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Record W3092971311 · doi:10.1002/anr3.12070

Dexmedetomidine infusion for sedation in a patient with myotonic dystrophy*

2020· article· en· W3092971311 on OpenAlexaff
A. Y. Liu, A. Dower, Suresh Nair

Bibliographic record

VenueAnaesthesia Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsDexmedetomidineMedicineAnesthesiaSedationMyotonic dystrophySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Myotonic dystrophy type 1 is the most common muscular dystrophy in adults. Anaesthetic management should take into consideration the numerous body systems affected, including the musculoskeletal; respiratory; cardiovascular; gastro-intestinal; and central nervous systems. A 42-year-old man with myotonic dystrophy presented for septoplasty and bilateral inferior turbinate reductions. He had severe upper and lower extremity myotonia and weakness, pulmonary impairment with non-obstructive patterns and first-degree atrioventricular block with reduced ejection fraction. He used bilevel positive airway pressure, a cough assist device and was paced 3% of the time with a single-chamber pacemaker. To reduce potential complications associated with opioid use and general anaesthetics, an opioid-free technique was planned using local anaesthetic infiltration and sedation with a dexmedetomidine infusion. The patient maintained spontaneous ventilation and haemodynamic stability, and had an uneventful postoperative course. Dexmedetomidine is a highly selective α2-adrenergic receptor agonist that has the ability to provide sedation, analgesia and anxiolysis with a stable haemodynamic profile. Avoiding both opioids and general anaesthetics in these patients may decrease the risk of peri-operative complications.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.486

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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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 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
Published2020
Admission routes1
Has abstractyes

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