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OMRON Healthcare and UCSF Launch Clinical Trial to Detect Atrial Fibrillation Through Home Blood Pressure Monitoring

TL;DR

OMRON's new AFib detection algorithm in home blood pressure monitors gives users an early health advantage to prevent serious complications before they occur.

The OMRON-AF Trial will randomize 1,900 hypertension patients to test if home monitors with AFib algorithms improve early detection through routine blood pressure checks.

This research aims to reduce stroke and heart failure risk by integrating AFib screening into daily hypertension care, advancing preventive healthcare for society.

OMRON's study uses home blood pressure monitors to detect silent atrial fibrillation, potentially catching this dangerous condition during routine daily measurements.

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OMRON Healthcare and UCSF Launch Clinical Trial to Detect Atrial Fibrillation Through Home Blood Pressure Monitoring

OMRON Healthcare Co., Ltd. announced the launch of a randomized controlled trial in collaboration with the University of California, San Francisco to evaluate a new model for early detection of atrial fibrillation in hypertension patients using home blood pressure monitoring. The study, titled Out-of-office Monitoring for Rhythms Of Normal versus Atrial Fibrillation: A Randomized Controlled Trial, will enroll approximately 1,900 hypertension patients aged 60 and older who have risk factors for atrial fibrillation.

Atrial fibrillation is a common cardiac arrhythmia closely linked to aging and high blood pressure and is associated with significantly elevated risk of stroke, heart failure, and cardiovascular mortality. Up to 40% of individuals with AFib may experience no noticeable symptoms, allowing the condition to remain undiagnosed until serious complications occur. This silent nature of the condition presents a significant public health challenge that the OMRON-AF Trial aims to address.

The fully remote clinical study will randomize participants into two groups: one using a home blood pressure monitor equipped with OMRON's Intellisense AFib algorithm and the other using a standard monitor without AFib detection functionality. In cases where potential signs of AFib are detected during routine home blood pressure monitoring, participants will receive a wearable patch electrocardiogram device for confirmatory diagnosis. By integrating AFib screening into existing hypertension care pathways, the study aims to determine whether daily home blood pressure monitoring can improve early detection without increasing the burden on patients or healthcare systems.

Participants diagnosed with AFib will also be assessed for heart failure risk via NT-proBNP biomarker testing, while AF burden as measured via patch ECG will be analyzed against episode frequency recorded during home blood pressure monitoring. This approach will explore how home monitoring can support ongoing AFib management after diagnosis. The study represents an innovative approach to leveraging existing healthcare practices, as hypertension patients already regularly monitor their blood pressure at home.

"This collaboration with UCSF represents an important step toward integrating atrial fibrillation screening into routine hypertension management," said Ayumu Okada, President and CEO of OMRON Healthcare Co., Ltd. "By leveraging everyday home blood pressure monitoring habits, we aim to help reduce stroke and heart failure risk and advance our vision of 'Going for ZERO.'"

Professor Gregory Marcus of UCSF noted the study's methodological rigor, stating, "Unlike many other studies of various devices to screen for atrial fibrillation, we will be employing a randomized controlled trial, enabling a rigorous assessment that will test whether home blood pressure monitoring might be an effective tool to identify occult atrial fibrillation. This approach leverages common home-based evaluations that are already widely used in hypertension care."

The study will utilize remote recruitment and engagement through the OMRON Connect mobile app, representing an efficient approach that harnesses mobile app and smartphone-based technologies. Researchers hope this research will help establish a new model for more appropriately identifying atrial fibrillation in high-risk patients with hypertension and linking them to diagnosis and treatment, while also generating evidence that can be implemented in real-world clinical practice.

If successful, this approach could transform how atrial fibrillation is detected in aging populations, potentially preventing thousands of strokes and heart failure cases annually. The integration of AFib screening into routine hypertension management could create a more proactive healthcare model that identifies cardiovascular risks before they manifest as serious medical events. This research aligns with broader trends in digital health that seek to make preventive care more accessible and integrated into daily life.

Curated from NewMediaWire

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