Patient Characteristics for Atrial Fibrillation Detection Methods After Stroke

Kwanju Song's 2026 figshare publication analyzes 182 patients with embolic stroke of undetermined source (ESUS) newly diagnosed with atrial fibrillation (AF). It compares patient characteristics like diabetes prevalence and left atrial diameter across three cardiac monitoring methods: continuous electrocardiography monitoring (CEM), Holter, and implantable loop recorders (ILR). The study identifies factors independently associated with AF detection via short-term monitoring.

Use Cases

• Model the association between diabetes status and AF detection method (CEM, Holter, ILR) using logistic regression.
• Analyze the relationship between left atrial diameter (LAD) measurements and the likelihood of AF detection via short-term versus long-term monitoring.
• Investigate how white blood cell (WBC) count correlates with the odds of AF detection through continuous stroke-unit electrocardiography monitoring.
• Compare the prevalence of current smoking across patient groups categorized by their method of AF diagnosis.

Strengths

• Includes data from 182 patients with ESUS who were newly diagnosed with AF.
• Reports specific prevalence percentages for diabetes across three monitoring groups (40.2%, 16.4%, 56.5%).
• Provides multivariable analysis results with odds ratios and confidence intervals for key factors like LAD and WBC count.

Limitations

• The dataset is extremely small at 19.9 KB, containing summary results from a study rather than raw patient-level data.
• No column definitions or sample data are provided, limiting direct analytical use.
• Geographic and institutional origins of the patient cohort are unspecified, potentially limiting generalizability.

Provenance

Source

figshare, author Kwanju Song.

Collection Method

Clinical study of patients with ESUS diagnosed with AF via CEM, Holter monitoring, or ILR.

Time Range

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Freshness

Last updated March 2026.

Geography

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