Home monitoring for hidden atrial fibrillation in people with hypertension

Home Monitoring for the Detection of Subclinical Atrial Fibrillation in Hypertensive Patients at Moderate to High Risk of Developing Arrhythmia. BP/AF MODE Study.

Observational Cardiovascular Research Center Rosario British Sanatorium · NCT07058831

This project will test whether using a home blood-pressure device that also records short ECGs can find hidden atrial fibrillation in older people with high blood pressure and other risk factors.

Quick facts

Study typeObservational
Enrollment499 (estimated)
Ages65 Years and up
SexAll
SponsorCardiovascular Research Center Rosario British Sanatorium Academic / other
Locations1 site (Rosario, Santa Fe Province)
Trial IDNCT07058831 on ClinicalTrials.gov

What this trial studies

This is a prospective, multicenter observational cohort across six Latin American countries that gives hypertensive patients an Omron Complete Hem-7530T device to record blood pressure and 30-second single-lead ECGs at home. Participants are older adults (>75 years, or 65–75 with specified risk factors) without prior atrial fibrillation and will perform at least twenty 30-second recordings over seven days. Data are entered into a secure web platform, and novel artificial-intelligence tools are used alongside ECG review to identify subclinical atrial fibrillation. The goal is to determine how useful routine home BP/ECG monitoring is for detecting asymptomatic AF in this higher-risk population.

Who should consider this trial

Good fit: Hypertensive adults aged over 75, or aged 65–75 with one or more specified risk factors (for example obesity, diabetes, sleep apnea, left ventricular hypertrophy, left atrial dilation, coronary disease, chronic kidney disease, HFpEF, alcohol use, or frequent supraventricular ectopy), who have no prior AF and are not on rhythm-altering medications.

Not a fit: People with a history of any atrial fibrillation, those taking drugs that affect heart rhythm, with prior malignant ventricular arrhythmias, uncontrolled thyroid disease, or significant COPD are excluded and are unlikely to benefit from this monitoring protocol.

Why it matters

Potential benefit: If successful, the approach could enable earlier detection of silent AF so patients can receive preventive care to reduce stroke risk.

How similar studies have performed: Prior work using single-lead ECGs, wearables, and AI algorithms has shown these tools can detect subclinical AF, so this study builds on accumulating supportive evidence rather than testing an entirely unproven concept.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 1\. Hypertensive patients of both sexes over 75 years of age. 2. Hypertensive patients between 65 and 75 years of age are associated with one of the following risk factors:

  1. Obesity
  2. Type 2 diabetes
  3. Obstructive sleep apnea syndrome
  4. Electrocardiogram showing left ventricular hypertrophy.
  5. Left ventricular hypertrophy on echocardiogram.
  6. Left atrial dilation.
  7. Coronary artery disease
  8. Chronic kidney disease
  9. Heart failure with ejection fraction \> 50%
  10. Alcohol intake
  11. Frequent supraventricular ectopic beats

Exclusion Criteria:

* 1\. History of any type of atrial fibrillation. 2. Receiving pharmacological treatments with potential impact on heart rhythm. 3. History of potentially malignant ventricular arrhythmias. 4. Uncontrolled hypothyroidism or hyperthyroidism. 5. Significant chronic obstructive pulmonary disease.

Where this trial is running

Rosario, Santa Fe Province

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Asymptomatic Atrial Fibrillationhypertensionatrial fibrillationhome monitoringartificial intelligence
Last reviewed 2026-06-10 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.