Discrimination of P and T Waves With Linq and Holter
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|ClinicalTrials.gov Identifier: NCT02957006|
Recruitment Status : Unknown
Verified March 2018 by TriHealth Inc..
Recruitment status was: Recruiting
First Posted : November 6, 2016
Last Update Posted : March 23, 2018
Currently loop recorders diagnose arrhythmias and send automatic alerts to physicians based on R to R relationships only. We believe arrhythmia diagnostics could be improved if accurate detection of P and T waves as well as QRS complexes were possible.
There is no technique available for long term outpatient monitoring of QT intervals for patient at risk of torsade de pointes when receiving QT prolonging drugs. We believe that if an accurate T wave detection algorithm were developed loop recorders could be used to monitor the QT interval, and perhaps even provide alerts for patients at risk.
The objective of this study is to see if an algorithm can be developed to accurately define P and T waves using data from an implantable loop recorder.
|Condition or disease||Intervention/treatment|
|Arrhythmias, Cardiac||Device: Loop Recorder|
Pilot Study of 20 prospective cardiology patients with loop recorders currently implanted for standard clinical indications.
Eligible Subjects will be brought into the office of John Wilson, MD or Marshall Winner, MD. After informed consent is obtained from Hatton Research Staff the following will be performed:
- subjects will have an initial loop recorder download to USB flash drive
- 12 lead EKG
- Annotated QT intervals on a 30 second rhythm strip
- 24 hour Holter monitor placed by Hatton Research Staff in order to confirm the loop recorder data.
- Subjects will be instructed on the Holter monitors care and use.
- Subjects will be scheduled to come back to the office after 24 hours to return the Holter monitor and have a final loop recorder download completed.
- Data from the loop recorder, Holter monitor, 12 lead EKG, and 30 second rhythm strip will be downloaded and de-identified per Hatton Research Staff.
- All de-identified data from the initial loop recorder download, 12 lead EKG, 30 second rhythm strip, final loop recorder download, and Holter monitor will be sent to Medtronic for algorithm development.
Independent Variables: These variables include age and race Dependent Variables: These variables include the data from the loop recorder, 12 lead EKG, Holter monitor and 30 second rhythm strip.
Intervention or experimental aspect of the study Subjects will have a 12 lead EKG performed with 30 second rhythm strip Subjects will complete a period of 24 hours in which they will wear a Holter monitor applied by Hatton Research Staff.
- Descriptive statistics (mean, standard deviation) will be calculated for all continuous variables. Continuous variables will be compared using Student's - T test or ANOVA as appropriate.
- Frequency and percentages will be calculated for all categorical variables.
- Categorical data will be compared using chi square or Fisher's Exact Test as appropriate
- Data variables will be assessed by Hatton Research Specialist
|Study Type :||Observational|
|Estimated Enrollment :||20 participants|
|Official Title:||Discrimination of P and T-waves With Linq and Holter|
|Study Start Date :||October 2016|
|Estimated Primary Completion Date :||December 2018|
|Estimated Study Completion Date :||December 2018|
- Device: Loop Recorder
Observation of Loop Recorder implanted for clinical reasons
- If an accurate algorithm to detect P and T waves along with QRS recognition were developed implantable loop recorders arrhythmia diagnostic capabilities could be improved and expanded. This study will collect data for the development of such algorithms. [ Time Frame: Data analysis will be completed 1-2 months after enrollment complete ]
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02957006
|Contact: Lori Reid, MSN||(513)firstname.lastname@example.org|
|Principal Investigator:||John Wilson, MD||TriHealth Inc.|