Abstract 24: Predictors of Occult Atrial Fibrillation in Cryptogenic Stroke

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Erin Ingala ◽  
Jenny Jara ◽  
Emily Fessler ◽  
Brett L Cucchiara ◽  
Steven R Messe ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ejection Fraction ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
Multivariate Logistic Regression Model ◽  
Cerebellar Infarction ◽  
Large Artery ◽  
Brain Images ◽  
Risk Sources ◽  
Artery Disease

Background and Purpose: Prolonged cardiac monitoring may identify paroxysmal atrial fibrillation (AF) in patients with cryptogenic stroke. We aimed to identify clinical, echocardiographic, and neuroimaging features which may increase the efficiency of detecting AF on cardiac monitoring. Methods: We studied a retrospective cohort of 227 subjects with cryptogenic ischemic stroke referred for 28 day mobile cardiac outpatient telemetry (MCOT). Patients with large artery disease or high risk sources of cardioembolism were excluded. We reviewed medical records, brain images, and echocardiograms, blinded to MCOT results. Acute and/or chronic infarctions were characterized by size, location, and as cortical, subcortical, or both; wedge-shaped; lacunar; borderzone; and/or multiple territories. Cardiac features included left atrial (LA) size, ejection fraction, aortic arch atheroma, and PFO. Variables were tested in univariate analyses and further incorporated in a multivariate logistic regression model to determine independent predictors of detecting AF. Results: The cohort age was 62.9±2.9 years, 42% were men, and 53% were white. Median CHADS was 3 and CHADS2Vasc was 5. Infarcts were >1.5 cm in 62% of subjects, predominantly cortical in 47%, subcortical in 39%. Only 9% were single, deep, and <1.5 cm. LA size was 3.6±0.7 cm and ejection fraction was 61±9%. MCOT detected AF in 30 (13%) patients. In multivariate analysis, AF was only associated with age>60 (OR 3.6 [1.2-10.4], p=0.02) and prior (chronic) cortical or cerebellar infarction (OR 3.3 [1.3-8.6], p=0.013) (C-statistic 0.72). There was no association with any other clinical, echocardiographic, or radiographic parameter. AF was detected in 32% of patients with age >60 and the presence of prior cortical or cerebellar infarction, compared to 4% with neither of these factors. Conclusion: Atrial fibrillation is detected on MCOT in a substantial minority of cryptogenic stroke patients. Age>60 and the presence of prior cortical or cerebellar strokes are predictive of detecting AF in these patients. Other brain and cardiac characteristics were not found to be helpful. These data may aid in the selection of patients for prolonged arrhythmia monitoring.

Abstract P630: Detection of Atrial Fibrillation by Prolonged Cardiac Monitoring in Cryptogenic and Known Stroke Etiology

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Michal krawczyk ◽  
Sebastián Fridman ◽  
Maria Bres Bullrich ◽  
Palak Shah ◽  
Juan C Vargas-Gonzalez ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Cryptogenic Stroke ◽  
Left Atrial Volume ◽  
Cardiac Monitoring ◽  
Volume Index ◽  
Multivariate Logistic Regression Model ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Therapeutic Decisions

Introduction: Approximately 25% of strokes are classified as cryptogenic (CS), while greater than 50% have an identifiable or ‘known’ etiology (KS). Several studies have demonstrated that prolonged cardiac monitoring (PCM) after cryptogenic stroke substantially increases the detection of atrial fibrillation (AF), but the yield of PCM in KS stroke is unknown. As a result, the majority of guidelines recommend restricting PCM to patients with cryptogenic stroke. If the detection of AF in KS is no different to cryptogenic stroke, it would suggest that this group too would similarly benefit from PCM, with the potential to impact therapeutic decisions (e.g. initiating anticoagulation). Methods: In a cross-sectional study, we compared AF detection by PCM (minimum of 48 hrs) between CS and KS patients without a previous diagnosis of AF. We developed a multivariate logistic regression model by including known and significant clinical, echocardiographic, and radiological factors known to be associated with the detection of AF. We reported results as odds ratios (OR) and 95% confidence intervals (95% CI). Results: We included 561 ischemic stroke patients, 376 with CS and 185 with KS. The median duration of PCM was 167h for CS and 48h for KS. AF was detected in 30 of 376 (8%) CS patients, and 20 of 185 (7.9%) KS patients. Age, history of thyroid disease, clinical presentation of dysarthria, wake-up stroke, and left atrial volume index on echocardiography were significantly associated with a new diagnosis of AF after stroke in the univariable analysis and were thus included in the logistic regression analysis. Additionally, duration of PCM was included in the multivariate model. After adjustment for potential confounders, AF detection by PCM was not significantly higher for CS than KS (OR 0.95, 95% CI 0.25-3.32, P=0.94). Conclusion: To the best of our knowledge this is the first study directly comparing the incidence of AF between CS and KS as the pre-specified primary outcome. Our findings suggest that CS and KS patients have similar rates of AF detection by PCM. Future prospective research is required to confirm these findings and to determine the cost-effectiveness of PCM in non-cryptogenic stroke patients.

scholarly journals Predictors of Finding Occult Atrial Fibrillation After Cryptogenic Stroke

Stroke ◽  
2015 ◽  
Vol 46 (5) ◽  
pp. 1210-1215 ◽  
Author(s):  
Christopher G. Favilla ◽  
Erin Ingala ◽  
Jenny Jara ◽  
Emily Fessler ◽  
Brett Cucchiara ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
Cerebellar Infarction ◽  
Acute Infarction ◽  
Ischemic Attack ◽  
Low Prevalence

Background and Purpose— Occult paroxysmal atrial fibrillation (AF) is found in a substantial minority of patients with cryptogenic stroke. Identifying reliable predictors of paroxysmal AF after cryptogenic stroke would allow clinicians to more effectively use outpatient cardiac monitoring and ultimately reduce secondary stroke burden. Methods— We analyzed a retrospective cohort of consecutive patients who underwent 28-day mobile cardiac outpatient telemetry after cryptogenic stroke or transient ischemic stroke. Univariate and multivariable analyses were performed to identify clinical, echocardiographic, and radiographic features associated with the detection of paroxysmal AF. Results— Of 227 patients with cryptogenic stroke (179) or transient ischemic stroke (48), 14% (95% confidence interval, 9%–18%) had AF detected on mobile cardiac outpatient telemetry, 58% of which was ≥30 seconds in duration. Age >60 years (odds ratio, 3.7; 95% confidence interval, 1.3–11) and prior cortical or cerebellar infarction seen on neuroimaging (odds ratio, 3.0; 95% confidence interval, 1.2–7.6) were independent predictors of AF. AF was detected in 33% of patients with both factors, but only 4% of patients with neither. No other clinical features (including demographics, CHA 2 DS 2 -VASc [combined stroke risk score: congestive heart failure, hypertension, age, diabetes, prior stroke/transient ischemic attack, vascular disease, sex] score, or stroke symptoms), echocardiographic findings (including left atrial size or ejection fraction), or radiographic characteristics of the acute infarction (including location, topology, or number) were associated with AF detection. Conclusions— Mobile cardiac outpatient telemetry detects AF in a substantial proportion of cryptogenic stroke patients. Age >60 years and radiographic evidence of prior cortical or cerebellar infarction are robust indicators of occult AF. Patients with neither had a low prevalence of AF.

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 WMP63: The Yield of Inpatient Cardiac Telemetry in Ischemic Stroke Patients With Ipsilateral Large Artery Stenosis

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Amador Delamerced ◽  
Anusha Boyanpally ◽  
Sleiman El Jamal ◽  
Tina Burton ◽  
Shawna Cutting ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Artery Stenosis ◽  
Initial Presentation ◽  
Cardiac Monitoring ◽  
Categorical Variables ◽  
Large Artery ◽  
Continuous Variables ◽  
Artery Disease ◽  
Student’S T

Introduction: The detection of atrial fibrillation (AF) is a crucial component of ischemic stroke secondary prevention. Inpatient cardiac telemetry is part of the structured inpatient workup for ischemic stroke but the yield of telemetry is unknown when ipsilateral, hemodynamically-significant large artery atherosclerosis is identified at the time of initial presentation. Methods: We performed a single-center, retrospective, cohort study utilizing data from an institutional quality improvement database. We identified consecutive patients with acute ischemic stroke presenting between July 2015 and September 2017. We included patients with hemodynamically-significant (>50%) large artery stenosis in the arterial territory subserving the region of infarct. We excluded patients with a known history of AF. We determined the yield of an electrocardiogram, inpatient telemetry and outpatient cardiac event monitoring in detecting new AF. Groups with and without AF were compared using unpaired student’s T-test for continuous variables and Chi 2 test for categorical variables. Results: We identified 1435 patients presenting to our institution during the study period of whom 209 (14.6%) met inclusion criteria. Patients were aged 69.37±12.6 years and 33% were female. Of these patients, 19 (9.1%) were found to have new AF during their hospitalization and a further 2 (1%) were found to have AF on extended cardiac monitoring. Thirty seven patients had 30-day cardiac monitoring performed after hospitalization and the yield on this was 5.4% for the detection of AF. Patients with AF were older (76.29±11.31 years vs. 68.60±12.58 years, p=0.008) and had higher rates of hypertension (94% vs. 75%, p=0.04) and hyperlipidemia (72% vs. 52%, p=0.09). In all patients, anticoagulation was planned after the discovery of AF. Discussion: Inpatient cardiac telemetry detects new atrial fibrillation in 9.1% of patients known to have hemodynamically-significant large artery disease at the time of initial presentation. The yield of further outpatient cardiac monitoring is lower (5%). This hypothesis-generating study is limited by its retrospective nature and the potential for selection bias.

scholarly journals Cryptogenic Stroke

2017 ◽  
pp. 62
Author(s):  
Mohammad Saadatnia
Keyword(s):  
Atrial Fibrillation ◽  
Paroxysmal Atrial Fibrillation ◽  
Brain Infarction ◽  
Significant Proportion ◽  
Cryptogenic Stroke ◽  
Paradoxical Embolism ◽  
Embolic Stroke ◽  
Cardiac Monitoring ◽  
Large Artery ◽  
Extensive Evaluation

Cryptogenic stroke is defined as brain infarction that is not attributable to a source of definite embolism, large artery atherosclerosis, or small artery disease despite a thorough vascular, cardiac, and serologic evaluation. Despite many advances in our understanding of ischemic stroke, cryptogenic strokes remain a diagnostic and therapeutic challenge.The pathophysiology of cryptogenic stroke is likely various. Probable mechanisms include cardiac embolism secondary to occult paroxysmal atrial fibrillation, aortic atheromatous disease or other cardiac sources, paradoxical embolism from atrial septal abnormalities such as patent foramen ovale, hypercoagulable states, and preclinical or subclinical cerebrovascular disease.  Cryptogenic stroke is one-fourth among cerebral infarction, but most of them could be ascribed to embolic stroke. A significant proportion of cryptogenic strokes adhere to embolic infarct topography on brain imaging and improvement in our ability to detect paroxysmal atrial fibrillation in patients with cryptogenic stroke has strengthened the idea that these strokes are embolic in nature. a significant proportion of cryptogenic strokes adhere to embolic infarct topography on brain imaging.embolic stroke of undetermined sources(ESUS) was planned for unifying embolic stroke of undetermined source.  The etiologies underlying ESUS included minor-risk potential cardioembolic sources, covert paroxysmal atrial fibrillation, cancer-associated coagulopathy and embolism, arteriogenic emboli, and paroxysmal embolism. Extensive evaluation including transesophageal echocardiography and cardiac monitoring for long time could identify the etiology of these patients. Therefore cryptogenic stroke is a diagnosis of exclusion. Compared with other stroke subtypes, cryptogenic stroke tends to have a better prognosis and lower long-term risk of recurrence.   

scholarly journals B-PO01-028 UTILIZATION OF CARDIAC MONITORING FOR ATRIAL FIBRILLATION IN CRYPTOGENIC STROKE PATIENTS

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S62
Author(s):  
Matthew R. Reynolds ◽  
Candace L. Gunnarsson ◽  
Michael P. Ryan ◽  
Sarah Rosemas ◽  
Paul D. Ziegler ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
Stroke Patients

scholarly journals Infarct Topography and Detection of Atrial Fibrillation in Cryptogenic Stroke: Results from CRYSTAL AF

2015 ◽  
Vol 40 (1-2) ◽  
pp. 91-96 ◽  
Author(s):  
Richard A. Bernstein ◽  
Vincenzo Di Lazzaro ◽  
Marilyn M. Rymer ◽  
Rod S. Passman ◽  
Johannes Brachmann ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cox Regression ◽  
Brain Infarction ◽  
Cryptogenic Stroke ◽  
Monitoring Methods ◽  
Brain Images ◽  
Kaplan Meier ◽  
Imaging Characteristics ◽  
Hazard Ratios ◽  
Routine Monitoring

Background: Insertable cardiac monitors (ICM) have been shown to detect atrial fibrillation (AF) at a higher rate than routine monitoring methods in patients with cryptogenic stroke (CS). However, it is unknown whether there are topographic patterns of brain infarction in patients with CS that are particularly associated with underlying AF. If such patterns exist, these could be used to help decide whether or not CS patients would benefit from long-term monitoring with an ICM. Methods: In this retrospective analysis, a neuro-radiologist blinded to clinical details reviewed brain images from 212 patients with CS who were enrolled in the ICM arm of the CRYptogenic STroke And underLying AF (CRYSTAL AF) trial. Kaplan-Meier estimates were used to describe rates of AF detection at 12 months in patients with and without pre-specified imaging characteristics. Hazard ratios (HRs), 95% confidence intervals (CIs), and p values were calculated using Cox regression. Results: We did not find any pattern of acute brain infarction that was significantly associated with AF detection after CS. However, the presence of chronic brain infarctions (15.8 vs. 7.0%, HR 2.84, 95% CI 1.13-7.15, p = 0.02) or leukoaraiosis (18.2 vs. 7.9%, HR 2.94, 95% CI 1.28-6.71, p < 0.01) was associated with AF detection. There was a borderline significant association of AF detection with the presence of chronic territorial (defined as within the territory of a first or second degree branch of the circle of Willis) infarcts (20.9 vs. 10.0%, HR 2.37, 95% CI 0.98-5.72, p = 0.05). Conclusions: We found no evidence for an association between brain infarction pattern and AF detection using an ICM in patients with CS, although patients with coexisting chronic, as well as acute, brain infarcts had a higher rate of AF detection. Acute brain infarction topography does not reliably predict or exclude detection of underlying AF in patients with CS and should not be used to select patients for ICM after cryptogenic stroke.

Abstract P624: High Detection of Atrial Fibrillation by 90 Days Textil Holter Monitoring in Patients With Cryptogenic Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Jorge Pagola ◽  
Jesus Juega ◽  
Jaume Francisco ◽  
Maite Rodriguez ◽  
Juan Antonio Cabezas ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cumulative Incidence ◽  
Left Atrial ◽  
Cryptogenic Stroke ◽  
Left Atrial Volume ◽  
Holter Monitoring ◽  
Cardiac Monitoring ◽  
Atrial Volume ◽  
Monitoring Time ◽  
Number Of Patients

Introduction: External recorders allow for low-cost, non-invasive 1 to 4 weeks monitoring. However, the first 3 months of monitoring duration are the most effective to detect atrial fibrillation (AF). We show the results of the Thunder registry of patients monitored to detect AF during 90 days from the stroke. Methods: A prospective observational study was conducted with consecutive inclusion of patients with cryptogenic stroke after work up (neuroimaging, echocardiography and 24-hour cardiac monitoring) in 5 Comprenhensive Stroke Centers. Patients were continuously monitored for 90 days with a wearable Holter (Nuubo®) after the first 24 hours of the stroke onset. We analyzed the percentage of AF detection in each period (percentage of AF among those monitored), the quality of the monitoring (monitoring time), the percentage of AF by intention to monitor (detection of AF among patient included). Demographic, clinical and echocardiographic predictors of AF detection beyond one week of cardiac monitoring were assessed. Results: A total of 254 patients were included. The cumulative incidence of AF detection at 90 days was 34.84%. The monitoring time was similar among the 3 months (30 days: 544.9 hours Vs 60 days: 505.9 hours Vs 90 days: 591.25 hours) (p=0.512). The number of patients who abandoned monitoring was 7% (18/254). The cumulative percentage of intention to detect AF was 30.88% (Figure). Patients who completed monitoring beyond 30 days had higher score on the NIHSS basal scale (NIHSS 9 IQR 2-17) VS (NIHSS 3 IQR 1-9) (p=0.024). Patients with left atrial volume greater than 28.5ml/m2 had higher risk of cumulative incidence of AF according to the Kaplan Meyer curve beyond the first week of monitoring OR 2.72 (Log-rank (Mantel-Cox test) (p<0.001). Conclusions: In conclusion, intensive 90-day- Holter monitoring with textile Holter was feasible and detected high percentage of AF. Enlarged left atrial volume predicted AF beyond the first week of monitoring.

scholarly journals Predictors of Occult Paroxysmal Atrial Fibrillation in Cryptogenic Strokes Detected by Long-Term Noninvasive Cardiac Monitoring

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Archit Bhatt ◽  
Arshad Majid ◽  
Anmar Razak ◽  
Mounzer Kassab ◽  
Syed Hussain ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Paroxysmal Atrial Fibrillation ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
High Signal ◽  
Detection Rates ◽  
Non Invasive ◽  
Patient Reported ◽  
Premature Beats

Background and Purpose. Paroxysmal Atrial fibrillation/Flutter (PAF) detection rates in cryptogenic strokes have been variable. We sought to determine the percentage of patients with cryptogenic stroke who had PAF on prolonged non-invasive cardiac monitoring.Methods and Results. Sixty-two consecutive patients with stroke and TIA in a single center with a mean age of 61 (+/− 14) years were analyzed. PAF was detected in 15 (24%) patients. Only one patient reported symptoms of shortness of breath during the episode of PAF while on monitoring, and 71 (97%) of these 73 episodes were asymptomatic. A regression analysis revealed that the presence of PVCs (ventricular premature beats) lasting more than 2 minutes (OR 6.3, 95% CI, 1.11–18.92;P=.042) and strokes (high signal on Diffusion Weighted Imaging) (OR 4.3, 95% CI, 5–36.3;P=.041) predicted PAF. Patients with multiple DWI signals were more likely than solitary signals to have PAF (OR 11.1, 95% CI, 2.5–48.5,P<.01).Conclusion. Occult PAF is common in cryptogenic strokes, and is often asymptomatic. Our data suggests that up to one in five patients with suspected cryptogenic strokes and TIAs have PAF, especially if they have PVCs and multiple high DWI signals on MRI.

Ischaemic stroke: common causes

2017 ◽  
Author(s):  
Hugh Markus ◽  
Anthony Pereira ◽  
Geoffrey Cloud
Keyword(s):  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischaemic Stroke ◽  
Small Vessel Disease ◽  
Small Vessel ◽  
Large Artery ◽  
Lacunar Stroke ◽  
Vessel Disease ◽  
Common Causes ◽  
Artery Disease

This chapter on common causes of ischaemic stroke reviews the major pathologies underlying ischaemic stroke, namely large-artery disease, cardioembolism, and small-vessel disease. Large-vessel extra- and intracranial atherosclerotic cerebrovascular disease is covered. Cardioembolic aetiologies of stroke including atrial fibrillation and valvular heart disease are discussed. Small-vessel disease causing lacunar stroke and possible heterogonous pathologies underlying this subtype are covered. Dolichoectasia of arteries as a potential cause of stroke and the newer concept of embolic stroke of undetermined source are also discussed.

Sign in / Sign up

Export Citation Format

Share Document