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Left Volume Atrial Index and P-Wave Dispersion as Predictors of Postoperative Atrial Fibrillation after Coronary Artery Bypass Graft: a Retrospective Cohort Study
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  • Chaerul Achmad,
  • Badai Tiksnadi,
  • Mohammad Akbar,
  • Giky Karwiky,
  • Teddy Sihite,
  • Arsha Pramudya,
  • Mohammad Iqbal,
  • Mega Febrianora
Chaerul Achmad
Universitas Padjadjaran

Corresponding Author:[email protected]

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Badai Tiksnadi
Universitas Padjadjaran
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Mohammad Akbar
Universitas Padjadjaran
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Giky Karwiky
Universitas Padjadjaran
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Teddy Sihite
Universitas Padjadjaran
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Arsha Pramudya
Rumah Sakit Dr Hasan Sadikin
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Mohammad Iqbal
Universitas Padjadjaran
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Mega Febrianora
Universitas Padjadjaran
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Abstract

Background: Preoperative left atrial remodeling as Postoperative atrial fibrillation (POAF) predisposing factors could be measured by left atrial volume index (LAVI) and P-wave dispersion. Aim: This study aimed to assess P-wave dispersion and LAVI as preoperative predictors of POAF among patients who underwent Coronary Artery Bypass Graft (CABG). Methods: An analytical retrospective cohort study was performed on patients who underwent CABG. The P-wave dispersion and POAF were evaluated based on documented ECG results. LAVI size was collected from echocardiographic reports. Hazard ratios of P-wave dispersion and LAVI for POAF were analyzed using Cox proportional hazard model. Result: A total of 42 subjects (57±1 years) were included in this study. POAF occurred in 28.6% of patients at a median of 2 days after CABG. P-wave dispersion was significantly longer in patients in whom AF was developed (53.03±3.82ms vs. 44.01±1.98ms, p:0.028), while LAVI difference was not significant. The Cox proportional hazard model showed a significant association between P-wave dispersion and risk of POAF (HR 1.05, CI95%, 1.001-1.103;p=0.048). There was no association between LAVI and risk of POAF (HR1.003, CI 95%, 0.965-1.044;p=0.864). Conclusion: P-wave dispersion is a predictor of POAF in patients who underwent CABG. Risk stratification using P-wave dispersion enables clinicians to identify high-risk patients before CABG surgery.
Oct 2021Published in Current Problems in Cardiology on pages 101031. 10.1016/j.cpcardiol.2021.101031