Hierarchical analysis* evaluating the impact of primary payer status on the outcomes after aneurysmal subarachnoid hemorrhage, utilizing patients with private insurance as the reference.

*The independent variables included as covariates in regression analyses were patient age, sex, race, comorbidities, median household income of the patient’s zip code, hospital region, hospital location, teaching status, procedural volume, the presence of intracerebral hemorrhage, the performance of a ventriculostomy, year of admission, and aneurysm treatment modality (clipping or coiling).

本研究回归分析中作为协变量纳入的自变量包括：患者年龄、性别、种族、合并症、患者邮政编码所在区域的家庭收入中位数、医院区域、医院位置、教学资质、手术量、是否存在脑出血（intracerebral hemorrhage）、是否行脑室造口术（ventriculostomy）、入院年份以及动脉瘤治疗方式（夹闭或栓塞）。