Trends in Toxic Alcohol Exposures in the United States from 2000 to 2013: A Focus on the Use of Antidotes and Extracorporeal Treatments
Bibliographic record
Abstract
Morbidity and mortality from toxic alcohols like ethylene glycol and methanol remain prevalent worldwide. The introduction of fomepizole, a potent blocker of alcohol dehydrogenase, has modified current practice over the last 15 years. The aim of the study was to describe the characteristics of toxic alcohol poisoning reported to US poison centers, the trends in the incidence of antidote use and hemodialysis treatment, as well as the related mortality. A retrospective study of all electronic entries from the AAPCC National Poison Data System database, from the years 2000 to 2013 was reviewed. When considering all exposures, the great majority of patients had a benign outcome. Major effects (e.g., life threatening) occurred in 2.1% and 4.9% of methanol and ethylene glycol cases, respectively. Mortality rates were similar for both toxic alcohols, approximately 0.6%. When only considering ingestions reported to healthcare facilities, a major effect was reported in 9.5% and 20.5%, and the mortality rate was 2.9% and 2.4% for methanol and ethylene glycol exposures, respectively, and remained constant over time. The use of fomepizole increased statistically over the study period while that of ethanol decreased, until it became proportionally negligible by 2012-2013. The use of hemodialysis significantly decreased in "Early" ethylene glycol exposures during the study period. Similar to other reports, it appears that the use of fomepizole has largely supplanted ethanol as the antidote of choice in toxic alcohol exposures and may decrease the requirements for hemodialysis in patients poisoned with ethylene glycol who have no acidosis and normal kidney function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".