A Mobile Health Intervention in Pulmonary Arterial Hypertension
NCT ID: NCT03069716
Last Updated: 2021-06-25
Study Results
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View full resultsBasic Information
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COMPLETED
NA
49 participants
INTERVENTIONAL
2017-08-02
2020-04-24
Brief Summary
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Detailed Description
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The goal of this proposal is to adapt and test the feasibility of our mHealth intervention to increase physical activity in a geographically diverse PAH population. In secondary aims, we will assess conventional PAH trial outcomes (6MWD, quality of life) and physiologic mechanisms by which increasing activity may improve exercise capacity.
The investigator hypothesizes that an mHealth intervention is feasible and will increase physical activity in subjects with PAH. This study proposes a randomized trial of unblinded step tracking with smart texts tracking for 12 weeks. Participants will wear a display-free triaxial accelerometer, which will continuously transmit data to a compatible smartphone (owned by 75% of our PAH population). Efficacy endpoints have been selected to mirror FDA criteria for drug approval in PAH. The following aims will be tested:
Aim 1: To test the feasibility of an mHealth intervention to increase step counts in patients with PAH. Fifty PAH patients will be randomized to the mHealth intervention or usual activity for 12 weeks. The primary endpoint will be daily step count during Week 12. Secondary endpoints will assess step target achievement, daily activity time, and aerobic time. The fidelity of data collection and text transmission will also be assessed.
Aim 2: To examine the effect of an mHealth intervention on exercise capacity and quality of life. Participants will complete a six minute walk test and the emPHasis-10 questionnaire at baseline and 12 weeks. The primary endpoint will be six minute walk distance. Secondary endpoints will be emPHasis-10 quality of life scale score, Borg dyspnea score, and resting heart rate.
Aim 3: To examine the effect of an mHealth intervention on mechanisms of improved exercise capacity. Subjects will undergo echocardiography, blood draw, and body composition assessment. The primary endpoint will be RV longitudinal strain. Secondary endpoints will be the homeostatic model assessment of insulin resistance, lean muscle and fat mass, and B-type natriuretic peptide.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
TRIPLE
Study personnel conducting 6MWT and echo will be blinded.
Study Groups
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Smartphone Text Messaging
Group receives personalized, health coaching via "smart" text messages.
Smartphone Text Messaging
A HIPPA compliant text messaging platform is linked to the Fitbit Application Program Interface. Real time activity data will be transmitted from the subject's smartphone to our mHealth platform via cellular network. Subjects will receive 3 texts/day in sync with their preferred morning, lunch, and evening leisure schedule (defined at enrollment). These texts will use personal, disease-specific, and provider information to deliver 2 types of messages customized to the current step count and sent in equal proportion. Messages are designed to facilitate self-awareness, reinforce step targets, and link physical activity with a reward or memorable cue.
Fitbit Charge HR
The Fitbit Charge HR tri-axial accelerometer will be used to continuously gather data on physical activity, heart rate, and sleep. This device provides feedback in units of activity (steps, stairs climbed, activity time, and exercise time) and heart rate (per second when active, per 5 seconds when inactive). It has been validated against research devices in free-living conditions and is relatively inexpensive.
No Smartphone Text Messaging
Group does not receive personalized, health coaching via "smart" text messages.
Fitbit Charge HR
The Fitbit Charge HR tri-axial accelerometer will be used to continuously gather data on physical activity, heart rate, and sleep. This device provides feedback in units of activity (steps, stairs climbed, activity time, and exercise time) and heart rate (per second when active, per 5 seconds when inactive). It has been validated against research devices in free-living conditions and is relatively inexpensive.
Interventions
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Smartphone Text Messaging
A HIPPA compliant text messaging platform is linked to the Fitbit Application Program Interface. Real time activity data will be transmitted from the subject's smartphone to our mHealth platform via cellular network. Subjects will receive 3 texts/day in sync with their preferred morning, lunch, and evening leisure schedule (defined at enrollment). These texts will use personal, disease-specific, and provider information to deliver 2 types of messages customized to the current step count and sent in equal proportion. Messages are designed to facilitate self-awareness, reinforce step targets, and link physical activity with a reward or memorable cue.
Fitbit Charge HR
The Fitbit Charge HR tri-axial accelerometer will be used to continuously gather data on physical activity, heart rate, and sleep. This device provides feedback in units of activity (steps, stairs climbed, activity time, and exercise time) and heart rate (per second when active, per 5 seconds when inactive). It has been validated against research devices in free-living conditions and is relatively inexpensive.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Diagnosed with idiopathic, heritable, or associated (connective tissue disease, drugs, or toxins) pulmonary arterial hypertension (PAH) according to World Health Organization consensus recommendations.
3. Stable PAH-specific medication regimen for three months prior to enrollment. Subjects with only a single diuretic adjustment in the prior three months will be included.
4. Subjects must own a Bluetooth capable modern smartphone capable of receiving and sending text messages and an active data plan.
Exclusion Criteria
2. Pregnancy.
3. Diagnosis of PAH etiology other than idiopathic, heritable, or associated.
4. Forced vital capacity \<70% predicted.
5. Functional class IV heart failure.
6. Requirement of \> 1 diuretic adjustment in the prior three months.
7. Preferred form of activity is not measured by an activity tracker (swimming, yoga, ice skating, stair master, or activities on wheels such as bicycling or rollerblading).
18 Years
ALL
No
Sponsors
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Johns Hopkins University
OTHER
Vanderbilt University Medical Center
OTHER
Responsible Party
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Evan Brittain
Assistant Professor of Medicine
Principal Investigators
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Evan Brittain, MD, MSc
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University Medical Center
Locations
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Vanderbilt University Medical Center
Nashville, Tennessee, United States
Countries
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References
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Martin SS, Feldman DI, Blumenthal RS, Jones SR, Post WS, McKibben RA, Michos ED, Ndumele CE, Ratchford EV, Coresh J, Blaha MJ. mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion. J Am Heart Assoc. 2015 Nov 9;4(11):e002239. doi: 10.1161/JAHA.115.002239.
Pugh ME, Buchowski MS, Robbins IM, Newman JH, Hemnes AR. Physical activity limitation as measured by accelerometry in pulmonary arterial hypertension. Chest. 2012 Dec;142(6):1391-1398. doi: 10.1378/chest.12-0150.
Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, Stave CD, Olkin I, Sirard JR. Using pedometers to increase physical activity and improve health: a systematic review. JAMA. 2007 Nov 21;298(19):2296-304. doi: 10.1001/jama.298.19.2296.
Mereles D, Ehlken N, Kreuscher S, Ghofrani S, Hoeper MM, Halank M, Meyer FJ, Karger G, Buss J, Juenger J, Holzapfel N, Opitz C, Winkler J, Herth FF, Wilkens H, Katus HA, Olschewski H, Grunig E. Exercise and respiratory training improve exercise capacity and quality of life in patients with severe chronic pulmonary hypertension. Circulation. 2006 Oct 3;114(14):1482-9. doi: 10.1161/CIRCULATIONAHA.106.618397. Epub 2006 Sep 18.
Hemnes AR, Silverman-Lloyd LG, Huang S, MacKinnon G, Annis J, Whitmore CS, Mallugari R, Oggs RN, Hekmat R, Shan R, Huynh PP, Yu C, Martin SS, Blaha MJ, Brittain EL. A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest. 2021 Sep;160(3):1042-1052. doi: 10.1016/j.chest.2021.04.012. Epub 2021 Apr 17.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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IRB #162004
Identifier Type: -
Identifier Source: org_study_id
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