Evidence map›Paper›PMID 33969282›Full record

ArticleEClinicalMedicine2021

A urinary peptidomic profile predicts outcome in SARS-CoV-2-infected patients.

Ralph Wendt, Lutgarde Thijs, Sven Kalbitz, Harald Mischak, Justyna Siwy, Julia Raad, Jochen Metzger, Barbara Neuhaus, Heiko von der Leyen, Emmanuel Dudoignon and 14 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Ralph WendtDepartment of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St. Georg Hospital Leipzig, Delitzscher Strasse 141, Leipzig DE 04129, Germany.
Lutgarde ThijsResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Diseases, University of Leuven, Belgium.
Sven KalbitzDepartment of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St. Georg Hospital Leipzig, Delitzscher Strasse 141, Leipzig DE 04129, Germany.
Harald MischakMosaiques-Diagnostics GmbH, Hannover, Germany.
Justyna SiwyMosaiques-Diagnostics GmbH, Hannover, Germany.
Julia RaadMosaiques-Diagnostics GmbH, Hannover, Germany.
Jochen MetzgerMosaiques-Diagnostics GmbH, Hannover, Germany.
Barbara NeuhausHannover Clinical Trial Center, Medizinische Hochschule, Hannover, Germany.
Heiko von der LeyenHannover Clinical Trial Center, Medizinische Hochschule, Hannover, Germany.
Emmanuel DudoignonDepartment of Anaesthesiology and Intensive Care, Hôpital Saint Louis-Lariboisière, U942 Inserm MASCOT, Université de Paris, Paris, France.
Alexandre MebazaaDepartment of Anaesthesiology and Intensive Care, Hôpital Saint Louis-Lariboisière, U942 Inserm MASCOT, Université de Paris, Paris, France.
Goce SpasovskiDepartment Nephrology, Cyril and Methodius University, Skopje, Republic of North Macedonia.
Mimoza MilenkovaDepartment Nephrology, Cyril and Methodius University, Skopje, Republic of North Macedonia.
Aleksandra Canevska-TalevskaDepartment Nephrology, Cyril and Methodius University, Skopje, Republic of North Macedonia.
Beata CzerwieńskaDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Katowice, Poland.
Andrzej WiecekDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Katowice, Poland.
Björn PetersDepartment of Nephrology, Skaraborg Hospital, Skövde, Sweden.
Åsa NilssonResearch and Development Centre (FoU), Skaraborg Hospital, Skövde, Sweden.
Matthias SchwabMargarete-Fischer-Bosch Institute for Clinical Pharmacology and Department for Gastroenterology, Hepatology and Endocrinology, Robert Bosch Hospital, Stuttgart, Germany.
Katja RothfussMargarete-Fischer-Bosch Institute for Clinical Pharmacology and Department for Gastroenterology, Hepatology and Endocrinology, Robert Bosch Hospital, Stuttgart, Germany.
Christoph LübbertDepartment of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St. Georg Hospital Leipzig, Delitzscher Strasse 141, Leipzig DE 04129, Germany.
Jan A StaessenNon-Profit Research Institute Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.
Joachim BeigeDepartment of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St. Georg Hospital Leipzig, Delitzscher Strasse 141, Leipzig DE 04129, Germany.
CRIT-COV-U investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 prediction models based on clinical characteristics, routine biochemistry and imaging, have been developed, but little is known on proteomic markers reflecting the molecular pathophysiology of disease progression.

methodsThe multicentre (six European study sites) Prospective Validation of a Proteomic Urine Test for Early and Accurate Prognosis of Critical Course Complications in Patients with SARS-CoV-2 Infection Study (Crit-COV-U) is recruiting consecutive patients (≥ 18 years) with PCR-confirmed SARS-CoV-2 infection. A urinary proteomic biomarker (COV50) developed by capillary-electrophoresis-mass spectrometry (CE-MS) technology, comprising 50 sequenced peptides and identifying the parental proteins, was evaluated in 228 patients (derivation cohort) with replication in 99 patients (validation cohort). Death and progression along the World Health Organization (WHO) Clinical Progression Scale were assessed up to 21 days after the initial PCR test. Statistical methods included logistic regression, receiver operating curve (ROC) analysis and comparison of the area under the curve (AUC).

findingsIn the derivation cohort, 23 patients died, and 48 developed worse WHO scores. The odds ratios (OR) for death per 1 standard deviation (SD) increment in COV50 were 3·52 (95% CI, 2·02-6·13,

interpretationThis first CRIT-COV-U report proves the concept that urinary proteomic profiling generates biomarkers indicating adverse COVID-19 outcomes, even at an early disease stage, including WHO stages 1-3. These findings need to be consolidated in an upcoming final dataset.

fundingThe German Federal Ministry of Health funded the study.

Indexed as

COVID-19Disease severityRisk scoreSARS-CoV-2Urinary proteomics

Identifiers

PMID33969282
PMCPMC8092440

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.