Prevalence and Severity of Functional Capacity and Cognitive Health among Individuals Recovering from Post-acute Coronary Syndrome: a Cross-sectional Study
Bibliographic record
Abstract
Background: Individuals recovering from acute coronary syndrome (ACS) often experience persistent impairments in functional capacity and cognitive health, which may adversely affect recovery and quality of life. However, data examining the relationship between these domains during the post-acute phase remain limited. Objective: To determine the prevalence and severity of functional capacity and cognitive impairment among individuals recovering from post-acute ACS and to examine the association between functional capacity and cognitive health. Methods: This cross-sectional study included 120 clinically stable patients aged 40–75 years, evaluated 4–12 weeks after ACS. Functional capacity was assessed using the Six-Minute Walk Test (6MWT), and cognitive function using the Montreal Cognitive Assessment (MoCA). Correlation analysis was performed to examine the relationship between functional capacity and cognition. Results: Participants had a mean age of 58.7 ± 9.1 years, with 69.2% males. A substantial proportion demonstrated reduced functional capacity and mild cognitive impairment. A moderate positive correlation was observed between 6MWT distance and MoCA scores (p < 0.001). Conclusion: Reduced functional capacity and cognitive impairment are common in individuals recovering from post-acute ACS. The significant association between functional capacity and cognitive health highlights the importance of integrated cardiac rehabilitation strategies that address both physical and cognitive domains during recovery.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| 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".