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Record W4415617905 · doi:10.1097/aln.0000000000005818

Pain as a Driver of Myocardial Injury in Hip Fracture Patients: A Hip Fracture Accelerated Surgical Treatment and Care Track (HIP ATTACK) Trial Secondary Analysis

2025· article· en· W4415617905 on OpenAlexaff
James S. Khan, Francesca Mulazzani, PJ Devereaux, Mohit Bhandari, Ernesto Guerra-Farfán, Ameen Patel, Harsha Shanthanna, Gerard P. Slobogean, Alben Sigamani, Masood Umer, Robert J. Feibel, Maria E. Tiboni, Vikas Tandon, Valerie Harvey, Kumar Balasubramanian, Jessica Vincent, Ana Claudia Tonelli, Ian Gilron, Arissa M. Torrie, Flávia K. Borges

Bibliographic record

VenueAnesthesiology · 2025
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsKingston Health Sciences CentreMcMaster University Medical CentreKingston General HospitalOttawa HospitalUniversity of TorontoHamilton Health SciencesCancer Care OntarioMcMaster UniversityPopulation Health Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsHip fracturePerioperativeAnalgesicFast trackClinical trialPsychological interventionRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Pain is a common yet underaddressed issue in surgical inpatients. Inadequate pain control in patients with hip fractures can lead to adverse hemodynamic changes, potentially increasing the risk of myocardial ischemia. The authors aim to investigate whether perioperative pain is associated with the development of myocardial ischemic events in patients undergoing hip fracture surgery. METHODS: HIP fracture Accelerated surgical TreaTment And Care tracK (HIP ATTACK) was a multicenter international randomized controlled trial comparing the effects of accelerated surgical repair of hip fracture versus standard of care. The authors included patients enrolled in the HIP ATTACK trial who had at least one troponin measurement and a pain score measurement. Pain was assessed daily on hospital admission using the 0 to 10 numeric rating scale. The primary analysis included all available pain scores averaged (then categorized as mild [numeric rating scale 0 to 3], moderate [4 to 7], and severe [8 to 10] pain) before and on the day of the first troponin elevation. The primary outcome was troponin elevation from any cause, with secondary outcomes of myocardial injury (due to an ischemic etiology), myocardial infarction, and then a composite of myocardial injury and myocardial infarction. Multivariable regression models adjusting for potential confounders were used to identify an association between pain categories and outcomes. RESULTS: The authors included 2,430 (82%) from the initial HIP ATTACK cohort (n = 2,970). Forty-five percent of patients (1,098) suffered a troponin elevation from any cause. In the adjusted models, moderate (odds ratio, 3.90; 95% CI, 3.02 to 5.05) and severe pain (odds ratio, 29.24; 95% CI, 17.7 to 48.29) were associated with a troponin elevation of any cause. Similarly, moderate (odds ratio, 2.09; 95% CI, 1.71 to 2.57) and severe pain (odds ratio, 6.04, 95% CI, 4.49 to 8.12) were associated with myocardial injury, whereas only severe pain was associated with myocardial infarction (odds ratio, 2.33; 95% CI, 1.35 to 3.99). Both moderate and severe pain were associated with the composite outcome. CONCLUSIONS: Increased pain may be associated with myocardial ischemic events in the perioperative period in hip fracture patients. Future research is needed to confirm and further clarify this relationship and to determine whether analgesic interventions can reduce the risk of perioperative myocardial ischemia.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.299
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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