Annals of Indian Academy of Neurology (Jan 2023)

Predictive value of supraventricular short runs for new-onset atrial fibrillation in patients with ischemic stroke

  • Burak Sezenöz,
  • Yakup Yalçın,
  • Hale B Caglayan,
  • Elif Yazgan,
  • Emrullah Kızıltunç,
  • Serkan Ünlü,
  • Taylan Altıparmak,
  • Bijen Nazlıel,
  • Hüseyin M Özdemir

DOI
https://doi.org/10.4103/aian.aian_308_23
Journal volume & issue
Vol. 26, no. 6
pp. 902 – 907

Abstract

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Background: The clinical importance of supraventricular run (SVR) is uncertain in the management of patients with previous cerebrovascular events. We aim to evaluate the role of SVRs in the development of future atrial fibrillation (AF) in patients diagnosed with ischemic stroke. Methods: We retrospectively evaluated patients who underwent 24-h Holter monitoring for the evaluation of possible AF after ischemic cerebrovascular events. The presence and duration of SVR were noted. Subsequent diagnosis of AF was searched in patients with sinus rhythm. Results: A total of 694 patients were included in the analysis. SVR was detected in 104 (14.9%) patients in the study group. Seventy-one (10.2%) patients were diagnosed with AF in the follow-up. SVRs were more prevalent among patients with AF (P < 0.001). The median atrial run duration was 5.96 (2.02–17.84) s in the AF absent group vs. 8.76 (3.78–17.62) s in the AF present group (P < 0.001). The best predictive cut-off duration of an atrial run was 8 s (sensitivity = 61.5% and specificity = 74.4%, Area Under Curve (AUC) = 0.708). Cox regression analysis showed that age (odds ratio [OR]: 1.03, 95% confidence interval [CI]: 1.00–1.060, P = 0.020), presence of short supraventricular run (OR: 2.53, 95% CI 1.40–4.57, P = 0.002), and left atrial diameter (OR: 1.13 95% CI: 1.07–1.19, P < 0.001) were the independent predictors of AF development in the follow-up. Conclusion: Age, left atrial diameter, and the presence of SVRs are associated with an increased risk of future AF after ischemic stroke. SVR duration may be an important parameter in risk stratification.

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