PXD029009 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | A proteomic survival predictor for COVID-19 patients in intensive care |
Description | Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:53:54.492.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Michael Mülleder |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | TripleTOF 6600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-10-08 06:42:47 | ID requested | |
1 | 2022-03-03 03:46:46 | announced | |
⏵ 2 | 2023-11-14 08:53:55 | announced | 2023-11-14: Updated project metadata. |
Publication List
Dataset with its publication pending |
Keyword List
ProteomeXchange project tag: Covid-19 |
submitter keyword: Covid-19, plasma, Sars-Cov2, scanningSWATH |
Contact List
Markus Ralser |
contact affiliation | Charité – Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany; The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK |
contact email | markus.ralser@charite.de |
lab head | |
Michael Mülleder |
contact affiliation | Core Facility -High-Throughput Mass Spectrometry, Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Berlin, Germany |
contact email | michael.muelleder@charite.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD029009
- Label: PRIDE project
- Name: A proteomic survival predictor for COVID-19 patients in intensive care