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Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study

Authors :
Jan A Staessen
Ralph Wendt
Yu-Ling Yu
Sven Kalbitz
Lutgarde Thijs
Justyna Siwy
Julia Raad
Jochen Metzger
Barbara Neuhaus
Armin Papkalla
Heiko von der Leyen
Alexandre Mebazaa
Emmanuel Dudoignon
Goce Spasovski
Mimoza Milenkova
Aleksandra Canevska-Taneska
Mercedes Salgueira Lazo
Mina Psichogiou
Marek W Rajzer
Łukasz Fuławka
Magdalena Dzitkowska-Zabielska
Guenter Weiss
Torsten Feldt
Miriam Stegemann
Johan Normark
Alexander Zoufaly
Stefan Schmiedel
Michael Seilmaier
Benedikt Rumpf
Mirosław Banasik
Magdalena Krajewska
Lorenzo Catanese
Harald D Rupprecht
Beata Czerwieńska
Björn Peters
Åsa Nilsson
Katja Rothfuss
Christoph Lübbert
Harald Mischak
Joachim Beige
Lukasz Fulawka
Harald Rupprecht
Beata Czerwienska
Jörg Ermisch
Nils Kellner
Lydia Peruth-Stutzmann
Stefanie Schroth
Jonathan Schmidt
Ulrike Schmidt
Daniel Breuer
Fariza Abeud
Marie-Celine Fournier
Badr Louadah
Rocio Molas
Fraile Loreto Rojas
Fabiola Alonso García
Isabel Garcia Sánchez
Ioana Cezara Hrom
Andrzej Więczek.
Matthias Schwab
Kei K Asayama
Tine W Hansen
Gladys E Maestre
Dimitrios Basoulis
Georgios Karamanakos.
Pawel Lis
Agnieszka Olszanecka
Rosa Bellmann-Weiler
Lucas Lanser
Alicia Edin
Matthias NE Forsell
Bernd Stegmayr
Björn-Erik Ole Jensen
Hans-Martin Orth
Sylke Borstel
Agata Mikolajewska
Manfred Hecking
Lukas Schmölz
Michał Hoffmann
Krzysztof Narkiewicz
Agnieszka Matera-Witkiewicz
Justyna Zachciał
Monika Litwin
Patrycja Marciniak
Publication Year :
2022
Publisher :
ELSEVIER, 2022.

Abstract

BACKGROUND: The SARS-CoV-2 pandemic is a worldwide challenge. The CRIT-CoV-U pilot study generated a urinary proteomic biomarker consisting of 50 peptides (COV50), which predicted death and disease progression from SARS-CoV-2. After the interim analysis presented for the German Government, here, we aimed to analyse the full dataset to consolidate the findings and propose potential clinical applications of this biomarker. METHODS: CRIT-CoV-U was a prospective multicentre cohort study. In eight European countries (Austria, France, Germany, Greece, North Macedonia, Poland, Spain, and Sweden), 1012 adults with PCR-confirmed COVID-19 were followed up for death and progression along the 8-point WHO scale. Capillary electrophoresis coupled with mass spectrometry was used for urinary proteomic profiling. Statistical methods included logistic regression and receiver operating characteristic curve analysis with a comparison of the area under curve (AUC) between nested models. Hospitalisation costs were derived from the care facility corresponding with the Markov chain probability of reaching WHO scores ranging from 3 to 8 and flat-rate hospitalisation costs adjusted for the gross per capita domestic product of each country. FINDINGS: From June 30 to Nov 19, 2020, 228 participants were recruited, and from April 30, 2020, to April 14, 2021, 784 participants were recruited, resulting in a total of 1012 participants. The entry WHO scores were 1-3 in 445 (44%) participants, 4-5 in 529 (52%) participants, and 6 in 38 (4%) participants; and of all participants, 119 died and 271 had disease progression. The odds ratio (OR) associated with COV50 in all 1012 participants for death was 2·44 (95% CI 2·05-2·92) unadjusted and 1·67 (1·34-2·07) when adjusted for sex, age, BMI, comorbidities, and baseline WHO score; and for disease progression, the OR was 1·79 (1·60-2·01) when unadjusted and 1·63 (1·41-1·91) when adjusted (p

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....3973ebe41317826f1bb3b476708a01e7