Heart failure & cardiomyopathies
Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics
Authors' conclusion
The present study with comprehensive plasma proteomics profiling demonstrated a high accuracy to predict worsening HF in patients with HCM and identified the Ras-MAPK and related signalling pathways as potential underlying mechanisms.
Study context
- Population
- Patients with hypertrophic cardiomyopathy (HCM)4,986 proteins profiled
- Participants
- 389 patients
- Exposure
- Training set vs Test set
- Training setn = 268
- Test setn = 121
- Outcome
- Prediction of worsening HF by an 11-protein plasma proteomics-based random forest model
Methodological detailsmulticentre, external validation
- Multicentre
- External validation
Main finding
As reported in the abstract
Worsening HF prediction (11-protein model)
| Group | AUC |
|---|---|
| Test set | 0.87 (95% CI: 0.76 to 0.98) |
Test set
AUC0.87 (95% CI: 0.76 to 0.98)
Observational data: associations, not effects.
Further findings
Pathway analysis: worsening heart failure (HF) vs no worsening HF
- Ras-MAPK pathway and related pathways dysregulated in patients who developed worsening HF
- False discovery rate (FDR)<0.00001
- FDR threshold <0.001
Original publication
Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics. Heart. Published 14 July 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →