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...

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Main Authors: Yoandro Rosabal Garcia, Eddy Alberto Rosales Guibert, lorchen Torres Quiñones
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
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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.
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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