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Record W4390340542 · doi:10.14740/jh1188

Successful Ultrasound-Guided Spinal Anesthesia in a Patient With Severe Hemophilia A Undergoing Total Hip Arthroplasty

2023· article· en· W4390340542 on OpenAlexaffvenue
Ferrante S. Gragasin, Neel Phaterpekar, Donald Glasgow, Haowei Sun

Bibliographic record

VenueJournal of Hematology · 2023
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePerioperativeNeuraxial blockadeHematomaSurgeryHemostasisAnesthesiaSpinal anesthesiaEpidural hematomaArthroplasty

Abstract

fetched live from OpenAlex

Neuraxial anesthesia is the preferred technique for total joint arthroplasties. However, the absolute safety of neuraxial anesthesia in hemophilia patients has not been established. We describe a case of an adult male with severe hemophilia A, who presented for primary hip replacement due to severe hemophilic arthropathy and was managed with ultrasound-facilitated neuraxial anesthesia. Due to bleeding risks, additional considerations were necessary to minimize development of postoperative spinal hematoma. There were no perioperative adverse events. Careful preoperative multidisciplinary planning, perioperative management of neuraxial anesthesia (including the use of spinal ultrasound), and hemostasis were instrumental to successfully accomplish this. Following these principles, we demonstrate that neuraxial techniques may be a safe option for managing patients with severe hemophilia A.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.485

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 integrity0.0000.000
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 head0.023
GPT teacher head0.300
Teacher spread0.277 · 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.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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