Abstract P709: Risk Factors Associated With Atrial Fibrillation Detection by Mobile Cardiac Outpatient Telemetry Following Acute Ischemic Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Ovais Inamullah ◽  
Alec McConnell ◽  
Hussein Al-khalidi ◽  
Gerald S Bloomfield ◽  
Shreyansh Shah
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Patient Selection ◽  
Left Atrial ◽  
Cryptogenic Stroke ◽  
Left Ventricular ◽  
Stepwise Logistic Regression ◽  
Internal Diameter ◽  
Atrial Area

Background: Mobile Cardiac outpatient telemetry (MCOT) is often used for patients (pts) with cryptogenic ischemic stroke following hospital discharge to detect atrial fibrillation (AFib) but criteria for patient selection remains a subject of debate. Methods: We identified 297 pts hospitalized with acute ischemic stroke who had an inpatient transthoracic echocardiogram (TTE) and underwent MCOT upon discharge between 2016 and 2018 at a large academic comprehensive stroke center. Pts characteristics between AFib vs. no AFib were compared by Fisher’s exact test for categorical and Wilcoxon rank-sum test for continuous variables. A multivariable stepwise logistic regression model was developed to determine the predictors of AFib detection. Statistical hypotheses were tested as two-sided at 0.05 level of significance. Results: Of the 297 pts, AFib was detected in 24 (8.1%) on 30-day MCOT. Pts with AFib detected were older, white, and have had a larger left atrial area (Table). The final logistic model demonstrated that white race (vs. non-white) (OR 4.86, 1.53-15.41), left atrial area (OR 1.15, 1.05-1.25) and left ventricular internal diameter in diastole (OR 0.33, 0.16-0.67) were associated with AFib detection by MCOT. Conclusion: Although rates of AFib detection on 30-day MCOT post-discharge was low, there are important patient characteristics and TTE features that can improve patient selection. Further studies are needed to determine if this data can be used prospectively to clinically decide which pts with cryptogenic stroke should be given 30-day MCT to detect atrial fibrillation.

Abstract WMP64: Utility of Left Atrial Abnormality on Admission Electrocardiography in Acute Ischemic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yukio Sugiyama ◽  
Nobuyuki Ohara ◽  
Kotaro Watanabe ◽  
Junya Kobayashi ◽  
Daisuke Takahashi
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrial ◽  
Strong Predictor ◽  
Multiple Logistic Regression Analysis ◽  
Cryptogenic Stroke ◽  
P Wave ◽  
Cardioembolic Stroke ◽  
Ecg Monitoring

Introduction and Hypothesis: Clinical categorization of ischemic stroke is very important to select the antithrombotic therapy for preventing the recurrent stokes. However, about 25% of ischemic stroke is the stroke for undetermined cause, termed as cryptogenic stroke. Recently, proactive detecting of paroxysmal atrial fibrillation (PAF) in cryptogenic stroke has gained attention. P-wave terminal force in lead V1 (PTFV1) of electrocardiography (ECG) is a specific indicator of left atrial abnormality. In this study, we tested PTFV1 for the utility of PAF detection and further clinical categorization in acute ischemic stroke. Methods: One hundred forty eight consecutive acute ischemic stroke patients were admitted to our hospital from September 2014 to March 2016. We included 105 patients (mean age 72.8±13.4 years), who had sinus rhythm on admission 12-lead ECG without atrial fibrillation, or cardiac pacing. PTFV1 (mmхsec) of participants was assessed, and had analyzed the association with PAF detection in a 24-hour ECG monitoring and clinical categories of ischemic stroke. Results: PTFV1 was significantly higher in the patients with PAF (n=11) than in those without PAF (0.049±0.024 vs 0.031±0.027; p<0.05). Multiple logistic regression analysis revealed that PTFV1 was an independent predictor for PAF detection (odds ratio, 1.46; 95% confidence interval, 1.02-2.08; p<0.05). According to the clinical categorization, PTFV1 of cardioembolic stroke (0.061±0.022) was significantly higher, compared to lacunar stroke (0.018±0.019; p<0.01), atherothrombotic stroke (0.035±0.026; p<0.05), and cryptogenic stroke (0.031±0.029; p<0.05). The proportion of patients with left atrial abnormality defined by PTFV1 (≧0.04), was 10 out of 11 (91%) for cardioembolic stroke, and 10 out of 27 (37%) for cryptogenic stroke. Conclusions: PTFV1 on admission ECG in acute ischemic stroke was a strong predictor for PAF detection and cardioembolic stroke diagnosis. Extended ECG monitoring may be useful in cryptogenic stroke with left atrial abnormality defined by PTFV1.

Prognostic value of global left atrial peak strain in patients with acute ischemic stroke and no evidence of atrial fibrillation

2018 ◽  
Vol 35 (4) ◽  
pp. 603-613 ◽  
Author(s):  
Andrea Sonaglioni ◽  
Antonio Vincenti ◽  
Massimo Baravelli ◽  
Elisabetta Rigamonti ◽  
Elena Tagliabue ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrial ◽  
Prognostic Value ◽  
Peak Strain

Usefulness of the ACTEL Score to Predict Atrial Fibrillation in Patients with Cryptogenic Stroke

Cardiology ◽  
2020 ◽  
Vol 145 (3) ◽  
pp. 168-177 ◽  
Author(s):  
Antonio Muscari ◽  
Pietro Barone ◽  
Luca Faccioli ◽  
Marco Ghinelli ◽  
Marco Pastore Trossello ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Cryptogenic Stroke ◽  
Left Ventricular ◽  
Control Group ◽  
End Diastolic Volume ◽  
Electrocardiogram Monitoring

Introduction: To assess the probability of undetected atrial fibrillation (AF) in patients with ischemic stroke, we previously compared patients who were first diagnosed with AF with patients with large or small artery disease and obtained the MrWALLETS 8-item scoring system. In the present study, we utilized cryptogenic strokes (CS) as the control group, as AF is normally sought among CS patients. Methods: We retrospectively examined 191 ischemic stroke patients (72.5 ± 12.6 years), 68 with first diagnosed AF and 123 with CS, who had undergone 2 brain CT scans, echocardiography, carotid/vertebral ultrasound, continuous electrocardiogram monitoring and anamnestic/laboratory search for cardiovascular risk factors. Results: In logistic regression, 5 variables were independently associated with AF, forming the “ACTEL” score: Age ≥75 years (OR 2.42, 95% CI 1.18–4.96, p = 0.02; +1 point); hyperCholesterolemia (OR 0.38, 95% CI 0.18–0.78, p = 0.009; –1 point); Tricuspid regurgitation ≥ mild-to-moderate (OR 4.99, 95% CI 1.63–15.27, p = 0.005; +1 point); left ventricular End-diastolic volume <65 mL (OR 7.43, 95% CI 2.44–22.6, p = 0.0004; +1 point); Left atrium ≥4 cm (OR 4.57, 95% CI 1.97–10.62, p = 0.0004; +1 point). The algebraic sum of these points may range from –1 to +4. For AF identification, the area under the receiver operating characteristic curve was 0.80 (95% CI 0.73–0.87). With a cutoff of ≥2, positive predictive value was 80.8%, specificity 92.7% and sensitivity 55.9%. Conclusions: The ACTEL score, a simplified and improved version of the MrWALLETS score, allows the identification of patients with first diagnosed AF, in the context of CSs, with a high positive predictive value.

Abstract W MP65: Moderate to Severe Left Atrial Enlargement is Associated with Cardioembolic or Cryptogenic Stroke Recurrence in a Multiethnic Cohort: The Northern Manhattan Study

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Shadi Yaghi ◽  
Yeseon P Moon ◽  
Consuelo Mora-McLaughlin ◽  
Joshua Z Willey ◽  
Marco R Di Tullio ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Left Atrial ◽  
Recurrent Stroke ◽  
Cryptogenic Stroke ◽  
Cardioembolic Stroke ◽  
Stroke Recurrence ◽  
Stroke Patients ◽  
Stroke Subtypes ◽  
Multiethnic Cohort

Background: While left atrial (LA) enlargement increases incident stroke risk, the association with recurrent stroke is unclear. Our aim was to determine the association of LA enlargement (LAE) with stroke recurrence risk and recurrent stroke subtypes likely related to embolism (cryptogenic or cardioembolic). Methods: We enrolled 655 first ischemic stroke patients in the Northern Manhattan Stroke Study. LA size was measured by two-dimensional echocardiogram as part of the clinical evaluation and patients were followed annually for up to 5 years. LA size adjusted for sex and body surface area was categorized into three groups: normal (52.7%), mild LAE (31.6%), and moderate to severe LAE (15.7%). The outcomes were total recurrent stroke, and recurrent combined cryptogenic or cardioembolic stroke. Cox proportional hazard models assessed the association between LA size and risk of stroke recurrence. Results: Of 655 patients, LA size data was present in 529 (81%). Mean age was 69 ± 13 years; 46% were male and 18% had atrial fibrillation. Over a median of 4 years, recurrent stroke occurred in 83 patients (16%), 29 were cardioembolic or cryptogenic stroke. After adjusting for baseline demographics and risk factors including atrial fibrillation and congestive heart failure, compared to normal LA size, moderate to severe LAE was associated with greater risk of recurrent combined cardioembolic or cryptogenic stroke (adjusted HR 2. 99, 95% CI 1. 10 to 8.13), but not with risk of total stroke recurrence (adjusted HR 1.18, 95% CI 0.60 to 2.32). Mild LAE was not associated with either total stroke recurrence or the combined recurrent cryptogenic or cardioembolic stroke subtypes. Conclusion: Moderate to severe LAE is an independent marker of recurrent cardioembolic or cryptogenic stroke in a multiethnic cohort of ischemic stroke patients. Future research is needed to determine if anticoagulant use reduces the risk of recurrence in ischemic stroke patients with moderate to severe LAE.

Abstract WP255: Can Normal Electrocardiogram Rule Out Newly Diagnosed Atrial Fibrillation in Ischemic Stroke Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Joshua Santucci ◽  
Takashi Shimoyama ◽  
Ken Uchino
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
Large Artery ◽  
Newly Diagnosed ◽  
Stroke Patients ◽  
Stroke Subtype ◽  
History Of

Introduction: Electrocardiogram (ECG) findings of premature atrial contraction and prolonged PR interval are associated with risk of onset atrial fibrillation (AF) in cryptogenic stroke. We sought to see if normal ECG and AF incidence is incompletely understood. Methods: From a prospective single-hospital stroke registry from 2018, we identified ischemic stroke patients who had ECG done on admission for review. We excluded patients with AF on admission ECG, history of AF, and implanted device with cardiac monitoring capability. Normal ECG was interpreted based on the standardized reporting guidelines for ECG studies evaluating risk stratification of emergency department patients. Stroke subtype was diagnosed according to the TOAST classification: large artery atherosclerosis (LAA), small vessel occlusion (SVO), cardioembolism, others/undetermined and embolic stoke of undetermined source (ESUS) criteria. We compared the incidence of newly diagnosed AF during hospitalization and from outpatient cardiac event monitoring between normal and abnormal ECG. Results: Of the 558 consecutive acute ischemic stroke patients, we excluded 135 with AF on admission ECG or history of AF and 9 with implanted devices. Of the remaining 414 patients that were included in the study, ESUS (31.2%) was the most frequent stroke subtype, followed by LAA (30.0%), SVO (14.0%), others/undetermined (15.7%), and cardioembolism (9.2%). Normal ECG was observed in 125 patients (30.2%). Cardioembolic subtype was less frequent in the normal versus abnormal ECG group (1.6% vs. 12.5%, p<0.001). New AF was detected in 17/414 patients (4.1%) during hospitalization. Of these 17 patients, none had normal ECG (0/125) and all had abnormal ECG (17/289, 5.9%) (p=0.002). After discharge, of 111 patients undergoing 4-week outpatient cardiac monitoring, new AF was detected in 16 (14.4%). Of these 16 patients, only 1 had a normal ECG (1/35, 2.9%) while 15 had abnormal ECG (15/76, 19.7%) (p=0.02). Conclusions: Normal ECG at admission for acute ischemic stroke is associated with low likelihood of detection of new atrial fibrillation in either the inpatient or outpatient setting.

Abstract WP256: Atrial Fibrillation Predicting Factors in Transient and Minor Stroke Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Marian Muchada Lopez ◽  
Jorge Pagola ◽  
Jesus Juega ◽  
Jaume Francisco-Pascual ◽  
Alejandro Bustamante ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Left Atrial ◽  
Cryptogenic Stroke ◽  
Volume Index ◽  
Minor Stroke ◽  
Stroke Patients ◽  
Left Atrial Strain ◽  
Minor Ischemic Stroke ◽  
Atrial Strain

Introduction and Purpose: Our aim was to review the characteristics of transient ischemic attack (TIA) and minor ischemic stroke patients monitored for atrial fibrillation (AF) epidoses detection within the first 4weeks after stroke to assess AF predictors. Materials and Methods: TIA and minor ischemic stroke patients (nihss≤ 5) were selected from CRYPTO-AF database. CRYPTO-AF is a prospective multicentre registry of patients with cryptogenic stroke older of 55 year-old. Monitoring started within the first 72 hours from stroke symptoms onset and was prolonged for 4 weeks. Clinical, cardiographic and blood test parameters of patients included were reviewed. Fisher exact and Mann Whitney tests were used to analyze categorical and continuous data. Results: In our cohort of 152 transient and minor ischemic stroke patients, 55.9% were men, mean age 73.18±10.24 and median NIHSS score was 2.31(0-5). A total of 30 patients (20.3%) were diagnosed with AF in the first month of monitoring, 6 patients (5.7%) within the first 3 days, 14 patients (13.3%) between 3 days and to 2 weeks of monitoring, and 14 partientes (12.4%) between the second and the fourth week. In these transient and minor ischemic stroke patients, age (p< 0.031), left atrial volume index (p< 0.023), the appearance of isolated extrasystoles during monitoring (p< 0.021), Type B natriuretic peptide (p< 0.011) and the longitudinal strain (p< 0.019) appeared as independet precitors of AF. However in the multivariate analysis adjusted for the above variables, only left atrial strain (OR 0.89, 95% CI: 0.797-0.991, p< 0.034) independently predicts AF detection. Conclusions: In our serie, only the left atrial strain appeared as a indepent predictor of AF. Given the known pathophysiology of TIA and minor ischemic stroke, the description of AF predictors would help to identify those patients who would benefit from completing a longer monitoring. More studies are needed to identify these predictors.

Abstract W P192: Echocardiographic findings in Acute Ischemic Stroke are Implicated in Specific Subtypes of Ischemic Stroke

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Jun Lee ◽  
Jung-Im Kwon ◽  
Na-Young Kim ◽  
Hyun-Du Noh
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrial ◽  
Demographic Data ◽  
Left Ventricular ◽  
Volume Index ◽  
Large Artery ◽  
Vessel Occlusion ◽  
Stroke Subtypes ◽  
Echocardiographic Findings

Background & Significance: Echocardiographic left ventricular hypertrophy (LVH) and left atrial enlargement (LAE) reflect mortality and morbidity from cardiovascular disease. We aimed to investigate the association between echocardiographic findings and stroke subtypes and its implication in acute ischemic stroke. Methods: We retrospectively reviewed the records of 1692 patients with acute ischemic stroke, who were admitted within 7 days after symptom onset. Stroke subtypes were categorized according to the SSS-TOAST classification. LVH was defined as left ventricular mass index (LVMI) >115 g/m2 in men and >95 g/m2 in women, and moderate to severe LAE was defined as left ventricular volume index (LAVi) ≥34 ml/m2 in both gender. The demographic data and echocardiographic findings [LVMI, LAVi, and left atrial anterior-posterior diameter (LAD) and presence of LVH or LAE] were compared in each stroke subtype. Results: A total of 1002 patients who were classified as patients with large-artery atherosclerosis (LAA, n=525), patients with cardioembolism (CE, n=296), and patients with small vessel occlusion (SVO, n=181) were included. Echocardiographic variables showed trends in which larger LVMI, LAD, and LAVi in CE group compared with two other groups. Multivariate analysis was performed as comparison with SVO after adjusting for age, gender, hyperlipidemia, diabetes mellitus, and history of smoking. LVH and LVMI were significant independent predictors of LAA (OR 1.6, 95%CI 1.0-2.5, p=0.04 in LVH and OR 1.1, 95%CI 1.0-1.2 by increased LVMI 10g/m2, p=0.036), and all of moderate-to-severe LAE, LVH, LVMI, LAD and LAVi were significant independent predictors of CE (OR 16.7, 95%CI 8.3-33.7, p<0.001 in LAE; OR 2.4, 95%CI 1.5-3.8, p<0.001 in LVH; OR 1.2, 95%CI 1.11-1.3 by increased LVMI 10g/m2, p<0.001; OR 1.2, 95%CI 1.1-1.2 by increased LAD 1 mm, p<0.001; OR 1.2, 95%CI 1.1-1.2 by increased LAVi 1 ml/m2, p<0.001). Conclusions: Our studies demonstrate echocardiographic LVMI, LAD and LAVi are linked to specific stroke subtypes even after adjusting for established cardiovascular risk. These results suggest that consideration of echocardiographic indices is helpful to understand the pathomechanism in the ischemic stroke.

scholarly journals Serum D-dimer Levels Are Proportionally Associated with Left Atrial Enlargement in Patients with an Acute Ischemic Stroke due to Non-valvular Atrial Fibrillation

2016 ◽  
Vol 55 (11) ◽  
pp. 1447-1452 ◽  
Author(s):  
Tae-Won Kim ◽  
In-Uk Song ◽  
Sung-Woo Chung ◽  
Joong-Seok Kim ◽  
Jaseong Koo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrial ◽  
Left Atrial Enlargement ◽  
Atrial Enlargement ◽  
D Dimer
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