Beyond KCH selection and options in acute liver failure

Hepatol Int. 2018 May;12(3):204-213. doi: 10.1007/s12072-018-9869-7. Epub 2018 Jun 1.

Abstract

The King's prognostic criteria for patients with acute liver failure (ALF) introduced in 1989 have been used worldwide. This distinguished for the first time cases with 'hyper-acute' course (characteristically paracetamol overdose) where there is a better chance of recovery with medical supportive care alone from those etiologies with a less acute course and paradoxically lower chances of 'spontaneous' recovery. Ongoing use showed the limited sensitivity of the criteria to constitute a significant practical limitation. Subsequent models including the MELD score and composite ones with markers of necrosis, an apoptotic liver cell death, proposed to improve sensitivity did not have the required high specificity. Two recent models utilizing new availability of web- and app-based computing delivering outcome predication through sophisticated algorithms are described. The first is a dynamic model described for paracetamol-induced ALF based upon admission findings and sequential variables over the first 2 days. The new model of the US Acute Liver Failure group was devised to cover all etiologies of ALF for predicting 'transplant-free' survival and accurately predicated spontaneous survival in two-thirds of cases. Improved survival results with medical management, particularly in hyper-acute cases, now approach those obtained with successful liver transplant and have raised the question of transplant benefit. Also considered in the review are new non-transplant approaches to treatment including the use of plasma exchange and based on successful results in acute-on-chronic liver failure, agents to modulate and improve hepatic regeneration.

Keywords: ALFSG; Acute liver failure; Dynamic model; King’s criteria; Liver transplant; Plasma exchange.

Publication types

  • Review

MeSH terms

  • Acetaminophen / adverse effects
  • Algorithms*
  • Analgesics, Non-Narcotic / adverse effects
  • Humans
  • Internet
  • Liver Failure, Acute* / chemically induced
  • Liver Failure, Acute* / therapy
  • Liver Transplantation
  • Mobile Applications
  • Models, Theoretical*
  • Prognosis
  • Severity of Illness Index
  • Survival Rate

Substances

  • Analgesics, Non-Narcotic
  • Acetaminophen