Heart failure & cardiomyopathies
A Prediction Model for Estimating N-terminal Pro-brain Natriuretic Peptide (NT-proBNP) in a General Japanese Population: The Toon Health Study
Authors' conclusion
This study introduces the first prediction model for NT-proBNP in a general Japanese population.
Study context
- Population
- General Japanese population, Toon City (Toon Health Study)636 with 5-year follow-up
- Participants
- 2,505 participants
- Outcome
- Performance of a prediction model for NT-proBNP (R2 and RMSE)
Methodological detailsprediction model development, population-based, ridge regression, internal validation by bootstrapping, post hoc analysis
- Prediction model development
- Population-based
- Ridge regression
- Internal validation by bootstrapping
- Post hoc analysis
Main finding
As reported in the abstract
NT-proBNP prediction model performance
R2
0.291
RMSE
0.688
Observational data: associations, not effects.
Further findings
Baseline OPR predicting NT-proBNP > 125 pg/mL (heart failure with preserved ejection fraction (HFpEF) risk) · 5 year follow-up
- AUC
- 0.793
- Post hoc analysis
- n = 636
Original publication
A Prediction Model for Estimating NT-proBNP in a General Japanese Population: The Toon Health Study. ESC Heart Fail. Published 1 February 2024. doi:10.
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