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Record W4415570895 · doi:10.1302/1358-992x.2025.11.047

AN EARLY COAGULATION FACTOR-DOMINANT HYPERCOAGULABILITY IS FOLLOWED BY A PROLONGED PLATELET-DOMINANT HYPERCOAGULABILITY IN PATIENTS WITH HIP FRACTURE

2025· article· en· W4415570895 on OpenAlexaff
Donghyun You, Robert Korley, Alan Dodd, Paul Duffy, Ryan Martin, Andrea Soo, Prism Schneider

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsAlberta Bible College
Fundersnot available
KeywordsHip fractureThrombelastographyThromboelastographyClot formationProspective cohort studyCoagulationVenous thromboembolismCoagulation testing

Abstract

fetched live from OpenAlex

The risk for venous thromboembolism (VTE) after hip fracture surgery (HFS) is amongst the highest for all surgical procedures. Despite thromboprophylaxis, a sub-analysis of the FAITH and HEALTH trials demonstrated a 2.5% VTE rate. More concerning, 45.3% of VTE events were diagnosed more than six weeks post-fracture, beyond currently recommended duration of thromboprophylaxis. Thrombelastography (TEG) is a whole-blood viscoelastic hemostatic assay which provides a comprehensive real-time analysis of hemostasis, from clot initiation to fibrinolysis. As patients with hip fracture continue to suffer from debilitating VTE events, TEG analysis may provide valuable information on coagulation kinetics responsible for hypercoagulability to guide thromboprophylaxis regimens. The objective of this study was to determine the timing of different phases of coagulation responsible for hypercoagulability in patients after HFS. In this prospective cohort study, TEG analysis was performed in patients with hip fracture every 24-hours from admission until post-operative day (POD) 5, then at 2-week, 6-week, and 3-month post-operative follow-up. Hypercoagulability was defined by TEG parameter values beyond the reference range for clot initiation [Activated Clotting Time (ACT), Reaction-time (R-time)], clot propagation [Kinetic-time (K-time) and Alpha-angle (a-angle)]. A hypercoagulable threshold of >5 mm determined a priori was used for Maximal Amplitude (MA), a measure of platelet contribution to maximal clot strength. One-sample t-tests were performed at follow-up timepoints when the TEG parameter was beyond reference range and paired t-test was performed to compare follow-up timepoints to admission values. All statistical tests were two-sided and p-values < 0.05 were considered statistically significant. In total, 121 patients with a median age of 81.0 (IQR 71–87) were included. ACT and R-time demonstrated progressively shorter time to clot initiation compared to admission values until POD4 [(ACT mean difference=11.7sec, SEM=2.1; p<0.001), (R-time mean difference=0.13min, SEM=0.02; p<0.001)] signifying an increased coagulation factor dominant hypercoagulability in the early post-operative period. Maximal Amplitude values demonstrated a peak two weeks post-operatively (mean MA=70.8, SD=2.7; p<0.001) and remained elevated six weeks post-operatively (mean MA=65.9, SD=4.0; p=0.04), before normalizing three months post-operatively. Symptomatic VTE events were detected in three patients (2.5%) post-operatively. All three patients demonstrated platelet-dominant hypercoagulability at the 6-week follow-up, with elevated MA values. Serial TEG analysis was able to quantify early hypercoagulability after hip fracture that is related to increased procoagulant factor activity. This finding supports early thromboprophylaxis within 24 hours of surgery and the use of anticoagulants like LMWH which target procoagulant factors. Interestingly, there was a prolonged platelet-dominant hypercoagulability which extended beyond current recommended thromboprophylaxis duration after hip fracture surgery. As patients with hip fracture continue to suffer from VTE, extended thromboprophylaxis with antiplatelet agents may be of benefit. Future studies evaluating alternative thromboprophylaxis regimens which consider targeting procoagulant factors and platelet hyperactivity for a prolonged period of time may help prevent VTE events after hip fracture surgery.

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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)0.001
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.245
Teacher spread0.238 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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