Kind Amy J H, Smith Maureen A, Liou Jinn-Ing, Pandhi Nancy, Frytak Jennifer R, Finch Michael D
Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA.
J Am Geriatr Soc. 2008 Jun;56(6):999-1005. doi: 10.1111/j.1532-5415.2008.01693.x. Epub 2008 Apr 18.
To examine 1-year mortality and healthcare payments of stroke patients experiencing zero, one and two or more bounce-backs within 30 days of discharge.
Retrospective analysis of administrative data.
Four hundred twenty-two hospitals in the southern and eastern United States.
Eleven thousand seven hundred twenty-nine Medicare beneficiaries aged 65 and older surviving at least 30 days with acute ischemic stroke in 2000.
One-year mortality and predicted total healthcare payments were calculated using log-normal parametric survival analysis and quantile regression, respectively. Models included sociodemographics, prior medical history, stroke severity, length of stay, and discharge site.
Crude survival at 1 year for the zero, one and two or more bounce-back groups was 83%, 67%, and 55%, respectively. The one bounce-back group had 49% shorter (time ratio (TR)=0.51, 95% confidence interval (CI)=0.46-0.56) and the two or more bounce-backs group had 68% shorter (TR=0.32, 95% CI=0.27-0.38) adjusted 1-year survival time than the zero bounce-back group. For high- and low-cost patients, adjusted predicted payments were greater with each additional bounce-back experienced.
Acute stroke patients experiencing bounce-backs within 30 days have strikingly poorer survival and higher healthcare payments over the subsequent year than their counterparts with no bounce-backs. Bounce-backs may serve as a simple predictor for identifying stroke patients at extremely high risk for poor outcomes.
研究出院后30天内出现零次、一次以及两次或更多次病情反复的中风患者的1年死亡率和医疗费用支付情况。
对管理数据进行回顾性分析。
美国南部和东部的422家医院。
2000年11729名年龄在65岁及以上、急性缺血性中风存活至少30天的医疗保险受益人。
分别使用对数正态参数生存分析和分位数回归计算1年死亡率和预测的总医疗费用支付。模型包括社会人口统计学、既往病史、中风严重程度、住院时间和出院地点。
零次、一次以及两次或更多次病情反复组的1年粗生存率分别为83%、67%和55%。与零次病情反复组相比,一次病情反复组的调整后1年生存时间缩短了49%(时间比(TR)=0.51,95%置信区间(CI)=0.46 - 0.56),两次或更多次病情反复组缩短了68%(TR = 0.32,95% CI = 0.27 - 0.38)。对于高成本和低成本患者,每多经历一次病情反复,调整后的预测支付费用就越高。
出院后30天内出现病情反复的急性中风患者,在随后一年中的生存率明显低于未出现病情反复的患者,且医疗费用支付更高。病情反复可能是识别预后极差的中风患者的一个简单预测指标。