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Cirrhosis can be accurately sub-classified using quantification of fibrosis with CPA, and furthermore CPA is the only independent predictor of clinical decompensation amongst all other histological sub-classification systems described to date.

The aim of this study was to produce a prognostic model to help predict posttransplant survival in patients transplanted with grade‐3 acute‐on‐chronic liver failure (ACLF‐3). Patients with ACLF‐3 who underwent liver transplantation (LT) between 2007 and 2017 in 5 transplant centers were included (n = 152). Predictors of 1‐year mortality were retrospectively screened and tested on a single center training cohort and subsequently tested on an independent multicenter cohort composed of the 4 other centers. Four independent pretransplant risk factors were associated with 1‐year mortality after transplantation in the training cohort: age ≥53 years (P = .044), pre‐LT arterial lactate level ≥4 mml/L (P = .013), mechanical ventilation with PaO2/FiO2 ≤ 200 mm Hg (P = .026), and pre‐LT leukocyte count ≤10 G/L (P = .004). A simplified version of the model was derived by assigning 1 point to each risk factor: the transplantation for Aclf‐3 model (TAM) score. A cut‐off at 2 points distinguished a high‐risk group (score >2) from a low‐risk group (score ≤2) with 1‐year survival of 8.3% vs 83.9% respectively (P < .001). This model was subsequently validated in the independent multicenter cohort. The TAM score can help stratify posttransplant survival and identify an optimal transplantation window for patients with ACLF‐3.

BackgroundThe best predictors of short- and medium-term mortality of cirrhotic patients receiving intensive care support are unknown.MethodsWe conducted meta-analyses from 13 studies (2523 cirrhotics) after selection of original articles and response to a standardized questionnaire by the corresponding authors. End-points were in-ICU, in-hospital, and 6-month mortality in ICU survivors. A total of 301 pooled analyses, including 95 analyses restricted to 6-month mortality among ICU survivors, were conducted considering 249 variables (including reason for admission, organ replacement therapy, and composite prognostic scores).ResultsIn-ICU, in-hospital, and 6-month mortality was 42.7, 54.1, and 75.1%, respectively. Forty-eight patients (3.8%) underwent liver transplantation during follow-up. In-ICU mortality was lower in patients admitted for variceal bleeding (OR 0.46; 95% CI 0.36–0.59; p < 0.001) and higher in patients with SOFA > 19 at baseline (OR 8.54; 95% CI 2.09–34.91; p < 0.001; PPV = 0.93). High SOFA no longer predicted mortality at 6 months in ICU survivors. Twelve variables related to infection were predictors of in-ICU mortality, including SIRS (OR 2.44; 95% CI 1.64–3.65; p < 0.001; PPV = 0.57), pneumonia (OR 2.18; 95% CI 1.47–3.22; p < 0.001; PPV = 0.69), sepsis-associated refractory oliguria (OR 10.61; 95% CI 4.07–27.63; p < 0.001; PPV = 0.76), and fungal infection (OR 4.38; 95% CI 1.11–17.24; p < 0.001; PPV = 0.85). Among therapeutics, only dopamine (OR 5.57; 95% CI 3.02–10.27; p < 0.001; PPV = 0.68), dobutamine (OR 8.92; 95% CI 3.32–23.96; p < 0.001; PPV = 0.86), epinephrine (OR 5.03; 95% CI 2.68–9.42; p < 0.001; PPV = 0.77), and MARS (OR 2.07; 95% CI 1.22–3.53; p = 0.007; PPV = 0.58) were associated with in-ICU mortality without heterogeneity. In ICU survivors, eight markers of liver and renal failure predicted 6-month mortality, including Child–Pugh stage C (OR 2.43; 95% CI 1.44–4.10; p < 0.001; PPV = 0.57), baseline MELD > 26 (OR 3.97; 95% CI 1.92–8.22; p < 0.0001; PPV = 0.75), and hepatorenal syndrome (OR 4.67; 95% CI 1.24–17.64; p = 0.022; PPV = 0.88).ConclusionsPrognosis of cirrhotic patients admitted to ICU is poor since only a minority undergo liver transplant. The prognostic performance of general ICU scores decreases over time, unlike the Child–Pugh and MELD scores, even recorded in the context of organ failure. Infection-related parameters had a short-term impact, whereas liver and renal failure had a sustained impact on mortality.Electronic supplementary materialThe online version of this article (doi:10.1186/s13613-017-0249-6) contains supplementary material, which is available to authorized users.