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Quantitation of Changes in VWF and FVIII Following Elective Orthopedic Surgery in Normal Individuals.

2009· article· en· W2554373928 on OpenAlexaff
Amrit Kahlon, Julie Grabell, Angie Tuttle, Dale Engen, Wilma M. Hopman, David Lillicrap, Paula James

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsQueen's UniversityKingston General Hospital
Fundersnot available
KeywordsMedicinePartial thromboplastin timeThromboelastographyVon Willebrand factorOrthopedic surgeryProthrombin timeFactor IXCoagulationSurgeryInternal medicineGastroenterologyPlatelet

Abstract

fetched live from OpenAlex

Abstract Abstract 1296 Poster Board I-318 Background Patients with inherited bleeding disorders undergoing surgery typically receive therapy to correct the deficient factor to a level of ∼1.0 IU/mL. There is a paucity of well-constructed descriptive data quantifying the changes in coagulation that occur in response to surgical stress in normal individuals, however. Additionally, von Willebrand factor (VWF) and factor VIII (FVIII) are acute phase reactants, and thus, supratherapeutic levels of these proteins that might develop in response to the surgical stress would predispose patients to thrombotic events. Aim: With this in mind, our objective was to quantify the changes in hemostatic variables that occur in response to elective orthopedic surgery in normal individuals. Methods Eligible subjects > 18 years of age undergoing total knee or total hip replacement were recruited. Exclusion criteria included a known bleeding disorder, hormone replacement therapy, use of oral contraceptives or pregnancy. Following informed consent, blood samples were drawn at five time points: 1) baseline - in clinic 1-2 weeks pre-operatively (pre-op), 2) pre-op the morning of surgery – same day admitting center, 3) intra-operatively (intra-op) – 30 minutes after the start of surgery, 4) 30 minutes post-operatively (post-op) - recovery room, and 5) post-op day one (POD 1) – on the ward. Samples were analyzed for complete blood counts (CBC), prothrombin time (PT), activated partial thromboplastin time (aPTT), VWF antigen (VWF:Ag), VWF ristocetin cofactor activity (VWF:RCo), FVIII coagulant activity (FVIII:C) and whole blood thromboelastography (TEG) without tissue factor activation. Repeated measures analysis of variance was used to evaluate trends over time; paired samples t-tests were done to maximize the sample size for pairwise comparisons. Results 37 subjects were recruited (25 females, 12 males) with a mean age of 64 years (range 33 – 87). Means and ranges for all laboratory parameters are displayed in Table 1 in addition to statistical analysis of the change in all variables over the 5 time points. Statistically significant changes were seen in all variables except PTT and TEG angle. In general, VWF and FVIII indices decreased during surgery (presumably due to consumption) and then increased in the post-operative period (presumably due to a stress response). A great deal of variability was seen in post-operative levels of VWF and FVIII between individuals with some showing borderline low levels and some achieving very high levels. Conclusion These data establish a baseline on which to reconsider current strategies for the peri-operative management of patients with inherited bleeding disorders, and provide relevant information when considering the relative risks of bleeding or thrombosis associated with surgery. Disclosures No relevant conflicts of interest to declare.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.274
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

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