A Program to Optimize the Detection of Paroxysmal Atrial Fibrillation: The RITMO Study
Atrial fibrillation (AF) is the most common sustained arrythmia, but still underdiagnosed especially among asymptomatic patients. To evaluate a simple strategy to optimize the identification of AF. Asymptomatic patients aged 65 years or older, with hypertension or heart failure (HF), were included....
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Veröffentlicht in: | Arquivos brasileiros de cardiologia 2024, Vol.121 (9), p.e20240235 |
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Sprache: | eng ; por |
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Zusammenfassung: | Atrial fibrillation (AF) is the most common sustained arrythmia, but still underdiagnosed especially among asymptomatic patients.
To evaluate a simple strategy to optimize the identification of AF.
Asymptomatic patients aged 65 years or older, with hypertension or heart failure (HF), were included. Data were inserted into the REDCap software platform. Patients were assessed for the risk for AF using the Stroke Risk Analysis (SRA) mathematical algorithm, which was applied on a one-hour electrocardiogram (ECG). All patients at high risk for AF were instructed to follow a home ECG protocol for seven days using a portable Kardia 6 (OMRON, AliveCor®). The Kolmogorov-test was used to test the normality of quantitative variables; those with normal distribution were expressed as mean and standard deviation. A p |
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ISSN: | 1678-4170 1678-4170 |
DOI: | 10.36660/abc.20240235 |