COVID-19 in liver transplant candidates: pretransplant and post-transplant outcomes - an ELITA/ELTR multicentre cohort study Article Swipe
L Belli
,
Christophe Duvoux
,
Paolo Angelo Cortesi
,
Rita Facchetti
,
Speranţa Iacob
,
Giovanni Perricone
,
Sylvie Radenne
,
Sara Conti
,
Damiano Patrono
,
Gabriela Berlakovich
,
Angus Hann
,
L. Pasulo
,
Lluı́s Castells
,
François Faitot
,
Olivier Detry
,
Federica Invernizzi
,
Giulia Magini
,
Paolo De Simone
,
Ilias Kounis
,
Maria Cristina Morelli
,
Fernando Díaz‐Fontenla
,
Bo‐Göran Ericzon
,
Carmelo Loinaz
,
Chris Johnston
,
Liliana Gheorghe
,
Mickaël Lesurtel
,
Renato Romagnoli
,
Dagmar Kollmann
,
M. Thamara P. R. Perera
,
Stefano Fagiuoli
,
Darius F. Mirza
,
Audrey Coilly
,
Christian Toso
,
Krzysztof Zieniewicz
,
Laure Elkrief
,
Vincent Karam
,
René Adam
,
Caroline den Hoed
,
Marco Merli
,
Massimo Puoti
,
Luciano De Carlis
,
Gabriel C. Oniscu
,
Salvatore Piano
,
Paolo Angeli
,
Constantino Fondevila
,
Wojciech G. Polak
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/gutjnl-2021-324879
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/gutjnl-2021-324879
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%).
Related Topics
Concepts
Medicine
Internal medicine
Liver transplantation
Cohort
Liver disease
Proportional hazards model
Model for End-Stage Liver Disease
Coronavirus disease 2019 (COVID-19)
Cohort study
Gastroenterology
Stage (stratigraphy)
Transplantation
Surgery
Disease
Infectious disease (medical specialty)
Biology
Paleontology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/gutjnl-2021-324879
- https://gut.bmj.com/content/gutjnl/70/10/1914.full.pdf
- OA Status
- bronze
- Cited By
- 39
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3183376362
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3183376362Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/gutjnl-2021-324879Digital Object Identifier
- Title
-
COVID-19 in liver transplant candidates: pretransplant and post-transplant outcomes - an ELITA/ELTR multicentre cohort studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-19Full publication date if available
- Authors
-
L Belli, Christophe Duvoux, Paolo Angelo Cortesi, Rita Facchetti, Speranţa Iacob, Giovanni Perricone, Sylvie Radenne, Sara Conti, Damiano Patrono, Gabriela Berlakovich, Angus Hann, L. Pasulo, Lluı́s Castells, François Faitot, Olivier Detry, Federica Invernizzi, Giulia Magini, Paolo De Simone, Ilias Kounis, Maria Cristina Morelli, Fernando Díaz‐Fontenla, Bo‐Göran Ericzon, Carmelo Loinaz, Chris Johnston, Liliana Gheorghe, Mickaël Lesurtel, Renato Romagnoli, Dagmar Kollmann, M. Thamara P. R. Perera, Stefano Fagiuoli, Darius F. Mirza, Audrey Coilly, Christian Toso, Krzysztof Zieniewicz, Laure Elkrief, Vincent Karam, René Adam, Caroline den Hoed, Marco Merli, Massimo Puoti, Luciano De Carlis, Gabriel C. Oniscu, Salvatore Piano, Paolo Angeli, Constantino Fondevila, Wojciech G. PolakList of authors in order
- Landing page
-
https://doi.org/10.1136/gutjnl-2021-324879Publisher landing page
- PDF URL
-
https://gut.bmj.com/content/gutjnl/70/10/1914.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://gut.bmj.com/content/gutjnl/70/10/1914.full.pdfDirect OA link when available
- Concepts
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Medicine, Internal medicine, Liver transplantation, Cohort, Liver disease, Proportional hazards model, Model for End-Stage Liver Disease, Coronavirus disease 2019 (COVID-19), Cohort study, Gastroenterology, Stage (stratigraphy), Transplantation, Surgery, Disease, Infectious disease (medical specialty), Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
39Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 3, 2023: 12, 2022: 18, 2021: 4Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.18 | 78 |
| abstract_inverted_index.20 | 46 |
| abstract_inverted_index.21 | 43 |
| abstract_inverted_index.25 | 188 |
| abstract_inverted_index.33 | 57 |
| abstract_inverted_index.CI | 102, 110, 141, 150, 161 |
| abstract_inverted_index.DC | 251 |
| abstract_inverted_index.HR | 138, 147 |
| abstract_inverted_index.LT | 26, 177, 205 |
| abstract_inverted_index.an | 176 |
| abstract_inverted_index.in | 34, 59, 204, 212, 266 |
| abstract_inverted_index.no | 226 |
| abstract_inverted_index.of | 4, 77, 128, 182, 196, 221, 234, 243, 248, 255, 263 |
| abstract_inverted_index.on | 6, 8, 17, 156 |
| abstract_inverted_index.to | 45, 104, 112, 143, 152, 163 |
| abstract_inverted_index.(HR | 158 |
| abstract_inverted_index.113 | 66 |
| abstract_inverted_index.118 | 197 |
| abstract_inverted_index.136 | 49 |
| abstract_inverted_index.45% | 211 |
| abstract_inverted_index.95% | 101, 109, 140, 149, 160 |
| abstract_inverted_index.Cox | 116 |
| abstract_inverted_index.The | 90, 245 |
| abstract_inverted_index.and | 16, 38, 106, 154, 187, 218, 231, 259 |
| abstract_inverted_index.did | 94, 273 |
| abstract_inverted_index.for | 12, 122, 131, 171 |
| abstract_inverted_index.not | 95, 274 |
| abstract_inverted_index.the | 2, 9, 85, 166, 235, 240, 253, 260 |
| abstract_inverted_index.two | 167 |
| abstract_inverted_index.was | 223, 239 |
| abstract_inverted_index.(DC) | 217 |
| abstract_inverted_index.(IQR | 184, 199 |
| abstract_inverted_index.(LT) | 15 |
| abstract_inverted_index.1.77 | 151 |
| abstract_inverted_index.1.81 | 142 |
| abstract_inverted_index.2.02 | 162 |
| abstract_inverted_index.78.5 | 183 |
| abstract_inverted_index.Data | 22 |
| abstract_inverted_index.From | 42 |
| abstract_inverted_index.MELD | 145 |
| abstract_inverted_index.days | 198 |
| abstract_inverted_index.died | 73 |
| abstract_inverted_index.from | 23, 56 |
| abstract_inverted_index.list | 11 |
| abstract_inverted_index.risk | 93 |
| abstract_inverted_index.this | 267 |
| abstract_inverted_index.time | 181 |
| abstract_inverted_index.were | 30, 39, 63, 190 |
| abstract_inverted_index.with | 28, 52, 65, 81, 207, 214, 225, 250 |
| abstract_inverted_index.(96%) | 189 |
| abstract_inverted_index.16.2% | 111 |
| abstract_inverted_index.2020, | 48 |
| abstract_inverted_index.23.9% | 103 |
| abstract_inverted_index.3.89, | 159 |
| abstract_inverted_index.5.24, | 148 |
| abstract_inverted_index.5.46, | 139 |
| abstract_inverted_index.7.51) | 164 |
| abstract_inverted_index.Liver | 124, 133 |
| abstract_inverted_index.Model | 121 |
| abstract_inverted_index.Prior | 269 |
| abstract_inverted_index.adult | 25, 50 |
| abstract_inverted_index.after | 74, 178, 192 |
| abstract_inverted_index.alive | 191 |
| abstract_inverted_index.being | 84, 165 |
| abstract_inverted_index.cases | 51 |
| abstract_inverted_index.cause | 87, 242 |
| abstract_inverted_index.days, | 80, 186 |
| abstract_inverted_index.early | 276 |
| abstract_inverted_index.first | 99, 230 |
| abstract_inverted_index.liver | 13 |
| abstract_inverted_index.major | 86, 241 |
| abstract_inverted_index.score | 127, 136, 220 |
| abstract_inverted_index.their | 18 |
| abstract_inverted_index.those | 213 |
| abstract_inverted_index.waves | 233 |
| abstract_inverted_index.≥15 | 129 |
| abstract_inverted_index.(96%). | 279 |
| abstract_inverted_index.(MELD) | 135 |
| abstract_inverted_index.(Model | 130 |
| abstract_inverted_index.15.55) | 153 |
| abstract_inverted_index.16.50; | 144 |
| abstract_inverted_index.32.7%) | 71 |
| abstract_inverted_index.40.2%) | 113 |
| abstract_inverted_index.50.0%) | 105 |
| abstract_inverted_index.60-day | 91 |
| abstract_inverted_index.Design | 21 |
| abstract_inverted_index.Europe | 33 |
| abstract_inverted_index.across | 32 |
| abstract_inverted_index.affect | 275 |
| abstract_inverted_index.change | 97 |
| abstract_inverted_index.death. | 244 |
| abstract_inverted_index.dismal | 246 |
| abstract_inverted_index.having | 67 |
| abstract_inverted_index.impact | 3 |
| abstract_inverted_index.median | 76, 180, 194 |
| abstract_inverted_index.second | 107, 232 |
| abstract_inverted_index.showed | 119 |
| abstract_inverted_index.strict | 256 |
| abstract_inverted_index.urgent | 261 |
| abstract_inverted_index.waves. | 114 |
| abstract_inverted_index.≥15, | 222 |
| abstract_inverted_index.(26.0%, | 108 |
| abstract_inverted_index.(33/37, | 88 |
| abstract_inverted_index.(35.3%, | 100 |
| abstract_inverted_index.89.2%). | 89 |
| abstract_inverted_index.Disease | 125, 134 |
| abstract_inverted_index.Explore | 1 |
| abstract_inverted_index.Results | 41 |
| abstract_inverted_index.between | 98, 229 |
| abstract_inverted_index.centres | 58 |
| abstract_inverted_index.course. | 20 |
| abstract_inverted_index.factors | 170 |
| abstract_inverted_index.failure | 83, 238 |
| abstract_inverted_index.post-LT | 19 |
| abstract_inverted_index.testing | 262 |
| abstract_inverted_index.waiting | 10 |
| abstract_inverted_index.(32.7%), | 209 |
| abstract_inverted_index.(37/113, | 70 |
| abstract_inverted_index.15–19, | 137 |
| abstract_inverted_index.COVID-19 | 5, 29, 208 |
| abstract_inverted_index.European | 61 |
| abstract_inverted_index.February | 44 |
| abstract_inverted_index.Lab-MELD | 219 |
| abstract_inverted_index.November | 47 |
| abstract_inverted_index.adoption | 254 |
| abstract_inverted_index.analysis | 118 |
| abstract_inverted_index.dyspnoea | 155 |
| abstract_inverted_index.efficacy | 265 |
| abstract_inverted_index.measures | 258 |
| abstract_inverted_index.negative | 168 |
| abstract_inverted_index.patients | 7, 72, 174, 249 |
| abstract_inverted_index.reaching | 210 |
| abstract_inverted_index.registry | 37 |
| abstract_inverted_index.supports | 252 |
| abstract_inverted_index.survival | 278 |
| abstract_inverted_index.(10–30) | 79 |
| abstract_inverted_index.44–102) | 185 |
| abstract_inverted_index.COVID-19. | 68 |
| abstract_inverted_index.End-stage | 123, 132 |
| abstract_inverted_index.Increased | 202 |
| abstract_inverted_index.Objective | 0 |
| abstract_inverted_index.analysed. | 40 |
| abstract_inverted_index.cirrhosis | 216 |
| abstract_inverted_index.collected | 31 |
| abstract_inverted_index.countries | 62 |
| abstract_inverted_index.dedicated | 36 |
| abstract_inverted_index.follow-up | 195 |
| abstract_inverted_index.infection | 55, 272 |
| abstract_inverted_index.mortality | 92, 203 |
| abstract_inverted_index.observed, | 224 |
| abstract_inverted_index.pandemic. | 236 |
| abstract_inverted_index.prognosis | 247 |
| abstract_inverted_index.underwent | 175 |
| abstract_inverted_index.(Lab-MELD) | 126 |
| abstract_inverted_index.31–170). | 200 |
| abstract_inverted_index.Laboratory | 120 |
| abstract_inverted_index.SARS-CoV-2 | 54, 270 |
| abstract_inverted_index.Twenty-six | 173 |
| abstract_inverted_index.candidates | 27, 206 |
| abstract_inverted_index.collected, | 64 |
| abstract_inverted_index.difference | 228 |
| abstract_inverted_index.mortality. | 172 |
| abstract_inverted_index.regression | 117 |
| abstract_inverted_index.Conclusions | 201 |
| abstract_inverted_index.Respiratory | 237 |
| abstract_inverted_index.consecutive | 24 |
| abstract_inverted_index.independent | 169 |
| abstract_inverted_index.population. | 268 |
| abstract_inverted_index.respiratory | 82 |
| abstract_inverted_index.score≥20, | 146 |
| abstract_inverted_index.significant | 227 |
| abstract_inverted_index.symptomatic | 271 |
| abstract_inverted_index.vaccination | 264 |
| abstract_inverted_index.Thirty-seven | 69 |
| abstract_inverted_index.presentation | 157 |
| abstract_inverted_index.preventative | 257 |
| abstract_inverted_index.Multivariable | 115 |
| abstract_inverted_index.decompensated | 215 |
| abstract_inverted_index.significantly | 96 |
| abstract_inverted_index.post-transplant | 277 |
| abstract_inverted_index.transplantation | 14 |
| abstract_inverted_index.laboratory-confirmed | 53 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5091774422 |
| countries_distinct_count | 11 |
| institutions_distinct_count | 46 |
| corresponding_institution_ids | https://openalex.org/I4210094195 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.96346423 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |