Evaluation of a Non-Invasive Electrocardiogram-Assisted Blood Pressure Monitor

NCT ID: NCT02053623

Last Updated: 2017-02-24

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

TERMINATED

Total Enrollment

3 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-04-02

Study Completion Date

2015-07-02

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Approximately one billion people suffer from hypertension worldwide. At least 10% of this population, that is, 100 million people, also suffers from associated chronic conditions namely, atrial fibrillation (AF), obesity, arterial stiffness (AS), and heart failure (HF). Personal interaction with medical practitioners (doctors) and review of published clinical research confirms that current non-invasive automatic blood pressure (BP) monitors that rely on BP pulse analysis alone cannot provide accurate measurement due to the unpredictable/weak nature of BP pulses in the above-mentioned chronic conditions. Lack of accuracy in BP estimation can lead to wrong diagnoses and hence to complications such as stokes and heart attacks.

The Sponsor is developing a novel non-invasive BP monitor that is similar to existing automatic monitors yet is capable of acquiring and analyzing electrocardiogram (ECG) data in conjunction with BP pulse data to provide better and more accurate measurements in the above chronic conditions.

The objective of this clinical trial is to evaluate the performance of this ECG-assisted BP monitor against invasive BP measurements in a small group of patients who suffer from the above conditions.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Hypertension Atrial Fibrillation Obesity Heart Failure Atherosclerosis

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Patients undergoing an angiography in the catheterization lab who also suffer from at least one of the following chronic conditions:

* Established diagnosis of AF.
* Obesity characterized by a BMI \> 40 (extremely high, Class III).
* Established diagnosis of AS.
* Established diagnosis of HF.
2. Age ≥ 18 years.

Exclusion:

1. Patients unwilling or unable to comply with study requirements.
2. Failure to sign the informed consent form.
3. Age \< 18 years.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Health Parametrics Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

University of Ottawa Heart Institute

Ottawa, Ontario, Canada

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Canada

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

HPI-219939

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.