Atrial Fibrillation Clinical Trial
Official title:
AF Stroke Substudy SL-ECG Versus 12lead ECG
NCT number | NCT03715361 |
Other study ID # | 18-078 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | October 9, 2018 |
Est. completion date | March 26, 2019 |
Verified date | March 2020 |
Source | RWTH Aachen University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The purpose of the study is to compare parameters obtained per SL-ECG with the values from 12lead-ECG measurement. Patients who undergo out- or inpatient treatment and who receive a 12lead-ECG are asked to participate in this examination. Furthermore, 50 patients without heart disease should be included (control group).
Status | Completed |
Enrollment | 550 |
Est. completion date | March 26, 2019 |
Est. primary completion date | March 26, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: - Patient is 18 years old, for minors the signature of the legal guardian is required. - Understanding of the essence, meaning and scope of the study. - Patients (in-/outpatient) who receive a 12lead ECG through Medical Clinic 1. - Volunteers who are willing to have a 12lead ECG and an SL-ECG performed and provide medical information. - Signed informed consent Exclusion Criteria: - Insufficient language skills - Limited cognitive abilities - Limited physical abilities (i.e. tremor) |
Country | Name | City | State |
---|---|---|---|
Germany | Uniklinium RWTH Aachen | Aachen | North-Rhine-Westphalia |
Lead Sponsor | Collaborator |
---|---|
RWTH Aachen University | Pfizer |
Germany,
Chugh SS, Blackshear JL, Shen WK, Hammill SC, Gersh BJ. Epidemiology and natural history of atrial fibrillation: clinical implications. J Am Coll Cardiol. 2001 Feb;37(2):371-8. Review. — View Citation
Lloyd-Jones DM, Wang TJ, Leip EP, Larson MG, Levy D, Vasan RS, D'Agostino RB, Massaro JM, Beiser A, Wolf PA, Benjamin EJ. Lifetime risk for development of atrial fibrillation: the Framingham Heart Study. Circulation. 2004 Aug 31;110(9):1042-6. Epub 2004 Aug 16. — View Citation
Schnabel RB, Wilde S, Wild PS, Munzel T, Blankenberg S. Atrial fibrillation: its prevalence and risk factor profile in the German general population. Dtsch Arztebl Int. 2012 Apr;109(16):293-9. doi: 10.3238/arztebl.2012.0293. Epub 2012 Apr 20. — View Citation
Stewart S, Hart CL, Hole DJ, McMurray JJ. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. Am J Med. 2002 Oct 1;113(5):359-64. — View Citation
Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke. 1991 Aug;22(8):983-8. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Comparison of the SL-ECG (hand-held diagnostic tool) with the 12lead-ECG (gold standard) to identify and evaluate cardiac arrhythmias. | The 12lead-ECG and the measurement of the hand-held diagnostic tool, performed by the proband/volunteer after the main examination, are crucial for the examination. The ECG hand-held diagnostic tool measures the heartbeat by analyzing the RR-intervals and gives a direct indication of irregularities through a red light after the measurement. Preliminary analyses showed a very good signal quality of the SL-ECG, therefore the times [s] and amplitudes [mV] of the P-wave, QRS-complex, T-wave, as well as the conduction and excitation shall be compared with each other and evaluated. | 12 Month | |
Secondary | Analysis of SL-ECGs and validation of prognostic factors based person-specific data and their medical history. | The descriptive analysis is performed comprehensively for the entire cohort and separately for people with known and newly discovered atrial fibrillation. The SL-ECG, person-specific data (e.g. age, BMI) and medical history (e.g. cardiovascular diseases, drug intake) are used to validate known prognostic factors and to find new prognostic factors. Continuous variables are summarized by calculating mean, median, standard deviation, quantiles and interquartile distances. For categorial variables, frequencies and percentages are calculated and tabulated. Based on these values, the raw incidence as well as age- and gender-specific incidences of atrial fibrillation can be calculated. | 12 Month |
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