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脓毒症诊断患者的流行病学特征、时间趋势、死亡预测因素及出院处置情况:一项横断面回顾性队列研究。

The epidemiologic characteristics, temporal trends, predictors of death, and discharge disposition in patients with a diagnosis of sepsis: A cross-sectional retrospective cohort study.

作者信息

Elfeky Sarah, Golabi Pegah, Otgonsuren Munkhzul, Djurkovic Svetolik, Schmidt Mary E, Younossi Zobair M

机构信息

Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA.

Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA.

出版信息

J Crit Care. 2017 Jun;39:48-55. doi: 10.1016/j.jcrc.2017.01.006. Epub 2017 Jan 20.

Abstract

PURPOSE

To assess recent epidemiologic characteristics, temporal trends, and predictors of death and discharge disposition in patients with sepsis.

MATERIAL AND METHODS

This is a cross-sectional retrospective cohort study using the US National Inpatient Sample (NIS) data from 2009 to 2012. The study population included adults (18years and older) with sepsis-related International Classification of Diseases, Ninth Revision, Clinical Modification codes at the time of discharge. Factors associated with in-hospital mortality and patient discharge disposition were derived from multivariate analyses using multinomial logistic models by SAS PROC LOGISTIC with GLOGIT link.

RESULTS

Of 1 303 640 patients admitted, 15% died, 30% were discharged to home without home care, 34% were transferred to a skilled outpatient facility, and 4% were transferred to another short-term hospital. In-hospital mortality decreased from 16.5% to 13.8% (P<.001) across time. Length of stay also decreased from 6.7 to 5.9days (P<.001). Reductions in mortality and length of stay were seen despite an increase in the number of comorbidities (P<.001). Multivariate analysis revealed that the strongest predictors of in-hospital mortality were respiratory, cardiovascular, and hepatic failures, and neurologic events. The predictors of transfer to an outpatient facility were a major operative procedure, neurologic event, respiratory failure, and weight loss. Weight loss was also an independent predictor of in-hospital mortality.

CONCLUSION

Certain comorbidities and organ failures were associated with death and discharge to a skilled outpatient facility.

摘要

目的

评估脓毒症患者近期的流行病学特征、时间趋势以及死亡和出院处置的预测因素。

材料与方法

这是一项横断面回顾性队列研究,使用了2009年至2012年美国国家住院患者样本(NIS)数据。研究人群包括出院时患有与脓毒症相关的国际疾病分类第九版临床修订本编码的成年人(18岁及以上)。使用SAS PROC LOGISTIC中的多项逻辑模型和GLOGIT链接,通过多变量分析得出与院内死亡率和患者出院处置相关的因素。

结果

在1303640名入院患者中,15%死亡,30%出院回家且无需家庭护理,34%被转至专业门诊机构,4%被转至另一家短期医院。随着时间推移,院内死亡率从16.5%降至13.8%(P<0.001)。住院时间也从6.7天降至5.9天(P<0.001)。尽管合并症数量增加(P<0.001),但死亡率和住院时间仍有所降低。多变量分析显示,院内死亡的最强预测因素是呼吸、心血管和肝功能衰竭以及神经系统事件。转至门诊机构的预测因素是大手术、神经系统事件、呼吸衰竭和体重减轻。体重减轻也是院内死亡的独立预测因素。

结论

某些合并症和器官衰竭与死亡以及转至专业门诊机构有关。

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