Fragmented QRS and prediction of paroxysmal atrial fibrillation episodes | Temiz | Pakistan Journal of Medical Sciences Old Website
 

Fragmented QRS and prediction of paroxysmal atrial fibrillation episodes

Ahmet Temiz, Emine Gazi, Ömer Güngör, Burak Altun, Ahmet Barutçu, Adem Bekler, Yusuf Ziya Tan, Sedat Özcan, Ali Ümit Yener, Tolga Kurt

Abstract


Objective: Prior studies have demonstrated the relationship between cardiovascular diseases and fragmented QRS (fQRS). fQRS was also associated with ventricular arrhythmias. Our objective was to find out the relationship between fQRS and paroxysmal atrial fibrillation (PAF).

Method: A total of 301 patients without overt structural heart disease were prospectively included in the study. Patients were divided in to 2 groups according to presence of fQRS. Multivariate logistic regression analysis was used to assess the predictive value of fQRS for predicting PAF.

Results: One hundred and three patients had fQRS. Patients with fQRS were older (53±16.8 vs 45.3±17.2, p < 0.001), with larger left atrium (LA) (33.2±5.9 vs 30.1±5.9 mm, p=0.001), with thicker interventricular septum (IVS) (10.2±1.9 vs 9.5±2.3 mm, p=0.032), more diabetic (19.8 vs 10.6%, p=0.029) and have more PAF episodes (22.3 vs 4.1%, p < 0.001) in comparison with patients without fQRS.  fQRS was an independent predictor of detecting PAF episode (odds ratio, 9.69; 95% confidence interval, 2.46-38.15, p=0.001). Hypertension and diabetes mellitus were also predictive.

Conclusion: The presence of fQRS independently predicted PAF episodes in holter monitoring (HM). Further studies are needed to clarify the clinical implications of this finding.

doi: http://dx.doi.org/10.12669/pjms.304.5064

How to cite this:Temiz A, Gazi E, Güngör O, Altun B, Barutcu A, Bekler A, et al. Fragmented QRS and prediction of paroxysmal atrial fibrillation episodes. Pak J Med Sci 2014;30(4):862-867.   doi: http://dx.doi.org/10.12669/pjms.304.5064

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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