Guterman Elan L, Burke James F, Josephson S Andrew, Betjemann John P
Department of Neurology, University of California, San Francisco, CA, USA.
Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
Neurohospitalist. 2019 Jul;9(3):133-139. doi: 10.1177/1941874418819349. Epub 2018 Dec 18.
To explore intubation rates among patients with status epilepticus (SE) and the degree of institutional variation.
Serial cross-sectional study of SE-related hospitalizations from 2004 to 2013 using data from the National Inpatient Sample. The primary outcome was intubation of patients with SE. Multivariable models identified predictors of intubation, institutional variation in intubation rates, and the proportion of variance attributable to individual hospitals. This analysis was repeated using data from 5 states in the State Inpatient Databases (SID).
There were 119 337 SE hospitalizations. The overall intubation rate was 32.7% (95% confidence interval [CI]: 32.2%-33.3%). There was marked variation in estimated intubation rates, ranging from 2% to 80% in the lowest and highest quintile after adjustment. There was somewhat less variability in the SID cohort where quintiles ranged from 10% to 54%. Those undergoing intubation were more often men and presenting with stroke, intracerebral hemorrhage, central nervous system infection, hyponatremia, and alcohol withdrawal. Urban location (odds ratio [OR]: 3.8, 95% CI: 2.7-5.5) and hospitalization at a teaching institution (OR: 3.9, 95% CI: 1.2-12.6) were even stronger predictors of intubation after adjustment for clinical factors. A regression including both patient- and hospital-level variables to predict intubation also performed better than a regression including patient factors alone (C statistic 0.81 vs 0.59, respectively).
There is considerable institutional variation in intubation rates for SE independent of patient characteristics suggesting that decisions around intubation rest heavily on where one is hospitalized. Further work is needed to clarify how this variation influences outcomes.
探讨癫痫持续状态(SE)患者的插管率及机构间差异程度。
利用国家住院样本数据,对2004年至2013年与SE相关的住院情况进行系列横断面研究。主要结局是SE患者的插管情况。多变量模型确定了插管的预测因素、插管率的机构间差异以及各医院所致方差的比例。使用州住院数据库(SID)中5个州的数据重复此分析。
共有119337例SE住院病例。总体插管率为32.7%(95%置信区间[CI]:32.2% - 33.3%)。调整后,估计插管率存在显著差异,最低和最高五分位数分别为2%至80%。SID队列中的变异性略小,五分位数范围为10%至54%。接受插管的患者男性居多,常伴有中风、脑出血、中枢神经系统感染、低钠血症和酒精戒断。调整临床因素后,城市地区(比值比[OR]:3.8,95% CI:2.7 - 5.5)和教学机构住院(OR:3.9,95% CI:1.2 - 12.6)是更强的插管预测因素。包含患者和医院层面变量以预测插管的回归模型也比仅包含患者因素的回归模型表现更好(C统计量分别为0.81和0.59)。
SE的插管率存在相当大的机构间差异,且与患者特征无关,这表明插管决策很大程度上取决于患者的住院地点。需要进一步开展工作以阐明这种差异如何影响结局。