Hyponatremia as predictor of symptomatic vasospasm in aneurysmal subarachnoid hemorrhage
Bibliographic record
Abstract
Subarachnoid hemorrhage is one of high morbidity in vascular neurology and neurosurgery and one of the clipart for this is symptomatic vasospasm that can leads to delayed cerebral ischemia. Other common complication is electrolytes and fluid homeostasis disturbance and among these, is Sodium disequilibrium, either hypo- or hypernatremia. In our institution we observed that hyponatremia is common, and it is more evident in patient with symptomatic vasospasm. For that we retrospectively looked at the association of hyponatremia and the occurrence of symptomatic vasospasm or delayed cerebral ischemia in aSAH. Retrospective chart review with daily monitoring of sodium level from day 1to day 21 from the ictus, aSAH. We include all adult patients (Age > 18 years) who were admitted to intensive care with diagnosis of aSAH and undergone aneurysm securing procedures within 48 h. Among 45 patients 24 (43%) developed symptomatic vasospasm and delayed cerebral ischemia and it was most common in males (13/22: 59%). Sodium level especially hyponatremia in period between days (1–4) with median of 134 in vasospasm group (50%). Delayed cerebral ischemia/symptomatic vasospasm occurs more commonly in males and associated with hyponatremia (Na+ <134) and can be predicted in the first 4 days.
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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 | 0.001 | 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) | 0.001 | 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".