Terman Samuel W, Guterman Elan L, Hill Chloe E, Betjemann John P, Burke James F
University of Michigan (SWT, CEH), Department of Neurology, Ann Arbor, MI; University of California San Francisco (ELG, JPB), Department of Neurology, San Francisco, CA; Department of Neurology and Stroke Program (JFB), University of Michigan; and Department of Veterans Affairs (JFB), VA Center for Clinical Management and Research, Ann Arbor VA Healthcare System, Ann Arbor, MI.
Neurol Clin Pract. 2020 Apr;10(2):122-130. doi: 10.1212/CPJ.0000000000000688.
We sought to determine the cumulative incidence of readmissions after a seizure-related hospitalization and identify risk factors and readmission diagnoses.
We performed a retrospective cohort study of adult patients hospitalized with a primary discharge diagnosis of seizure ( codes 345.xx and 780.3x) using the State Inpatient Databases across 11 states from 2009 to 2012. Hospital and community characteristics were obtained from the American Hospital Association and Robert Wood Johnson Foundation. We performed logistic regressions to explore effects of patient, hospital, and community factors on readmissions within 30 days of discharge.
Of 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).
Readmission 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.
我们试图确定癫痫相关住院治疗后的再入院累积发生率,并识别风险因素和再入院诊断。
我们对2009年至2012年期间在11个州使用州住院数据库进行首次出院诊断为癫痫(编码345.xx和780.3x)的成年患者进行了一项回顾性队列研究。医院和社区特征数据来自美国医院协会和罗伯特·伍德·约翰逊基金会。我们进行了逻辑回归分析,以探讨患者、医院和社区因素对出院后30天内再入院的影响。
在98712名患者中,13929名(14%)在30天内再次入院。再入院原因包括癫痫/惊厥(占再入院患者的30%)、情绪障碍(5%)、精神分裂症(4%)和败血症(4%)。再入院的最强预测因素是中枢神经系统肿瘤诊断(比值比[OR]2.1,95%置信区间[CI]1.9 - 2.4)或精神病(OR 1.8,95%CI 1.7 - 1.8)、紧急指数入院(OR 2.0,95%CI 1.8 - 2.2)、转至非急性医疗机构(OR 1.7,95%CI 1.6 - 1.8)、住院时间长(OR 1.7,95%CI 1.6 - 1.8)以及营利性医院(OR 1.7,95%CI 1.6 - 1.8)。我们主要模型的c统计量为0.66。癫痫持续状态再入院的预测因素包括癫痫持续状态指数入院(OR 3.5,95%CI 2.6 - 4.7)、医院癫痫病例数少(OR 0.4,95%CI 0.3 - 0.7)以及农村医院(OR 4.8,95%CI 2.1 - 10.9)。
癫痫住院治疗后再入院很常见。预防策略应侧重于复发性癫痫,这是最常见的再入院诊断。许多因素与再入院有关,尽管再入院情况仍然难以预测。