Can the Blaylock Risk Assessment Screening Score (BRASS) predict length of hospital stay and need for comprehensive discharge planning for patients following hip and knee replacement surgery? Predicting arthroplasty planning and stay using the BRASS
Bibliographic record
Abstract
BACKGROUND: Knee and hip arthroplasty constitutes a large percentage of hospital elective surgical procedures. The Blaylock Risk Assessment Screening Score (BRASS) was designed to identify patients in need of discharge planning. The purpose of this study was to evaluate whether the BRASS was associated with length of stay (LOS) in hospital following elective arthroplasty. METHODS: We retrospectively reviewed the charts of individuals undergoing primary elective arthroplasty for knee or hip osteoarthritis who had a documented BRASS score. RESULTS: In our study cohort of 241, both BRASS (p < 0.001) and replacement type (hip v. knee; p = 0.048) were predictive of LOS. Higher BRASS was associated with older patients (p < 0.001), higher American Society of Anesthesiologists score (p < 0.001) and longer LOS (p < 0.001). We found a specificity of 83% for a BRASS greater than 8 and a hospital stay longer than 5 days and a specificity of 92% for a BRASS greater than 10. CONCLUSION: The BRASS represents a novel and significant predictor of LOS following elective arthroplasty. Patients with higher BRASS are more likely to stay in hospital 5 days or more and should receive pre-emptive social work consultations to facilitate timely discharge planning and hospital resources.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".