Predictive model of electrical therapy failure in paroxysmal atrial fibrillation
Introduction: Atrial fibrillation is the most common recurrent arrhythmia in clinical practice. Its prevalence is multiplying in the current population and has different pathophysiological causes that make it a global pandemic. Objectives: To design a predictive model for failure of electrical ther...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | Spanish |
Published: |
ECIMED
2023-12-01
|
Series: | Revista Cubana de Medicina Militar |
Subjects: | |
Online Access: | https://revmedmilitar.sld.cu/index.php/mil/article/view/2831 |
_version_ | 1797384687184773120 |
---|---|
author | Yoandro Rosabal Garcia Eddy Alberto Rosales Guibert lorchen Torres Quiñones |
author_facet | Yoandro Rosabal Garcia Eddy Alberto Rosales Guibert lorchen Torres Quiñones |
author_sort | Yoandro Rosabal Garcia |
collection | DOAJ |
description | Introduction: Atrial fibrillation is the most common recurrent arrhythmia in clinical practice. Its prevalence is multiplying in the current population and has different pathophysiological causes that make it a global pandemic.
Objectives: To design a predictive model for failure of electrical therapy in patients with paroxysmal atrial fibrillation.
Methods: A case-control study was carried out with 33 cases, and 66 controls. Predictor variables: age, ejection fraction ≤ 40%, left atrial volume ≥ 34 mL/m2. From logistic regression, a model was obtained in which the positive predictive value, negative predictive value, sensitivity and specificity were included.
Results: The predictive risk factors were: age ≥ 55 years (p= 0.013; odds ratio (OR)= 3.58; 95% confidence interval -CI-: 1.33-9.67); left ventricular ejection fraction (LVEF) ≤ 40% was observed in 20 patients (22.7%) (p= 0.004; OR= 4.45; 95% CI: 1.54-12.8); elevated left atrial pressure, elevated left atrial volume (p= 0.004; OR= 3.11; 95% CI: 1.24-8.77), according to the logistic regression model. Internal validation was carried out by data division; It was confirmed that the model predicts very well those who will be successful in the therapeutic result.
Conclusions: The predictive model developed is composed of the predictors age > 55 years, LVEF; left atrial volume; It presents a good fit and discriminating power, especially positive predictive value. |
first_indexed | 2024-03-08T21:38:56Z |
format | Article |
id | doaj.art-9805e2179a364d0c9a4730acb8ca7aad |
institution | Directory Open Access Journal |
issn | 1561-3046 |
language | Spanish |
last_indexed | 2024-03-08T21:38:56Z |
publishDate | 2023-12-01 |
publisher | ECIMED |
record_format | Article |
series | Revista Cubana de Medicina Militar |
spelling | doaj.art-9805e2179a364d0c9a4730acb8ca7aad2023-12-20T15:37:03ZspaECIMEDRevista Cubana de Medicina Militar1561-30462023-12-01524e02302831e02302831895Predictive model of electrical therapy failure in paroxysmal atrial fibrillationYoandro Rosabal Garcia0Eddy Alberto Rosales Guibert1lorchen Torres Quiñones2Centro de Cirugia Cardiovascular y Cardiologia Santiago de CubaHospital Joaquin Castillo Duanyuniversidad ciencias medicas stgoIntroduction: Atrial fibrillation is the most common recurrent arrhythmia in clinical practice. Its prevalence is multiplying in the current population and has different pathophysiological causes that make it a global pandemic. Objectives: To design a predictive model for failure of electrical therapy in patients with paroxysmal atrial fibrillation. Methods: A case-control study was carried out with 33 cases, and 66 controls. Predictor variables: age, ejection fraction ≤ 40%, left atrial volume ≥ 34 mL/m2. From logistic regression, a model was obtained in which the positive predictive value, negative predictive value, sensitivity and specificity were included. Results: The predictive risk factors were: age ≥ 55 years (p= 0.013; odds ratio (OR)= 3.58; 95% confidence interval -CI-: 1.33-9.67); left ventricular ejection fraction (LVEF) ≤ 40% was observed in 20 patients (22.7%) (p= 0.004; OR= 4.45; 95% CI: 1.54-12.8); elevated left atrial pressure, elevated left atrial volume (p= 0.004; OR= 3.11; 95% CI: 1.24-8.77), according to the logistic regression model. Internal validation was carried out by data division; It was confirmed that the model predicts very well those who will be successful in the therapeutic result. Conclusions: The predictive model developed is composed of the predictors age > 55 years, LVEF; left atrial volume; It presents a good fit and discriminating power, especially positive predictive value.https://revmedmilitar.sld.cu/index.php/mil/article/view/2831fibrilación auricularmodelo predictivoterapéutica. |
spellingShingle | Yoandro Rosabal Garcia Eddy Alberto Rosales Guibert lorchen Torres Quiñones Predictive model of electrical therapy failure in paroxysmal atrial fibrillation Revista Cubana de Medicina Militar fibrilación auricular modelo predictivo terapéutica. |
title | Predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
title_full | Predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
title_fullStr | Predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
title_full_unstemmed | Predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
title_short | Predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
title_sort | predictive model of electrical therapy failure in paroxysmal atrial fibrillation |
topic | fibrilación auricular modelo predictivo terapéutica. |
url | https://revmedmilitar.sld.cu/index.php/mil/article/view/2831 |
work_keys_str_mv | AT yoandrorosabalgarcia predictivemodelofelectricaltherapyfailureinparoxysmalatrialfibrillation AT eddyalbertorosalesguibert predictivemodelofelectricaltherapyfailureinparoxysmalatrialfibrillation AT lorchentorresquinones predictivemodelofelectricaltherapyfailureinparoxysmalatrialfibrillation |