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REVEAL AF: Incidence of AF in High Risk Patients

REVEAL AF: Incidence of AF in High Risk Patients

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01727297
Enrollment
446
Registered
2012-11-15
Start date
2012-11-13
Completion date
2017-01-30
Last updated
2018-04-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Brief summary

This study is to determine, through continuous monitoring with the Reveal implantable cardiac monitor (ICM), the incidence of atrial fibrillation (AF) in patients suspected to be at high risk for having AF and to understand how physicians manage these patients after AF has been detected. This study will also seek to identify what patient characteristics are most predictive of developing AF.

Interventions

DEVICEREVEAL Implantable Cardiac Monitor

Sponsors

Medtronic Cardiac Rhythm and Heart Failure
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patient meets the approved indications to receive the Reveal ICM * Patient is suspected, based on symptomatology and/or demographics, of having atrial fibrillation or at high risk of having AF, as determined by the clinical investigator * Patient has a Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, prior Stroke or transient ischemic attack (TIA) or thromboembolism (doubled) (CHADS2) score ≥ 3 OR has a CHADS2 score = 2 with at least one of the following documented: renal impairment (GFR 30-60 ml/min), sleep apnea, coronary artery disease, or chronic obstructive pulmonary disease. Note: stroke/TIA criterion as part of the CHADS2 score for this trial is limited to either an ischemic stroke or TIA, which occurred more than one year prior to enrollment. * Patient is 18 years of age or older * Patient has a life expectancy of 18 months or more * Patient, or legally authorized representative, is willing to sign and date the consent form * Patient is willing and able to be remotely monitored (i.e., eligible for enrollment into the Medtronic CareLink Network)

Exclusion criteria

* Patient has a documented history of AF or atrial flutter * Patient had an ischemic stroke or TIA within past year prior to enrollment * Patient has a history of a hemorrhagic stroke * Patient is currently implanted with an implantable pulse generator (IPG), implantable cardioverter defibrillator (ICD), cardiac resynchronization therapy pacemaker (CRT-P), or cardiac resynchronization therapy defibrillator (CRT-D) device * New York Heart Association (NYHA) Class IV Heart Failure patient * Patient had heart surgery within previous 90 days prior to enrollment * Patient had a myocardial infarction (MI) within the previous 90 days prior to enrollment * Patient is taking chronic immuno-suppressant therapy * Patient is taking an anti-arrhythmic drug * Patient is contraindicated for long term anticoagulation medication * Patient is taking a long-term anticoagulation medication * Any concomitant condition which, in the opinion of the investigator, would not allow safe participation in the study (e.g., drug addiction, alcohol abuse, emotional / psychological diagnosis) * Patient is enrolled in another study that could confound the results of this study, without documented pre-approval from Medtronic study manager * Patient has a creatinine clearance \<30 ml/min or is on dialysis

Design outcomes

Primary

MeasureTime frameDescription
18 Month Incidence Rate of Atrial Fibrillation (AF) Lasting Six or More MinutesImplant to 18 months post device insertionIncidence of adjudicated AF lasting six or more minutes at 18 months. Each arrhythmic episode detected by the patient's Reveal device will be reviewed to determine if it is 1) an actual atrial fibrillation episode, and (2) is at least 6 minutes in duration. The first such episode per patient occurring within 18 months will be utilized to determine the 18 month incidence rate.

Secondary

MeasureTime frameDescription
Predictors of the Incidence of AFTime from implant to date of last stored available device data (maximum of 30 months)AF will be defined as in the primary outcome. Baseline characteristics including demographics, medical history, and biomarkers at enrollment will be tested for their association with a patient's risk of developing AF.
Actions Taken in Response to Awareness of AFTime from first identified episode of AF to study exit (maximum of 30 months)Clinical actions taken in response to clinician awareness of a patient's AF onset or progression will be summarized

Countries

Austria, Germany, Italy, Netherlands, Slovenia, Spain, United States

Participant flow

Pre-assignment details

Patients in the 'No Reveal Implantable Cardiac Monitor Implant Attempt' arm were exited from the study prior to an implant attempt. Therefore, no outcome data are available. Baseline data are not presented due to variable data collection before the time of exit. Adverse event data were collected for this cohort, and are reported below.

Participants by arm

ArmCount
Reveal Implantable Cardiac Monitor Implant Attempted
Enrolled subjects who had a Reveal Implantable Cardiac Monitor implant attempt (i.e. underwent the procedure to have a Reveal device implanted)
395
Total395

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyAdverse Event31
Overall StudyDeath130
Overall StudyLost to Follow-up110
Overall StudyOther (e.g. AF detection pre-implant)298
Overall StudyPhysician Decision195
Overall StudyProtocol Violation110
Overall StudyWithdrawal by Subject2627

Baseline characteristics

CharacteristicReveal Implantable Cardiac Monitor Implant Attempted
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
307 Participants
Age, Categorical
Between 18 and 65 years
88 Participants
Age, Continuous71.6 years
STANDARD_DEVIATION 9.8
Region of Enrollment
Austria
18 participants
Region of Enrollment
Germany
39 participants
Region of Enrollment
Italy
19 participants
Region of Enrollment
Netherlands
6 participants
Region of Enrollment
Slovenia
4 participants
Region of Enrollment
Spain
7 participants
Region of Enrollment
United States
302 participants
Sex: Female, Male
Female
188 Participants
Sex: Female, Male
Male
207 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
13 / 3950 / 51
other
Total, other adverse events
34 / 3951 / 51
serious
Total, serious adverse events
153 / 3951 / 51

Outcome results

Primary

18 Month Incidence Rate of Atrial Fibrillation (AF) Lasting Six or More Minutes

Incidence of adjudicated AF lasting six or more minutes at 18 months. Each arrhythmic episode detected by the patient's Reveal device will be reviewed to determine if it is 1) an actual atrial fibrillation episode, and (2) is at least 6 minutes in duration. The first such episode per patient occurring within 18 months will be utilized to determine the 18 month incidence rate.

Time frame: Implant to 18 months post device insertion

Population: This analysis only included patients who received an implantable cardiac monitor, met all inclusion/exclusion criteria, and had device data available. Of the 395 participants who underwent an implant attempt, 1 attempt was unsuccessful, 7 subjects did not meet all inclusion/exclusion criteria, and 2 subjects had no post-implant device data.

ArmMeasureValue (NUMBER)
Primary Objective Analysis Cohort18 Month Incidence Rate of Atrial Fibrillation (AF) Lasting Six or More Minutes29.3 percent of participants
Secondary

Actions Taken in Response to Awareness of AF

Clinical actions taken in response to clinician awareness of a patient's AF onset or progression will be summarized

Time frame: Time from first identified episode of AF to study exit (maximum of 30 months)

Population: Each visit represents the number of subjects who had a 1st, 2nd, 3rd visit, etc. in which AF was identified by the physician. Subjects in the Sixth Visit with AF Detected column had 6 visits in which AF was detected by the physician, and the column reflects the actions taken at that sixth visit.

ArmMeasureCategoryValue (COUNT_OF_UNITS)
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFAblation0 Actions at Visits
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFReferral to Another Physician5 Actions at Visits
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFCardioversion2 Actions at Visits
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFRate Control Medication Initiated4 Actions at Visits
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFOral Anticoagulation Initiated61 Actions at Visits
Primary Objective Analysis CohortActions Taken in Response to Awareness of AFRhythm Control Medication Initiated13 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFAblation2 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFCardioversion2 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFReferral to Another Physician0 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFRate Control Medication Initiated3 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFOral Anticoagulation Initiated5 Actions at Visits
AF Predictors Analysis Cohort: No AF EpisodesActions Taken in Response to Awareness of AFRhythm Control Medication Initiated2 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFCardioversion1 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFRhythm Control Medication Initiated0 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFRate Control Medication Initiated2 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFAblation3 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFReferral to Another Physician0 Actions at Visits
Third Visit With AF DetectedActions Taken in Response to Awareness of AFOral Anticoagulation Initiated0 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFRate Control Medication Initiated1 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFOral Anticoagulation Initiated1 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFRhythm Control Medication Initiated1 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFCardioversion0 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFAblation1 Actions at Visits
Fourth Visit With AF DetectedActions Taken in Response to Awareness of AFReferral to Another Physician0 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFAblation0 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFReferral to Another Physician0 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFCardioversion0 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFOral Anticoagulation Initiated2 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFRate Control Medication Initiated0 Actions at Visits
Fifth Visit With AF DetectedActions Taken in Response to Awareness of AFRhythm Control Medication Initiated0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFCardioversion0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFAblation0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFRate Control Medication Initiated0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFReferral to Another Physician0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFOral Anticoagulation Initiated0 Actions at Visits
Sixth Visit With AF DetectedActions Taken in Response to Awareness of AFRhythm Control Medication Initiated0 Actions at Visits
Secondary

Predictors of the Incidence of AF

AF will be defined as in the primary outcome. Baseline characteristics including demographics, medical history, and biomarkers at enrollment will be tested for their association with a patient's risk of developing AF.

Time frame: Time from implant to date of last stored available device data (maximum of 30 months)

Population: This analysis only included patients who received an implantable cardiac monitor, were not on antiarrhythmic medications at baseline, and had device data available. Of the 395 participants who underwent an implant attempt, 1 attempt was unsuccessful, 1 subject was on antiarrhythmic medication, and 2 subjects had no post-implant device data.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Primary Objective Analysis CohortPredictors of the Incidence of AFFamily history of AF5 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFHeart failure31 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFHypertension122 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFPrior stroke > 1 year ago23 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFCoronary artery disease75 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFSleep apnea28 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFVascular disease25 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFGender (Male)67 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFDiabetes80 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFRenal impairment60 Participants
Primary Objective Analysis CohortPredictors of the Incidence of AFChronic obstructive pulmonary disorder19 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFSleep apnea75 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFVascular disease54 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFHeart failure50 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFChronic obstructive pulmonary disorder57 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFHypertension244 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFRenal impairment106 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFPrior stroke > 1 year ago56 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFGender (Male)138 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFCoronary artery disease157 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFDiabetes168 Participants
AF Predictors Analysis Cohort: No AF EpisodesPredictors of the Incidence of AFFamily history of AF3 Participants
Comparison: The null hypothesis was that age did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: <0.00195% CI: [1.05, 1.11]Regression, Cox
Comparison: The null hypothesis was that body mass index (BMI) did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.0295% CI: [1.01, 1.08]Regression, Cox
Comparison: The null hypothesis was that gender did not influence a patient's risk of experiencing AF (it's coefficient for being male in a Cox proportional hazards model was 0).p-value: 0.5695% CI: [0.77, 1.61]Regression, Cox
Comparison: The null hypothesis was that diabetes did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.6695% CI: [0.74, 1.59]Regression, Cox
Comparison: The null hypothesis was that heart failure did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.7395% CI: [0.69, 1.69]Regression, Cox
Comparison: The null hypothesis was that hypertension did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.5895% CI: [0.58, 2.6]Regression, Cox
Comparison: The null hypothesis was that renal impairment did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.6595% CI: [0.64, 1.32]Regression, Cox
Comparison: The null hypothesis was that Chronic obstructive pulmonary disease (COPD) did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.2295% CI: [0.45, 1.2]Regression, Cox
Comparison: The null hypothesis was that prior stroke more than one year pre-device implant did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.5395% CI: [0.54, 1.38]Regression, Cox
Comparison: The null hypothesis was that coronary artery disease did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.2195% CI: [0.53, 1.15]Regression, Cox
Comparison: The null hypothesis was that sleep apnea did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.1995% CI: [0.45, 1.17]Regression, Cox
Comparison: The null hypothesis was that family history of AF did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.1695% CI: [0.76, 5.14]Regression, Cox
Comparison: The null hypothesis was that vascular disease did not influence a patient's risk of experiencing AF (it's coefficient in a Cox proportional hazards model was 0).p-value: 0.6395% CI: [0.56, 1.43]Regression, Cox

Source: ClinicalTrials.gov · Data processed: Feb 26, 2026