Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set

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Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set. / Oto, Emre; Okutucu, Sercan; Katircioglu-Öztürk, Deniz; Güvenir, Halil Altay; Karaagaoglu, Ergun; Borggrefe, Martin; Breithardt, Günter; Goette, Andreas; Ravens, Ursula; Steinbeck, Gerhard; Wegscheider, Karl; Oto, Ali; Kirchhof, Paulus.

In: EUROPACE, Vol. 19, No. 6, 01.06.2017, p. 921-928.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Oto, E, Okutucu, S, Katircioglu-Öztürk, D, Güvenir, HA, Karaagaoglu, E, Borggrefe, M, Breithardt, G, Goette, A, Ravens, U, Steinbeck, G, Wegscheider, K, Oto, A & Kirchhof, P 2017, 'Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set', EUROPACE, vol. 19, no. 6, pp. 921-928. https://doi.org/10.1093/europace/euw144

APA

Oto, E., Okutucu, S., Katircioglu-Öztürk, D., Güvenir, H. A., Karaagaoglu, E., Borggrefe, M., Breithardt, G., Goette, A., Ravens, U., Steinbeck, G., Wegscheider, K., Oto, A., & Kirchhof, P. (2017). Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set. EUROPACE, 19(6), 921-928. https://doi.org/10.1093/europace/euw144

Vancouver

Bibtex

@article{bf295546ca3349dd81ff5c78408635c8,
title = "Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set",
abstract = "AIMS: Data mining is the computational process to obtain information from a data set and transform it for further use. Herein, through data mining with supportive statistical analyses, we identified and consolidated variables of the Flecainide Short-Long (Flec-SL-AFNET 3) trial dataset that are associated with the primary outcome of the trial, recurrence of persistent atrial fibrillation (AF) or death.METHODS AND RESULTS: The 'Ranking Instances by Maximizing the Area under the ROC Curve' (RIMARC) algorithm was applied to build a classifier that can predict the primary outcome by using variables in the Flec-SL dataset. The primary outcome was time to persistent AF or death. The RIMARC algorithm calculated the predictive weights of each variable in the Flec-SL dataset for the primary outcome. Among the initial 21 parameters, 6 variables were identified by the RIMARC algorithm. In univariate Cox regression analysis of these variables, increased heart rate during AF and successful pharmacological conversion (PC) to sinus rhythm (SR) were found to be significant predictors. Multivariate Cox regression analysis revealed successful PC as the single relevant predictor of SR maintenance. The primary outcome risk was 3.14 times (95% CI:1.7-5.81) lower in those who had successful PC to SR than those who needed electrical cardioversion.CONCLUSIONS: Pharmacological conversion of persistent AF with flecainide without the need for electrical cardioversion is a powerful and independent predictor of maintenance of SR. A strategy of flecainide pretreatment for 48 h prior to planned electrical cardioversion may be a useful planning of a strategy of long-term rhythm control.",
author = "Emre Oto and Sercan Okutucu and Deniz Katircioglu-{\"O}zt{\"u}rk and G{\"u}venir, {Halil Altay} and Ergun Karaagaoglu and Martin Borggrefe and G{\"u}nter Breithardt and Andreas Goette and Ursula Ravens and Gerhard Steinbeck and Karl Wegscheider and Ali Oto and Paulus Kirchhof",
note = "Published on behalf of the European Society of Cardiology. All rights reserved. {\textcopyright} The Author 2016. For permissions please email: journals.permissions@oup.com.",
year = "2017",
month = jun,
day = "1",
doi = "10.1093/europace/euw144",
language = "English",
volume = "19",
pages = "921--928",
journal = "EUROPACE",
issn = "1099-5129",
publisher = "Oxford University Press",
number = "6",

}

RIS

TY - JOUR

T1 - Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation results from a data mining project on the Flec-SL trial data set

AU - Oto, Emre

AU - Okutucu, Sercan

AU - Katircioglu-Öztürk, Deniz

AU - Güvenir, Halil Altay

AU - Karaagaoglu, Ergun

AU - Borggrefe, Martin

AU - Breithardt, Günter

AU - Goette, Andreas

AU - Ravens, Ursula

AU - Steinbeck, Gerhard

AU - Wegscheider, Karl

AU - Oto, Ali

AU - Kirchhof, Paulus

N1 - Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2016. For permissions please email: journals.permissions@oup.com.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - AIMS: Data mining is the computational process to obtain information from a data set and transform it for further use. Herein, through data mining with supportive statistical analyses, we identified and consolidated variables of the Flecainide Short-Long (Flec-SL-AFNET 3) trial dataset that are associated with the primary outcome of the trial, recurrence of persistent atrial fibrillation (AF) or death.METHODS AND RESULTS: The 'Ranking Instances by Maximizing the Area under the ROC Curve' (RIMARC) algorithm was applied to build a classifier that can predict the primary outcome by using variables in the Flec-SL dataset. The primary outcome was time to persistent AF or death. The RIMARC algorithm calculated the predictive weights of each variable in the Flec-SL dataset for the primary outcome. Among the initial 21 parameters, 6 variables were identified by the RIMARC algorithm. In univariate Cox regression analysis of these variables, increased heart rate during AF and successful pharmacological conversion (PC) to sinus rhythm (SR) were found to be significant predictors. Multivariate Cox regression analysis revealed successful PC as the single relevant predictor of SR maintenance. The primary outcome risk was 3.14 times (95% CI:1.7-5.81) lower in those who had successful PC to SR than those who needed electrical cardioversion.CONCLUSIONS: Pharmacological conversion of persistent AF with flecainide without the need for electrical cardioversion is a powerful and independent predictor of maintenance of SR. A strategy of flecainide pretreatment for 48 h prior to planned electrical cardioversion may be a useful planning of a strategy of long-term rhythm control.

AB - AIMS: Data mining is the computational process to obtain information from a data set and transform it for further use. Herein, through data mining with supportive statistical analyses, we identified and consolidated variables of the Flecainide Short-Long (Flec-SL-AFNET 3) trial dataset that are associated with the primary outcome of the trial, recurrence of persistent atrial fibrillation (AF) or death.METHODS AND RESULTS: The 'Ranking Instances by Maximizing the Area under the ROC Curve' (RIMARC) algorithm was applied to build a classifier that can predict the primary outcome by using variables in the Flec-SL dataset. The primary outcome was time to persistent AF or death. The RIMARC algorithm calculated the predictive weights of each variable in the Flec-SL dataset for the primary outcome. Among the initial 21 parameters, 6 variables were identified by the RIMARC algorithm. In univariate Cox regression analysis of these variables, increased heart rate during AF and successful pharmacological conversion (PC) to sinus rhythm (SR) were found to be significant predictors. Multivariate Cox regression analysis revealed successful PC as the single relevant predictor of SR maintenance. The primary outcome risk was 3.14 times (95% CI:1.7-5.81) lower in those who had successful PC to SR than those who needed electrical cardioversion.CONCLUSIONS: Pharmacological conversion of persistent AF with flecainide without the need for electrical cardioversion is a powerful and independent predictor of maintenance of SR. A strategy of flecainide pretreatment for 48 h prior to planned electrical cardioversion may be a useful planning of a strategy of long-term rhythm control.

U2 - 10.1093/europace/euw144

DO - 10.1093/europace/euw144

M3 - SCORING: Journal article

C2 - 27377074

VL - 19

SP - 921

EP - 928

JO - EUROPACE

JF - EUROPACE

SN - 1099-5129

IS - 6

ER -