided an individualized risk estimate of short-term survival in patients with ACHBLF, offering to clinicians to improve their abilities to assess patient prognosis.
BACKGROUND AND AIM: Determining individual risk of short-term mortality in patients with acute-on-chronic hepatitis B liver failure (ACHBLF) is a difficult task. We aimed to develop and externally validate a prognostic nomogram for ACHBLF patients. METHODS: The nomogram was built to estimate the probability of 30-day, 60-day, 90-day, and 60-month survival based on an internal cohort of 246 patients with ACHBLF. The predictive accuracy and discriminative ability of nomogram were determined by a concordance index (C-index), calibration curve, and time-dependent receiver operating characteristics (tdROC), comparing with model for end-stage liver disease (MELD) score. The results were validated using bootstrap resampling and an external cohort of 138 patients. Furthermore, we plotted decision curves to evaluate the clinical usefulness of nomogram. RESULTS: Independent factors derived from multivariable Cox analysis of training cohort to predict mortality were age, total bilirubin, serum sodium, and prothrombin activity, which were all assembled into nomogram. The calibration curves for probability of survival showed optimal agreement between nomogram prediction and actual observation. The C-index of nomogram was higher than that of MELD score for predicting survival (30-day, 0.809 vs 0.717, P < 0.001; 60-day, 0.792 vs 0.685, P < 0.001; 90-day, 0.779 vs 0.678, P < 0.001; 6-month, 0.781 vs 0.677, P < 0.001). Additionally, tdROC and decision curves also showed that nomogram was superior to MELD score. The results were confirmed in validation cohort. CONCLUSIONS: The prognostic nomogram provided an individualized risk estimate of short-term survival in patients with ACHBLF, offering to clinicians to improve their abilities to assess patient prognosis.
Authors: M Müller; J C Schefold; A B Leichtle; D Srivastava; G Lindner; A K Exadaktylos; C A Pfortmueller Journal: Med Klin Intensivmed Notfmed Date: 2018-08-21 Impact factor: 0.840