Risk Factors of Hypoglycemic Encephalopathy and Prolonged Hypoglycemia in Patients With Severe Hypoglycemia
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to investigate risk factors of hypoglycemic encephalopathy (HE) in patients with severe hypoglycemia. METHODS: We retrospectively enrolled patients with severe hypoglycemia who were transported to the emergency department in an ambulance. We defined severe hypoglycemia as plasma glucose level < 60 mg/dL (or capillary levels < 50 mg/dL). HE was defined as severe hypoglycemia with altered level of consciousness (Glasgow coma scale < 12) and prolonged HE as coma or stupor lasting > 24 h after glucose administration. We compared several parameters between patients with and without HE and between prolonged and recovered patients. RESULTS: Included were 173 patients with severe hypoglycemia; of them, 94 were diagnosed with HE, with 12 of them prolonged HE. Glucose level in HE patients was lower than that in those without HE (P < 0.001). Moreover, we noted a significant difference in glucose levels between the prolonged and recovered groups. Furthermore, body temperature was higher in prolonged versus recovered patients (P = 0.0017). CONCLUSION: Blood glucose level may be correlated with severity of altered level of consciousness. In addition, body temperature may be related to coma or prolonged stupor.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".