High incidence of in-hospital pulmonary embolism following joint arthroplasty with dalteparin prophylaxis
Bibliographic record
Abstract
The in-hospital incidence of pulmonary embolism (PE) in patients undergoing elective joint arthroplasty who receive a minimum of 10 days of dalteparin prophylaxis is reported to be less than 1%. Recent clinical experience raised suspicion that the incidence of PE was significantly higher at our tertiary care institution. It was the objective of this study to determine the incidence of in-hospital PE and symptomatic deep-vein thrombosis following elective joint arthroplasty in patients who received a minimum of 10 days of dalteparin prophylaxis. Consecutive charts of patients who underwent elective joint arthroplasty at our institution between January 2008 and June 2008 were reviewed. Data on risk factors for venous thromboembolism, objectively documented venous thromboembolic events, and signs and symptoms of PE were abstracted. Patients who received concomitant warfarin in the postoperative period were excluded. The study population consisted of 437 knee arthroplasty and 246 hip arthroplasty patients. The incidence of in-hospital PE following knee arthroplasty and hip arthroplasty was 4.6% and 0.4%, respectively. One out of every 10 knee patients, and one out of every 20 hip patients underwent testing for pulmonary embolism. Pulmonary embolism was diagnosed a median of 3.5 days after knee arthroplasty. The incidence of in-hospital PE in knee arthroplasty patients who received dalteparin prophylaxis was significantly higher than expected. Potential explanations for this finding include poor efficacy of dalteparin started 12-24 hours postoperatively and/or a low threshold for ordering diagnostic imaging for PE. Studies to clarify these issues are needed.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".