Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing
Our peak oxygen uptake prediction model demonstrated strong performance using submaximal exercise variables. This methodology offers a means to assess prognostic markers for individuals who might not achieve maximal exhaustion during cardiopulmonary exercise testing.
Authors
- Alex Bui (ORCID: https://orcid.org/0000-0002-4702-1373)
- A. Rahrooh (ORCID: https://orcid.org/0000-0003-1451-6940)
- Jeffrey J. Hsu (ORCID: https://orcid.org/0000-0002-9971-5916)
- Jeffrey Feng
- Yonghun Lee
- Christopher B. Cooper
Institutions
- University of California, Los Angeles (US)
- VA Greater Los Angeles Healthcare System (US)
- Imaging Center (US)
- Ulsan National Institute of Science and Technology (KR)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1161/jaha.125.045734
- Primary Topic
- Cardiovascular and exercise physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00