Atrial Fibrillation Clinical Trial
Official title:
Atrial Fibrillation Registry for Ankle-brachial Index Prevalence Assessment: Collaborative Italian Study.
Atrial fibrillation (AF) is the most common sustained dysrhythmia encountered in clinical
practice in North America and Europe, accounting for approximately one-third of all
hospitalizations for a cardiac rhythm abnormality. The presence of AF markedly increases the
patient's risk for developing arterial embolism and stroke, depending on the presence of
other clinical conditions, such as hypertension and diabetes. AF is associated with a
fivefold increased risk for stroke, and is estimated to cause 15% of all strokes.
Patients with AF frequently have several risk factors for atherosclerosis, including
hypertension, diabetes, and dyslipidemia. Accordingly, systemic signs of atherosclerosis can
be detected in AF patients, and these likely accounts for an enhanced risk of coronary heart
disease. In addition to cerebrovascular disease, patients with AF may suffer from coronary
events including myocardial infarction (MI), but the rate of MI in AF patients seems to be
variable, but often underestimated.
Moreover, coexistence of peripheral arterial disease (PAD) is a relevant clinical sign of
systemic atherosclerosis.
Ankle-brachial index (ABI) is a simple, inexpensive, and non-invasive PAD measurement, even
at the pre-symptomatic phase when intervention can improve prognosis and prevent or delay
severe complications ABI is calculated by measuring the systolic blood pressure in the
posterior tibial and/or the dorsalis pedis arteries either in both legs or 1 leg chosen at
random (using a Doppler probe or alternative pulse sensor), with the lowest ankle pressure
then divided by the brachial systolic blood pressure. In addition to peripheral artery
disease, the ABI also is an indicator of generalized atherosclerosis because lower levels
have been associated with higher rates of concomitant coronary and cerebrovascular disease,
and with the presence of cardiovascular risk factors.
Two large studies in patients with AF document the existence of PAD in about 3-5% of
patients. It is possible, however, that such an incidence has been underestimated as only
symptomatic patients were considered as affected by PAD. As PAD is an important marker of
systemic atherosclerosis, its association with AF reinforces the concept that patients with
AF have systemic atherosclerosis that potentially account for coronary complications.
To date, a national registry of AF patients is not available to verify the real impact of
cardiovascular events in this clinical setting.
Study design: Prospective longitudinal study
Methods and Materials: The investigators planned to assess at baseline and at scheduled
follow up visits :
1. Ankle-Brachial Index measurement
2. Anamnestic clinical information and Anthropometric measurements
3. Echocardiogram (volume size), electrocardiogram (AF type)
4. Outcome events such as nonfatal or fatal acute myocardial infarction, target lesion or
vessel revascularization nonfatal or fatal ischemic stroke, transient ischemic attack,
death from any cardiac or vascular cause, death from any cause Study duration: 3 years
follow-up Statistical methods: The prevalence will be calculated by exact confidence
intervals (Wilson method). The cumulative incidence will be calculated by the
product-limit estimator of Kaplan-Meyer and presented with confidence intervals at 95%.
The incidences and prevalences will be then adjusted through appropriate multivariate
analysis (using the Cox proportional hazards model and logistic model) that will take
into account the effect of potential confounders. Similarly, the effect-center presence
will be checked and possibly removed. Secondary endpoints will be assessed by using
Log-rank test method, and by the Cox model (with time-dependent effects) multivariate
analysis.
Subgroups analysis will be also conducted for patients with first onset of AF or recurrent
AF Sample size: The investigators plan to include in the study n = 3,000 AF patients, with
competitive recruitment between centers involved in the study. The sample size was
calculated assuming an expected prevalence of 19% at time zero, and in order to obtain a
confidence interval 95% to prevail at time zero whose distance from the edge is less than or
equal to 1.4%. This sample size yields a power greater than 99.9% for the secondary
endpoint, assuming an event rate of 19% for patients with ABI <=0.9, and 10% for patients
with ABI >0.9.An interim analysis showed an ABI prevalence, calculated by exact confidence
intervals, of 21% in patients with AF, it is considered to interrupt the enrollment, as the
observed prevalence is greater than two percentage points higher than that assumed. The
sample size is amended as follows: a sample of 2027 patients leads to the expected
prevalence of 21% with a confidence interval width of 3.5. This sample size has no impact on
the power of the secondary objective.
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Observational Model: Cohort, Time Perspective: Prospective
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