• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

急性缺血性脑卒中后医院获得性感染及其与医疗相关费用和功能结局的关系。

Hospital-acquired infections after acute ischaemic stroke and its association with healthcare-related costs and functional outcome.

机构信息

Department of Anaesthesiology and Intensive Care Medicine, Critical Care Department, ZOL-Genk, Schiepse Bos 6, B-3600, Genk, Belgium.

Department of Anaesthesiology, University Hospital Antwerp, Antwerp, Belgium.

出版信息

Acta Neurol Belg. 2022 Oct;122(5):1281-1287. doi: 10.1007/s13760-022-01977-2. Epub 2022 Jun 30.

DOI:10.1007/s13760-022-01977-2
PMID:35773572
Abstract

INTRODUCTION

Acute ischaemic stroke is associated with important mortality, morbidity, and healthcare-related costs. Age, pre-stroke functionality and stroke severity are important contributors to functional outcome. Stroke patients also risk developing infections during hospitalization. We sought to explore possible predictors of post-stroke infections and the relationship of post-stroke infection with healthcare-related costs and functional outcome.

METHODS

This single-centre retrospective study included 530 patients treated for ischaemic stroke between January 2017 and February 2019. Antibiotics' administration was used as a proxy for post-stroke infection. Functional outcome at 90 days was assessed by the modified Rankin Scale (mRS). Total healthcare-related costs were recorded for the index hospital stay. Multivariable analysis for post-stroke infection was done with the independent factors sex, age, pre-stroke mRS, National Institutes of Health Stroke Scale (NIHSS) and diabetes mellitus.

RESULTS

Twenty percent of patients had a post-stroke infection. NIHSS (OR 1.10, 95%CI 1.06-1.13, p < 0.0001) and diabetes mellitus (OR 2.18, 95%CI 1.28-3.71, p = 0.0042) were independent predictors for post-stroke infection. Mean total healthcare-related costs were 15,374 euro (SD 19,968; IQR 3,380-18,165), with a mean of 31,061 euro (SD 29,995; IQR 12,584-42,843) in patients with infection, compared to 11,406 euro (SD 13,987; IQR 3,083-12,726) in patients without (p < 0.0001). Median 90-days mRS was 5 (IQR 3-6) in patients with infection versus 1 (IQR 0-3.5) in patients without (p < 0.0001).

CONCLUSIONS

In patients, admitted for acute ischaemic stroke, stroke severity and diabetes mellitus were identified as the main predictors for post-stroke infection. Hospital-acquired infections were associated with increased costs and worse functional outcome.

摘要

简介

急性缺血性脑卒中与较高的死亡率、发病率和医疗相关费用有关。年龄、卒中前的功能状态和卒中严重程度是影响功能结局的重要因素。卒中患者在住院期间也有发生感染的风险。我们旨在探讨卒中后感染的可能预测因素,以及卒中后感染与医疗相关费用和功能结局的关系。

方法

这项单中心回顾性研究纳入了 2017 年 1 月至 2019 年 2 月期间因缺血性卒中接受治疗的 530 例患者。抗生素的使用被用作卒中后感染的替代指标。90 天时的功能结局通过改良 Rankin 量表(mRS)进行评估。记录了索引住院期间的总医疗相关费用。多变量分析用于确定卒中后感染的独立因素,包括性别、年龄、卒中前 mRS、美国国立卫生研究院卒中量表(NIHSS)和糖尿病。

结果

20%的患者发生了卒中后感染。NIHSS(比值比 1.10,95%置信区间 1.06-1.13,p<0.0001)和糖尿病(比值比 2.18,95%置信区间 1.28-3.71,p=0.0042)是卒中后感染的独立预测因素。总医疗相关费用的平均值为 15374 欧元(标准差 19968;四分位距 3380-18165),感染患者的平均费用为 31061 欧元(标准差 29995;四分位距 12584-42843),而未感染患者的平均费用为 11406 欧元(标准差 13987;四分位距 3083-12726)(p<0.0001)。感染患者 90 天时的 mRS 中位数为 5(四分位距 3-6),而未感染患者的 mRS 中位数为 1(四分位距 0-3.5)(p<0.0001)。

结论

在因急性缺血性卒中入院的患者中,卒中严重程度和糖尿病被确定为卒中后感染的主要预测因素。医院获得性感染与费用增加和功能结局恶化有关。

相似文献

1
Hospital-acquired infections after acute ischaemic stroke and its association with healthcare-related costs and functional outcome.急性缺血性脑卒中后医院获得性感染及其与医疗相关费用和功能结局的关系。
Acta Neurol Belg. 2022 Oct;122(5):1281-1287. doi: 10.1007/s13760-022-01977-2. Epub 2022 Jun 30.
2
Interaction between stroke severity and quality indicators of acute stroke care: a single-center retrospective analysis.卒中严重程度与急性卒中护理质量指标的相互作用:单中心回顾性分析。
Acta Neurol Belg. 2022 Feb;122(1):173-180. doi: 10.1007/s13760-021-01811-1. Epub 2021 Oct 3.
3
Risk of subsequent disabling or fatal stroke in patients with transient ischaemic attack or minor ischaemic stroke: an international, prospective cohort study.短暂性脑缺血发作或小卒中患者随后发生致残性或致死性卒中的风险:一项国际前瞻性队列研究。
Lancet Neurol. 2022 Oct;21(10):889-898. doi: 10.1016/S1474-4422(22)00302-7.
4
Recanalisation success is independent of ASPECTS in predicting outcomes after intra-arterial therapy for acute ischaemic stroke.在急性缺血性卒中动脉内治疗后,再通成功在预测预后方面独立于ASPECTS评分。
J Clin Neurosci. 2014 Aug;21(8):1344-8. doi: 10.1016/j.jocn.2013.11.020. Epub 2014 Feb 6.
5
Relationship between admission serum C-reactive protein and short term outcome following acute ischaemic stroke at a tertiary health institution in Nigeria.尼日利亚一家三级医疗机构中急性缺血性卒中患者入院时血清C反应蛋白与短期预后的关系。
Niger J Clin Pract. 2013 Jul-Sep;16(3):320-4. doi: 10.4103/1119-3077.113454.
6
Serum Vitamin D Status as a Predictor of Prognosis in Patients with Acute Ischemic Stroke.血清维生素D水平作为急性缺血性脑卒中患者预后的预测指标
Cerebrovasc Dis. 2015;40(1-2):73-80. doi: 10.1159/000434691. Epub 2015 Jul 11.
7
Acute treatment costs of intracerebral hemorrhage and ischemic stroke in Argentina.阿根廷脑出血和缺血性中风的急性治疗费用。
Acta Neurol Scand. 2009 Apr;119(4):246-53. doi: 10.1111/j.1600-0404.2008.01094.x. Epub 2008 Sep 1.
8
Predictors of Outcome in Patients Presenting with Acute Ischemic Stroke and Mild Stroke Scale Scores.急性缺血性卒中患者的预后预测因素及轻度卒中量表评分
J Stroke Cerebrovasc Dis. 2015 Jul;24(7):1685-9. doi: 10.1016/j.jstrokecerebrovasdis.2015.03.042. Epub 2015 May 2.
9
Prognostic significance of age in patients with acute ischaemic stroke treated with intravenous thrombolysis.年龄对接受静脉溶栓治疗的急性缺血性脑卒中患者的预后意义。
Neurol Neurochir Pol. 2022;56(1):81-88. doi: 10.5603/PJNNS.a2022.0010. Epub 2022 Jan 21.
10
Drivers of healthcare costs in patients with ischaemic stroke: a hospital-based retrospective cohort study.缺血性脑卒中患者医疗费用的驱动因素:一项基于医院的回顾性队列研究。
BMJ Open. 2023 Jan 3;13(1):e064445. doi: 10.1136/bmjopen-2022-064445.

引用本文的文献

1
Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients.基于机器学习对出血性中风患者90天预后和院内死亡率的预测
Sci Rep. 2025 May 9;15(1):16242. doi: 10.1038/s41598-025-90944-x.
2
Machine learning-based prediction of one-year mortality in ischemic stroke patients.基于机器学习的缺血性中风患者一年死亡率预测
Oxf Open Neurosci. 2024 Nov 14;3:kvae011. doi: 10.1093/oons/kvae011. eCollection 2024.
3
Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke.

本文引用的文献

1
Interaction between stroke severity and quality indicators of acute stroke care: a single-center retrospective analysis.卒中严重程度与急性卒中护理质量指标的相互作用:单中心回顾性分析。
Acta Neurol Belg. 2022 Feb;122(1):173-180. doi: 10.1007/s13760-021-01811-1. Epub 2021 Oct 3.
2
Predictors of early infection in cerebral ischemic stroke.脑缺血性卒中早期感染的预测因素
J Med Life. 2016 Apr-Jun;9(2):163-9.
3
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study.用于缺血性中风病变分割的分类器:一项比较研究。
急性缺血性脑卒中患者卒中后感染危险因素的识别及列线图预测模型的构建
World J Clin Cases. 2024 Jul 16;12(20):4048-4056. doi: 10.12998/wjcc.v12.i20.4048.
4
Predicting 90-Day Prognosis in Ischemic Stroke Patients Post Thrombolysis Using Machine Learning.使用机器学习预测缺血性中风患者溶栓后的90天预后
J Pers Med. 2023 Oct 30;13(11):1555. doi: 10.3390/jpm13111555.
PLoS One. 2015 Dec 16;10(12):e0145118. doi: 10.1371/journal.pone.0145118. eCollection 2015.