Effect of cardiac rehabilitation on 24-month all-cause hospital readmissions: A prospective cohort study
Bibliographic record
Abstract
BACKGROUND: Ageing populations and increasing survival following acute coronary syndrome has resulted in large numbers of people living with cardiovascular disease and at high risk of hospitalizations. Rising hospital admissions have a significant financial cost to the healthcare system. AIM: The purpose of this study was to determine whether cardiac rehabilitation is protective against long-term hospital readmission (frequency and length) following acute coronary syndrome. METHODS: Data from 416 Australian patients with acute coronary syndrome enrolled in the Anxiety Depression and heart rate Variability in cardiac patients: Evaluating the impact of Negative emotions on functioning after Twenty four months (ADVENT) prospective cohort study between January 2013-June 2014 was analyzed secondarily. Participants self-reported cardiac rehabilitation attendance over the 12 months post-discharge. All-cause readmission data were extracted from hospital records 24 months post-index event. The association between cardiac rehabilitation and all-cause readmission, frequency of readmissions, and length of stay was assessed using three methods (a) regression analysis, (b) propensity score matching, and (c) inverse probability treatment weighting. RESULTS: Overall, 416 patients consented (53% of eligible patients), of which 414 (99.5%) survived the first 30 days post-discharge and were included in the analysis. Medical records were located for 409 participants after 24 months (98% follow-up rate). In total, 267 (65%) reported attending cardiac rehabilitation; there were 392 readmissions by 239 patients. Cardiac rehabilitation attendance was not associated with all-cause hospital readmission; however, it was associated with lower frequency of hospital admissions (odds ratio 0.53, 95% confidence interval: 0.31-0.91 p-value:0.022) and length of stay (coefficient -1.21 days, 95% confidence interval: -2.46-0.26; marginally significant p-value: 0.055) in adjusted models. CONCLUSION: This study substantiates the long-term benefits of cardiac rehabilitation on readmissions, including length of stay, which would result in lower costs to the healthcare system.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".