Literature DB >> 34025755

Predicting outcome in liver patients admitted to intensive care: A dual-centre non-specialist hospital external validation of the Liver injury and Failure evaluation score.

Eleanor de Sausmarez1, Paul Crowest1, Steve Fry1, Luke Hodgson1,2.   

Abstract

BACKGROUND: Acute hepatic dysfunction in the critically ill population with pre-existing liver cirrhosis is associated with a high mortality. Several prediction models have been developed to risk stratify patients with liver disease.
METHODS: This UK dual-centre non-specialist hospital retrospective study (2015-2019) externally validated the Liver injury and Failure evaluation score (incorporating lactate, bilirubin and International Normalised Ratio), alongside two other general intensive care unit prediction models (Intensive Care National Audit and Research Centre and Acute Physiology and Chronic Health Evaluation II). Inclusion criteria matched a recent UK-wide study including at least one of biopsy proven cirrhosis, imaging suggestive of cirrhosis, hepatic encephalopathy or portal hypertension.
RESULTS: One hundred and ninety-nine admissions met inclusion criteria over the study period (n = 169), mean age 57( ±13). In-hospital mortality was 40% in this cohort compared to 18% of all intensive care unit individuals during the same period. Variceal bleeding was associated with a lower short-term (18% versus 47%, P < 0.001, odds ratio 0.3 (95% confidence interval 0.1-0.5)) and longer-term mortality (log rank P = 0.015). In-patient mortality was higher in cases requiring renal replacement therapy (82% versus 29%, odds ratio 11.1 (95% confidence interval 4.6-26.9), P < 0.001) or ventilation (47% versus 32%, odds ratio 1.9 (1.1-3.4), P = 0.03). For in-patient mortality, area under the receiver operating characteristic curves were Liver injury and Failure evaluation 0.69 (95% confidence interval 0.62-0.77), Intensive Care National Audit and Research Centre 0.80 (0.74-0.86) and Acute Physiology and Chronic Health Evaluation II 0.73 (0.65-0.81). Forty-one per cent of cases were alive at one-year follow-up. Area under the receiver operating characteristic curves for one-year survival were Liver injury and Failure evaluation 0.69 (0.61-0.77), Intensive Care National Audit and Research Centre 0.75 (0.67-0.82) and Acute Physiology and Chronic Health Evaluation II 0.69 (0.61-0.77).
CONCLUSION: This first Liver injury and Failure evaluation score validation in a UK non-specialist hospital setting suggests this parsimonious, easy to calculate model may have utility in prediction of short-term and one-year mortality. As with previous studies variceal haemorrhage was associated with lower mortality. © The Intensive Care Society 2020.

Entities:  

Keywords:  Acute liver failure; acute liver failure; acute on chronic liver failure; critical care; intensive care; liver cirrhosis; mortality prediction; prediction model

Year:  2020        PMID: 34025755      PMCID: PMC8120575          DOI: 10.1177/1751143720924352

Source DB:  PubMed          Journal:  J Intensive Care Soc        ISSN: 1751-1437


  32 in total

Review 1.  New concepts on the clinical course and stratification of compensated and decompensated cirrhosis.

Authors:  Gennaro D'Amico; Alberto Morabito; Mario D'Amico; Linda Pasta; Giuseppe Malizia; Paola Rebora; Maria Grazia Valsecchi
Journal:  Hepatol Int       Date:  2017-07-05       Impact factor: 6.047

2.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

3.  A global clinical measure of fitness and frailty in elderly people.

Authors:  Kenneth Rockwood; Xiaowei Song; Chris MacKnight; Howard Bergman; David B Hogan; Ian McDowell; Arnold Mitnitski
Journal:  CMAJ       Date:  2005-08-30       Impact factor: 8.262

Review 4.  Renal failure and cirrhosis: a systematic review of mortality and prognosis.

Authors:  Giuseppe Fede; Gennaro D'Amico; Vasiliki Arvaniti; Emmanuel Tsochatzis; Giacomo Germani; Dimosthenis Georgiadis; Alberto Morabito; Andrew Kenneth Burroughs
Journal:  J Hepatol       Date:  2011-12-13       Impact factor: 25.083

5.  Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis.

Authors:  Richard Moreau; Rajiv Jalan; Pere Gines; Marco Pavesi; Paolo Angeli; Juan Cordoba; Francois Durand; Thierry Gustot; Faouzi Saliba; Marco Domenicali; Alexander Gerbes; Julia Wendon; Carlo Alessandria; Wim Laleman; Stefan Zeuzem; Jonel Trebicka; Mauro Bernardi; Vicente Arroyo
Journal:  Gastroenterology       Date:  2013-03-06       Impact factor: 22.682

6.  Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure.

Authors:  Rajiv Jalan; Faouzi Saliba; Marco Pavesi; Alex Amoros; Richard Moreau; Pere Ginès; Eric Levesque; Francois Durand; Paolo Angeli; Paolo Caraceni; Corinna Hopf; Carlo Alessandria; Ezequiel Rodriguez; Pablo Solis-Muñoz; Wim Laleman; Jonel Trebicka; Stefan Zeuzem; Thierry Gustot; Rajeshwar Mookerjee; Laure Elkrief; German Soriano; Joan Cordoba; Filippo Morando; Alexander Gerbes; Banwari Agarwal; Didier Samuel; Mauro Bernardi; Vicente Arroyo
Journal:  J Hepatol       Date:  2014-06-17       Impact factor: 25.083

7.  Prognosis of cirrhotic patients admitted to intensive care unit: a meta-analysis.

Authors:  Delphine Weil; Eric Levesque; Marc McPhail; Rodrigo Cavallazzi; Eleni Theocharidou; Evangelos Cholongitas; Arnaud Galbois; Heng Chih Pan; Constantine J Karvellas; Bertrand Sauneuf; René Robert; Jérome Fichet; Gaël Piton; Thierry Thevenot; Gilles Capellier; Vincent Di Martino
Journal:  Ann Intensive Care       Date:  2017-03-21       Impact factor: 6.925

8.  CLIF-SOFA score and SIRS are independent prognostic factors in patients with hepatic encephalopathy due to alcoholic liver cirrhosis.

Authors:  Jin Hee Jeong; In Sung Park; Dong Hoon Kim; Seong Chun Kim; Changwoo Kang; Soo Hoon Lee; Tae Yun Kim; Sang Bong Lee
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

Review 9.  Child-Pugh Versus MELD Score for the Assessment of Prognosis in Liver Cirrhosis: A Systematic Review and Meta-Analysis of Observational Studies.

Authors:  Ying Peng; Xingshun Qi; Xiaozhong Guo
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

10.  The eICU Collaborative Research Database, a freely available multi-center database for critical care research.

Authors:  Tom J Pollard; Alistair E W Johnson; Jesse D Raffa; Leo A Celi; Roger G Mark; Omar Badawi
Journal:  Sci Data       Date:  2018-09-11       Impact factor: 6.444

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