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 journal › SCORING: Journal article › Research › peer-review
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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 -