Combined General and Regional Anesthesia for a Patient With Duchenne Muscle Dystrophy With an Implanted Left Ventricular Assisted Device Undergoing Orthopedic Surgery
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".