1. Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study
- Author
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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, and Patrycja Marciniak
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Adult ,Proteomics ,SARS-CoV-2 ,Medicine (miscellaneous) ,COVID-19 ,Public Health, Global Health, Social Medicine and Epidemiology ,Health Informatics ,Pilot Projects ,Cohort Studies ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Health Information Management ,Urologi och njurmedicin ,Disease Progression ,Urology and Nephrology ,Humans ,Decision Sciences (miscellaneous) ,Prospective Studies ,Biomarkers - 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
- Published
- 2022