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Record W4399024853 · doi:10.14740/jmc4224

Combined General and Regional Anesthesia for a Patient With Duchenne Muscle Dystrophy With an Implanted Left Ventricular Assisted Device Undergoing Orthopedic Surgery

2024· article· en· W4399024853 on OpenAlexvenueno aff
Amr Elhamrawy, Mauricio Arce Villalobos, Grant Heydinger, Marco Corridore, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOrthopedic surgeryDuchenne muscular dystrophySurgeryAnesthesiaRegional anesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Duchenne muscular dystrophy (DMD) is an X-linked inherited dystrophinopathy, with an incidence of 1 in 3,600 - 5,000 male live-born infants. The leading cause of death is often cardiomyopathy-related heart failure. Given the progressive nature of the disorder with involvement of skeletal muscle, respiratory and cardiac function, perioperative care remains challenging with an increased incidence of perioperative morbidity and mortality. Perioperative care can be challenging due to life-threatening perioperative adverse events related to associated end-organ effects, as well as sensitivity to various anesthetic agents, rhabdomyolysis, hyperkalemia, hyperthermia, and cardiac arrest. We present a 22-year-old DMD patient with left ventricular assisted device (LVAD), who presented for repair of both left distal femur and tibial diaphysis fractures. Anesthetic care included the unique combination of total intravenous anesthesia with dexmedetomidine and remimazolam combined with regional anesthesia including a supra-inguinal fascia iliaca block, saphenous nerve block, and popliteal nerve block. The basics of dystrophinopathies are presented, perioperative concerns discussed, and previous reports of the use of regional anesthesia as an adjunct to general anesthesia in adult and pediatric patients with DMD are reviewed.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.277
Teacher spread0.243 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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