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Comparison of the three conventional methods for the postoperative atrial fibrillation prediction
Author(s) -
Aksu Uğur,
Gulcu Oktay,
Aksakal Emrah,
Topcu Selim,
Sevimli Serdar,
Tanboga Ibrahim Halil
Publication year - 2017
Publication title -
echocardiography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 62
eISSN - 1540-8175
pISSN - 0742-2822
DOI - 10.1111/echo.13535
Subject(s) - atrial fibrillation , medicine , univariate analysis , logistic regression , cardiology , ejection fraction , univariate , clinical practice , multivariate analysis , heart failure , multivariate statistics , statistics , mathematics , family medicine
Although various risk factors have been defined for the development of postoperative atrial fibrillation ( PAF ), these parameters have not been adequately verified and validated. We investigated the atrial fibrillation detection capabilities of echocardiographic parameters in PAF developing and the determination of predictive values for clinical use. Method We enrolled 60 consecutive patients with 234 lesions who underwent CABG surgery. All patients underwent preoperative echocardiographic evaluation. Patients were divided into two groups according to PAF development status. Results The mean age of the patients was 67, and 73% were male and PAF occurred in 19 patients. In univariate analysis, left atrial volume index ( LAV i), left ventricular global strain ( LVGS ) and ejection fraction were associated with PAF development. Parameters which were significant in univariate analysis were included in a logistic regression model to determine the independent predictors of PAF . LAV i was found to be an independent predictor of PAF . Conclusion Although several parameters have been defined for PAF development, LAV i is more advantageous than the other conventional methods in clinical decision making.