Shah Vishank A, Kazmi Syed Omar, Damani Rahul, Harris Alyssa Hartsell, Hohmann Samuel F, Calvillo Eusebia, Suarez Jose I
Division of Neurosciences Critical Care, Department of Neurology, Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Salem Health Hospital, Salem, OR, United States.
Front Neurol. 2022 Jun 16;13:908609. doi: 10.3389/fneur.2022.908609. eCollection 2022.
Regional variability in subarachnoid hemorrhage (SAH) care is reported in physician surveys. We aimed to describe variability in SAH care using patient-level data and identify factors impacting hospital outcomes and regional variability in outcomes.
A retrospective multi-center cross-sectional cohort study of consecutive non-traumatic SAH patients in the Vizient Clinical Data Base, between January 1st, 2009 and December 30th, 2018 was performed. Participating hospitals were divided into US regions: Northeast, Midwest, South, West. Regional demographics, co-morbidities, severity-of-illness, complications, interventions and discharge outcomes were compared. Multivariable logistic regression was performed to identify factors independently associated with primary outcomes: hospital mortality and poor discharge outcome. Poor discharge outcome was defined by the Nationwide Inpatient Sample-SAH Outcome Measure, an externally-validated outcome measure combining death, discharge disposition, tracheostomy and/or gastrostomy. Regional variability in the associations between care and outcomes were assessed by introducing an interaction term for US region into the models.
Of 109,034 patients included, 24.3% were from Northeast, 24.9% Midwest, 34.9% South, 15.9% West. Mean (SD) age was 58.6 (15.6) years and 64,245 (58.9%) were female. In-hospital mortality occurred in 21,991 (20.2%) and 44,159 (40.5%) had poor discharge outcome. There was significant variability in severity-of-illness, co-morbidities, complications and interventions across US regions. Notable findings were higher prevalence of surgical clipping (18.8 vs. 11.6%), delayed cerebral ischemia (4.3 vs. 3.1%), seizures (16.5 vs. 14.8%), infections (18 vs. 14.7%), length of stay (mean [SD] days; 15.7 [19.2] vs. 14.1 [16.7]) and health-care direct costs (mean [SD] USD; 80,379 [98,999]. vs. 58,264 [74,430]) in the West when compared to other regions (all < 0.0001). Variability in care was also associated with modest variability in hospital mortality and discharge outcome. Aneurysm repair, nimodipine use, later admission-year, endovascular rescue therapies reduced the odds for poor outcome. Age, severity-of-illness, co-morbidities, hospital complications, and vasopressor use increased those odds (c-statistic; mortality: 0.77; discharge outcome: 0.81). Regional interaction effect was significant for admission severity-of-illness, aneurysm-repair and nimodipine-use.
Multiple hospital-care factors impact SAH outcomes and significant variability in hospital-care and modest variability in discharge-outcomes exists across the US. Variability in SAH-severity, nimodipine-use and aneurysm-repair may drive variability in outcomes.
医师调查显示蛛网膜下腔出血(SAH)治疗存在地区差异。我们旨在利用患者层面的数据描述SAH治疗的差异,并确定影响医院结局及结局地区差异的因素。
对2009年1月1日至2018年12月30日期间Vizient临床数据库中连续的非创伤性SAH患者进行了一项回顾性多中心横断面队列研究。参与研究的医院分为美国的几个地区:东北部、中西部、南部、西部。比较了各地区的人口统计学、合并症、疾病严重程度、并发症、干预措施及出院结局。进行多变量逻辑回归以确定与主要结局独立相关的因素:医院死亡率及不良出院结局。不良出院结局由全国住院患者样本-SAH结局指标定义,这是一种经过外部验证的结局指标,综合了死亡、出院处置、气管切开术和/或胃造口术。通过在模型中引入美国地区的交互项来评估治疗与结局之间关联的地区差异。
纳入的109,034例患者中,24.3%来自东北部,24.9%来自中西部,34.9%来自南部,15.9%来自西部。平均(标准差)年龄为58.6(15.6)岁,64,245例(58.9%)为女性。21,991例(20.2%)发生院内死亡,44,159例(40.5%)有不良出院结局。美国各地区在疾病严重程度、合并症、并发症及干预措施方面存在显著差异。显著的发现是,与其他地区相比,西部手术夹闭的患病率更高(18.8%对11.6%)、迟发性脑缺血发生率更高(4.3%对3.1%)、癫痫发生率更高(16.5%对14.8%)、感染发生率更高(18%对14.7%)、住院时间更长(平均[标准差]天;15.7[19.2]对14.1[16.7])以及医疗直接成本更高(平均[标准差]美元;80,379[98,999]对58,264[74,430])(所有P<0.0001)。治疗差异也与医院死亡率和出院结局的适度差异相关。动脉瘤修复、使用尼莫地平、较晚的入院年份、血管内抢救治疗降低了不良结局的几率。年龄、疾病严重程度、合并症、医院并发症及使用血管升压药增加了这些几率(c统计量;死亡率:0.77;出院结局:0.81)。入院疾病严重程度、动脉瘤修复及尼莫地平使用的地区交互效应显著。
多种医院治疗因素影响SAH结局,美国各地医院治疗存在显著差异,出院结局存在适度差异。SAH严重程度、尼莫地平使用及动脉瘤修复的差异可能导致结局差异。