Myocardial injury in hip fractures: a HIP ATTACK-1 randomized trial substudy
Bibliographic record
Abstract
Abstract Background Myocardial injury after a hip fracture is common and has a poor prognosis. Patients with a hip fracture and myocardial injury may benefit from accelerated surgery to remove the physiological stress associated with the myocardial injury. Purpose To determine if accelerated surgery is superior to standard-care on the 90-day risk of vascular outcomes and death in patients with a hip fracture who presented with an elevated cardiac biomarker/enzyme at hospital arrival. Methods The HIP ATTACK-1 trial was a randomized controlled trial designed to determine whether accelerated surgery for hip fracture was superior to standard-care in reducing death or major complications. This substudy includes 1392/2970 patients with a cardiac biomarker/enzyme measurement (>99.9% had a troponin measurement) at hospital arrival. The primary outcome was all-cause mortality. The secondary composite outcome included all-cause mortality, myocardial infarction, stroke, and congestive heart failure at 90-days after randomization. Results 322/1392 (23%) patients had a troponin elevation at hospital arrival. Among patients with troponin elevation, median time from hip fracture diagnosis to surgery was 6 h (IQR 5–13) in the accelerated-care group and 29 h (IQR 19–52) in the standard-care group. Patients with an increased troponin had lower risk of mortality with accelerated surgery compared to standard-care (17/163 [10%] versus 36/159 [23%]; HR 0.43 [95% CI 0.24–0.77]); and lower risk of the composite outcome (23/163 [14%] versus 47/159 [30%]; HR 0.43 [CI 95% 0.26-0.72]). Conclusion One in 5 patients with hip fracture present with myocardial injury. Accelerated surgery demonstrated a lower risk of mortality and major cardiovascular outcomes compared with standard-care.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".