Mortality and recovery from refractory status epilepticus in the intensive care unit: A 7‐year observational study
Bibliographic record
Abstract
PURPOSE: Refractory status epilepticus (RSE) is a life-threatening neurologic emergency with high mortality and morbidity. The aim of this study was to identify and quantify associations between clinical characteristics of adult RSE patients and outcome. METHODS: Comprehensive medical chart review was performed of all consecutive adult RSE patients treated on the intensive care units of an academic tertiary care center between 2005 and 2011. Demographics, RSE etiologies and duration, comorbidities, as well as outcomes were assessed. Associations between clinical characteristics and death were quantified. KEY FINDINGS: Of 260 patients with status epilepticus, 111 developed RSE. Hypoxic encephalopathy (23%), brain tumors (14%), known and uncontrolled epilepsy (10%), and ischemic stroke (8%) were the main etiologies. During hospitalization 38% of patients died. Hypoxic encephalopathy (HE) and brain tumors were independently associated with death (relative risk [RR] 2.41, 95% confidence interval [CI] 1.40-4.12; p = 0.001 and RR 2.81, 95%CI 1.59-4.96; p < 0.0001). The estimated hazard ratio of death was 3.1 (95% CI1.6-6.0; p = 0.001) for patients with HE and 1.1 (95% CI 0.5-2.3; p = 0.745) for patients with brain tumors. RSE duration and nonconvulsive status epilepticus in coma were independently associated with death (for every hour RR 1.001; 95%CI 1.00-1.002; p = 0.011 and RR 3.62; 95%CI 1.34-9.77; p = 0.005). SIGNIFICANCE: Brain tumors and HE had high relative risks for death and were independently associated with mortality in our cohort of critically ill RSE patients. Other clinical characteristics, as well as the use of intravenous anesthetic drugs and mechanical ventilation, may not be strongly related to outcome and should therefore be used cautiously for informed decision making regarding treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".