A NOVEL INTERVENTION FOR THE REHABILITATION OF PATIENTS WITH CORONARY ARTERY DISEASE
Bibliographic record
Abstract
BACKGROUND Traditional cardiac rehabilitation (TR) consists of continuous exercise (∼30 min) at 50–70% of heart rate reserve (HRR). The TR model has a beneficial effect upon the health status of a wide range of cardiac patients, including patients with coronary artery disease (CAD). However, high function CAD patients (i.e., VO2max > 9 METS) commonly express a desire to vary their exercise training regimen from TR. We have shown that interval training (INT) is an effective means to improve aerobic fitness in healthy males. We hypothesized that INT would also be a safe and effective alternative to TR for high function CAD patients. PURPOSE To evaluate the effects of TR and INT on the aerobic fitness of CAD patients. METHODS Patients with CAD (n = 10, VO2max = 9 ± 2(SD) METS, Age = 57 ± 8 yr) were matched (age, body mass and aerobic fitness) and randomly assigned to TR (n = 5) or INT (n = 5) for 30 min/day, 2 days/week for 16 weeks. The TR consisted of continuous exercise at 65% HRR. The INT consisted of 2 min work: 2 min recovery bouts (90% and 40% HRR, respectively). Measures of Bruce treadmill time to exhaustion (BTE), maximal heart rate and rate-pressure product (RPP), and time to exhaustion at 85% of VO2max on a treadmill (TTE) were taken pre- and post-training. RESULTS There were similar increases in BTE after 16 weeks of TR and INT (759 ± 114 vs. 872 ± 71 sec, and 813 ± 238 vs. 864 ± 211 sec, respectively, p < 0.05). The TTE was also improved to a similar extent after TR and INT (105 ± 27 vs. 303 ± 188 sec, and 133 ± 15 vs. 428 ± 215 sec, respectively, p < 0.05). There was no significant change in RPP or maximal heart rate after TR or INT. CONCLUSIONS Preliminary findings indicate that INT provides an effective means to improve the cardiovascular fitness and health status of patients with CAD. This has a great deal of implications for current cardiac rehabilitation practices since it affords greater training options to the cardiologist, clinical exercise specialist, and high function CAD patients alike.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".