Background and aims Despite concerns that liver transplant (LT) recipients may be at increased risk of unfavorable outcomes from COVID-19 due the high prevalence of co-morbidities, immunosuppression and ageing, a detailed analysis of their effects in large studies is lacking Methods Data from adult LT recipients with laboratory confirmed SARS-CoV2 infection were collected across Europe. All consecutive patients with symptoms were included in the analysis, Results Between March 1st and June 27 th 2020, data from 243 adult symptomatic cases from 36 centers and 9 countries were collected. Thirty-nine (16%) were managed as outpatients while 204 (84%) required hospitalization including admission to the ICU (39/204, 19.1%). Forty-nine (20.2%) patients died after a median of 13.5 (10-23) days, respiratory failure was the major cause. After multivariable Cox regression analysis, age > 70 (HR 4.16; 95%CI 1.78-9.73) had a negative effect and tacrolimus (TAC) use (HR 0.55; 95%CI 0.31-0.99) had a positive independent effect on survival. The role of co-morbidities was strongly influenced by the dominant effect of age where comorbidities increased with the increasing age of the recipients. In a second model excluding age, both diabetes (HR 1.95; 95%CI 1.06 - 3.58) and chronic kidney disease (HR 1.97; 95%CI 1.05 - 3.67) emerged as associated with death Conclusions Twenty-five per cent of patients requiring hospitalization for Covid-19 died, the risk being higher in patients older than 70 and with medical co-morbidities, such as impaired renal function and diabetes. Conversely, the use of TAC was associated with a better survival thus encouraging clinicians to keep TAC at the usual dose.

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.

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In a specialized setting, P-AR for locally advanced pancreatic adenocarcinoma can be performed safely with limited mortality and morbidity. Negative resection margin and the absence of associated venous invasion might predict favorable long-term outcomes.