Preoperative Depression and Anxiety Impact on Inpatient Surgery Outcomes
Why this work is in the frame
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Bibliographic record
Abstract
Objectives: To determine the association of preoperative mood symptoms and postoperative adverse outcomes; to explore sex-specific differences. Background: Depression and anxiety can increase postoperative mortality. Psychological stress is associated with a chronic inflammatory response unfavorable to postsurgical healing. Methods: Prospective cohort study. Patients were recruited from surgical preadmission clinics at a university hospital. Preoperative depression and anxiety were measured via the Beck Depression and Beck Anxiety Inventories (BDI-II and BAI). Our primary outcome was a composite of postoperative complications, extended length of stay (ELOS) and early readmission. Associated variables included demographics, preoperative pain, pain tolerance/catastrophizing, coping mechanisms, postoperative pain, and opioid use. We adjusted for age, comorbidities, and surgical specialty. Results: Of 1061 recruited patients (ten surgical specialties, 2015–2020), 455 males and 486 females had preoperative and postoperative data available. Mean age was 62.9 (range 20.2–96.2). At baseline, 9.3% of patients had moderate or severe depression; 7.4% had moderate or severe anxiety. Females were more likely to be moderately or severely depressed (11% vs 7%, P = 0.036) and moderately or severely anxious (9% vs 6%, P = 0.034). Females had significantly fewer reported comorbidities and lower American Society of Anesthesiologists category ( P < 0.001). Increasing BDI-II and BAI scores significantly increased likelihood of postoperative complications, ELOS, and/or hospital readmission in females (adjusted odds ratio [aOR] = 2.57 for BDI-II 1-19 vs 0, P = 0.041; aOR = 4.48 for BDI-II > 19 vs 0, P = 0.008; aOR = 1.54 for BAI ≤ 6 vs >6, P = 0.038) but not in males. Mood symptoms did not influence postoperative pain or opioid use. Conclusion: Preoperative depression and anxiety negatively impact surgical outcomes in female patients undergoing major surgery.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it