Association of first antiseizure medication with acute health care utilization in a cohort of adults with newly diagnosed epilepsy
Bibliographic record
Abstract
OBJECTIVE: Epilepsy is primarily treated with antiseizure medications (ASMs). The recommendations for first ASM in newly diagnosed epilepsy are inconsistently followed, and we sought to examine whether nonrecommended first ASM was associated with acute care utilization. METHODS: We conducted a retrospective cohort study of adults (≥18 years old) with newly diagnosed epilepsy (identified using validated epilepsy/convulsion International Classification of Diseases, Clinical Modification codes) in 2015-2019, sampled from Marketscan's Commercial and Medicare Databases. Exposure of interest was receipt of a non-guideline-recommended ASM, and the primary outcome was acute care utilization (an emergency department visit or hospitalization after the first ASM claim). Descriptive statistics characterized covariates, and multivariable negative binominal regression models were built adjusting for age, sex, Elixhauser Comorbidity Index, comorbid neurologic disease (e.g., stroke), and ASM polypharmacy. RESULTS: Approximately 14 681 people with new epilepsy were prescribed an ASM within 1 year. The three most prescribed medications were levetiracetam (54%, n = 7912), gabapentin (10%, n = 1462), and topiramate (7%, n = 1022). Approximately 4% (n = 648) were prescribed an ASM that should be avoided, and ~74% of people with new epilepsy had an acute care visit during the follow-up period. Mean number of acute care visits during follow-up was 3.34 for "recommended" ASMs and 4.42 for ASMs that "should be avoided." Prescription of a recommended/neutral ASM as compared to an ASM that should be avoided was associated with reduced likelihood of acute care utilization (incidence rate ratio [IRR] = .85, 95% confidence interval [CI] = .77-.94). The recommended/neutral category of ASMs was not statistically significantly associated with seizure- or epilepsy-specific acute care utilization (IRR = .93, 95% CI = .79-1.09). SIGNIFICANCE: Adults with new epilepsy are frequent users of acute care. There remain a proportion of persons with epilepsy prescribed ASMs that guidelines suggest avoiding, and these ASMs are associated with increased likelihood of emergency department visit or hospitalization. These findings reinforce the importance of optimizing the choice of first ASM in epilepsy.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".