What are the prognostic models used to predict the risk of acute liver failure (ALF)?

Updated: Jun 13, 2019
  • Author: Gagan K Sood, MD; Chief Editor: BS Anand, MD  more...
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Answer

Lo Re et al have proposed a new prognostic model to predict the risk of acute liver failure in patients with drug-induced liver injury that takes into consideration a patient's platelet count and total bilirubin level rather than the conventional use of alanine aminotransferase or aspartate aminotransferase and total bilirubin values used in Hy's law. [29] They reported a high sensitivity of predicting acute liver failure with their model as compared with the low sensitivity but high specificity when Hy's law is used.

More recently, researchers in the United Kingdom and Denmark developed a statistical outcome prediction model to support decision making in patients with acetaminophen-induced acute liver failure. [30] Variables include patients’ age, Glasgow coma scale, arterial pH and lactate levels, creatinine levels, international normalized ratio, and cardiovascular failure, as well as changes in INR and lactate levels.


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