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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dc.citation.epage928en_US
dc.citation.issueNumber6en_US
dc.citation.spage921en_US
dc.citation.volumeNumber19en_US
dc.contributor.authorOto, E.en_US
dc.contributor.authorOkutucu, S.en_US
dc.contributor.authorKatircioglu-Öztürk, D.en_US
dc.contributor.authorGüvenir, H. A.en_US
dc.contributor.authorKaraagaoglu, E.en_US
dc.contributor.authorBorggrefe, M.en_US
dc.contributor.authorBreithardt, G.en_US
dc.contributor.authorGoette, A.en_US
dc.contributor.authorRavens, U.en_US
dc.contributor.authorSteinbeck, G.en_US
dc.contributor.authorWegscheider, K.en_US
dc.contributor.authorOto, A.en_US
dc.contributor.authorKirchhof, P.en_US
dc.date.accessioned2018-04-12T11:04:27Z
dc.date.available2018-04-12T11:04:27Z
dc.date.issued2017en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.departmentCyberparken_US
dc.description.abstractData 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.en_US
dc.identifier.doi10.1093/europace/euw144en_US
dc.identifier.issn1099-5129
dc.identifier.urihttp://hdl.handle.net/11693/37157
dc.language.isoEnglishen_US
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/europace/euw144en_US
dc.source.titleEuropaceen_US
dc.subjectAtrial fibrillationen_US
dc.subjectCardioversionen_US
dc.subjectData miningen_US
dc.subjectFlecainideen_US
dc.subjectRIMARC algorithmen_US
dc.titlePredictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data seten_US
dc.typeArticleen_US
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