Predictive Factors for the Necessity of Hospitalization of Patients With Acute Alcohol Intoxication
Bibliographic record
Abstract
Background: The aim of the study was to identify factors related to the need for hospitalization due to acute alcohol intoxication. Methods: The data of 42 patients with acute alcohol intoxication who visited our hospital from April 1, 2014 to September 30, 2015 were available for analysis. Factors related to outcome included hospitalization or release to home, Glasgow coma scale (GCS), temperature, pulse rate, blood pressure, oxygen saturation of the peripheral artery (SpO 2 ), and respiratory rate. A retrospective survey was done that included estimated blood alcohol concentration, osmotic pressure, and serum lactate level. The following formula was used to estimate blood alcohol concentration: (measured osmotic pressure - estimated osmotic pressure × 4.6 mg/dL). Univariate analysis of each variable was done for the two outcome groups, hospital admission or release to home, then statistically significant items were subjected to multivariate analysis. Results: Of the 42 patients (average age 22.8 ± 8.6 years, 33 men, six women), 29 were admitted and 13 were released to home. There was a weak correlation between estimated blood alcohol concentration and GCS. There was no significant difference in alcohol concentration or GCS between the hospitalized and released to home groups. In multivariate analysis using the outcome as the objective variable, a serum lactate level of 26 mg/dL or higher was associated with the need for hospitalization (odds ratio: 6.7). Conclusion: A serum lactate level of 26 mg/dL would be useful for deciding if hospitalization is necessary for patients with acute alcohol intoxication. J Clin Med Res. 2023;15(3):161-165 doi: https://doi.org/10.14740/jocmr4881
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".