Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community.
Clin Chem Lab Med
; 62(4): 740-752, 2024 Mar 25.
Article
em En
| MEDLINE
| ID: mdl-37982681
ABSTRACT
OBJECTIVES:
The biomarker N-terminal pro B-type natriuretic peptide (NT-proBNP) has predictive value for identifying individuals at risk for cardiovascular disease (CVD). However, it is not widely used for screening in the general population, potentially due to financial and operational reasons. This study aims to develop a deep-learning model as an efficient means to reliably identify individuals at risk for CVD by predicting serum levels of NT-proBNP from the ECG.METHODS:
A deep convolutional neural network was developed using the population-based cohort study Hamburg City Health Study (HCHS, n=8,253, 50.9â¯% women). External validation was performed in two independent population-based cohorts (SHIP-START, n=3,002, 52.1â¯% women, and SHIP-TREND, n=3,819, 51.2â¯% women). Assessment of model performance was conducted using Pearson correlation (R) and area under the receiver operating characteristics curve (AUROC).RESULTS:
NT-proBNP was predictable from the ECG (R, 0.566 [HCHS], 0.642 [SHIP-START-0], 0.655 [SHIP-TREND-0]). Across cohorts, predicted NT-proBNP (pNT-proBNP) showed good discriminatory ability for prevalent and incident heart failure (HF) (baseline AUROC 0.795 [HCHS], 0.816 [SHIP-START-0], 0.783 [SHIP-TREND-0]; first follow-up 0.669 [SHIP-START-1, 5â¯years], 0.689 [SHIP-TREND-1, 7.3â¯years]), comparable to the discriminatory value of measured NT-proBNP. pNT-proBNP also demonstrated comparable results for other incident CVD, including atrial fibrillation, stroke, myocardial infarction, and cardiovascular death.CONCLUSIONS:
Deep learning ECG algorithms can predict NT-proBNP concentrations with high diagnostic and predictive value for HF and other major CVD and may be used in the community to identify individuals at risk. Long-standing experience with NT-proBNP can increase acceptance of such deep learning models in clinical practice.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Aprendizado Profundo
/
Insuficiência Cardíaca
/
Infarto do Miocárdio
Limite:
Female
/
Humans
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Male
Idioma:
En
Revista:
Clin Chem Lab Med
Assunto da revista:
QUIMICA CLINICA
/
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Alemanha