Paper Info
Title
A novel mortality model for acute alcoholic hepatitis including variables recorded after admission to hospital.
Abstract
Severe forms of alcoholic hepatitis in patients with alcoholic liver disease are associated with high mortality; it is therefore vital to identify those patients at greatest risk of mortality in 28 days as they may benefit from aggressive intervention. The aim of this study is to propose a new predictive model that can be used in clinical practice to identify such patients and to monitor their progress while in hospital. A cohort of 82 patients was selected and for each of them, a number of clinical findings and standard laboratory tests at the time of admission to hospital were recorded. Also, some variables were collected up to 7 days after admission. The proposed logistic regression model selected four statistically significant predictors (namely, the level of creatinine on and after admission, the presence of encephalopathy and prothrombin time evaluated after admission). A comparison with the available mortality predictive scores showed an increase by 25% in predictive power, demonstrating increased accuracy in identifying these sick patients with alcoholic hepatitis in clinical practice.
Year
DOI
Venue
2014
10.1016/j.compbiomed.2013.11.005
Comp. in Bio. and Med.
Keywords
DocType
Volume
alcoholic liver disease,acute alcoholic hepatitis,alcoholic hepatitis,Mortality model,Alcoholic liver disease,Clinical decision support system,available mortality,Logistic regression,predictive score,clinical finding,novel mortality model,Alcoholic hepatitis,high mortality,new predictive model,clinical practice,proposed logistic regression model,predictive power
Journal
44
ISSN
Citations 
PageRank 
1879-0534
1
0.36
References 
Authors
1
4
Name
Order
Citations
PageRank
Thomas Mazzocco1423.87
Amir Hussain270529.16
Sajid Hussain340143.72
Amir A Shah410.36