Trial Outcomes & Findings for Syncope Prediction Study (NCT NCT02140567)
NCT ID: NCT02140567
Last Updated: 2019-03-15
Results Overview
Number of tilt-positive participants predicted in the right way by the syncope prediction algorithm
COMPLETED
140 participants
Tilt Test with average duration of 1 hour
2019-03-15
Participant Flow
Participant milestones
| Measure |
Syncope Prediction Study
All enrolled participants who performed a tilt test.
|
|---|---|
|
Overall Study
STARTED
|
140
|
|
Overall Study
COMPLETED
|
134
|
|
Overall Study
NOT COMPLETED
|
6
|
Reasons for withdrawal
| Measure |
Syncope Prediction Study
All enrolled participants who performed a tilt test.
|
|---|---|
|
Overall Study
Problems with recording equipment
|
6
|
Baseline Characteristics
Syncope Prediction Study
Baseline characteristics by cohort
| Measure |
Syncope Prediction
n=134 Participants
Enrolled participants who performed tilt test and were included in efficacy analysis
|
|---|---|
|
Age, Continuous
|
37.2 years
STANDARD_DEVIATION 15.1 • n=5 Participants
|
|
Sex: Female, Male
Female
|
92 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
42 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: Tilt Test with average duration of 1 hourPopulation: Number of participants with positive tilt-test
Number of tilt-positive participants predicted in the right way by the syncope prediction algorithm
Outcome measures
| Measure |
Syncope Prediction (Sensitivity)
n=83 Participants
Tilt-positive participants included in the efficacy analysis
|
|---|---|
|
Sensitivity of the Syncope Prediction Algorithm
True positive
|
81 Participants
|
|
Sensitivity of the Syncope Prediction Algorithm
False negative
|
2 Participants
|
PRIMARY outcome
Timeframe: Tilt Test with average duration of 1 hourPopulation: Number of participants with negative tilt-test
Number of tilt-negative participants identified as negative by the syncope prediction algorithm
Outcome measures
| Measure |
Syncope Prediction (Sensitivity)
n=51 Participants
Tilt-positive participants included in the efficacy analysis
|
|---|---|
|
Specificity of the Syncope Prediction Algorithm
True negative
|
45 Participants
|
|
Specificity of the Syncope Prediction Algorithm
False positive
|
6 Participants
|
Adverse Events
Syncope Prediction
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Dr. Phang Boon Lim
Imperial College Healthcare NHS Trust in London, United Kingdom
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place