Acute cardiac care & resuscitationCohort study
Large-scale plasma proteomic analysis identifies pathophysiological mechanisms and predictive biomarkers for cardiac arrest
- prospective cohort
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 dataCardiac Arrest (CA) cases, 2923 plasma proteins
- Participants
- 351 participants
- Exposure
- Association between plasma proteins and CA; predictive model of CA risk
Main finding
As reported in the abstract
CA-related proteins · 14-year follow-up period
significant CA-related proteins
38
Observational data: associations, not effects.
Further findings
Predictive model (26 proteins with abnormal fluctuations combined with demographic indicators)
- proteins with abnormal fluctuations throughout follow-up
- 26
- AUC in the test set
- 0.822
Original publication
Large-scale plasma proteomic analysis identifies pathophysiological mechanisms and predictive biomarkers for cardiac arrest. Resuscitation. Published 29 January 2026. doi:10.1016/j.resuscitation.2026.110994
Summarised from the published abstract; every number is checked against it