Hypertension: Prediction of Biofeedback Success

Study Overview
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Brief Summary
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Hypertension, present in more than 50 million Americans, increases the risk of cardiovascular disease and its associated complications. More persons are turning to alternative medicine to deal with their health problems. Biofeedback may reduce blood pressure and/or allow the reduction of antihypertensive medications in some patients, while having no adverse effects. Yet biofeedback therapy is time-intensive and technician-intensive. Therefore, it is critical to be able to predict which patients with essential hypertension are most likely to lower his/her blood pressure using these techniques. This research proposes to test three different means of predicting whether a hypertensive subject will or will not be successful in lowering his/her blood pressure using biofeedback. Sixty hypertensive subjects will be studied over a three-year period. The results of this study will enable those caring for hypertensive persons to recommend biofeedback in an individualized way, thereby promoting adherence.

Detailed Description
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In the next century, our health care system will attempt to manage chronic illness in the largest aging population ever known. Non-adherence to pharmacological therapy and to non-pharmacological therapy will prove very costly. Hypertension, present in more than 50 million Americans, increases the risk of cardiovascular disease and its associated morbidity and mortality. Thus is it critical that adherence to treatment of hypertension be increased. While medications are effective in certain patients, their adverse effects make compliance with treatment difficult to ensure. In addition, more and more persons are turning to alternative medicine to deal with their health problems. Biofeedback offers an alternative to medical treatment, having been shown to reduce both systolic and diastolic blood pressures and/or allow the reduction of antihypertensive medications in some patients, while having no adverse effects. Yet biofeedback therapy is time-intensive and technician-intensive. Therefore, it is critical to be able to predict which patients with essential hypertension are most likely to lower his/her blood pressure using these techniques. This research proposes to test three different means of predicting whether a hypertensive subject will or will not be successful in lowering his/her blood pressure using biofeedback. Specifically, the first set of predictive criteria to be tested is that proposed by Weaver & McGrady (1995). This model is derived from five variables: heart rate, finger temperature, forehead muscle tension, plasma rennin response to furosemide, and mean arterial pressure response to furosemide. The second prediction model is based on the magnitude of circadian variations in blood pressure as measured by 24-hour ambulatory blood pressure monitoring. The third prediction model is based on locus of control of behavior. A total of 60 hypertensive subjects will be studied over a three-year period. The results of this study will enable those caring for hypertensive persons to recommend treatment (i.e., biofeedback) in an individualized way, thereby promoting adherence.

Official Title
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Hypertension: Prediction of Biofeedback Success

Conditions
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Essential Hypertension

Intervention / Treatment
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* Behavioral: Biofeedback


Participation Criteria
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Eligibility Criteria
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essential hypertension stages 1 or 2 not taking beta blockers or central acting alpha agonists permission from primary care provider

Ages Eligible for Study
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Minimum Age: 21 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Allocation: Non-Randomized
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Intervention/Treatment |
| --- |
|Behavioral: Biofeedback|nan|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Hypertension, BIofeedback, Non-pharmacological treatment, Prediction