Sex-specific differences in 30-day outcomes following primary total hip replacement in 86,684 patients
Bibliographic record
Abstract
Introduction: Although differential outcomes based on sex are widespread in medicine and surgery, evaluation of sex-specific differences in the field of orthopaedic surgery in general – and arthroplasty in particular – are lacking. We hypothesised that morbidly obese male and female patients would have differing risks of surgical complications following primary total hip replacement. Methods: We reviewed data contained within the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database from 2015 through 2018, inclusive. A multivariable binary logistic regression model was used to determine the adjusted odds ratios (OR) of relevant variables on primary and secondary outcomes. Results: A total of 86,684 patients undergoing THR were identified, of whom 9972 patients (4095 male and 5877 female) were morbidly obese. Among morbidly obese patients, odds of surgical site infection were higher in females than males within 30 days of surgery (adjusted OR 1.40; 95% CI, 1.10–1.79; p = 0.007). This comprised the odds of both superficial infection (1.8% vs. 1.1%, adjusted OR 1.67; 95% CI, 1.16–2.40; p = 0.006) and deep infection (1.9% vs. 1.4%, adjusted OR 1.22; 95% CI, 0.88–1.68; p = 0.24). Unexpected return to the operating room (i.e., reoperation) within 30 days of the surgical procedure was also higher among females than males (4.2% vs. 3.1%, adjusted OR 1.38, 95% CI, 1.10–1.71, p = 0.005). There were no differences between male and female patients in the non-obese cohort. Conclusions: Among patients with morbid obesity, the risk of surgical site infection and reoperation within the first 30 days is greater in women as compared to men. Future research must address whether this early increased risk among morbidly obese women persists in the longer term, and whether it results in compromised function or quality of life.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".