Literature DB >> 34281984

COVID-19 in liver transplant candidates: pretransplant and post-transplant outcomes - an ELITA/ELTR multicentre cohort study.

Luca Saverio Belli1, Christophe Duvoux2, Paolo Angelo Cortesi3, Rita Facchetti3, Speranta Iacob4, Giovanni Perricone5, Sylvie Radenne6, Sara Conti7, Damiano Patrono8, Gabriela Berlakovich9, Angus Hann10, Luisa Pasulo11, Lluis Castells12, Francois Faitot13, Olivier Detry14, Federica Invernizzi15, Giulia Magini16, Paolo De Simone17, Ilias Kounis18, Maria Cristina Morelli19, Fernando Díaz Fontenla20, Bo-Göran Ericzon21, Carmelo Loinaz22, Chris Johnston23, Liliana Gheorghe24, Mickael Lesurtel25, Renato Romagnoli8, Dagmar Kollmann9, M Thamara Pr Perera26, Stefano Fagiuoli27, Darius Mirza26, Audrey Coilly28,29, Christian Toso30, Krzysztof Zieniewicz31, Laure Elkrief32, Vincent Karam33, Rene Adam33, Caroline den Hoed34, Marco Merli35, Massimo Puoti35, Luciano De Carlis36, Gabriel C Oniscu21, Salvatore Piano37, Paolo Angeli37, Constantino Fondevila38, Wojciech G Polak39.   

Abstract

OBJECTIVE: Explore the impact of COVID-19 on patients on the waiting list for liver transplantation (LT) and on their post-LT course.
DESIGN: Data from consecutive adult LT candidates with COVID-19 were collected across Europe in a dedicated registry and were analysed.
RESULTS: From 21 February to 20 November 2020, 136 adult cases with laboratory-confirmed SARS-CoV-2 infection from 33 centres in 11 European countries were collected, with 113 having COVID-19. Thirty-seven (37/113, 32.7%) patients died after a median of 18 (10-30) days, with respiratory failure being the major cause (33/37, 89.2%). The 60-day mortality risk did not significantly change between first (35.3%, 95% CI 23.9% to 50.0%) and second (26.0%, 95% CI 16.2% to 40.2%) waves. Multivariable Cox regression analysis showed Laboratory Model for End-stage Liver Disease (Lab-MELD) score of ≥15 (Model for End-stage Liver Disease (MELD) score 15-19, HR 5.46, 95% CI 1.81 to 16.50; MELD score≥20, HR 5.24, 95% CI 1.77 to 15.55) and dyspnoea on presentation (HR 3.89, 95% CI 2.02 to 7.51) being the two negative independent factors for mortality. Twenty-six patients underwent an LT after a median time of 78.5 (IQR 44-102) days, and 25 (96%) were alive after a median follow-up of 118 days (IQR 31-170).
CONCLUSIONS: Increased mortality in LT candidates with COVID-19 (32.7%), reaching 45% in those with decompensated cirrhosis (DC) and Lab-MELD score of ≥15, was observed, with no significant difference between first and second waves of the pandemic. Respiratory failure was the major cause of death. The dismal prognosis of patients with DC supports the adoption of strict preventative measures and the urgent testing of vaccination efficacy in this population. Prior SARS-CoV-2 symptomatic infection did not affect early post-transplant survival (96%). © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; liver cirrhosis; liver transplantation

Mesh:

Year:  2021        PMID: 34281984      PMCID: PMC8300535          DOI: 10.1136/gutjnl-2021-324879

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   31.793


Many publications have explored the impact of COVID-19 on patients with chronic liver disease, but no study has focused on patients on the waitlist for liver transplantation (LT). LT candidates with COVID-19 were at high risk of early death (32.7%), reaching 49.2% in those with decompensated cirrhosis (DC) and Laboratory Model for End-stage Liver Disease (Lab-MELD) score of ≥15, which is triple the mortality risk observed in listed patients with comparable Lab-MELD scores without COVID-19. The evaluation of two simple variables, Model for End-stage Liver Disease (MELD) class of ≥15 or <15 and dyspnoea (present or absent), allowed a clear distinction between the individual mortality risks on clinical presentation. Respiratory failure frequently resulted in LT candidate ineligibility for LT and was the most frequent cause of death. During the two waves of the pandemic, clinical presentation, course and mortality risk of COVID-19 did not significantly change. Short-term survival after LT was 96%, and no cases of SARS-CoV-2 reinfection were observed to date. LT candidates with DC should rigorously adopt all the usual measures to prevent SARS-CoV-2 infection and reinforced vaccination programmes should be implemented as the efficacy of standard vaccines is much lower than that reported in the registration studies. The evaluation of lab-MELD score and dyspnoea at clinical presentation will aid clinicians in their decision-making. LT in patients with prior COVID-19 is encouraged.

Introduction

Patients with cirrhosis are at increased risk of infections and associated complications due to cirrhosis-associated immune dysfunction,1–4 with bacterial infections being the most frequent trigger of acute decompensation (AD) and acute-on-chronic liver failure (ACLF).5 6 Existing evidence indicates the possibility that viral infections may cause AD and ACLF.7 Although data on the role of SARS-CoV-2 are limited, SARS-CoV-2 is particularly feared for patients with decompensated cirrhosis (DC) on the waiting list (WL) for liver transplantation (LT), as ACLF may lead to early death if patients cannot be transplanted in due time.8 Furthermore, the impact of SARS-CoV-2 infection on patients being transplanted after recovering from SARS-CoV-2 is relatively unknown. Thus, the European Liver and Intestine Association (ELITA) and the European Liver Transplant Registry (ELTR) called for a prospective registry aiming to address the following issues: What is the mortality risk of COVID-19 in LT candidates and which are the determinants of death on clinical presentation? How frequently does COVID-19 trigger ACLF, thus increasing the urgency for LT after recovering from COVID-19? Conversely, how many patients developed severe respiratory failure and were removed from the WL? What is the post-LT course of patients with pre-LT COVID-19? Did clinical presentation and course of COVID-19 differ between the two waves of the pandemic?

Methods

Study population

ELITA/ELTR COVID-19 registry was circulated in February 2020 among 149 LT centres affiliated to ELTR and located in 30 European countries. All centres reporting at least one case were provided with a database and instructions on how to record structured data. Thirty-three centres responded having observed SARS-CoV-2 infection in adult LT candidates from 21 February to 20 November 2020. Inclusion criteria include adult patients listed for LT, patients presenting with symptoms consistent with SARS-CoV-2 infection and confirmation of SARS-CoV-2 infection by a positive result on a reverse-transcriptase PCR (RT-PCR) assay of a specimen collected on a nasopharyngeal swab or on bronchoalveolar lavage. Exclusion criteria include patients with RT-PCR-confirmed SARS-CoV-2 infection without symptoms.

Patient and public involvement

It was not appropriate or possible to involve patients or the public in the design, or conduct, or reporting, or dissemination plans of our research.

Data collection and definitions

Demographic and clinical data, including clinical symptoms or signs on presentation, laboratory and radiological results during COVID-19 management, administered antiviral therapies and antithrombotic prophylaxis were retrospectively collected. All laboratory tests and radiological assessments were performed on the discretion of the treating physician. Serum creatinine was converted to milligram per decilitre for analysis. Obesity was defined as a Body Mass Index of >30 kg/m2. Model for End-stage Liver Disease (MELD) score stands for pure Laboratory Model for End-stage Liver Disease (Lab-MELD) score without additional points. Dyspnoea at admission was considered when combined with O2 saturation below 95. AD was defined as including one or more among the following events: de novo or worsening ascites, new or worsening hepatic encephalopathy, bacterial infection and/or variceal haemorrhage. The EASL Chronic Liver Failure Consortium (CLIF-C) definitions were used to determine the presence of ACLF in patients with AD and to calculate the CLIF-C-OF score and the CLIF-C ACLF score.8 The submitted files from each centre were manually reviewed to assess for data quality, completeness and inconsistencies. In addition, submitting clinicians were contacted and asked to provide corrections or data integration whenever needed.

Comparative analysis

To understand the relative impact of COVID-19 on survival of cirrhotic patients listed for LT, a comparison was made with a control group of 91 cirrhotic patients hospitalised in 2016–2020 for AD triggered by bacterial infection. This control group was also used to evaluate the impact of COVID-19 on liver function deterioration related to ACLF development and associated mortality.

Regulatory approval

Data were collected in accordance with General Data Protection Regulation, the European Union legislation and the ELTR privacy policy.

Statistical analysis

Analysis was led by the Research Centre on Public Health, University of Milan-Bicocca, Monza, Italy. A descriptive analysis of the cohort was carried out on the overall population and following stratification of the population by site of management, at home, in general wards and in intensive care units (ICU). Categorical variables were summarised through percentages, and continuous variables through median, first quartile and third quartile. Categorical variables were compared using the χ2 or Fisher’s exact test; continuous variables were compared using the Mann-Whitney U-test or the Kruskall-Wallis test, when appropriate. All tests were two-sided and used a significance level of 0.05. Cumulative incidence curves for LT from WL were constructed considering death as a competing risk.9 The association between mortality and baseline clinically relevant characteristics of symptomatic patients were evaluated through univariate Cox proportional hazard models. All characteristics analysed in the univariate model were included in a stepwise selection process that identified the best multivariate model. To compare the effect of COVID-19 or bacterial infection on risk of death, Cox proportional hazard models were performed after adjusting for MELD or Child-Pugh, and age, sex, aetiology and diabetes mellitus. A further analysis was conducted to compare the patient characteristics and outcomes of LT candidates infected during the two waves of the pandemic. The end of the first wave (June 2020) and the beginning of the second wave (July 2020) were identified analysing the graphical trend in the number of new patients with COVID-19 reported in the registry. Overall survival of all patients was also provided. All statistical analyses were conducted using SAS V.9.4 and R V.4.0.0 (R Core Team, Vienna, Austria). The map was drawn using QGIS software V.3.10 (QGIS Development Team).

Results

LT candidates with SARS-CoV-2 infection: patient disposition

Thirty-three centres from 11 European countries observed at least one LT candidate with RT-PCR-confirmed SARS-CoV-2 infection. Of the 1865 patients on the WL at the participating sites, 136 LT candidates with SARS-CoV-2 infection (7.29%) were consecutively reported in the registry. Twenty-three (16.9%) were asymptomatic at the time of diagnosis, with the RT-PCR test being performed due to surveillance protocols for being in contact with a SARS-CoV-2-positive subject (13 cases), for screening at the time of LT (8 cases) and for screening at hospital admission for cirrhosis complications (2 cases). On comparing the baseline characteristics of the two groups of symptomatic and asymptomatic cases, no major significant differences emerged between the two populations (online supplemental table 1). These 23 asymptomatic cases were excluded for the analysis and their outcome is reported in online supplemental figure 1. The remaining 113 subjects (113/136, 83.1%), representing the 6.05% of the subjects on the WL, presented with symptomatic SARS-CoV-2 infection (COVID-19) and were analysed (figure 1 and online supplemental figure 2).
Figure 1

Flowchart showing the selection of the study population and intermediate/final outcomes. LT, liver transplantation; WL, waiting list.

Flowchart showing the selection of the study population and intermediate/final outcomes. LT, liver transplantation; WL, waiting list.

Characteristics and clinical course of 113 patients with COVID-19

Thirty-three patients (29.2%) received homecare, and the remaining 80 patients (70.8%) required hospitalisation (figure 1), with 52 (65%) patients being treated in a general ward and 28 (35%) in the ICU. Baseline patient characteristics are reported in table 1. The median age was 58.0 (IQR 53–63) and 61.9% were men. DC with or without hepatocellular carcinoma (HCC) (68.1%) and HCC on compensated cirrhosis (17.7%) were the main indications for LT.
Table 1

Baseline characteristics of the COVID-19 cases

Total (N=113)
Male, n (%)70 (61.9)
Age at symptoms (years)
 Median (IQR)58 (53–63)
Age class at symptoms (years), n(%)
 ≤5023 (20.4)
 50–6043 (38.1)
 >6047 (41.6)
Location of patient at occurrence of symptoms, n(%)
 Home75 (67)
 Hospital35 (31.3)
 On arrival for LT2 (1.8)
 Missing1
Indication for LT, n (%)
 Decompensated cirrhosis with or without HCC*77 (68.1)
 HCC20 (17.7)
 Other†16 (14.2)
Aetiology, n (%)
 Alcohol30 (26.5)
 Alcohol+NASH8 (7.1)
 Alcohol+HCV active or inactive5 (4.4)
 AIH+PBC+PSC17 (15)
 HBV12 (10.6)
 HCV active or inactive9 (8)
 NASH8 (7.1)
 Other24 (21.2)
Comorbidities,N(%)
 No29 (25.7)
 Diabetes mellitus45 (39.8)
 Arterial hypertension26 (23)
 BMI>30 kg/m2 23 (20.4)
 Current or former tobacco smoker18 (15.9)
 Kidney function impairment‡12 (10.6)
 Chronic obstructive lung disease5 (4.4)
 Coronary artery disease4 (3.5)
 Other6 (5.3)
Number of comorbidities class, n (%)
 029 (25.7)
 146 (40.7)
 224 (21.2)
 ≥314 (12.4)
Drugs, n (%)
 No63 (55.8)
 Beta blockers37 (32.7)
 ACE inhibitors or angiotensin II receptor antagonists7 (6.2)
 Beta blockers+ACE inhibitors6 (5.3)
MELD score pre-COVID-19, n (%)
 Median (IQR)16 (11–21)
 <1542 (37.2)
 15–1934 (30.1)
 ≥2037 (32.7)
Child-Pugh score pre-COVID-19,§ n (%)
 Median (IQR)8 (7–10)
 5–625 (23.6)
 7–942 (39.6)
 ≥1039 (36.8)
 Missing1
International Norm INR pre-COVID-19
 Median (IQR)1.4 (1.2–1.8)
Bilirubin (mg/dL) pre-COVID-19
 Median (IQR)2.7 (1–8)
Creatinine (mg/dL) pre-COVID-19
 Median (IQR)0.9 (0.8–1.3)
Ascites pre-COVID-19,§ n (%)
 0=no34 (32.7)
 1=only at ultrasound17 (16.3)
 2=moderate32 (30.8)
 3=severe or tense ascites6 (5.8)
 4=refractory15 (14.4)
 Missing3
Hepatic encephalopathy pre-COVID-19,§ n (%)
 1=absent81 (77.9)
 2=grades 1–221 (20.2)
 3=grades 3–42 (1.9)
 Missing3

Pre-COVID-19 denotes most recent value before symptoms.

*72 of 77 patients without HCC and 5 of 77 with HCC.

†Re-LT for chronic rejection or hepatic artery thrombosis; autosomal dominant polycystic liver disease; neuroendocrine tumour; primary sclerosing cholangitis; surgical biliary complication.

‡P-creatinine >2 mg/dL

§6 patients without cirrhosis were excluded.

AIH, autoimmune hepatitis; BMI, Body Mass Index; HCC, hepatocellular carcinoma; INR, international normalised ratio; LT, liver transplant; NASH, non-alcoholic steatohepatitis; PBC, primary biliary cholangitis; PSC, primary sclerosing cholangitis.

Baseline characteristics of the COVID-19 cases Pre-COVID-19 denotes most recent value before symptoms. *72 of 77 patients without HCC and 5 of 77 with HCC. †Re-LT for chronic rejection or hepatic artery thrombosis; autosomal dominant polycystic liver disease; neuroendocrine tumour; primary sclerosing cholangitis; surgical biliary complication. ‡P-creatinine >2 mg/dL §6 patients without cirrhosis were excluded. AIH, autoimmune hepatitis; BMI, Body Mass Index; HCC, hepatocellular carcinoma; INR, international normalised ratio; LT, liver transplant; NASH, non-alcoholic steatohepatitis; PBC, primary biliary cholangitis; PSC, primary sclerosing cholangitis.

Comorbidities

Forty-five (39.8%) patients had diabetes mellitus; 26 (23.2%) had arterial hypertension; 12 (10.7%) had renal function impairment with serum creatinine of >2 mg/dL; and 5 (4.5%) had chronic obstructive lung diseases. Eighty-four (74.3%) patients had at least one comorbidity and 38 (33.6%) patients had two or more (table 1).

Clinical presentation and course

At diagnosis, the most common symptoms included fever (74 patients, 65.5%), cough (64 patients, 56.6%) and dyspnoea (30 patients, 26.6%). Radiological imaging (CT scan or chest X-ray) showed typical ground-glass opacities in 61 cases (54%) (table 2), with bacterial pneumonia being superimposed in one-third of the cases (20/61=32.7%).
Table 2

Clinical presentation and course after COVID-19 symptoms

Total (N=113)
Symptoms at clinical diagnosis, n(%)
 Fever>37.2°C74 (65.5)
 Cough64 (56.6)
 Dyspnoea30 (26.6)
 Fatigue19 (16.8)
 Confusion14 (12.4)
 Diarrhoea13 (11.5)
 Muscle pain9 (8)
 Thoracic pain5 (4.4)
 Anosmia and dysgeusia4 (3.5)
 Other4 (3.5)
Chest X-ray or thorax CT scan, n(%)
 No12 (10.7)
 Yes, normal39 (34.8)
 Yes, ground-glass opacities58 (51.8%)
 Yes, lobar infiltrates+ground-glass opacities3 (2.7)
 Missing1
Respiratory support, n(%)
 No57 (50.4)
 O2 support28 (24.8)
 Non-invasive ventilation13 (11.5)
 Invasive mechanical ventilation15 (13.3)
AD, n (%)
 No75 (66.4)
 Yes34 (30.1)
 Yes, unrelated to COVID-194 (3.5)
ACLF, n (%)
 No ACLF93 (82.3)
 ACLF grade 1a0 (0)
 ACLF grade 1b2 (1.8)
 ACLF grade 23 (2.7)
 ACLF grade 3a3 (2.7)
 Unrelated to COVID-191 of 3
 ACLF grade 3b12 (10.6)
 Unrelated to COVID-192 of 12
CLIF-C ACLF score
 Median (IQR)60.82 (11–42)
Renal replacement therapy, n (%)9 (8)
Vasoactive drugs (norepinephrine), n (%)16 (14.3)
Myocarditis, n (%)3 (2.7)
Bilirubin (mg/dL): peak value
 Median (IQR)3.2 (1.4–10.1)
INR: peak value
 Median (IQR)1.5 (1.2–2)
Creatinine (mg/dL): peak value
 Median (IQR)1.1 (0.8–1.6)
MELD score: peak value
 Median (IQR)18 (13–25)
COVID-19 therapy, n (%)
 None64 (56.6)
 Low-molecular weight heparin29 (25.7)
 OH-chloroquine16 (14.2
 Azythromicin14 (12.4)
 High-dose steroids7 (6.2)
 Lopinavir/ritonavir5 (4.4)
 Tocilizumab5 (4.4)
 Remdesevir4 (3.5)
 Other2 (1.8)
Outcome, n (%)
 Alive75 (66.4%)
 Dead37 (32.7%)
 Death after LT1 (0.9%)
Time between symptoms and last follow-up (days)
 Median (IQR)55 (27–183)
Cause of death, N (%)
 Respiratory failure10 (27)
 Liver failure+respiratory failure20 (54.1)
 Liver failure without respiratory failure4 (10.8)
 Other causes+respiratory failure3 (8.1)
Patients having received an LT, n (%)26 (23)
Time between symptoms and LT (days), median (IQR)78.5 (44–102)

ACLF, acute-on-chronic liver failure; AD, acute decompensation; CLIF-C, Chronic Liver Failure Consortium; LT, liver transplantation; MELD, Model for End-stage Liver Disease.

Clinical presentation and course after COVID-19 symptoms ACLF, acute-on-chronic liver failure; AD, acute decompensation; CLIF-C, Chronic Liver Failure Consortium; LT, liver transplantation; MELD, Model for End-stage Liver Disease. Overall, 56 (49.6%) patients required respiratory support during hospitalisation, with 13 requiring non-invasive ventilation and 15 requiring,invasive mechanical ventilation. Forty-nine patients received specific anti-SARS-CoV-2 treatment based on local protocols. Twenty-nine patients (25.7%) were treated with low-molecular weight heparin. Two patients experienced pulmonary thromboembolism; neither was on heparin prophylaxis.

Clinical features and outcomes in patients treated at home, in general wards and in the ICU

Baseline characteristics and disease course of patients with less severe symptoms who could be treated at home and of those with more severe symptoms requiring hospitalisation in general wards and in ICU are reported in online supplemental table 2 and 3. Patients treated at home had lower Child-Pugh and biochemical MELD scores, while age and number of comorbidities were similar.

Wait-list mortality and predictive factors

Thirty-seven patients died (37/113, 32.7%) after a median of 18 (IQR 10–30) days from diagnosis, the great majority (33/37, 89.1%) with respiratory failure. The remaining four patients died of end-stage liver disease without respiratory failure after 18, 67, 205 and 210 days from COVID-19 diagnosis with only two of them being SARS-CoV-2 negative. The cumulative incidence of death and LT by competitive risk analysis is reported in online supplemental figure 3. On clinical presentation, the following five factors were significantly associated with mortality risk by univariable analysis: DC with or without HCC, dyspnoea, kidney function impairment with serum creatinine of >2 mg/dL, Lab-MELD class of 15–19 and Lab-MELD class of ≥20 (table 3). Estimated probability of survival stratified by main indication for LT (DC, HCC and other indications), Lab-MELD score on presentation (<15, 15–20 and >20), dyspnoea on presentation and kidney function impairment are shown in figure 2A–D. Three factors resulted significantly associated to mortality in multivariable analysis, namely, dyspnoea (HR 3.89, 95% CI 2.02 to 7.51), MELD class of 15–19 (HR 5.46, 95% CI 1.81 to 16.50) and MELD class of ≥20 (HR 5.24, 95% CI 1.77 to 15.55). The Kaplan-Meier survival curves stratified by MELD class of ≥15 or <15 and dyspnoea (present or absent) allowed a clear distinction between the individual mortality risks on clinical presentation (figure 3). Kaplan-Meier (KM) survival of the whole population and after stratification by place of management, defined as the place of highest intensity of care during COVID-19 (at home, in general ward or in ICU), is provided in online supplemental figure 4. All patients managed at home survived, while the probability of survival at 30 days was 80.8% (95% CI 67.2% to 89.2%) and 35.7% (95% CI 18.9% to 53.0%) for patients treated in the general ward and in the ICU, respectively, and this declined to 69.7% (95% CI 53.5% to 81.2%) and 24.5% (95% CI 10.6% to 41.5%) at 90 days.
Table 3

Results from univariate and multivariate analyses of baseline predictors of mortality, from Cox proportional hazard regression models

VariableUnivariable modelsMultivariable model
HR (95% CI)P valueHR (95% CI)P value
Age (years)
 <501 ref
 50–641.028 (0.435 to 2.432)0.95
 ≥651.827 (0.694 to 4.808)0.22
Gender, male versus female1.072 (0.551 to 2.084)0.84
Indication for LT
 HCC1 ref
 Decompensated cirrhosis without HCC 10.567 (1.444 to 77.327) 0.020
 Other4.126 (0.429 to 39.682)0.22
Aetiology
 HBV, HCV or other cirrhosis1 ref
 Alcohol1.354 (0.677 to 2.709)0.39
 NASH1.195 (0.348 to 4.107)0.78
 Other non-cirrohsis1.095 (0.251 to 4.776)0.90
 Dyspnoea as presenting symptom 4.087 (2.139 to 7.808) <0.001 3.894 (2.018 to 7.514) <0.0001
 BMI≥30 vs BMI<300.860 (0.378 to 1.960)0.72
 Diabetes mellitus (yes vs no)1.426 (0.748 to 2.717)0.28
 Kidney function impairment with p-creatinine>2 mg/dL 2.61 (1.142 to 5.972) 0.023
Number of comorbidities
 01 ref
 10.689 (0.298 to 1.595)0.38
 20.831 (0.316 to 2.19)0.71
 3+2.071 (0.813 to 5.271)0.13
MELD class
 MELD<151 ref1 ref
 MELD 15–19 5.267 (1.746 to 15.888) 0.003 5.463 (1.808 to 16.5016) 0.003
 MELD≥20 6.055 (2.048 to 17.906) 0.001 5.242 (1.768 to 15.545) 0.003

BMI, Body Mass Index; HCC, hepatocellular carcinoma; LT, liver transplantation; MELD, Model for End-stage Liver Disease; ref, reference.

Figure 2

Kaplan-Meier survival from the date of COVID-19 symptoms stratified by (A) indication for liver transplantation (DC without HCC, HCC, others); (B) MELD score categories; (C) dyspnoea on presentation; and (D) kidney function impairment. DC, decompensated cirrhosis; FI, function impairment; HCC, hepatocellular carcinoma; MELD, Model for End-stage Liver Disease.

Figure 3

Kaplan-Meier survival from the date of COVID-19 symptoms stratified by MELD score and dyspnoea on presentation. MELD, Model for End-stage Liver Disease.

Results from univariate and multivariate analyses of baseline predictors of mortality, from Cox proportional hazard regression models BMI, Body Mass Index; HCC, hepatocellular carcinoma; LT, liver transplantation; MELD, Model for End-stage Liver Disease; ref, reference. Kaplan-Meier survival from the date of COVID-19 symptoms stratified by (A) indication for liver transplantation (DC without HCC, HCC, others); (B) MELD score categories; (C) dyspnoea on presentation; and (D) kidney function impairment. DC, decompensated cirrhosis; FI, function impairment; HCC, hepatocellular carcinoma; MELD, Model for End-stage Liver Disease. Kaplan-Meier survival from the date of COVID-19 symptoms stratified by MELD score and dyspnoea on presentation. MELD, Model for End-stage Liver Disease.

Impact of COVID-19 on liver function deterioration: AD and ACLF

A total of 38 patients (38/113=33.6%) presented or developed AD during COVID-19. Decompensation events included new or worsening ascites of 55.3% (21/38), hepatic encephalopathy of 57.9% (22/38), spontaneous bacterial peritonitis of 31.6% (12/38) and variceal haemorrhage of 13.2% (5/38). Twenty of these 38 patients with AD (55.2%) met the criteria for ACLF: grade 1b in 2, grade 2 in 3, grade 3a in 3 and grade 3b in 12, with mortality being significantly higher in patients with ACLF compared with no ACLF (85% vs 21.7%, p<0.001) (table 2).

Comparative analysis: ACLF induced by COVID-19 or by bacterial infection

Online supplemental table 4 shows the comparison between cirrhotic patients with COVID-19 listed for LT (n=106 of 113 patients) and cirrhotic patients hospitalised for AD due to bacterial infection (n=91) serving as the control group. The two cohorts were similar for gender distribution and MELD/Child-Pugh scores, whereas patients with COVID-19 were significantly younger and their liver disease was less frequently caused by alcohol use disorders. The 30-day cumulative probability of overall mortality was similar, 24.8% (95% CI 17.6% to 34.2%) vs 28.5% (95% CI 20.2% to 39.3%, p=0.50), and did not vary across different MELD (<15, 15–19 and ≥20) and Child-Pugh classes, adjusted for possible confounders (online supplemental figure 5). ACLF incidence resulted lower in patients with COVID-19 (18.9% vs 30.8%), although mortality after developing ACLF was significantly higher for patients having ACLF triggered by COVID-19 (85% vs 53%), which is explained by the frequent occurrence of refractory respiratory failure in patients with COVID-19 and ACLF (18/20 vs 0/28).

Comparative analysis: first and second waves

Fifty-one patients developed COVID-19 between February and June 2020 (first wave), and 62 between July and November 2020 (second wave) (online supplemental figure 6). Clinical presentation and course were similar between the two waves, the only difference being a twofold increase in the percentage of patients receiving heparin during the second wave. The 60-day mortality risk in the overall population was 35.3% (95% CI 23.9% to 50.0%) vs 26.0% (95% CI 16.2% to 40.2%), and peaked to 43.9% (95% CI 30.4% to 60.3%) vs 41.7% (95% CI 26.6% to 61.0%) in those requiring hospitalisation, with respiratory failure being the major cause of death (table 4 and online supplemental figure 7).
Table 4

Comparison between first and second SARS-CoV-2 waves

First wave (February–June 2020)Second wave (July–November 2020)P value
n=51n=62
Age at symptoms (years)59 (53–63)57 (52–64)0.58
Site of highest intensity of care, n (%)
 Outpatient10 (19.6)23 (37.1)0.093
 Ward25 (49.0)27 (43.6)
 ICU16 (31.4)12 (19.4)
MELD17 (14–22)15.5 (11–20)0.30
Number of comorbidities1 (0–2)1 (1–2)0.23
Symptoms, n (%)
 Fever>37.2°C32 (62.7)42 (67.7)0.58
 Cough25 (49)39 (62.9)0.14
 Dyspnoea16 (31.4)14 (22.6)0.30
 Fatigue5 (9.8)14 (22.6)0.071
 Confusion6 (11.8)8 (12.9)0.86
 Diarrhoea7 (13.7)6 (9.7)0.50
Ground-glass opacities, n (%)34 (66.7)27 (44.3)0.018
Respiratory support29 (56.9)27 (43.6)0.16
Acute decompensations, n (%)
 No33 (64.7)42 (67.7)0.56
 Yes15 (29.4)19 (30.7)
 Yes, unrelated to COVID-193 (5.9)1 (1.6)
ACLF, n (%)
 No40 (78.4)53 (85.5)0.57
 Yes9 (17.7)8 (12.9)
 Yes, unrelated to COVID-192 (3.9)1 (1.6)
COVID-19 therapy, n (%)
 High-dose steroid2 (3.9)5 (8.1)0.45
 Low-molecular weight heparin8 (15.7)21 (33.9)0.028
60-day mortality probability, % (95% CI): overall35.3 (23.9 to 50.0)25.9 (16.2 to 39.9)0.23
60-day mortality probability, % (95% CI): in hospitalised patients43.9 (30.0 to 60.3)41.2 (26.5 to 61.0)0.72
Cause of death, (%)
 Respiratory failure8 (36.4)2 (13.3)0.31
 Liver failure+respiratory failure10 (45.5)10 (66.7)
 Liver failure without respiratory failure3 (13.6)1 (6.7)
 Other causes+respiratory failure1 (4.6)2 (13.3)

ACLF, acute-on-chronic liver failure; MELD, Model for End-stage Liver Disease.

Comparison between first and second SARS-CoV-2 waves ACLF, acute-on-chronic liver failure; MELD, Model for End-stage Liver Disease.

Outcome of LT in patients with prior COVID-19

Twenty-six patients underwent an LT after a median interval of 78.5 (IQR 44–102) days from diagnosis (table 2). Before being reactivated on the WL, all patients had to be asymptomatic and with a minimum of one negative RT-PCR rhinopharyngeal swab. An additional negative swab at the time of LT was required by all centres. Overall, the median ICU and hospital stay were 3 (IQR 3–6) and 11 (IQR 8–19) days, respectively. Immunosuppression included a calcineurin inhibitor drug in all patients (24 tacrolimus and 2 cyclosporine), with mycophenolate–mofetil being used in 21 cases. Survival rate was 96% at a median follow-up of 118 days (IQR 31–170), with a single patient dying from posterior reversible encephalopathy syndrome 82 days after LT.

Discussion

This study reports on the first large cohort of patients who developed COVID-19 while listed for LT, and several novel findings regarding pretransplant and post-transplant outcomes were obtained, which are summarised as follows: LT candidates with symptomatic SARS-CoV-2 infection were at high risk of early death, particularly those with DC and Lab-MELD score of ≥15. The mortality risk was dramatically increased in patients with a Lab-MELD score of ≥15 and with dyspnoea on presentation. COVID-19 was confirmed to be a potential trigger of AD and ACLF. Respiratory failure frequently resulted in candidates being ineligible for LT and was the most frequent cause of death. During the two waves of the pandemic, clinical presentation, course and mortality risk from COVID-19 did not significantly change. Finally, short-term survival after LT was 96%, and no cases of SARS-CoV-2 reinfection were observed to date. In our analysis, liver transplant candidates with COVID-19 showed a 30-day mortality probability which was similar to that observed in a control group of cirrhotic patients hospitalised for AD due to bacterial infection. The overall mortality rate was 32.7% (37/113) and reached 49.2% (31/63) in patients with DC and a Lab-MELD score of >15, which is triple the mortality risk observed in listed patients with comparable Lab-MELD scores without COVID-19.10 This indicates that liver transplant candidates with DC should rigorously adopt all the usual measures to prevent SARS-CoV-2 infection and evidences the need for rapid implementation of reinforced vaccination programmes since the efficacy of standard vaccines will be likely lower than that reported in the registration studies. This is particularly relevant since the prevalence of COVID-19 in LT candidates was 6.05%, which is double that observed in the general population of similar age,11 possibly due to higher susceptibility to SARS-CoV-2. Despite the baseline Lab-MELD score being strongly associated with mortality, COVID-19-related respiratory failure remained the predominant cause of death at 89.2% (33/37), remaining at 10.2% (4/37) due to liver-related complications, these results concurring with previous studies from Europe and the USA.12–17 Following multivariable analysis, two factors, namely, dyspnoea on presentation and baseline Lab-MELD score emerged as independent predictors of mortality. Interestingly, patients listed for HCC had a much better outcome than those with DC, most likely because of associated lower Lab-MELD score at listing. The combination of Lab-MELD score of ≥15 and dyspnoea was associated with a negative prognosis, 60-day mortality risk of 68.8% (50.1–85.2), while any other possible combination of these two simple baseline factors allowed an early stratification of the mortality risk, and this may help clinicians in their decision-making. Despite what was observed in other patient cohorts, neither age nor comorbidities influenced the mortality risk, probably due to advanced age and increased comorbidities being exclusion criteria for WL. COVID-19 led to a marked deterioration in liver function with high rates of AD (33.6%) and ACLF (17.6%) being observed. The occurrence of AD and ACLF in patients with COVID-19 was associated with a mortality risk of 59% and 90%, respectively, which compares unfavourably with the 44% and 65% observed by Marjot et al.16 This finding is probably due to the different prevalence of patients with advanced liver impairment between the two cohorts (Child-Pugh B/C 76% vs 48%). We also compared our cases of ACLF occurring after COVID-19 with those observed in an appropriately balanced cohort of 91 cirrhotic patients who were admitted for AD triggered by bacterial infections. Notably, the mortality after developing ACLF was significantly higher for patients having ACLF triggered by COVID-19 (85% vs 53%), which is explained by the frequent occurrence of refractory respiratory failure in patients with COVID-19 and ACLF (18/20 vs 0/28). A preliminary comparison between the two waves of the pandemic was possible. The 60-day mortality risk was 35.3% (95% CI 23.9% to 50.0%) during the first wave and did not significantly decline during the second wave (26%, 95% CI 16.2% to 40.2%), with respiratory failure remaining the major cause of death. This suggests that the impact of newly established therapies to control COVID-1918 19 is limited in patients with advanced liver disease. Patients with prior COVID-19 had favourable outcomes, with early survival of 96% (25/26) after receiving a liver transplant. Median ICU and total hospital stay were 3 (IQR 3–6) and 11 (IQR 8–19) days, which concur with what is observed in more recent series.20 To date, zero case of SARS-CoV-2 recurrence was observed after LT. Mortality in the great majority of patients in this cohort was due to respiratory failure (33/37, 89.2%), with respiratory failure being a clear contraindication for proceeding with an LT. Thus, apprehension related to wait-listed patients not receiving a graft for organ unavailability due to a decline in organ donation, and competition for ICU beds seems unfounded. Although, it cannot be excluded that a minority of urgent patients, SARS-CoV-2 negative, may have died on the WL due to a decline in organ offers, being indirect victims of the COVID-19 pandemic. Two main limitations are to be acknowledged for this study. First, focusing on symptomatic cases with confirmed positive SARS-CoV-2 PCR test despite test sensitivity below 80%, we found that some cases may have inadvertently been excluded. Second, the impact of the COVID-19 pandemic on access to LT could not be measured. In conclusion, liver transplant candidates with a MELD score of >15 and presenting with COVID-19-associated dyspnoea are at high risk of respiratory failure and early death. Once patients recover from COVID-19, LT is a safe option with no evidence of SARS-CoV-2 recurrence. 1. Hepatology and Gastroenterology Unit, ASST GOM Niguarda, Milan, Italy: Luca S Belli, Giovanni Perricone, Raffaella Viganò and Chiara Mazzarelli, General Surgery and Abdominal Transplantation Unit, ASST GOM Niguarda, and School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy: Luciano G De Carlis, Andrea Lauterio and Alessandro Giacomoni. Department of Infectious Diseases Unit, ASST GOM Niguarda, Milan, Italy. Marco Merli, Giovanni Travi and Massimo Puoti. 2. Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Division of Gastroenterology and Hepatology, Milan, Italy: Federica Invernizzi, Francesca Donato nd Pietro Lampertico. 3. Papa Giovanni XXIII Hospital, Bergamo Italy. Department of Gastroenterology, Hepatology and Transplantation: Luisa Pasulo and Stefano Fagiuoli. Department of Surgery: Marco Zambelli, Michela Guizzetti and Michele Colledan. 4. Internal Medicine Unit of Treatment of Severe Organ Failure, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico di Sant'Orsola. Maria Cristina Morelli and Giovanni Vitale. 5. Gastro-hepatology Unit: Silvia Martini and Antonio Ottobrelli. Liver Transplantation Center: Damiano Patrono and Renato Romagnoli. Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy. 6. Department of Surgery, University of Modena E Reggio Emilia, Policlinico Di Modena, Modena, Italy: Fabrizio Di Benedetto. 7. Ospedale Cisanello, UO Trapiantologia Epatica Universitaria Azienda Ospedaliera, Pisa, Italy: Paolo De Simone, Paola Carrai and Petruccelli Stefania. 8. Unit of Internal Medicine and Hepatology, Department of Medicine, University of Padova Paolo Angeli, Salvatore Piano, Simone Incicco and Nicola Zen. 9. Hepato-bilio-pancreatic Surgery and Transplantation Department, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg: Francoise Faitot and Baptiste Michard. 10. Centre Hepato-Biliaire, AP-HP Hôpital Paul Brousse Hospital, Paris-Sud Saclay University, Villejuif, France: Ilias Kounis, Audrey Coilly, Saliba Faouzi, Rene Adam, Vincent Karam and Didier Samuel. 11. Hôpital Henri Mondor, Service d’Hepatologie, Créteil, France: Christophe Duvoux and Norbert Ngongang. 12. Department of Hepatogastroenterology, Hepatology and Liver Transplantation Unit: Sylvie Radenne, Domitille Poinsot and Celine Guichon; Department of Digestive Surgery and Liver Transplantation: Mickael Lesurtel; Croix-Rousse University Hospital, Hospices Civils de Lyon, University of Lyon I, Lyon, France. 13. Hepatogastroenterology Unit, Hôpital Trousseau, CHRU de Tours, Tours, France: Laure Elkrief. 14. Hôpital Du Kremlin Bicêtre, Sce De Chirurgie Pédiatrique, Le Kremlin Bicêtre, France: Emmanuel Gonzales. 15. The Liver Unit, Queen Elizabeth Hospital Birmingham, Birmingham, UK: Darius Mirza, Thamara Perera and Angus Hann. 16. University of Edinburgh Royal Infirmary, Liver Transplantation Unit, Edinburgh, UK. Gabriel Oniscu and Chris Johnston. 17. Department of HPB and Transplant Surgery, Freeman Hospital, Newcastle upon Tyne, Tyne and Wear, UK: Derek Manaz. 18. Hospital Clinic de Barcelona, General and Digestive Surgery Department, IDIBAPS, CIBERehd, Barcelona, Spain: Costantino Fondevila, Jordi Colmeneroas and David Toapanta. 19. Hospital Universitari Vall D'Hebron, Liver Unit and HBP Surgery and Transplants Department, Barcelona, Spain: Lluis Castells and Ernest Hidalgo. 20. Hospital Gregorio Maranon, Liver Transplant Unit, Madrid, Spain: Magdalena Salcedo Plaza and Fernando Diaz-Fontenla. 21. Liver Transplant Unit, Hospital Virgen del Rocio, Seville, Spain: Jose Maria Alamo. 22. Hospital Universitario Virgen De La Nieves, Servicio de Cirurgia General, Granada, Spain. Esther Brea Gomes. 23. Cirurgia HPB y Transplante Hepatico, Hospital Universitario de Badajoz, Spain: Gerardo Blancoa and Alberto Marcacuzco. 24. Hospital General Universitario De Alicante, Unidad Transplantes Hepatico, Alicante, Spain: Gonzalo Rodriguez and Sonia Pascual. 25. Hospital Universitario 12 de Octubre, HBP And Transplant Unit, General Surgery, Madrid, Spain: Carmelo Loinaz. 26. Division of Transplantation, Department of General Surgery, Medical University of Vienna, Austria: Gabriela Berlakovich, Dagmar Kollmann and Georg Györi. 27. Universitaire Ziekenhuizen Leuven, Abdominal Transplant Surgery, Leuven, Belgium: Jacques Pirenne and Natalie Vandende. 28. Hopital Erasme Universite Libre De Bruxelles, Department of Abdominal Surgery, Brussels, Belgium: Valerio Lucidi. 29. Erasmus MC, Transplant Institute, University Medical Center Rotterdam, Department of Surgery, Division of Hepatobiliary Surgery and Liver Transplantation, Rotterdam, The Netherlands. Wojciech G. Polak; Department of Gastroenterology and Hepatology: Caroline den Hoed. 30. Department of Abdominal Surgery and Transplantation, CHU Liege, University of Liege, Belgium: Olivier Detry. 31. Department of Surgery: Christian Toso; Divisions of Transplantation and of Gastroenterology and Hepatology: Giulia Magini and Nicolas Goossens; Geneva University Hospitals, Geneva, Switzerland. 32. Huddinge Hospital, Department of Transplantation Surgery, Huddinge, Sweden: Bo Goran Ericzon and Carl Jorns. 33. Digestive Diseases and Liver Transplantation Center from Fundeni Clinical Institute, Bucharest, Romania: Liana Gheorghe, Speranta Iacob and Irinel Popescu. 34. Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland: Joanna Raszeja-Wyszomirska and Krzysztof Zieniewicz.
  13 in total

1.  Low risk of nosocomial severe acute respiratory syndrome-coronavirus-2 infection in patients with liver disease admitted to a hepatology unit at an academic hospital: A single-center experience.

Authors:  Pierluigi Toniutto; Federica D'Aurizio; Sara Cmet; Annarosa Cussigh; Edmondo Falleti; Carlo Fabris; Emma Sartor; Ezio Fornasiere; Elisa Fumolo; Davide Bitetto; Francesco Curcio
Journal:  Indian J Gastroenterol       Date:  2022-06-30

2.  The Effect of the COVID-19 Pandemic in Intestinal Rehabilitation and Transplant Patients: Initial Results of the Intestinal Rehabilitation and Transplant Association's International Survey.

Authors:  Maria Segovia; Maria Florencia Fernandez; Carolina Rumbo; Chiara Zanfi; Gustaf Herlenius; Adam Testro; Lisa Sharkey; Felix Braun; Syed-Mohammed Jafri; Hector Vilca Melendez; Rodrigo Sanchez Claria; Laurens J Ceulemans; Taizo Hibi; Hector Solar; Diego Ramisch; Gillian Noel; Jason Yap; Gerard Dijkstra; Thomas Schiano; Peter Friend; Florence Lacaille; Debra Sudan; George Mazariegos; Simon Horslen; Gabriel E Gondolesi
Journal:  Transplantation       Date:  2022-06-17       Impact factor: 5.385

3.  Impact of COVID - 19 in patients awaiting liver transplantation.

Authors:  Ilias Kounis; Lea Duhaut; Thomas Breard; Didier Samuel; Audrey Coilly
Journal:  Liver Int       Date:  2021-11-29       Impact factor: 8.754

4.  Global impact of the first wave of COVID-19 on liver transplant centers: A multi-society survey (EASL-ESOT/ELITA-ILTS).

Authors:  Francesco Paolo Russo; Manhal Izzy; Ashwin Rammohan; Varvara A Kirchner; Tommaso Di Maira; Luca Saverio Belli; Thomas Berg; Marina Carmen Berenguer; Wojciech Grzegorz Polak
Journal:  J Hepatol       Date:  2021-10-13       Impact factor: 25.083

5.  Past COVID-19 and immunosuppressive regimens affect the long-term response to anti-SARS-CoV-2 vaccination in liver transplant recipients.

Authors:  Pierluigi Toniutto; Edmondo Falleti; Sara Cmet; Annarosa Cussigh; Laura Veneto; Davide Bitetto; Ezio Fornasiere; Elisa Fumolo; Carlo Fabris; Assunta Sartor; Roberto Peressutti; Francesco Curcio; Laura Regattin; Lucrezia Grillone
Journal:  J Hepatol       Date:  2022-03-10       Impact factor: 30.083

6.  COVID-19 mortality in cirrhosis is determined by cirrhosis-associated comorbidities and extrahepatic organ failure: Results from the multinational LEOSS registry.

Authors:  Jonathan F Brozat; Frank Hanses; Martina Haelberger; Melanie Stecher; Michael Dreher; Lukas Tometten; Maria M Ruethrich; Janne J Vehreschild; Christian Trautwein; Stefan Borgmann; Maria J G T Vehreschild; Carolin E M Jakob; Andreas Stallmach; Kai Wille; Kerstin Hellwig; Nora Isberner; Philipp A Reuken; Fabian Geisler; Jacob Nattermann; Tony Bruns
Journal:  United European Gastroenterol J       Date:  2022-04-28       Impact factor: 6.866

7.  Outcomes of liver transplantation in recipients with previous coronavirus disease 2019 infection.

Authors:  Akila Rajakumar; Susan Paulin; Premchandar Velusamy; Vidya Devarajan; Dinesh Jothimani; Rajesh Rajalingam; Ashwin Rammohan; Mohamed Rela
Journal:  Liver Transpl       Date:  2022-04-28       Impact factor: 6.112

8.  Survey of current transplant center practices regarding COVID-19 vaccine mandates in the United States.

Authors:  Benjamin E Hippen; David A Axelrod; Kennan Maher; Ruixin Li; Deepali Kumar; Yasar Caliskan; Tarek Alhamad; Mark Schnitzler; Krista L Lentine
Journal:  Am J Transplant       Date:  2022-03-01       Impact factor: 9.369

Review 9.  COVID-19-associated liver injury: Clinical characteristics, pathophysiological mechanisms and treatment management.

Authors:  Penghui Li; Ying Liu; Ziqi Cheng; Xiaorui Yu; Yinxiong Li
Journal:  Biomed Pharmacother       Date:  2022-08-17       Impact factor: 7.419

10.  Patients with Liver Cirrhosis Show High Immunogenicity upon COVID-19 Vaccination but Develop Premature Deterioration of Antibody Titers.

Authors:  Katharina Willuweit; Alexandra Frey; Moritz Passenberg; Johannes Korth; Nissrin Saka; Olympia E Anastasiou; Birte Möhlendick; Andreas Schütte; Hartmut Schmidt; Jassin Rashidi-Alavijeh
Journal:  Vaccines (Basel)       Date:  2022-02-28
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