Coronary disease & ACS

Development and validation of a prognostic score integrating remote heart failure symptoms and clinical variables in mortality risk prediction after myocardial infarction: the PragueMi score

Eur J Prev CardiolPublished Prognostic model development and validation study

Authors' conclusion

The PragueMi score combining HF symptoms and clinical variables performs better than the currently recommended GRACE score.

Study context

Population
Consecutive patients hospitalised for myocardial infarction (MI) at a large tertiary heart centre, June 2017–September 2022 (aged 64 ± 12 years, 26.7% women)
Participants
1,135 patients
Comparison
PragueMi score vs Global Registry of Acute Coronary Events (GRACE) score
Outcome
Mortality risk prediction (discrimination, AUC) after MI
Follow-up
6 months and 1 year
Methodological detailsprospectively collected data, consecutive patients, single tertiary heart centre, derivation (70%) and validation (30%) cohorts
  • Prospectively collected data
  • Consecutive patients
  • Single tertiary heart centre
  • Derivation (70%) and validation (30%) cohorts

Performance

As reported in the abstract

Mortality risk discrimination (validation cohort) · 6 months
Test or modelAUC (6 months)AUC (1 year)
PragueMi90.1 (95% CI 81.8-98.4)89.7 (95% CI 83.5-96.0)
GRACE77.4 (95% CI 62.2-92.5)76.2 (95% CI 64.7-87.7)

AUC (6 months)

PragueMi90.1 (95% CI 81.8-98.4)
GRACE77.4 (95% CI 62.2-92.5)

AUC (1 year)

PragueMi89.7 (95% CI 83.5-96.0)
GRACE76.2 (95% CI 64.7-87.7)
  • PragueMi vs GRACE: P = 0.04 — 6 months
  • PragueMi vs GRACE: P = 0.004 — 1 year

Original publication

Development and validation of a prognostic score integrating remote heart failure symptoms and clinical variables in mortality risk prediction after myocardial infarction: the PragueMi score. Eur J Prev Cardiol. Published 18 March 2024. doi:10.1093/eurjpc/zwae114

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