Depression predicts delayed return to daily activities in patients post-cardiac surgery: a prospective observational study
Bibliographic record
Abstract
BACKGROUND: Depression significantly impacts recovery and return to daily activities in cardiac surgery patients. Assessing and managing depressive symptoms before and after surgery are crucial for improving surgical outcomes and timely return to daily activities, including work. The objectives of this study were to examine differences in patients' depression levels in relation to their return to daily activities in the early post-cardiac surgery period, and to assess predictors of delayed return to daily activities. METHODS: This single-centered study assessed return to independence, social participation, hobbies, and work in 100 cardiac surgical patients at 2 and 6 weeks post-surgery. Associations between depression levels and return to daily activities scores were evaluated. RESULTS: Higher Center for Epidemiologic Studies Depression Scale (CES-D) scores were significantly associated with delayed return to daily activities in all categories at both 2 and 6 weeks post-surgery. Specifically, higher depression score delayed return to independence and social participation at 2 weeks, and delayed return to independence, social participation, and return to work at 6 weeks. CONCLUSION: Elevated depression scores are significantly associated with delayed return to daily activities post-cardiac surgery, indicating the importance of evaluating depression in cardiac surgical patients in the postend stage-operative period.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".