2021
DOI: 10.1002/joa3.12556
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Association between atrial fibrillation and bundle branch block

Abstract: Background The association between atrial fibrillation (Afib) and sinus and AV nodal dysfunction has previously been reported. However, no data are available regarding the association between Afib and bundle branch block (BBB). Methods Patient data were obtained from the Nationwide Inpatient Sample (NIS) database between years 2009 and 2015. Patients with a diagnosis of Afib and BBB were identified using validated International Classification of Diseases, 9th revision, and Clinical Modification (ICD‐9‐CM) code… Show more

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Cited by 5 publications
(8 citation statements)
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References 18 publications
(18 reference statements)
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“…In multiple regression analysis, AF was independently associated with LBBB. 3 In another study, 25,268 patients from 106 centers in the United States with left ventricular (LV) dysfunction were enrolled. After adjusting for potential AF risk factors, QRS duration remained independently associated with AF.…”
Section: Discussionmentioning
confidence: 99%
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“…In multiple regression analysis, AF was independently associated with LBBB. 3 In another study, 25,268 patients from 106 centers in the United States with left ventricular (LV) dysfunction were enrolled. After adjusting for potential AF risk factors, QRS duration remained independently associated with AF.…”
Section: Discussionmentioning
confidence: 99%
“…The prevalence of LBBB in this study was lower than that in the literature. 3 However, this study was the largest study of patients with AF and LBBB who underwent catheter ablation of AF up to now. The possible explanation was the patients with LBBB who had poor health condition such as severe heart failure, and the very elderly were excluded from undergoing catheter ablation.…”
Section: Limitationsmentioning
confidence: 98%
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“…This has been explained in detail in previous studies [ 3 , 4 ]. The International Classification of Disease, 9th revision, Clinical Modification (ICD 9-CM) codes were used to identify diagnosis in the NIS database [ 5 , 6 ]. Data included in this study were obtained between January 2009 and December 2014.…”
Section: Methodsmentioning
confidence: 99%