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Trial Outcomes & Findings for Video-based Detection of Atrial Fibrillation (NCT NCT04267133)

NCT ID: NCT04267133

Last Updated: 2023-01-27

Results Overview

The outcome measure is the AUC of the curve obtained from the ROC analysis. The curve is a combination of specificity and sensitivity of detecting atrial fibrillation. The range of the curve is 0.5-1.0 where 0.5 would be random detection of atrial fibrillation and 1.0 would be perfect performance.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

256 participants

Primary outcome timeframe

2 weeks

Results posted on

2023-01-27

Participant Flow

Participant milestones

Participant milestones
Measure
All Participants
Facial video of detection of cardiac disease: This project proposes to evaluate a non-contact video recording technology to detect the presence of AF. The technology extracts a pulsatile signal by measuring the subtle variations in skin color of a patient's face (flushing) due to the variations of blood volume underneath the skin. The technology uses a standard web camera. This technique is videoplethysmography (VPG).
Overall Study
STARTED
256
Overall Study
COMPLETED
251
Overall Study
NOT COMPLETED
5

Reasons for withdrawal

Reasons for withdrawal
Measure
All Participants
Facial video of detection of cardiac disease: This project proposes to evaluate a non-contact video recording technology to detect the presence of AF. The technology extracts a pulsatile signal by measuring the subtle variations in skin color of a patient's face (flushing) due to the variations of blood volume underneath the skin. The technology uses a standard web camera. This technique is videoplethysmography (VPG).
Overall Study
Withdrawal by Subject
1
Overall Study
Adverse Event
4

Baseline Characteristics

Video-based Detection of Atrial Fibrillation

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
All Participants
n=255 Participants
Facial video of detection of cardiac disease: This project proposes to evaluate a non-contact video recording technology to detect the presence of AF. The technology extracts a pulsatile signal by measuring the subtle variations in skin color of a patient's face (flushing) due to the variations of blood volume underneath the skin. The technology uses a standard web camera. This technique is videoplethysmography (VPG).
Age, Continuous
65.2 years
STANDARD_DEVIATION 9.7 • n=5 Participants
Sex: Female, Male
Female
85 Participants
n=5 Participants
Sex: Female, Male
Male
170 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
245 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
6 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=5 Participants
Race (NIH/OMB)
Asian
0 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
2 Participants
n=5 Participants
Race (NIH/OMB)
White
249 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
2 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants
n=5 Participants
Region of Enrollment
United States
255 participants
n=5 Participants

PRIMARY outcome

Timeframe: 2 weeks

Population: We collected data for the AUC from 108 patients. We collected 977 recordings from these 108 patients.

The outcome measure is the AUC of the curve obtained from the ROC analysis. The curve is a combination of specificity and sensitivity of detecting atrial fibrillation. The range of the curve is 0.5-1.0 where 0.5 would be random detection of atrial fibrillation and 1.0 would be perfect performance.

Outcome measures

Outcome measures
Measure
All Participants
n=108 Participants
Facial video of detection of cardiac disease: This project proposes to evaluate a non-contact video recording technology to detect the presence of AF. The technology extracts a pulsatile signal by measuring the subtle variations in skin color of a patient's face (flushing) due to the variations of blood volume underneath the skin. The technology uses a standard web camera. This technique is videoplethysmography (VPG).
Area Under the Receiver Operating Characteristic Curve (AUC) for the Detection of Atrial Fibrillation
0.74 probability

Adverse Events

All Participants

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Jean-Philippe Couderc, PhD

University of Rochester

Phone: 585-275-1096

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place