Reasons and Risk Factors for Same-Day Discharge Following Total Joint Arthroplasty: A Systematic Review
Bibliographic record
Abstract
Background: Nowadays, emphasis is being given to same-day discharge (SDD) following total joint arthroplasty. Unfortunately, despite a high degree of success, there are instances of failed SDD. Therefore, we aim to conduct a systematic review to evaluate factors contributing to failed SDD after total joint arthroplasty. Methods: Pubmed, Scopus, Cochrane, and Google Scholar were searched. The Newcastle Ottawa score was used for the quality assessment of selected studies. All the studies were evaluated through a narrative synthesis. A total of 11 studies evaluating 157,045 patients were selected. The mean age of patients was 62.5 years. Results: Elderly patients (odds ratio [OR] 1.01 to OR 3.13), women (OR 1.63 to OR 2.87), non-white race (OR 1.31 to OR 2.19), hypertension (OR 1.11 to OR 1.41), diabetes (OR 1.25 to OR 4.06), cardiovascular diseases (OR 1.67 to OR 12.06), chronic obstructive pulmonary disease (OR 1.30 to OR 1.96), bleeding disorders (OR 1.32 to OR 1.52), obesity (OR 1.35 to OR 3.30), steroid use (OR 1.23 to OR 1.52), late procedure start time (OR 1.22 to OR 5.16), higher postoperative pain (OR 1.93 to OR 5.85), high American Society of Anesthesiologists score (OR 0.92 to OR 3.50) were major predictors of failed SDD. Conclusions: Through our review, we highlighted that elderly patients, women, non-white race, hypertension, diabetes, cardiovascular diseases, chronic obstructive pulmonary disease, bleeding disorders, obesity, steroid use, late procedure start time, higher postoperative pain, and high American Society of Anesthesiologists score were major predictors of a failed SDD. Many factors evaluated in our study were presented in one or two studies only; therefore, high-quality studies are required to supplement our findings.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".