Classification and regression tree analysis of acute-on-chronic hepatitis B liver failure: Seeing the forest for the trees

Journal of Viral Hepatitis

Volumn 24, Issue 2, 2017, Pages 132-140

  Shi, K Q ^a,b   Zhou, Y Y ^c   Yan, H D ^d   Li, H ^e   Wu, F L ^a,b   Xie, Y Y ^a   Braddock, M ^f   Lin, X Y ^a   Zheng, M H ^a,b  

^a THE FIRST AFFILIATED HOSPITAL OF WENZHOU MEDICAL UNIVERSITY   (China)

^b WENZHOU MEDICAL UNIVERSITY   (China)

^c Jinhua Municipal Hospital   (China)

^d NINGBO NO 2 HOSPITAL   (China)

^e Tianjin Infectious Disease Hospital   (China)

^f ASTRAZENECA   (United Kingdom)

Author keywords

acute on chronic hepatitis B liver failure; classification and regression tree; cohort study; model for end stage liver disease; prognostic prediction

Indexed keywords

BILIRUBIN; PROTHROMBIN; SODIUM;

ACUTE ON CHRONIC HEPATITIS B LIVER FAILURE; ADULT; AGE; ARTICLE; BILIRUBIN BLOOD LEVEL; CLASSIFICATION AND REGRESSION TREE ANALYSIS; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HIGH RISK PATIENT; HUMAN; INTERMEDIATE RISK PATIENT; INTERNATIONAL NORMALIZED RATIO; LIVER FAILURE; LOGISTIC REGRESSION ANALYSIS; LOW RISK PATIENT; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MIDDLE AGED; MODEL FOR END STAGE LIVER DISEASE SCORE; MORTALITY; PREDICTIVE VALUE; PRIORITY JOURNAL; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SODIUM BLOOD LEVEL; ACUTE ON CHRONIC LIVER FAILURE; AGED; CHRONIC HEPATITIS B; COMPLICATION; DECISION SUPPORT SYSTEM; PATHOLOGY; SURVIVAL ANALYSIS;

ACUTE-ON-CHRONIC LIVER FAILURE; ADULT; AGED; DECISION SUPPORT TECHNIQUES; FEMALE; HEPATITIS B, CHRONIC; HUMANS; MALE; MIDDLE AGED; PROGNOSIS; SURVIVAL ANALYSIS;

EID: 84990030146     PISSN: 13520504     EISSN: 13652893     Source Type: Journal    
DOI: 10.1111/jvh.12617     Document Type: Article

References (25)

1. Sarin SK, Kedarisetty CK, Abbas Z, et al. acute-on-chronic liver failure: consensus recommendations of the Asian Pacific Association for the Study of the Liver (APASL) 2014. Hep Intl. 2014;8:453–471.
2. Wlodzimirow KA, Eslami S, Abu-Hanna A, Nieuwoudt M, Chamuleau RA. A systematic review on prognostic indicators of acute on chronic liver failure and their predictive value for mortality. Liver Int. 2013;33:40–52.
3. Li XM, Ma L, Yang YB, Shi ZJ, Zhou SS. Analyses of prognostic indices of chronic liver failure caused by hepatitis virus. World J Gastroenterol. 2005;11:2841–2843.
4. Zheng MH, Shi KQ, Lin XF, et al. A model to predict 3-month mortality risk of acute-on-chronic hepatitis B liver failure using artificial neural network. J Viral Hepat. 2013;20:248–255.
5. Yu JW, Wang GQ, Li SC. Prediction of the prognosis in patients with acute-on-chronic hepatitis using the MELD scoring system. J Gastroenterol Hepatol. 2006;21:1519–1524.
6. Fan HL, Yang PS, Chen HW, et al. Predictors of the outcomes of acute-on-chronic hepatitis B liver failure. World J Gastroenterol. 2012;18:5078–5083.
7. Marshall RJ. The use of classification and regression trees in clinical epidemiology. J Clin Epidemiol. 2001;54:603–609.
8. Takahashi O, Cook EF, Nakamura T, Saito J, Ikawa F, Fukui T. Risk stratification for in-hospital mortality in spontaneous intracerebral haemorrhage: a classification and regression tree analysis. QJM. 2006;99:743–750.
9. Fonarow GC, Adams KF Jr, Abraham WT, Yancy CW, Boscardin WJ. Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis. JAMA. 2005;293:572–580.
10. Shi KQ, Fan YC, Ying L, et al. Risk stratification of spontaneous bacterial peritonitis in cirrhosis with ascites based on classification and regression tree analysis. Mol Biol Rep. 2012;39:6161–6169.
11. Zheng MH, Shi KQ, Fan YC, et al. A model to determine 3-month mortality risk in patients with acute-on-chronic hepatitis B liver failure. Clin Gastroenterol Hepatol. 2011;9:351–356.e353.
12. Wu SJ, Yan HD, Zheng ZX, et al. Establishment and validation of ALPH-Q score to predict mortality risk in patients with acute-on-chronic hepatitis B liver failure: a prospective cohort study. Medicine (Baltimore). 2015;94:e403.
13. Malinchoc M, Kamath PS, Gordon FD, Peine CJ, Rank J, ter Borg PC. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology (Baltimore, MD). 2000;31:864–871.
14. Angermayr B, Cejna M, Karnel F, et al. Child-Pugh versus MELD score in predicting survival in patients undergoing transjugular intrahepatic portosystemic shunt. Gut. 2003;52:879–885.
15. Jalan R, Gines P, Olson JC, et al. Acute-on chronic liver failure. J Hepatol. 2012;57:1336–1348.
16. Seto WK, Lai CL, Yuen MF. acute-on-chronic liver failure in chronic hepatitis B. J Gastroenterol Hepatol. 2012;27:662–669.
17. Kim WR, Biggins SW, Kremers WK, et al. Hyponatremia and mortality among patients on the liver-transplant waiting list. N Engl J Med. 2008;359:1018–1026.
18. Wong VW, Chim AM, Wong GL, Sung JJ, Chan HL. Performance of the new MELD-Na score in predicting 3-month and 1-year mortality in Chinese patients with chronic hepatitis B. Liver Transpl. 2007;13:1228–1235.
19. Huo TI, Wang YW, Yang YY, et al. Model for end-stage liver disease score to serum sodium ratio index as a prognostic predictor and its correlation with portal pressure in patients with liver cirrhosis. Liver Int. 2007;27:498–506.
20. Loh WY. Classification and regression trees. Wiley Interdiscip Rev Data Min Knowl Discov. 2011;1:14–23.
21. Jalan R, Saliba F, Pavesi M, et al. Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J Hepatol. 2014;61:1038–1047.
22. Lee M, Lee JH, Oh S, et al. CLIF-SOFA scoring system accurately predicts short-term mortality in acutely decompensated patients with alcoholic cirrhosis: a retrospective analysis. Liver Int. 2015;35:46–57.
23. Garg H, Kumar A, Garg V, Sharma P, Sharma BC, Sarin SK. Clinical profile and predictors of mortality in patients of Acute-on-chronic liver failure. Dig Liver Dis. 2012;44:166–171.
24. Duseja A, Choudhary NS, Gupta S, Dhiman RK, Chawla Y. APACHE II score is superior to SOFA, CTP and MELD in predicting the short-term mortality in patients with acute-on-chronic liver failure (ACLF). J Dig Dis. 2013;14:484–490.
25. Lemon SC, Roy J, Clark MA, Friedmann PD, Rakowski W. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Ann Behav Med. 2003;26:172–181.