A nomogram for predicting atrial fibrillation detected after acute ischemic stroke

Pang, Muye; Li, Zhuanyun; Sun, Lin; Zhao, Naiqin; Lu, Hao

doi:10.3389/fneur.2022.1005885

Cited by 2 publications

(2 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some clinical differences were observed between KAF and ADFAS patients. Median NIHSS score was greater in AFDAS patients as noted in other [11,12] but not all [13] studies. The association remained significant after adjustment for confounding variables.…”

Section: Discussionsupporting

confidence: 50%

Prevalence and Characteristics of Known versus Newly Detected Atrial Fibrillation in Ischemic Stroke: A Population-Based Study

Mitaine,

Duloquin,

Pommier

et al. 2024

Neuroepidemiology

View full text Add to dashboard Cite

Background: Atrial fibrillation (AF) is frequently diagnosed during the acute stage of ischemic (IS), and it may reflect undiagnosed AF before stroke, thus representing a missed opportunity for stroke prevention. This population-based study aimed to assess the prevalence of known AF (KAF) and AF diagnosed early after IS (AFDAS), and to compare clinical and brain/arterial imaging characteristics between patients. Methods: Among patients with acute IS recorded in the population-based Dijon Stroke Registry, France (2013-2020), we identified those with KAF or AFDAS. AFDAS was considered when AF was diagnosed during the initial work-up based on electrocardiograms, in-hospital continuous electrocardiographic and/or Holter monitoring. Clinical and imaging characteristics on brain CT-scan or angio-CT-scan when available including old parenchymal lesions, arterial territory of the index IS, and aortic arch, cervical and intracranial arteries atheroma were compared between groups (KAF versus AFDAS). Regression logistic models were used to assess factors associated with AFDAS (compared to KAF). Results: Among 1756 IS patients, 550 (31.3%) had AF (mean age: 83.6 ±10.3 years old, 60.5% women), of whom 367 (66.7%) presented with KAF and 183 (33.3%) had AFDAS. In multivariable model, hypertension (OR=0.37; 95% CI: 0.21-0.64, p<0.001), chronic heart failure (OR=0.34; 95% CI: 0.18-0.67, p=0.002), previous stroke (OR=0.42; 95% CI: 0.26-0.67, p<0.001), and preexisting dementia (OR=0.36; 95% CI: 0.21-0.63, p<0.001), were inversely associated with AFDAS, whereas NIHSS score was associated with AFDAS (OR=1.02; 95% CI: 1.00-1.05, p=0.012). Conclusions: Our findings indicate a more advanced stage of the atrial cardiomyopathy in KAF as compared with AFDAS patients, and may thus contribute to the fact that in these latter patients AF had not been diagnosed prior to stroke. This group of patients undeniably represents a missed opportunity for stroke prevention.

show abstract

Section: Discussionsupporting

confidence: 50%

Prevalence and Characteristics of Known versus Newly Detected Atrial Fibrillation in Ischemic Stroke: A Population-Based Study

Mitaine,

Duloquin,

Pommier

et al. 2024

Neuroepidemiology

View full text Add to dashboard Cite

show abstract

“…Dynamic analysis of the RR interval performed in the hyperacute phase of AIS can help identify high-risk paroxysmal AF episodes [110]. Several predictive models have been developed for AFDAS [23,111]. Further, a study established a multimodal approach incorporating imaging, ECG, and original biomarkers [112].…”

Section: Early Prediction and Identification Of Shsmentioning

confidence: 99%

Stroke–heart syndrome: current progress and future outlook

Wang,

Ma,

Ren

et al. 2024

J Neurol

View full text Add to dashboard Cite

Stroke can lead to cardiac complications such as arrhythmia, myocardial injury, and cardiac dysfunction, collectively termed stroke–heart syndrome (SHS). These cardiac alterations typically peak within 72 h of stroke onset and can have long-term effects on cardiac function. Post-stroke cardiac complications seriously affect prognosis and are the second most frequent cause of death in patients with stroke. Although traditional vascular risk factors contribute to SHS, other potential mechanisms indirectly induced by stroke have also been recognized. Accumulating clinical and experimental evidence has emphasized the role of central autonomic network disorders and inflammation as key pathophysiological mechanisms of SHS. Therefore, an assessment of post-stroke cardiac dysautonomia is necessary. Currently, the development of treatment strategies for SHS is a vital but challenging task. Identifying potential key mediators and signaling pathways of SHS is essential for developing therapeutic targets. Therapies targeting pathophysiological mechanisms may be promising. Remote ischemic conditioning exerts protective effects through humoral, nerve, and immune-inflammatory regulatory mechanisms, potentially preventing the development of SHS. In the future, well-designed trials are required to verify its clinical efficacy. This comprehensive review provides valuable insights for future research.

show abstract

A nomogram for predicting atrial fibrillation detected after acute ischemic stroke

Cited by 2 publications

References 49 publications

Prevalence and Characteristics of Known versus Newly Detected Atrial Fibrillation in Ischemic Stroke: A Population-Based Study

Prevalence and Characteristics of Known versus Newly Detected Atrial Fibrillation in Ischemic Stroke: A Population-Based Study

Stroke–heart syndrome: current progress and future outlook

Contact Info

Product

Resources

About