ArticleNeurology. Clinical practice2020
Factors associated with 30-day readmission for patients hospitalized for seizures.
Article in Neurology. Clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Integrating Quantitative Data and Qualitative Insights to Understand 30-Day Readmission Rates: A Mixed-Methods Study.Cureus · 2024Article
- Hospital variation of outcomes in status epilepticus.Epilepsia · 2024Article
- Characterizing emergency department and inpatient health care utilization after seizure-related hospitalization: A retrospective cohort study.Epilepsia · 2024Article
- Factors associated with acute care service use after epilepsy hospitalisation in people with intellectual disability.Journal of intellectual disability research : JIDR · 2023Article
- Article
- Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions.PloS one · 2021Article
- Hiding in Plain Sight-Neighborhood Versus Individual Determinants of Psychological Outcomes in Patients With Epilepsy.Epilepsy currentsArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundWe sought to determine the cumulative incidence of readmissions after a seizure-related hospitalization and identify risk factors and readmission diagnoses.
methodsWe performed a retrospective cohort study of adult patients hospitalized with a primary discharge diagnosis of seizure (
resultsOf 98,712 patients, 13,929 (14%) were readmitted within 30 days. Reasons for readmission included epilepsy/convulsions (30% of readmitted patients), mood disorders (5%), schizophrenia (4%), and septicemia (4%). The strongest predictors of readmission were diagnoses of CNS tumor (odds ratio [OR] 2.1, 95% confidence interval [CI] 1.9-2.4) or psychosis (OR 1.8, 95% CI 1.7-1.8), urgent index admission (OR 2.0, 95% CI 1.8-2.2), transfer to nonacute facilities (OR 1.7, 95% CI 1.6-1.8), long length of stay (OR 1.7, 95% CI 1.6-1.8), and for-profit hospitals (OR 1.7, 95% CI 1.6-1.8). Our main model's c-statistic was 0.66. Predictors of readmission for status epilepticus included index admission for status epilepticus (OR 3.5, 95% CI 2.6-4.7), low hospital epilepsy volume (OR 0.4, 95% CI 0.3-0.7), and rural hospitals (OR 4.8, 95% CI 2.1-10.9).
conclusionReadmission is common after hospitalization for seizures. Prevention strategies should focus on recurrent seizures, the most common readmission diagnosis. Many factors were associated with readmission, although readmissions remain challenging to predict.
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Registered trials
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