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1076A AASLD ABSTRACTS HEPATOLOGY, October, 2015<br />

The following authors have nothing to disclose: Svenja Sydor, Paul P. Manka,<br />

Sami Jafoui, Martin Schlattjan, Francisco Javier Cubero, Thomas Schreiter, Diana<br />

Vetter, Andreas Paul, Guido Gerken, Ali Canbay, Lars Bechmann<br />

1780<br />

Liver specific organ failure scoring systems, CLIF-OF and<br />

CLIF-ACLF are better than King’s College Hospital criteria<br />

in predicting mortality in patients with Acute Liver<br />

Failure (ALF) admitted to Intensive Care Unit<br />

Francesco Figorilli 2,1 , Antonella Putignano 2 , Banwari Agarwal 3 ,<br />

Rajiv Jalan 2 ; 1 Universita’ di Cagliari, Cagliari, Italy; 2 UCL Medical<br />

School, Royal Free Campus, Liver failure group, UCL Institute for<br />

Liver and Digestive Health, London, United Kingdom; 3 Intensive<br />

Care Unit, Royal Free Hospital, Royal Free Hampstead NHS Trust,<br />

University College London, London, United Kingdom<br />

Background. ALF is a critical illness and a liver transplant (LT)<br />

is often the only life-saving treatment. King’s College Hospital<br />

criteria (KCH) are currently used to identify LT potential candidates.<br />

Given high mortality and the organ shortage, a more<br />

sensitive score is needed. In this study, nine different exiting<br />

scores (MELD, UKELD, iMELD, APACHE2, APACHE3, SOFA,<br />

KCH, CLIF-OF and CLIF-ACLF) were assessed at the admission<br />

to find the best predictor of mortality. Methods. Transplanted<br />

and non-transplanted patients were analysed separately and<br />

further stratified in base of aetiology (Paracetamol overdose<br />

(POD) or other causes (Non-POD)). Primary endpoint was the<br />

3-month mortality of any cause. For each score we assessed the<br />

area under the curve (AUC), the best cut-off value, sensitivity,<br />

specificity and positive predictive value (PPV). Cox analysis<br />

was used to identify the best predictor of 3-month mortality.<br />

Results. 200 patients admitted between 1990-2014 in our<br />

centre were included in this study (98 POD, female 65%, mean<br />

age 38.3±12,8). 70/200 received a LT (19 POD, 51 Non-<br />

POD), and 22 (31.4%) died within 3 months. In the Non LT<br />

cohort (79 POD and 51 NON POD), the mortality rate was<br />

41.5%. 90 patients fulfilled poor prognostic KCH criteria but<br />

did not receive a LT (12 were not listed for psychiatric problem,<br />

29 was considered too unwell for a LT and 31 spontaneously<br />

recovered). 18/90 were listed but 12 died on the waiting list<br />

and 6 improved. In Non-LT/Non-POD group CLIF-ACLF had<br />

the best AUC (0.799) with 73.9% sensitivity and 70.8% PPV;<br />

also it was the best mortality predictor in the multivariate analysis<br />

(p=0.001; HR 1.09; 95%CI 1.04-1.16). In Non-LT/POD<br />

CLIF-OF showed the second highest AUC (0.793) after SOFA<br />

(0.799) but with a higher sensitivity (93.5% vs 77.4%). In<br />

the univariate analysis CLIF-OF cut-off (12) had the highest<br />

Hazard Ratio (38.9). In Cox regression SOFA was the only<br />

significant in Non-LT/POD group (p

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