ArticleESC heart failure2024
A prediction model for estimating NT-proBNP in a general Japanese population: the Toon Health Study.
Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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- A prediction model for estimating NT-proBNP in a general Japanese population: the Toon Health Study.ESC heart failure · 2024Article
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10 authors at 3 institutions in 1 country.
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Abstract
aimsAs part of the Toon Health Study, which is an ongoing population-based cohort study, we aimed to develop a prediction model for N-terminal pro-brain natriuretic peptide (NT-proBNP) in a general Japanese population. We sought to explore the influence of various demographic and clinical factors on NT-proBNP levels and assess the model's performance. In addition, our objectives included internal validation and investigation of the diagnostic potential of the observed-to-predicted NT-proBNP ratio (OPR) at baseline for predicting the risk of heart failure with preserved ejection fraction (HFpEF). METHODS AND
resultsIn this prospective cohort study, participants were recruited from Toon City, Japan, as part of the larger Toon Health Study, focusing on cardiovascular risk factors. We measured the NT-proBNP levels and used linear regression with penalization (ridge regression) to develop the model. The model incorporated 10 prespecified predictors (age, gender, body mass index, diastolic blood pressure, heart rate, haemoglobin, albumin, total cholesterol, haemoglobin A1c, and estimated glomerular filtration rate) and underwent assessment using R
conclusionsThis study introduces the first prediction model for NT-proBNP in a general Japanese population. Although the model has acceptable performance, ongoing refinement is essential. Our transparent approach to model development, alongside a web-based interactive tool, lays the groundwork for further improvements and external validation. The OPR holds potential for predicting the future risk of HFpEF. This research contributes to understanding the nuanced influence of patient backgrounds on levels of NT-proBNP in asymptomatic individuals within the context of a broader population-based cohort study.
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