Clinical Characteristics of Transient Ischemic Attack Patients with Atrial Fibrillation: Analyses of a Multicenter Retrospective Study

Background: Atrial fibrillation (AF) is an important risk factor for transient ischemic attack (TIA). However, little is known about the characteristics of TIA patients with AF. This study investigated the characteristics of such patients, using data from a retrospective, observational, multicenter study. Methods: TIA patients admitted to 13 stroke centers in Japan within 7 days of onset between January 2008 and December 2009 were included. The present analyses compared baseline characteristics, clinical symptoms, findings from diffusion-weighted imaging (DWI), and clinical outcomes between patients with and without AF (AF and non-AF groups). Results: A total of 464 patients (292 men; mean age 68.5 ± 13.2 years) were registered. Of these, 79 patients (17%) had AF. Patients in the AF group were older (73.9 ± 9.1 vs. 67.4 ± 13.6 years, p < 0.001) and more likely to show disturbance of consciousness (13 vs. 6%, p = 0.046) and aphasia (9 vs. 3%, p = 0.007) than patients in the non-AF group. Although no difference in the overall DWI-positive rate was seen between the groups (28 vs. 20%, p = 0.102), a single lesion (23 vs. 10%, p < 0.001), a lesion ≥15 mm (11 vs. 4%, p = 0.006), and a single lesion ≥15 mm (11 vs. 2%, p < 0.001) on DWI were more frequent in the AF group. Multivariate logistic regression analysis identified increased age [odds ratio (OR) 1.04; 95% confidence interval (CI) 1.02-1.07] and DWI single lesion ≥15 mm (OR 5.67; 95% CI 1.92-16.7) as independently associated with the presence of AF. Conclusions: In this study, 17% of our TIA patients had AF. We found an association between the acute ischemic lesion pattern on DWI of a single lesion ≥15 mm and AF in TIA patients. These results might lead to a better diagnosis of TIA patients with AF.

Download Full-text

Abstract TP231: Clinical Characteristics of TIA with Atrial Fibrillation

Stroke ◽

10.1161/str.44.suppl_1.atp231 ◽

2013 ◽

Vol 44 (suppl_1) ◽

Author(s):

Yuka Kuronuma ◽

Toshiyuki Uehara ◽

Kazumi Kimura ◽

Yasushi Okada ◽

Yasuhiro Hasegawa ◽

...

Keyword(s):

Atrial Fibrillation ◽

Hospital Stay ◽

Clinical Symptoms ◽

Length Of Hospital Stay ◽

Using Data ◽

Ischemic Attack ◽

Definition Of ◽

And Diffusion ◽

Single Lesion ◽

Early Stroke

Objectives: Patients with transient ischemic attack (TIA) are at high risk of early stroke, indicating a need for urgent diagnostic workup and treatment. Atrial fibrillation (AF) is one of important causes for TIA. The purpose of this study was to investigate characteristics of TIA patients with AF, using data of a multicenter retrospective study. Methods: The subjects of this study were TIA patients admitted to 13 stroke centers within 7 days after onset between 2008 and 2009. The definition of TIA used in this study was that of clinical symptoms lasting less than 24 hours, regardless of imaging findings. We compared baseline characteristics and diffusion weighted-MRI (DWI) findings between patients with AF and those without AF. Results: A total of 464 patients (69 ± 13 years in age, 172 women) were enrolled. We diagnosed 79 patients (17%) as having AF. TIA patients with AF were older (74 ± 9 vs. 67 ± 14 years old, P = 0.0001) and more likely to have a longer length of hospital stay (15 ± 9 vs. 14 ± 20 days, P = 0.046) than those without AF. Of 464 TIA patients, 458 patients (99%) underwent head MRI. DWI lesion was detected in 96 (21%) patients. There was no difference of DWI positivity rate between patients with or without AF (28% vs. 20%, P = 0.10). Compared to patients without AF, patients with AF were more likely to have a single lesion on DWI (86% vs. 51%, P = 0.005). DWI lesion of ≥15 mm was found more frequently in TIA patients with AF than in those without AF (45% vs. 22%, P = 0.04). Conclusions: This study demonstrated that TIA patients with AF were older and had a longer length of hospital stay than those without AF. In addition, characteristics of DWI findings differed between TIA patient with AF and those without AF; TIA patients with AF were more likely to have a single lesion with a size of ≥15 mm.

Download Full-text

A Clinical Score for Predicting Atrial Fibrillation in Patients with Cryptogenic Stroke or Transient Ischemic Attack

Cardiology ◽

10.1159/000476030 ◽

2017 ◽

Vol 138 (3) ◽

pp. 133-140 ◽

Cited By ~ 23

Author(s):

Calvin Kwong ◽

Albee Y. Ling ◽

Michael H. Crawford ◽

Susan X. Zhao ◽

Nigam H. Shah

Keyword(s):

Atrial Fibrillation ◽

Transient Ischemic Attack ◽

Cryptogenic Stroke ◽

Significant Risk ◽

Area Under The Curve ◽

Clinical Score ◽

Risk Groups ◽

Therapeutic Implications ◽

Using Data ◽

Ischemic Attack

Objectives: Detection of atrial fibrillation (AF) in post-cryptogenic stroke (CS) or transient ischemic attack (TIA) patients carries important therapeutic implications. Methods: To risk stratify CS/TIA patients for later development of AF, we conducted a retrospective cohort study using data from 1995 to 2015 in the Stanford Translational Research Integrated Database Environment (STRIDE). Results: Of the 9,589 adult patients (age ≥40 years) with CS/TIA included, 482 (5%) patients developed AF post CS/TIA. Of those patients, 28.4, 26.3, and 45.3% were diagnosed with AF 1-12 months, 1-3 years, and >3 years after the index CS/TIA, respectively. Age (≥75 years), obesity, congestive heart failure, hypertension, coronary artery disease, peripheral vascular disease, and valve disease are significant risk factors, with the following respective odds ratios (95% CI): 1.73 (1.39-2.16), 1.53 (1.05-2.18), 3.34 (2.61-4.28), 2.01 (1.53-2.68), 1.72 (1.35-2.19), 1.37 (1.02-1.84), and 2.05 (1.55-2.69). A risk-scoring system, i.e., the HAVOC score, was constructed using these 7 clinical variables that successfully stratify patients into 3 risk groups, with good model discrimination (area under the curve = 0.77). Conclusions: Findings from this study support the strategy of looking longer and harder for AF in post-CS/TIA patients. The HAVOC score identifies different levels of AF risk and may be used to select patients for extended rhythm monitoring.

Download Full-text