The long-term follow-up of atrial fibrillation-specific quality of life following moderate-to-vigorous intensity continuous and high-intensity interval training programs
Bibliographic record
Abstract
Abstract Background High-intensity interval training (HIIT) has been shown to produce similar improvements in functional capacity and general quality of life (QoL), and a decrease in the Atrial Fibrillation Severity Scale (AFSS) symptom scores of patients with atrial fibrillation (AF), when compared with standard care moderate-to-vigorous intensity continuous training (MICT). However, the long-term effects of exercise programs on disease-specific QoL of patients with AF are unclear. Understanding the long-term effect of exercise programs on symptoms and quality of life is essential to improve the management of the unique needs of patients with AF. Purpose To assess the long-term effects of 12 weeks of HIIT- and MICT-based cardiovascular rehabilitation (CR) on disease-specific QoL in patients with persistent and permanent AF. Methods A randomized clinical trial with patients with persistent and permanent AF randomized (1:1) to either 12 weeks of MICT or HIIT. Disease-specific QoL was assessed using the AFSS, a 19-item self-report validated questionnaire with the following subscales: (1) global well-being, (2) AF total burden (comprising frequency, duration, and severity of AF), and (3) AF symptom score in the previous four weeks. A linear mixed-effect model with repeated measures over time (i.e., baseline, week 12, week 26, 1-year, and 2-year) was used to examine the main effects of time, group, and time by group interactions. The maximum likelihood estimation method was used to address missingness. A p-value of < 0.05 was set for statistical significance. Results The study included 86 participants (mean [SD] age, 69[8] years; 57[66.3%] males). The global well-being scores varied significantly (Time F=17.4, p<0.001) across the two years, irrespective of the exercise program, with a significant decrease at week 26, when compared to week 12 (p<0.001, mean difference[MD]=-5.0 pts) and baseline (p<0.001, MD=-4.6 pts). Next, global well-being increased in years 1 and 2 to similar values from week 12. The frequency of AF was significantly lower (Time F=23.6, p<0.001) at week 26 when compared to week 12 (p<0.001, MD = -0.9 pts), but increased at year 1 (p<0.001, MD=2.4 pts). AF symptom score (Time F=5.0, p=0.004) was lower at week 26 when compared to baseline (p=0.03, MD=-2.6 pts). A significant time by group interaction was observed for AF total burden (F=3.1, p=0.01). Both groups presented a decrease in AF total burden from week 12 to week 26 (p<0.001 both, HIIT MD=-6.4 points; MICT MD=-7.8 pts), followed by an increase to year 1 (p<0.001 both, HIIT MD=6.6 pts; MICT MD=8.0 pts). From year 1 to 2, AF total burden decreased only in HIIT (p<0.001, MD=-5.6 pts). There were no significant changes in the severity and duration of AF. Conclusion No long-term decreases in global well-being or AF symptoms for both groups, although a more pronounced reduction in AF total burden was observed in the HIIT group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".