Risk of Perioperative Blood Transfusions and Postoperative Complications Associated With Serotonergic Antidepressants in Older Adults Undergoing Hip Fracture Surgery
Bibliographic record
Abstract
Serotonergic antidepressants (SAds) are associated with bleeding-related adverse events. An increased risk of bleeding with SAds may have important implications in surgical settings. Our study evaluates the risk of red blood cell (RBC) transfusions and postoperative complications associated with SAds among older adults undergoing hip fracture surgery. We conducted a retrospective cohort study of individuals 66 years or older who underwent hip fracture surgery in Ontario, Canada. The risk of RBC transfusion among current users of SAds and nonserotonergic antidepressants (NSAds) was compared with recent former SAd users. Secondary outcomes included measures of postoperative morbidity and mortality. Subgroup analyses were undertaken in groups who were coprescribed other medications known to effect bleeding. Multivariable logistic regression was utilized to determine the odds ratios (ORs) for antidepressants and postoperative outcomes. A total 11,384 individuals were included in the study sample. Current SAd users had an increased risk of RBC transfusion compared with recent former users of SAds (OR, 1.28; 95% confidence interval, 1.14-1.43) as did current NSAd users (OR, 1.17; 95% confidence interval, 1.03-1.33). The risk of RBC transfusion with SAds or NSAds was further increased among individuals receiving antiplatelet agents. However, postoperative morbidity and mortality were not increased among either group of antidepressant users. In conclusion, SAds are associated with an increased risk of RBC transfusions, although this does not appear to result in major postoperative complications. Clinicians should be aware of this increased risk, although routine discontinuation of antidepressants before surgery is likely unwarranted in most cases.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".