Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Mortality Risk and Urinary Proteome Changes of Acute COVID-19 Survivors in the Multinational Study CRIT-COV-U Study

Justyna Siwy
ORCID logo ,
Felix Keller
ORCID logo ,
Mirosław Banasik
,
Björn Peters
,
Emmanuel Dudoignon
,
Alexandre Mebazaa
,
Dilara Gülmez
ORCID logo ,
Goce Spasovski
,
Mercedes Salgueira Lazo
,
Marek Rajzer
,
Łukasz Fuławka
,
Magdalena Dzitkowska-Zabielska
,
Harald Mischak
,
Manfred Hecking
ORCID logo ,
Joachim Beige
,
Ralph Wendt
* ORCID logo
Version 1 : Received: 19 August 2024 / Approved: 19 August 2024 / Online: 19 August 2024 (13:58:06 CEST)

How to cite: Siwy, J.; Keller, F.; Banasik, M.; Peters, B.; Dudoignon, E.; Mebazaa, A.; Gülmez, D.; Spasovski, G.; Lazo, M. S.; Rajzer, M.; Fuławka, Ł.; Dzitkowska-Zabielska, M.; Mischak, H.; Hecking, M.; Beige, J.; Wendt, R. Mortality Risk and Urinary Proteome Changes of Acute COVID-19 Survivors in the Multinational Study CRIT-COV-U Study. Preprints 2024, 2024081355. https://doi.org/10.20944/preprints202408.1355.v1 Siwy, J.; Keller, F.; Banasik, M.; Peters, B.; Dudoignon, E.; Mebazaa, A.; Gülmez, D.; Spasovski, G.; Lazo, M. S.; Rajzer, M.; Fuławka, Ł.; Dzitkowska-Zabielska, M.; Mischak, H.; Hecking, M.; Beige, J.; Wendt, R. Mortality Risk and Urinary Proteome Changes of Acute COVID-19 Survivors in the Multinational Study CRIT-COV-U Study. Preprints 2024, 2024081355. https://doi.org/10.20944/preprints202408.1355.v1

Abstract

Background/Objectives: Survival prospects following SARS-CoV-2 infection may extend beyond the acute phase, influenced by various factors including age, health conditions, and infection se-verity. However, this topic has not been studied in detail. We therefore investigated mortality risk post-acute COVID-19 in the CRIT-COV-U cohort. Methods: We could retrieve survival data from 651 patients and also assess the association between urinary peptides and future death. Data spanning until December 2023 were collected from six countries, comparing mortality trends with age- and sex-matched non-infected controls. A death prediction classifier was developed and validated using pre-existing urinary peptidomics datasets. Results: Notably, 13.98% of post-COVID-19 patients succumbed during the follow-up, with mortality rates significantly higher than non-infected controls, particularly evident in younger individuals (<65 years). These data for the first time demonstrate that SARS-CoV-2 infection highly significantly increases the risk of mortality not only during the acute phase of the disease, but also beyond, for a period of about one year. In our study we were further able to identify 201 Urinary peptides linked to mortality, and integrated these into a predictive classifier (DP201). Higher DP201 scores, alongside age and BMI, significantly predicted death. Conclusions: Our findings underscore the utility of urinary peptides in prognosticating post-acute COVID-19 mortality, offering insights for targeted interventions. Our data also suggest that mortality should be considered as one possible symptom or conse-quence of post-acute sequelae of SARS-CoV-2 infection, a fact that is currently overlooked.

Keywords

long covid; PASC; biomarker; mortality; peptides; urine

Subject

Medicine and Pharmacology, Epidemiology and Infectious Diseases

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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