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Atrial fibrillation and smoking: cardiovascular markers predicting brain natriuretic peptide in patients treated with radiofrequency ablation

Original title: Fibrilación auricular y tabaquismo: marcadores cardiovasculares predictores de péptido natriurético cerebral en pacientes tratados con ablación por radiofrecuencia
*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

Spanish

Pages from-to (Number of pages)

Pages 84-99 (16 pages)

Journal (Volume, Issue Number)

Revista de la Federacion Argentina de Cardiologia (Volume 53, Issue 2)

Publication milestones

  • Published - 26/06/2024

Publication status

Published - 26/06/2024

ISSN

0326-646X

Publication IDs

  • Scopus: 85201831735

Abstract

Introduction: brain natriuretic peptide is secreted due to stretching due to increased ven-tricular volume. Previous smoking would influence the correlation between this hormone and cardiovascular markers in post-radiofrequency ablation atrial fibrillation. The objective was to analyze the relationship and predictive factors of brain natriuretic peptide with biochemical and echocardiographic markers in patients with and without smoking habit with atrial fibrillation treated with radiofrequency ablation. Material and methods: cross-sectional and analytical study of secondary data from the Dryad digital repository, including 192 participants with post-radiofrequency ablation atrial fibrillation. Student's t-test, Spearman correlation, neural networks (multilayer perceptron), kappa and Cramer's V coefficients, Chisquare, determination of sensitivity and specificity were used. Results: with history of smoking, brain natriuretic peptide was poorly and negatively correlated with LDLcholesterol, moderately and negatively correlated with ejection fraction; low and positively with left atrial volume. In patients without history, brain natriuretic peptide correlated low and positively with diastolic pressure, low and negatively with alanine aminotransferase and ejection fraction. Multilayer perceptron indicated an accuracy percentage for predicting normal or elevated BNP of more than 80% based on smoking history. Conclusions: smoking history influences the correlation between brain natriuretic peptide and cardio-vascular markers in patients post-radiofrequency ablation for atrial fibrillation. It is feasible to create a neural network algorithm for diagnosing elevated levels of brain natriuretic peptide based on the type of previous exposure to tobacco.