Frequency of Mortality in Children admitted with status Epilepticus in King Abdullah Teaching Hospital Mansehra
Bibliographic record
Abstract
Objectives: To determine the frequency of in-hospital mortality in children admitted with convulsive status epilepticus and to analyze the relation of age, gender, seizure duration and etiology with mortality. Methodology: This descriptive case series was conducted at Pediatric department of King Abdullah Teaching Hospital Mansehra from 1st September 2020 to 30th October 2021 after taking ethical approval from institutional ERC (ERC approval no. 2915/PED). Total 114 children aged 1-13 years diagnosed with status epilepticus were enrolled after taking informed consent from their caregivers. Their demographic features (age, gender, address, seizure duration, etiology and response to therapy) were recorded. The children were managed as per Canadian pediatric society guidelines. The final outcome, mortality and its associations were recorded on a proforma during a maximum of 14 days hospital stay. Results: The overall mortality was 8.77%. The most common cause of status epilepticus was idiopathic status epilepticus (28.95%), followed by encephalitis (25.44%). The mean ±SD duration of seizures was 17.10±6.77 minutes with a range of 6-28 minutes. There was no statistically significant association between mortality and age, gender, cause of status epilepticus and duration of seizures (p > 0.05). Conclusion: Status epilepticus is frequently encountered medical emergency in pediatric population with a diverse etiopathogenesis. Despite advances in medicine, the morbidity and mortality associated with status epilepticus still remain very high.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".