Characteristics of patients with cryptogenic stroke and atrial fibrillation detected using insertable cardiac monitoring in the chronic phase: a subanalysis of the LOOK study - Report - MDSpire
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Characteristics of patients with cryptogenic stroke and atrial fibrillation detected using insertable cardiac monitoring in the chronic phase: a subanalysis of the LOOK study
Clinical Features of Patients with Late-Detected Atrial Fibrillation Following Cryptogenic Stroke
Overview
This study investigates the clinical characteristics of patients with late-detected atrial fibrillation (AF) following cryptogenic stroke. It highlights that patients with late-detected AF are generally older and have different risk profiles compared to those without AF detection.
Background
Cryptogenic stroke accounts for a significant proportion of ischemic strokes, and the detection of occult AF is crucial for secondary prevention. Understanding the characteristics of patients with late-detected AF can improve monitoring strategies and potentially enhance patient outcomes.
Data Highlights
Group
Age (years)
Hyperlipidemia (%)
Large-Vessel Occlusion (%)
D-dimer (μg/mL)
Late-detected AF
78
17.6
26.5
1.1
No-detected AF
66
39.5
10.5
0.7
Key Findings
AF was detected in 32.8% of patients with cryptogenic stroke.
Patients in the late-detected AF group were older (median age 78 years) compared to those without AF detection (66 years).
Lower rates of hyperlipidemia were observed in the late-detected AF group (17.6%) compared to the no-detected AF group (39.5%).
Higher rates of large-vessel occlusion were noted in the late-detected AF group (26.5%) versus the no-detected AF group (10.5%).
D-dimer levels were significantly higher in the late-detected AF group (1.1 μg/mL) compared to the no-detected AF group (0.7 μg/mL).
The modified Rankin Scale score before ICM implantation was lower in the late-detected AF group compared to the early-detected AF group.
Clinical Implications
These findings underscore the necessity for long-term rhythm monitoring in patients at risk for late-detected AF following cryptogenic stroke. Clinicians should consider the age and risk profiles of patients when determining monitoring strategies post-stroke.
Conclusion
The study emphasizes the distinct clinical characteristics of patients with late-detected AF, highlighting the importance of tailored monitoring approaches to improve detection and management of AF in this population.
