Actively Recruiting
Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using a Smartwatch
Led by Federal University of Piaui · Updated on 2024-09-25
110
Participants Needed
1
Research Sites
212 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Implantable devices increase the detection of silent atrial fibrillation in high-risk populations, being a useful tool in the early diagnosis of these patients, allowing monitoring for a longer time. Currently, these devices can be used for monitoring and possible early diagnosis of abnormalities in order to prevent health complications and bring about better outcomes, as well as monitor the user's progress and thus prevent more serious developments. Objective: to analyze, in patients with cardiovascular disease, the electrocardiographic aspects detected from the device in comparison to the conventional electrocardiogram, identifying aspects of similarity between the tracings obtained and automatic diagnostic accuracy by the device and by the visual assessment of the tracing. Method: a cross-sectional observational study of diagnostic accuracy will be carried out at the University Hospital of the Federal University of Piaui. The following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the receiver operating characteristic curve of 94% and an equal proportion of the number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study. Patients aged ≥ 18 years will be included, with the presence of one or more diagnoses below: systemic arterial hypertension, heart failure, valvular disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pace or implantable automatic defibrillator. The variables analyzed will be: clinical-demographic data of the patients, including age, sex, race, socioeconomic profile; comorbidities and electrocardiographic findings as measured by the clock and conventional ECG. The data will be analyzed comparatively between the groups: 1 = EKG on the clock; 2 = 12-lead conventional EKG and DI (single lead). The primary outcome will be the positive diagnostic correlation of the data obtained in group 1 in relation to group 2. Secondary outcomes: successful measurement of the electrocardiographic record by the clock; diagnostic accuracy of atrial fibrillation and other heart rhythm disorders.
CONDITIONS
Official Title
Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using a Smartwatch
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older
- Diagnosis of one or more of the following: systemic arterial hypertension, heart failure, valve disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias
- Patients with cardiac pacemakers or implantable automatic defibrillators
- Followed up in cardiology sector, hospitalized or outpatient
You will not qualify if you...
- Poor quality electrocardiographic tracings from watch or conventional ECG that make diagnosis impossible or difficult
- Withdrawal of consent by the patient or guardian
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Carlos Eduardo B. de Lima
Teresina, Piauí, Brazil, 64048-350
Actively Recruiting
Research Team
C
Carlos Eduardo B. Lima, MD, PhD
CONTACT
C
Carlos Eduardo B. Lima, MD, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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