Cardiac arrest & resuscitation
Large-scale plasma proteomic analysis identifies pathophysiological mechanisms and predictive biomarkers for cardiac arrest
An erratum to this article was published (Resuscitation, Jun 2026 ↗)
Authors' conclusion
Our study identified plasma protein fluctuation patterns 14 years before CA, providing insights into its pathogenesis and offering opportunities for early warning.
Study context
- Population
- UK Biobank cohort participants with plasma proteomic data (2923 plasma proteins)351 Cardiac Arrest (CA) cases
- Outcome
- Incident CA; CA-related plasma proteins and predictive model
Methodological detailsproteomic analysis, UK Biobank, Cox proportional hazards regression; locally estimated scatterplot smoothing; discrimination by ROC AUC
- Proteomic analysis
- UK Biobank
- Cox proportional hazards regression; locally estimated scatterplot smoothing; discrimination by ROC AUC
Main finding
As reported in the abstract
CA-related plasma proteins · 14-year follow-up
Significant CA-related proteins identified
38
Proteins with abnormal fluctuations throughout follow-up
26
AUC of predictive model (26 proteins + demographic indicators), test set
0.822
Observational data: associations, not effects.
Further findings
Biological functions of CA-related proteins
- Mainly collagen-containing extracellular matrix, humoral immune response, cytokine activity
Original publication
Large-scale plasma proteomic analysis identifies pathophysiological mechanisms and predictive biomarkers for cardiac arrest. Resuscitation. Published 29 January 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →