Determinants of use of long-term continuous electrocardiographic monitoring for acute ischemic stroke patients without atrial fibrillation at baseline

Jiann Der Lee, Yen Chu Huang, Meng Lee, Tsong Hai Lee, Ya Wen Kuo, Ya Han Hu*, Bruce Ovbiagele

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

Background: Atrial fibrillation (AF) is the most common cardiac rhythm disorder associated with stroke. Increased risk of stroke is the same regardless of whether the AF is permanent or paroxysmal. However, detecting paroxysmal AF is challenging and resource intensive. We aimed to develop a predictive model for AF in patients with acute ischemic stroke, which could improve the detection rate of paroxysmal AF. Methods: We analyzed 10,034 adult patients with acute ischemic stroke. Differences in clinical characteristics between the patients with and without AF were analyzed in order to develop a predictive model of AF. The associated factors for AF were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. We used another dataset, which enrolled 860 acute ischemic stroke patients without AF at baseline, to test whether the developed model could improve the detection rate of paroxysmal AF. Among the study population, 1,658 patients (16.5%) had AF. Results: Multivariate logistic regression revealed that sex, age, body weight, hypertension, diabetes mellitus, hyperlipidemia, pulse rate at admission, respiratory rate at admission, systolic blood pressure at admission, diastolic blood pressure at admission, National Institute of Health Stroke Scale (NIHSS) score at admission, total cholesterol level, triglyceride level, aspartate transaminase level, and sodium level were major factors associated with AF. CART analysis identified NIHSS score at admission, age, triglyceride level, and aspartate transaminase level as important factors for AF to classify the patients into subgroups. Conclusion: When selecting the high-risk group of patients (with an NIHSS score >12 and age >64.5 years, or with an NIHSS score ≤12, age >71.5 years, and triglyceride level ≤61.5 mg/dL) ac-cording to the CART model, the detection rate of paroxysmal AF was approximately double in the acute ischemic stroke patients without AF at baseline.

Original languageEnglish
Pages (from-to)224-231
Number of pages8
JournalCurrent Neurovascular Research
Volume17
Issue number3
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Bentham Science Publishers.

Keywords

  • Acute ischemic stroke
  • Atrial fibrillation
  • CART analyses
  • Cardiac rhythm
  • Classification and regression tree analyses
  • Hypertension

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