P-Wave Terminal Force in Lead V1 Predicts Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke

J Stroke Cerebrovasc Dis. 2017 Sep;26(9):1912-1915. doi: 10.1016/j.jstrokecerebrovasdis.2017.06.031. Epub 2017 Jul 14.

Abstract

Background: Detection of paroxysmal atrial fibrillation (PAF) in cryptogenic stroke is critical to selecting an antithrombotic therapy for preventing recurrent stroke. However, the predictor of PAF in patients with acute ischemic stroke is not well elucidated. P-wave terminal force in lead V1 (PTFV1) is a standard electrocardiogram marker of left atrial abnormality. In this study, we aimed to investigate the utility of PTFV1 for the prediction of PAF in patients with acute ischemic stroke.

Methods: The study included 295 consecutive patients who had acute ischemic stroke and were admitted to the hospital between September 2014 and August 2016. Patients with a known history of PAF, persistent atrial fibrillation, or cardiac pacemaker were excluded from the study. The clinical characteristics of patients with or without PAF were compared, and multiple logistic regression analysis was performed to assess the independent contribution of each variable.

Results: Among 226 patients eligible for our analysis, 16 (7.1%) were diagnosed with PAF after admission. PTFV1 was significantly higher in patients with PAF than those without PAF (.051 versus .027 mm⋅s; P < .001). Multivariate analysis showed that PTFV1 per .01 mm⋅s increase was strongly associated with PAF (odds ratio, 1.61; 95% confidence interval, 1.24-2.09; P < .001). The optimal cutoff value of PTFV1 for the prediction of PAF was .04 mm⋅s.

Conclusions: PTFV1 is a strong predictor of PAF detection in acute ischemic stroke.

Keywords: Ischemic stroke; PTFV1; electrocardiogram; paroxysmal atrial fibrillation.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Atrial Fibrillation / diagnosis
  • Atrial Fibrillation / etiology*
  • Atrial Fibrillation / physiopathology
  • Atrial Function, Left*
  • Brain Ischemia / complications
  • Brain Ischemia / diagnosis*
  • Brain Ischemia / physiopathology
  • Electrocardiography*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Patient Admission
  • Predictive Value of Tests
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Stroke / complications
  • Stroke / diagnosis*
  • Stroke / physiopathology