Longitudinal increase in physical activity and adverse cardiovascular outcomes following the diagnosis of acute coronary syndrome
Bibliographic record
Abstract
OBJECTIVES: Physical activity (PA) provides protective effects against cardiovascular diseases, including ischaemic heart disease. However, recommending moderate to vigorous PA (MVPA) to patients with recent acute coronary syndrome (ACS) raises concerns owing to potential risk of recurrent ACS or fatal arrhythmias. This study investigated the association between longitudinal PA changes following an ACS diagnosis and subsequent cardiovascular outcomes, including non-fatal coronary events, non-fatal stroke and cardiovascular mortality. METHODS: This longitudinal cohort study used Korean National Health Insurance Service data from 2010 to 2017, comprising 30 840 patients diagnosed with ACS following invasive coronary angiography or bypass surgery. Leisure-time PA was self-reported, with the frequency and intensity measured weekly. The primary endpoint was a composite of nonfatal coronary events, non-fatal stroke and cardiovascular mortality. Multivariable Cox proportional hazards regression models assessed the association between PA changes and cardiovascular outcomes. RESULTS: Among patients with ACS (mean age: 60±11 years, men: 81.3%), mean PA levels increased from 544±556 metabolic equivalent task (MET)-min/week to 594±567 MET-min/week. Over 6.7 years of median follow-up, 5639 cardiovascular events occurred. Increased PA was associated with lower cardiovascular event risk (HR 0.95, 95% CI 0.92 to 0.98). Consistent MVPA pre-ACS and post-ACS reduced cardiovascular event risk (HR 0.87, 95% CI 0.79 to 0.96) and MVPA initiation showed a modest risk reduction (HR: 0.91, MET-min/95% CI 0.82 to 1.01). CONCLUSIONS: Longitudinal increases in self-reported PA, maintenance of MVPA and possibly MVPA initiation after ACS reduced the risk of cardiovascular events. Initiating or maintaining MVPA could be an important strategy in improving cardiovascular outcomes following ACS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".