Development and validation of clinical prediction models for cardiorespiratory fitness in atrial fibrillation patients following radiofrequency catheter ablation
Sex, BMI, NT-proBNP, glucose, 6MWD, and SBP are robust predictors of VO<sub>2peak</sub> and METs<sub>max</sub> in AF population after RFCA. This study generates and internal validates the first multivariable CRF prediction models with easy-to use clinical paraments in AF patients after RFCA, thereby providing safe and effective alternatives to conventional CPX, which may help to optimize personalized patient management.
Authors
- Jia Han (ORCID: https://orcid.org/0000-0003-3071-420X)
- Doa El‐Ansary (ORCID: https://orcid.org/0000-0003-3069-3509)
- Guiling Zhao (ORCID: https://orcid.org/0000-0001-5084-7152)
- Roger Adams (ORCID: https://orcid.org/0000-0003-1465-1413)
- Shu Meng (ORCID: https://orcid.org/0000-0002-0653-2644)
- Jian Sun (ORCID: https://orcid.org/0000-0003-1542-4220)
- Yi‐Gang Li
- Mengmeng Song
- Qian-Ji Che
- Wenqing Xu (ORCID: https://orcid.org/0000-0001-8199-9693)
Institutions
- The University of Melbourne (AU)
- Shanghai Jiao Tong University (CN)
- University of Canberra (AU)
- Shanghai University of Sport (CN)
- XinHua Hospital (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai University of Medicine and Health Sciences (CN)
- Shuguang Hospital (CN)
- RMIT University (AU)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fcvm.2025.1659905
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00