Performance of Ambulatory Electrocardiographic Data for Prediction of Stroke and Heart Failure Events
The CHA<sub>2</sub>DS<sub>2</sub>-VASc performed modestly for prediction of stroke and HF events; predictive ability improved significantly with addition of LTCM ECG covariates. The presence of atrial fibrillation and ventricular ectopy on 14-day LTCM were strongly associated with HF events.
Authors
- Amy G. Clark (ORCID: https://orcid.org/0000-0001-9947-4334)
- Mintu P. Turakhia (ORCID: https://orcid.org/0000-0001-8025-0904)
- Sean D. Pokorney (ORCID: https://orcid.org/0000-0002-4345-0816)
- Evangelos Hytopoulos
- Hannah Schwennesen (ORCID: https://orcid.org/0000-0003-2410-7630)
- Jonathan Paul Piccini (ORCID: https://orcid.org/0000-0003-0772-2404)
- Bradley G. Hammill (ORCID: https://orcid.org/0000-0002-0389-6434)
- Zhen Li (ORCID: https://orcid.org/0000-0001-8917-9868)
- Justin Cambra
Institutions
- Duke University (US)
- Clinical Research Institute (US)
- Duke Medical Center (US)
- iRhythm (United States) (US)
Publication Details
- Journal
- JACC Advances
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1016/j.jacadv.2024.101340
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- American Heart Association
- Bristol-Myers Squibb
- Sanofi
- Gilead Sciences
- iRhythm Technologies
- Boston Scientific Corporation
- Pacira BioSciences