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Background. Patients on kidney replacement therapy comprise a vulnerable population and may be at increased risk of death from coronavirus disease 2019 (COVID-19). Currently, only limited data are available on outcomes in this patient population. Methods. We set up the ERACODA (European Renal Association COVID-19 Database) database, which is specifically designed to prospectively collect detailed data on kidney transplant and dialysis patients with COVID-19. For this analysis, patients were included who presented between 1 February and 1 May 2020 and had complete information available on the primary outcome parameter, 28-day mortality. Results. Of the 1073 patients enrolled, 305 (28%) were kidney transplant and 768 (72%) dialysis patients with a mean age of 60 6 13 and 67 6 14 years, respectively. The 28-day probability of death was 21.3% [95% confidence interval (95% CI) 14.3–30.2%] in kidney transplant and 25.0% (95% CI 20.2–30.0%) in dialysis patients. Mortality was primarily associated with advanced age in kidney transplant patients, and with age and frailty in dialysis patients. After adjusting for sex, age and frailty, in-hospital mortality did not significantly differ between transplant and dialysis patients [hazard ratio (HR) 0.81, 95% CI 0.59–1.10, P ¼ 0.18]. In the subset of dialysis patients who were a candidate for transplantation (n ¼ 148), 8 patients died within 28 days, as compared with 7 deaths in 23 patients who underwent a kidney transplantation <1 year before presentation (HR adjusted for sex, age and frailty 0.20, 95% CI 0.07–0.56, P < 0.01). Conclusions. The 28-day case-fatality rate is high in patients on kidney replacement therapy with COVID-19 and is primarily driven by the risk factors age and frailty. Furthermore, in the first year after kidney transplantation, patients may be at increased risk of COVID-19-related mortality as compared with dialysis patients on the waiting list for transplantation. This information is important in guiding clinical decision-making, and for informing the public and healthcare authorities on the COVID-19-related mortality risk in kidney transplant and dialysis patients.
COVID-19-related mortality in kidney transplant and dialysis patients: Results of the ERACODA collaboration
Hilbrands L. B.;Duivenvoorden R.;Vart P.;Franssen C. F. M.;Hemmelder M. H.;Jager K. J.;Kieneker L. M.;Noordzij M.;Pena M. J.;de Vries H.;Arroyo D.;Covic A.;Crespo M.;Goffin E.;Islam M.;Massy Z. A.;Montero N.;Oliveira J. P.;Munoz A. R.;Sanchez J. E.;Sridharan S.;Winzeler R.;Gansevoort R. T.;Jeroen B. van der Net;Marie Essig;Peggy W G du Buf-Vereijken;Betty van Ginneken;Nanda Maas;Liffert Vogt;Birgit C. van Jaarsveld;Frederike J. Bemelman;Farah Klingenberg-Salahova;Frederiek Heenan-Vos;Marc G. Vervloet;Azam Nurmohamed;Daniel Abramowicz;Sabine Verhofstede;Omar Maoujoud;Jana Fialova;Edoardo Melilli;Alex Favà;Josep M. Cruzado;Joy Lips;Maaike Hengst;Ryszard Gellert;Andrzej Rydzewski;Daniela G. Alferes;Ivan Rychlik;Elena V. Zakharova;Patrice Max Ambuehl;Fanny Lepeytre;Clémentine Rabaté;Guy Rostoker;Sofia Marques;Tijana Azasevac;Dajana Katicic;Marc ten Dam;Thilo Krüger;Susan J J Logtenberg;Lutz Fricke;A L van Zanen;Jeroen J P Slebe;Delphine Kemlin;Jacqueline van de Wetering;Jaromir Eiselt;Lukas Kielberger;Hala S. El-Wakil;Samar Abd ElHafeez;Christina Canal;Carme Facundo;Ana M. Ramos;Alicja Debska-Slizien;Nicoline M H Veldhuizen;Stylianos Panagoutsos;Irina Matceac;Ionut Nistor;Monica Cordos;J H M Groeneveld;Marjolijn van Buren;Fritz Diekmann;Ana C. Ferreira;Augusto Cesar S. Santos Jr.;Carlos Arias-Cabrales;Laura Llinàs-Mallol;Anna Buxeda;Carla Burballa Tàrrega;Dolores Redondo-Pachon;Maria Dolores Arenas Jimenez;Julia M. Hofstra;Antonio Franco;María L. Rodríguez-Ferrero;Sagrario Balda Manzanos;Gabriel de Arriba;R. Haridian Sosa Barrios;Karlijn Bartelet;Erol Demir;Daan A M J Hollander;Angele Kerckhoffs;Stefan Büttner;Aiko P J de Vries;Soufian Meziyerh;Danny van der Helm;Marlies Reinders;Hanneke Bouwsma;Kristina Petruliene;Sharon Maloney;Iris Verberk;Marina Di Luca;Serhan Z. Tuğlular;Charles Beerenhout;Peter T. Luik;Julia Kerschbaum;Martin Tiefenthaler;Bruno Watschinger;Aaltje Y. Adema;Vadim A. Stepanov;Alexey B. Zulkarnaev;Kultigin Turkmen;Bonucchi Decenzio;Anselm Fliedner;Hitoshi Miyasato;Anders Åsberg;Geir Mjoen;Stefano Pini;Consuelo de Biase;Anne Els van de Logt;Rutger Maas;Olga Lebedeva;Veronica Lopez;Louis J M Reichert;Jacobien Verhave;Denis Titov;Ekaterina V. Parshina;Liesbeth E A van Gils-Verrij;Charlotte J R de Bruin;John C. Harty;Marleen Meurs;Marek Myslak;Yuri Battaglia;Paolo Lentini;Edwin den Deurwaarder;Hormat Rahimzadeh;Marcel Schouten;Carlos J. Cabezas-Reina;Anabel Diaz-Mareque;Armando Coca;Björn K I Meijers;Maarten Naesens;Dirk Kuypers;Bruno Desschans;Annelies Tonnerlier;Karl M. Wissing;Ivana Dedinska;Giuseppina Pessolano;Frank M. van der Sande;Maarten H L Christiaans;Ilaria Gandolfini;Umberto Maggiore;Nada Kanaan;Laura Labriola;Arnaud Devresse;Shafi Malik;Stefan P. Berger;Esther Meijer;Jan Stephan F. Sanders;Jadranka Buturović Ponikvar;Alferso C. Abrahams;Femke M. Molenaar;Arjan D. van Zuilen;S C A Meijvis;Helma Dolmans;Luca Zanoli;Carmelita Marcantoni;Pasquale Esposito;Jean-Marie Krzesinski;Jean Damacène Barahira;Maurizio Gallieni;Gianmarco Sabiu;Paloma Leticia Martin-Moreno;Gabriele Guglielmetti;Gabriella Guzzo;Antinus J. Luik;Willi H M van Kuijk;Lonneke W H Stikkelbroeck;Marc M. H. Hermans;Laurynas Rimsevicius;Marco Righetti;Nicole Heitink-ter Braak
2020-01-01
Abstract
Background. Patients on kidney replacement therapy comprise a vulnerable population and may be at increased risk of death from coronavirus disease 2019 (COVID-19). Currently, only limited data are available on outcomes in this patient population. Methods. We set up the ERACODA (European Renal Association COVID-19 Database) database, which is specifically designed to prospectively collect detailed data on kidney transplant and dialysis patients with COVID-19. For this analysis, patients were included who presented between 1 February and 1 May 2020 and had complete information available on the primary outcome parameter, 28-day mortality. Results. Of the 1073 patients enrolled, 305 (28%) were kidney transplant and 768 (72%) dialysis patients with a mean age of 60 6 13 and 67 6 14 years, respectively. The 28-day probability of death was 21.3% [95% confidence interval (95% CI) 14.3–30.2%] in kidney transplant and 25.0% (95% CI 20.2–30.0%) in dialysis patients. Mortality was primarily associated with advanced age in kidney transplant patients, and with age and frailty in dialysis patients. After adjusting for sex, age and frailty, in-hospital mortality did not significantly differ between transplant and dialysis patients [hazard ratio (HR) 0.81, 95% CI 0.59–1.10, P ¼ 0.18]. In the subset of dialysis patients who were a candidate for transplantation (n ¼ 148), 8 patients died within 28 days, as compared with 7 deaths in 23 patients who underwent a kidney transplantation <1 year before presentation (HR adjusted for sex, age and frailty 0.20, 95% CI 0.07–0.56, P < 0.01). Conclusions. The 28-day case-fatality rate is high in patients on kidney replacement therapy with COVID-19 and is primarily driven by the risk factors age and frailty. Furthermore, in the first year after kidney transplantation, patients may be at increased risk of COVID-19-related mortality as compared with dialysis patients on the waiting list for transplantation. This information is important in guiding clinical decision-making, and for informing the public and healthcare authorities on the COVID-19-related mortality risk in kidney transplant and dialysis patients.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1052494
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.