Effect of modular cardiac rehabilitation on quality of life, exercise tolerance and psychological status in patients with myocardial infarction and COVID-19 infection
Bibliographic record
Abstract
Abstract Funding Acknowledgements Type of funding sources: None. Introduction COVID-19 worsens the prognosis in patients with cardiovascular diseases, including myocardial infarction (MI). In connection with this, cardiac rehabilitation (CR) programs must be adapted for this category of post-infarction patients. Little is known on effect of CR on quality of life and anxiety and depression in patients with MI and COVID-19. Objective The aim of the study was to evaluate the use of a modular CR program on quality of life, excercise tolerance, anxiety and depression in post-infarction patients recovered from COVID-19 infection during a pandemic. Methods Overall, 86 patients with previous COVID-19 infection were included in this prospective longitudinal study. We evaluated the parameters of quality of life according to the Seattle questionnaire, exercise tolerance according to the six-minute walk test, and the depression and anxiety rating scale (HADS) before and after applying the modular CR program. Results According to the computed tomography (CT) classification, the severity class of lung lesions was: grade CT1 -23%, CT2-48%, CT3-23% and CT4-6%. When assessing the quality of life before the start of the modular CR -74% complained of episodic attacks of angina pectoris, while at the end of the CR, only 5% of had chest pain (p<0.05). Tolerance to physical activity according to the 6-minute walk test improved significantly from 245 ± 3.6 meters before CR to 355 ± 5.1 meters in dynamics (p=0.012). The depression and anxiety reduced significantly (p=0.0023) after CR: before the onset of modular CR 55% of patients were depressed in and 69% exhibited anxiety; after CR, depression in 10.4% of patients had depression and 7% - anxiety. Conclusions The use of a modular CR program in postinfarction patients with COVID-19 improves the quality of life, exercise tolearnce and psychological status.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".