Better Outcomes for Anticoagulation Treatment Through Observation of Atrial Rhythm

NCT ID: NCT03515083

Last Updated: 2023-06-12

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

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-07-17

Study Completion Date

2022-06-01

Brief Summary

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There is a need to determine actual compliance of direct oral anticoagulants and how to improve this to reduce risk of stroke in patients with atrial fibrillation. Mobile health tools have been implemented world-wide in various patient populations as means of reducing cardiovascular risk and improving disease management. Results of these interventions have been mixed with some interventions demonstrating significant improvement while others demonstrated no difference between the intervention group and the control group. More importantly, these studies indicate that implementation of mobile health tools is feasible in various patient populations and it may just be a matter of finding the correct intervention for a given disease state. The aim of this study is to increase awareness of atrial fibrillation as a means of improving compliance with anticoagulant medication.

Detailed Description

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The primary hypothesis of this study is that patients with atrial fibrillation will have improved compliance with apixaban therapy if they complete a daily measurement of heart rhythm via a smartphone electrocardiogram monitor, as compared to patients managed in a conventional manner.

Primary Endpoint

1. Primary Endpoint 1: is the percent compliance with apixaban therapy as measured by the amount of apixaban medication that was consumed per month. Compliance is defined as "the extent to which a patient acts in accordance with the prescribed interval and dose of a dosing regimen." Percent compliance will be measured as a continuous variable and strict cutoffs for 'compliant' and 'non-compliant' status will not be imposed.

Secondary Endpoints
2. Secondary Endpoint 1: is the number of deaths from any cause, stroke, and hospitalization for atrial fibrillation and/or congestive heart failure. Given the low numbers of patients in this study, this will be a composite endpoint of all of these outcomes, since there is insufficient sample size to examine each outcome individually.
3. Secondary Endpoint 2: is the self assessment of atrial fibrillation symptom severity through the use of a standardized scale.

While the secondary endpoints are not directly related to the primary endpoint, there is a possibility that the intervention may lead to changes in health maintenance behavior, which may lead to differences in the secondary endpoints. While this study may not be powered to differentiate between these secondary endpoints, if a trend is noted, this may be hypothesis generating for future studies.

Conditions

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Non-valvular Atrial Fibrillation

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Randomized, prospective
Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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Experimental

In the experimental group, each patient will be issued an AliveCor Kardia electrocardiogram monitor that is compatible with their smartphone. Patients will be instructed on the use of the monitor at the initial visit with the study nurse. The patient will submit daily electrocardiogram transmission via on online portal. The study nurse may contact them via text message to remind them to submit their recordings, if they forget.

The remainder of the treatment of the experimental group will be identical to the control group. At the conclusion of the study, the patient will complete their final atrial fibrillation symptom assessment scale. Their smartphone electrocardiogram monitor will be reviewed to ensure that all of the recordings were retrieved successfully.

Group Type EXPERIMENTAL

Alive Cor Kardia mobile electrocardiogram monitor

Intervention Type DEVICE

Mobile ECG monitor paired with smart phone application

Control

Patients in the control group would receive the standard of care treatment for atrial fibrillation, including cardioversion and ablation as indicated. At monthly visits with the study nurse, a smartphone electrocardiogram monitor will be used to record patient's heart rhythm. No other intervention would be performed during the monthly visit. It is necessary to meet the subject at least once per month to receive the previous month's supply of pills and provide them with the next month's supply of pills. If these subjects were met less frequently, it is possible that the previous month's supply of pills might be lost by the end of the study.

During the study, if the patient is taken off anticoagulation due to medical contraindication or after an ablation, they will continue to be followed monthly but will not receive apixaban medication.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Alive Cor Kardia mobile electrocardiogram monitor

Mobile ECG monitor paired with smart phone application

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Non-valvular atrial fibrillation that is either paroxysmal, persistent or permanent
2. CHA2DS2VASc score of 2 or more
3. Eligible for therapy with apixaban for at least 6 months
4. Possession of a smartphone capable of pairing with the AliveCor Kardia cardiac monitor

Exclusion Criteria

1. Contraindication to anticoagulation with apixaban for at least 6 months
2. No access to a smartphone capable of pairing with the AliveCor Kardia cardiac monitor
3. Unable to provide informed consent for this protocol
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Bristol-Myers Squibb

INDUSTRY

Sponsor Role collaborator

AliveCor

INDUSTRY

Sponsor Role collaborator

Saint Luke's Health System

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sanjaya Gupta, MD

Role: PRINCIPAL_INVESTIGATOR

Saint Luke's Health System

Locations

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Saint Luke's Health System

Kansas City, Missouri, United States

Site Status

Countries

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United States

References

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Cutler TW, Chuang A, Huynh TD, Witt RG, Branch J, Pon T, White R. A retrospective descriptive analysis of patient adherence to dabigatran at a large academic medical center. J Manag Care Spec Pharm. 2014 Oct;20(10):1028-34. doi: 10.18553/jmcp.2014.20.10.1028.

Reference Type BACKGROUND
PMID: 25278325 (View on PubMed)

Zhou M, Chang HY, Segal JB, Alexander GC, Singh S. Adherence to a Novel Oral Anticoagulant Among Patients with Atrial Fibrillation. J Manag Care Spec Pharm. 2015 Nov;21(11):1054-62. doi: 10.18553/jmcp.2015.21.11.1054.

Reference Type BACKGROUND
PMID: 26521117 (View on PubMed)

Shore S, Carey EP, Turakhia MP, Jackevicius CA, Cunningham F, Pilote L, Bradley SM, Maddox TM, Grunwald GK, Baron AE, Rumsfeld JS, Varosy PD, Schneider PM, Marzec LN, Ho PM. Adherence to dabigatran therapy and longitudinal patient outcomes: insights from the veterans health administration. Am Heart J. 2014 Jun;167(6):810-7. doi: 10.1016/j.ahj.2014.03.023. Epub 2014 Apr 5.

Reference Type BACKGROUND
PMID: 24890529 (View on PubMed)

Schulman S, Shortt B, Robinson M, Eikelboom JW. Adherence to anticoagulant treatment with dabigatran in a real-world setting. J Thromb Haemost. 2013 Jul;11(7):1295-9. doi: 10.1111/jth.12241.

Reference Type BACKGROUND
PMID: 23855420 (View on PubMed)

McHorney CA, Crivera C, Laliberte F, Nelson WW, Germain G, Bookhart B, Martin S, Schein J, Lefebvre P, Deitelzweig S. Adherence to non-vitamin-K-antagonist oral anticoagulant medications based on the Pharmacy Quality Alliance measure. Curr Med Res Opin. 2015 Dec;31(12):2167-73. doi: 10.1185/03007995.2015.1096242. Epub 2015 Oct 22.

Reference Type BACKGROUND
PMID: 26393483 (View on PubMed)

Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, Wong PK. Medication compliance and persistence: terminology and definitions. Value Health. 2008 Jan-Feb;11(1):44-7. doi: 10.1111/j.1524-4733.2007.00213.x.

Reference Type BACKGROUND
PMID: 18237359 (View on PubMed)

Piette JD, List J, Rana GK, Townsend W, Striplin D, Heisler M. Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management. Circulation. 2015 Nov 24;132(21):2012-27. doi: 10.1161/CIRCULATIONAHA.114.008723.

Reference Type BACKGROUND
PMID: 26596977 (View on PubMed)

Spertus J, Dorian P, Bubien R, Lewis S, Godejohn D, Reynolds MR, Lakkireddy DR, Wimmer AP, Bhandari A, Burk C. Development and validation of the Atrial Fibrillation Effect on QualiTy-of-Life (AFEQT) Questionnaire in patients with atrial fibrillation. Circ Arrhythm Electrophysiol. 2011 Feb;4(1):15-25. doi: 10.1161/CIRCEP.110.958033. Epub 2010 Dec 15.

Reference Type BACKGROUND
PMID: 21160035 (View on PubMed)

Tran AT, Okasha OM, Steinhaus DA, Yousuf OK, Giocondo MJ, Ramza BM, Wimmer AP, Gupta SK. Prospective evaluation of the effect of smartphone electrocardiogram usage on anticoagulant medication compliance. J Interv Card Electrophysiol. 2022 Nov;65(2):453-460. doi: 10.1007/s10840-022-01235-8. Epub 2022 May 5.

Reference Type DERIVED
PMID: 35513562 (View on PubMed)

Palmer MJ, Machiyama K, Woodd S, Gubijev A, Barnard S, Russell S, Perel P, Free C. Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults. Cochrane Database Syst Rev. 2021 Mar 26;3(3):CD012675. doi: 10.1002/14651858.CD012675.pub3.

Reference Type DERIVED
PMID: 33769555 (View on PubMed)

Other Identifiers

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CV185-584

Identifier Type: -

Identifier Source: org_study_id

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