Interleukin-6 as a marker for surgical trauma in total knee arthroplasty
Bibliographic record
Abstract
Background While serum interleukin-6 (IL-6) clearly has been established as a marker of physiologic stress, the validity of IL-6 as a reliable measure of the degree of trauma or stress suffered by an individual with total knee replacement (TKA) remains in question. We hypothesized that if serum IL-6 is a marker of surgical stress, then we would observe marked increases in IL-6 levels in sequential bilateral TKA as compared with unilateral TKA. Methods The study design was a single-surgeon prospective case-control pilot study of sequential bilateral TKA cases and unilateral TKA controls to assess changes in serum IL-6 levels preoperatively, during, at wound closure, and up to 48 hours postoperatively. IL-6 levels were analyzed using a one-way mixed models analysis of variance. Results Eleven patients with unilateral and 12 with bilateral TKA comprised the study sample. IL-6 levels at peak (24 hours postoperatively) for the unilateral control group was 12 times higher compared with baseline (4.6 pg/mL compared with 55.0 pg/mL), while the bilateral TKA group saw a 116-fold increase in IL-6 from baseline to peak at 12 hours postoperatively (2.9 pg/mL compared with 335.0 pg/mL). At “peak,” IL-6 was 6.1 times higher for the bilateral group compared with the unilateral group. Conclusions This pilot study supports the notion that sequential bilateral TKA produces a far greater surgical stress, as measured by IL-6. Careful patient selection, counseling, and consideration of staging procedures are advised.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".