Association of Chronic Covert Cerebral Infarctions and White Matter Hyperintensities With Atrial Fibrillation Detection on Post-Stroke Cardiac Rhythm Monitoring: A Cohort Study.
Ulfrid AmbergerJulian LippertAdnan MujanovicMorin BeyelerBernhard Matthias SiepenJan VynckierAdrian ScutelnicMartina Béatrice GoeldlinDavid Julian SeiffgeSimon JungGralla JanMarcel ArnoldJohannes KaesmacherTobias ReichlinHildegard TannerUrs FischerLaurent RotenThomas Raphael MeinelPublished in: Journal of the American Heart Association (2022)
Background This study was conducted to explore the association of different phenotypes, count, and location of chronic covert brain infarctions (CBIs) with detection of atrial fibrillation (AF) on prolonged post-stroke cardiac rhythm monitoring (PCM). Methods and Results We conducted a cohort single-center study of consecutive first-ever ischemic stroke or transient ischemic attack patients undergoing PCM between January 2015 and December 2017. We blindly rated CBI phenotypes according to established definitions and white matter hyperintensities (WMHs) according to the age-related white matter changes rating scale. We used (multiple) regression models to assess the association of the imaging biomarkers and incident AF on PCM. A total of 795 patients (median [interquartile range]) aged 69 (57-78) years, 41% women, median National Institutes of Health Stroke Scale score 2 (0-5), median PCM duration 14 (7-14) days, and AF detection in 61 patients (7.7%) were included. On univariate analysis, WMHs (per point odds ratio, 1.35 [95% CI, 1.03-1.78]) but not CBIs (odds ratio, 0.90 [95% CI, 0.52-1.56]) were associated with AF detection. Neither CBI phenotype, count, nor location were associated with AF detection. After adjustment for age, hypertension, and stroke severity, neither increasing WMHs (per point adjusted odds ratio, 0.85 [95% CI, 0.60-1.20]) nor CBIs (adjusted odds ratio, 0.60 [95% CI, 0.33-1.09]) were independently associated with AF detection. Conclusions Although WMHs and CBIs represent surrogate biomarkers of vascular risk factors, neither WMHs nor CBIs, including their phenotypes, count, and location, were independently associated with AF detection on PCM. In patients with manifest ischemic stroke or transient ischemic attack, the presence of imaging biomarkers of chronic ischemic injury does not seem promising to further refine prediction tools for AF detection on PCM.
Keyphrases
- atrial fibrillation
- white matter
- catheter ablation
- left atrial
- oral anticoagulants
- loop mediated isothermal amplification
- left atrial appendage
- real time pcr
- direct oral anticoagulants
- label free
- risk factors
- percutaneous coronary intervention
- type diabetes
- ejection fraction
- cardiovascular disease
- metabolic syndrome
- newly diagnosed
- heart rate
- multiple sclerosis
- pregnant women
- prognostic factors
- mass spectrometry
- subarachnoid hemorrhage
- mental health
- peritoneal dialysis
- insulin resistance
- coronary artery disease
- patient reported outcomes
- risk assessment
- data analysis
- resting state
- functional connectivity
- climate change
- quality improvement
- psychometric properties
- cerebral blood flow