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Published on: July 14, 2023
Cardiovascular Autonomic Function Changes and Predictors During a 2-Year Physical Activity Program in Rheumatoid
David Hupin1,2,3,4, Philip Sarajlic1,2, Ashwin Venkateshvaran2,5
1Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Guided physical activity improved autonomic function in rheumatoid arthritis (RA) patients, as measured by heart rate recovery (HRR). Benefits diminished with unsupervised activity, highlighting the importance of structured programs for cardiovascular disease (CVD) risk reduction in RA.
Area of Science:
- Rheumatology
- Cardiology
- Exercise Physiology
Background:
- Chronic inflammation in rheumatoid arthritis (RA) is linked to autonomic dysfunction and increased cardiovascular disease (CVD) risk.
- Autonomic nervous system (ANS) activity, particularly parasympathetic tone, can be assessed using heart rate recovery (HRR) post-exercise.
- Physical activity programs aim to improve ANS function and mitigate CVD risk in RA patients.
Purpose of the Study:
- To evaluate changes in HRR after a 2-year physical activity program in RA patients.
- To identify predictive factors for HRR changes during guided and unsupervised exercise phases.
- To assess the potential of HRR as a marker for physical activity effectiveness in RA.
Main Methods:
- A substudy of the PARA 2010 trial involving 25 RA participants.
- A 2-year program including 1 year of guided exercise and 1 year of unsupervised activity.
- Maximal exercise electrocardiogram (ECG) and HRR measurements at baseline, year 1, and year 2; machine learning models used for prediction.
Main Results:
- Heart rate recovery (HRR1 and HRR2) significantly increased after 1 year of guided physical activity.
- HRR significantly decreased from year 1 to year 2 with unsupervised physical activity.
- Exercise blood pressure response, low BMI, and muscular strength predicted HRR changes in both guided and unsupervised phases.
Conclusions:
- Guided physical activity positively impacts ANS function in RA patients, as indicated by HRR improvements.
- Machine learning effectively identified predictors of HRR response to exercise interventions.
- HRR is a valuable clinical marker for assessing physical activity effectiveness and CVD risk in RA patients, especially those who are inactive or have high CVD risk.
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