Heart failure & cardiomyopathiesDiagnostic or prognostic study

Independent external validation of the LIFE-HF clinical prediction model using the GUIDE-IT trial

ESC Heart FailPublished

  • external validation
  • independent
  • patient-level data from the GUIDE-IT trial
  • multiple imputation

Authors' conclusion

In a contemporary, high-risk North American HF with reduced ejection fraction cohort, the LIFE-HF models showed good discrimination but systematically underpredicted 1-year risk. The mortality model may support risk-informed decision-making, whereas the composite model requires further validation.

Study context

Population
Contemporary, high-risk North American heart failure (HF) with reduced ejection fraction cohort (GUIDE-IT trial participants)validation cohort (median age 64 years, 69% male)
Participants
801 participants
Comparison
LIFE-HF models for 1-year all-cause death and the composite of death or HF hospitalization, externally validated using patient-level data from the GUIDE-IT trial

Further findings

Mortality model performance (1-year all-cause death)
0.77, 95% confidence interval (CI): 0.72-0.82 · AUROC · O/E 1.28, 95% CI: 1.01-1.54 · calibration slope 1.58, 95% CI: 1.20-1.95
Composite model performance (death or HF hospitalization) · 1-year
0.69, 95% CI: 0.64-0.73 · AUROC · O/E 1.40, 95% CI: 1.25-1.54 · calibration slope 0.82, 95% CI: 0.63-1.00

Mortality model performance (1-year all-cause death)

good discrimination
underprediction
underfitting

Composite model performance (death or HF hospitalization) · 1-year

moderate discrimination
underprediction
overfitting

Decision curve analysis (net clinical benefit)

Net clinical benefit for the mortality model, but not the composite model, over a broad range of risk thresholds

Original publication

Independent external validation of the LIFE-HF clinical prediction model using the GUIDE-IT trial. ESC Heart Fail. Published 13 January 2026. doi:10.1093/eschf/xvag007

Summarised from the published abstract; every number is checked against it