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Description
Acute Liver Study Group Prognostic Model
The ALFSG Prognostic Model can be used to predict 21-day transplant-free survival (TFS) in patients with acute liver failure (ALF). Enter each of the 5 data points as indicated and the model will calculate the percent likelihood of TFS. By convention, most centers consider a prediction of > 20% likelihood of TFS as an indication for transplant listing. The model is a conservative one, rarely (2%) predicting survival in ALF patients that otherwise died or needed transplant.
References:
Koch DG, Tillman H, Durkalski V, Lee WM, Reuben A. Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure. Clin Gastroenterol Hepatol. 2016 Aug;14(8):1199-1206.
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The ALFSG Prognostic Model can be used to predict 21-day transplant-free survival (TFS) in patients with acute liver failure (ALF). Enter each of the 5 data points as indicated and the model will calculate the percent likelihood of TFS. By convention, most centers consider a prediction of > 20% likelihood of TFS as an indication for transplant listing. The model is a conservative one, rarely (2%) predicting survival in ALF patients that otherwise died or needed transplant.
References:
Koch DG, Tillman H, Durkalski V, Lee WM, Reuben A. Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure. Clin Gastroenterol Hepatol. 2016 Aug;14(8):1199-1206.
ASO analyse Acute Liver Failure Prognostic app for iPhone and iPad
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Application availability
Available in countries
Country | Price |
---|---|
Canada | free |
China | free |
France | free |
Germany | free |
Italy | free |
Netherlands | free |
Portugal | free |
Spain | free |
Poland | free |
UK | free |
India | free |
Japan | free |
Korea, Republic Of | free |
Poland | free |
Russia | free |
Turkey | free |
USA | free |
Korea, Republic Of | free |
Ukraine | free |