Venous Thromboembolism in Hip Fracture Patients: A Subanalysis of the FAITH and HEALTH Trials
Bibliographic record
Abstract
BACKGROUND: The primary objective of this study was to determine the incidence of symptomatic venous thromboembolism (VTE), including pulmonary embolism (PE) and deep vein thrombosis (DVT), in the hip fracture population. Secondary objectives included determining timing of VTE diagnosis, VTE thromboprophylaxis given, and identifying any factors associated with VTE. METHODS: Using data from the FAITH and HEALTH trials, the incidence of VTE, including DVT and PE, and the timing of VTE were determined. A multivariable Cox regression analysis was used to determine which factors were associated with increased risk of VTE, including age, treatment for comorbidity, thromboprophylaxis, time to surgery, and method of fracture management. RESULTS: 2520 hip fracture patients were included in the analysis. Sixty-four patients (2.5%) had a VTE [DVT: 36 (1.4%), PE: 28 (1.1%)]. Thirty-five (54.7%) were diagnosed less than 6 weeks postfracture and 29 (45.3%) more than 6 weeks postfracture. One thousand nine hundred ninety-three (79%) patients received thromboprophylaxis preoperatively and 2502 (99%) received thromboprophylaxis postoperatively. The most common method of preoperative (46%) and postoperative (73%) thromboprophylaxis was low molecular weight heparin. Treatment with arthroplasty compared to internal fixation was the only variable associated with increased risk of VTE (hazard ratio 2.67, P = 0.02). CONCLUSIONS: The incidence of symptomatic VTE in hip fracture patients recruited to the 2 trials was 2.5%. Although over half of the cases were diagnosed within 6 weeks of fracture, VTE is still prevalent after this period. The majority of patients received thromboprophylaxis. Treatment with arthroplasty rather than fixation was associated with increased incidence of VTE. LEVEL OF EVIDENCE: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.015 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".