Malignant Hyperthermia in Canada
Bibliographic record
Abstract
BACKGROUND: Between 1992 and 2011, 373 Canadian individuals with adverse anesthetic reaction were referred to the Malignant Hyperthermia Unit in Toronto, Ontario, Canada for malignant hyperthermia (MH) diagnostic testing. We analyzed the epidemiologic characteristics of the index adverse anesthetics for those probands who were confirmed to be MH susceptible. METHODS: One hundred twenty-nine proband survivors of adverse anesthetic reactions, whose MH susceptible status was confirmed by caffeine-halothane contracture testing were selected. Individuals were excluded if the index anesthetic record was not available for review. Data regarding demographics, clinical signs, laboratory findings, treatment, and complications were retrospectively compiled and analyzed. A Fisher exact test and χ test were applied to compare categorical variables. The Wilcoxon rank-sum test was applied with continuous variables. RESULTS: Young males (61.2%) dominated among selected patients. Seventeen of 129 (13.2%) patients had prior unremarkable anesthesia. Anesthetic triggers were volatile-only (n = 58), succinylcholine-only (n = 20), or both volatile and succinylcholine (n = 51). Eight (6.2%) cases occurred in the postanesthetic care unit. There were no reactions after discharge from the postanesthetic care unit. The most frequent clinical signs were hyperthermia (66.7%), sinus tachycardia (62.0%), and hypercarbia (51.9%). Complications occurred in 20.1% of patients, the most common complication being renal dysfunction. When 20 or more minutes between the first adverse sign and dantrolene treatment elapsed, complication rates increased to ≥30%. CONCLUSIONS: This is the first Canadian study in 3 decades to report nationwide data on MH epidemiology. Features that differ from earlier reports include a 15.5% incidence of reactions triggered by succinylcholine alone and lower complication rates. In agreement with previously published studies, we confirmed in this independent dataset that increased complication rates were associated with an increased time interval between the first adverse clinical sign and dantrolene treatment. This underscores the need for early diagnosis and rapid dantrolene access and administration in anesthetizing locations using either succinylcholine or volatile anesthetic drugs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".