Effect of postoperative anemia on functional outcome and quality of life after hip and knee arthroplasties: a long term follow-up
Bibliographic record
Abstract
Background: Postoperative anemia is frequent in patients undergoing hip and knee arthroplasty. While it is legitimate to think that anemia could decrease postoperative vigor and, consequently, limit the patient’s rehabilitation, our previous study showed that anemia does not impair functional recovery in patients during the immediate postoperative period (10 days). Here we investigate the possible relationship between the postoperative hemoglobin (Hb) concentration and long-term (6 months or more) functional recovery and quality of life (QoL) in patients. Study design and methods: A follow-up, observational study was conducted in the 305 patients 60 years and older who underwent major hip or knee arthroplasty and participated in the Transfusion Requirements in Orthopedic Surgery (TRIOS) study (phase 2). The relationship between postoperative Hb concentration (or variation thereof) and primary outcomes (Functional Status Index (FSI) score, scores in the two categories of the Short Form 36 (SF-36) test and adverse events) was established by linear regression. Results: 160 patients responded to long-term follow-up. There were no significant correlations between the postoperative Hb concentration (or the variation in perioperative Hb) and either the FSI or SF-36 scores or adverse events. Consequently, moderate postoperative anemia does not appear to affect long-term (6 months or more after surgery) functional recovery or QoL in patients undergoing a major arthroplasty. Conclusion: Our results confirm the lack of longer-term effects of anemia on functional recovery observed in the immediate postoperative period in the TRIOS phase 2 study.
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 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".