Abstract：
UNASSIGNED: Intracerebral hemorrhage (ICH) accompanies higher mortality rates than other type of stroke. This study aimed to investigate the association between hospital volume and mortality for cases of ICH.
UNASSIGNED: We used nationwide data from 2013 to 2018 to compare high-volume hospitals (≥32 admissions/year) and low-volume hospitals (<32 admissions/year). We tracked patients\' survival at 3-month, 1-year, 2-year, and 4-year endpoints. The survival of ICH patients was analyzed at 3-month, 1-year, 2-year, and 4-year endpoints using Kaplan-Meier survival analysis. Multivariable logistic regression analysis and Cox regression analysis were performed to determine predictive factors of poor outcomes at discharge and death.
UNASSIGNED: Among 9,086 ICH patients who admitted to hospital during 18-month period, 6,756 (74.4%) and 2,330 (25.6%) patients were admitted to high-volume and low-volume hospitals. The mortality of total ICH patients was 18.25%, 23.87%, 27.88%, and 35.74% at the 3-month, 1-year, 2-year, and 4-year, respectively. In multivariate logistic analysis, high-volume hospitals had lower poor functional outcome at discharge than low-volume hospitals (odds ratio, 0.80; 95% confidence interval, 0.72-0.91; p < 0.001). In the Cox analysis, high-volume hospitals had significantly lower 3-month, 1-year, 2-year, and 4-year mortality than low-volume hospitals (p < 0.05).
UNASSIGNED: The poor outcome at discharge, short- and long-term mortality in ICH patients differed according to hospital volume. High-volume hospitals showed lower rates of mortality for ICH patients, particularly those with severe clinical status.
UNASSIGNED: We used nationwide data from 2013 to 2018 to compare high-volume hospitals (≥32 admissions/year) and low-volume hospitals (<32 admissions/year). We tracked patients\' survival at 3-month, 1-year, 2-year, and 4-year endpoints. The survival of ICH patients was analyzed at 3-month, 1-year, 2-year, and 4-year endpoints using Kaplan-Meier survival analysis. Multivariable logistic regression analysis and Cox regression analysis were performed to determine predictive factors of poor outcomes at discharge and death.
UNASSIGNED: Among 9,086 ICH patients who admitted to hospital during 18-month period, 6,756 (74.4%) and 2,330 (25.6%) patients were admitted to high-volume and low-volume hospitals. The mortality of total ICH patients was 18.25%, 23.87%, 27.88%, and 35.74% at the 3-month, 1-year, 2-year, and 4-year, respectively. In multivariate logistic analysis, high-volume hospitals had lower poor functional outcome at discharge than low-volume hospitals (odds ratio, 0.80; 95% confidence interval, 0.72-0.91; p < 0.001). In the Cox analysis, high-volume hospitals had significantly lower 3-month, 1-year, 2-year, and 4-year mortality than low-volume hospitals (p < 0.05).
UNASSIGNED: The poor outcome at discharge, short- and long-term mortality in ICH patients differed according to hospital volume. High-volume hospitals showed lower rates of mortality for ICH patients, particularly those with severe clinical status.
摘要：
■脑出血（ICH）的死亡率高于其他类型的中风。本研究旨在调查ICH患者的医院数量与死亡率之间的关系。
■我们使用了2013年至2018年的全国数据，比较了高容量医院（≥32入院/年）和低容量医院（<32入院/年）。我们追踪患者3个月时的生存率,1年,2年,和4年终点。在3个月时分析ICH患者的生存率，1年,2年,和4年终点使用Kaplan-Meier生存分析。采用多变量logistic回归分析和Cox回归分析确定出院时不良结局和死亡的预测因素。
■在18个月期间住院的9086名ICH患者中，6,756名（74.4％）和2,330名（25.6％）患者被送往高容量和低容量医院。ICH患者总死亡率为18.25%,23.87%,27.88%,3个月为35.74%，1年,2年,4年,分别。在多变量逻辑分析中，高容量医院出院时的不良功能结果低于低容量医院(优势比，0.80；95%置信区间，0.72-0.91；p<0.001)。在Cox分析中,大批量医院的3个月时间明显减少，1年,2年,4年死亡率高于低容量医院(p<0.05)。
■出院时结果不佳，ICH患者的短期和长期死亡率因医院数量而异.高容量医院显示ICH患者的死亡率较低，特别是那些有严重的临床状态。
■我们使用了2013年至2018年的全国数据，比较了高容量医院（≥32入院/年）和低容量医院（<32入院/年）。我们追踪患者3个月时的生存率,1年,2年,和4年终点。在3个月时分析ICH患者的生存率，1年,2年,和4年终点使用Kaplan-Meier生存分析。采用多变量logistic回归分析和Cox回归分析确定出院时不良结局和死亡的预测因素。
■在18个月期间住院的9086名ICH患者中，6,756名（74.4％）和2,330名（25.6％）患者被送往高容量和低容量医院。ICH患者总死亡率为18.25%,23.87%,27.88%,3个月为35.74%，1年,2年,4年,分别。在多变量逻辑分析中，高容量医院出院时的不良功能结果低于低容量医院(优势比，0.80；95%置信区间，0.72-0.91；p<0.001)。在Cox分析中,大批量医院的3个月时间明显减少，1年,2年,4年死亡率高于低容量医院(p<0.05)。
■出院时结果不佳，ICH患者的短期和长期死亡率因医院数量而异.高容量医院显示ICH患者的死亡率较低，特别是那些有严重的临床状态。
