Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Department of Neurology, University of California, San Francisco, San Francisco, California, USA.
Epilepsia. 2024 May;65(5):1415-1427. doi: 10.1111/epi.17927. Epub 2024 Feb 26.
Understanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes.
This was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences.
We included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects.
Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.
了解导致癫痫持续状态结局差异的因素对于改善治疗至关重要。我们评估了患者和医院特征在多大程度上解释了医院之间在插管和急性期后结局方面的变异性。
这是一项回顾性队列研究,纳入了 2009 年至 2019 年期间因癫痫持续状态入院的 Medicare 受益人的数据。结局包括插管、出院到医疗机构、30 天和 90 天再入院和死亡率。多水平模型计算了每个结局因医院间差异而导致的变异百分比。
我们纳入了 29150 名受益人。中位年龄为 68 岁(四分位距 [IQR] = 57-78),18084 名(62%)因残疾而有资格获得 Medicare。各医院各结局的中位数(IQR)百分比为:30 天死亡率 25%(0%-38%)、任何 30 天再入院率 14%(0%-25%)、30 天癫痫持续状态再入院率 0%(0%-3%)、30 天医疗机构停留率 40%(25%-53%)和插管率 46%(20%-61%)。然而,在考虑到许多医院的小样本量后,未经调整的所有结局的医院间差异占 2%-6%的变异,在调整患者、住院和/或医院特征后,占约 1%-5%(最大为癫痫持续状态 30 天再入院率为 8%)。尽管许多特征显著预测结局,但最大的影响是心搏骤停预测死亡(比值比=10.1,95%置信区间=8.8-11.7),而医院特征(如人员配备、认证、容量、设置、服务)的影响较小。
医院间的差异对研究结局的变异性解释不大。相反,某些患者特征(如心搏骤停)的影响更大。改善癫痫持续状态后结局的干预措施可能更侧重于个体或院前因素,而不是住院系统水平。