• 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

院前卒中识别:与诊断准确性相关的因素

Prehospital Stroke Identification: Factors Associated with Diagnostic Accuracy.

作者信息

Brandler Ethan S, Sharma Mohit, McCullough Flynn, Ben-Eli David, Kaufman Bradley, Khandelwal Priyank, Helzner Elizabeth, Sinert Richard H, Levine Steven R

机构信息

Department of Emergency Medicine, State University of New York at Stony Brook, Stony Brook, New York; Department of Emergency Medicine, State University of New York Downstate Medical Center, Brooklyn, New York.

Department of Neurology, State University of New York Downstate Medical Center, Brooklyn, New York.

出版信息

J Stroke Cerebrovasc Dis. 2015 Sep;24(9):2161-6. doi: 10.1016/j.jstrokecerebrovasdis.2015.06.004. Epub 2015 Jul 7.

DOI:10.1016/j.jstrokecerebrovasdis.2015.06.004
PMID:26159643
Abstract

BACKGROUND

Stroke patients misdiagnosed by emergency medical services (EMS) providers have been shown to receive delayed in-hospital care. We aim at determining the diagnostic accuracy of Fire Department of New York (FDNY) EMS providers for stroke and identifying potential reasons for misdiagnosis.

METHODS

Prehospital care reports of all patients transported by FDNY EMS to 3 hospitals from January 1, 2010, to December 31, 2011, were compared against the American Heart Association Get With The Guidelines (GWTG) database (reference standard) for the diagnosis of stroke. Age-adjusted logistic regression models were generated to explore prehospital patient characteristics which are associated with stroke misdiagnosis.

RESULTS

Of 72,984 patient transports during the study period, 750 had a GWTG diagnosis of stroke, 468 (62%) of which were identified correctly in the field and 282 (38%) were missed. An additional 268 patients were misdiagnosed as stroke when in fact they had an alternative diagnosis. Overall sensitivity was 62.4% (95% confidence interval [CI], 58.9-65.8) and specificity was 99.6% (95% CI, 99.6-99.7). No patients who presented with unilateral weakness, facial weakness, or speech problems were missed, whereas patients with atypical complaints like general malaise, dizziness, and headache were more likely to be missed. Seizures led the EMS providers to both overcall a stroke and miss the diagnosis.

CONCLUSIONS

FDNY EMS care providers missed more than a third of stroke cases. Seizures and other atypical presentations contribute significantly to stroke misdiagnosis in the field. Our findings highlight the need for better prehospital stroke identification methods.

摘要

背景

已有研究表明,被紧急医疗服务(EMS)人员误诊的中风患者在医院接受治疗的时间会延迟。我们旨在确定纽约消防局(FDNY)的EMS人员对中风的诊断准确性,并找出误诊的潜在原因。

方法

将2010年1月1日至2011年12月31日期间由FDNY的EMS送往3家医院的所有患者的院前护理报告与美国心脏协会“遵循指南”(GWTG)数据库(参考标准)进行比较,以诊断中风。生成年龄调整后的逻辑回归模型,以探索与中风误诊相关的院前患者特征。

结果

在研究期间的72984次患者转运中,有750例在GWTG数据库中被诊断为中风,其中468例(62%)在现场被正确识别,282例(38%)被漏诊。另外有268例患者实际上有其他诊断,但被误诊为中风。总体敏感性为62.4%(95%置信区间[CI],58.9 - 65.8),特异性为99.6%(95%CI,99.6 - 99.7)。没有出现单侧无力、面部无力或言语问题的患者被漏诊,而出现全身不适、头晕和头痛等非典型症状的患者更容易被漏诊。癫痫发作导致EMS人员既过度诊断中风又漏诊。

结论

FDNY的EMS护理人员漏诊了超过三分之一的中风病例。癫痫发作和其他非典型表现是现场中风误诊的重要原因。我们的研究结果强调了需要更好的院前中风识别方法。

相似文献

1
Prehospital Stroke Identification: Factors Associated with Diagnostic Accuracy.院前卒中识别:与诊断准确性相关的因素
J Stroke Cerebrovasc Dis. 2015 Sep;24(9):2161-6. doi: 10.1016/j.jstrokecerebrovasdis.2015.06.004. Epub 2015 Jul 7.
2
Patient characteristics affecting stroke identification by emergency medical service providers in Brooklyn, New York.纽约布鲁克林区影响紧急医疗服务人员识别中风的患者特征。
Intern Emerg Med. 2016 Mar;11(2):229-36. doi: 10.1007/s11739-015-1347-9. Epub 2015 Nov 9.
3
Clinical predictors of accurate prehospital stroke recognition.院前卒中准确识别的临床预测因素。
Stroke. 2015 Jun;46(6):1513-7. doi: 10.1161/STROKEAHA.115.008650. Epub 2015 Apr 28.
4
Accuracy of Prehospital Identification of Stroke in a Large Stroke Belt Municipality.大型中风高发区城市中院前卒中识别的准确性
Prehosp Emerg Care. 2018 Nov-Dec;22(6):734-742. doi: 10.1080/10903127.2018.1447620. Epub 2018 Mar 29.
5
Assessing the validity of the Cincinnati prehospital stroke scale and the medic prehospital assessment for code stroke in an urban emergency medical services agency.评估辛辛那提院前卒中量表和医疗急救人员院前评估在城市急救医疗服务机构中用于卒中编码的有效性。
Prehosp Emerg Care. 2013 Jul-Sep;17(3):348-53. doi: 10.3109/10903127.2013.773113. Epub 2013 Mar 15.
6
Out-of-hospital stroke screen accuracy in a state with an emergency medical services protocol for routing patients to acute stroke centers.在一个拥有将患者转送至急性卒中中心的紧急医疗服务协议的州,院外卒中筛查的准确性。
Ann Emerg Med. 2014 Nov;64(5):509-15. doi: 10.1016/j.annemergmed.2014.03.024. Epub 2014 Apr 18.
7
Rethinking Prehospital Stroke Notification: Assessing Utility of Emergency Medical Services Impression and Cincinnati Prehospital Stroke Scale.重新思考院前卒中通知:评估紧急医疗服务印象及辛辛那提院前卒中量表的效用。
J Stroke Cerebrovasc Dis. 2018 Apr;27(4):919-925. doi: 10.1016/j.jstrokecerebrovasdis.2017.10.036. Epub 2017 Dec 6.
8
Barriers to Providing Prehospital Care to Ischemic Stroke Patients: Predictors and Impact on Care.为缺血性中风患者提供院前护理的障碍:预测因素及对护理的影响
Prehosp Disaster Med. 2018 Oct;33(5):501-507. doi: 10.1017/S1049023X18000766. Epub 2018 Aug 29.
9
Accuracy of stroke recognition by emergency medical dispatchers and paramedics--San Diego experience.紧急医疗调度员和护理人员对中风识别的准确性——圣地亚哥的经验
Prehosp Emerg Care. 2008 Jul-Sep;12(3):307-13. doi: 10.1080/10903120802099526.
10
Prehospital Identification of Patients with a Final Hospital Diagnosis of Stroke.最终医院诊断为中风患者的院前识别
Prehosp Disaster Med. 2018 Feb;33(1):63-70. doi: 10.1017/S1049023X17007178. Epub 2018 Jan 10.

引用本文的文献

1
Presenting symptoms and diagnostic accuracy of prehospital stroke scales for patients with suspected mild minor stroke.疑似轻度中风患者的院前中风量表的症状表现及诊断准确性
Eur Stroke J. 2025 Aug 11:23969873251360592. doi: 10.1177/23969873251360592.
2
Real-Time Telemedical Oversight Improves Prehospital Stroke Metrics: A Five-Year Cohort Study.实时远程医疗监督改善院前卒中指标:一项为期五年的队列研究。
Arch Acad Emerg Med. 2025 Jun 25;13(1):e57. doi: 10.22037/aaemj.v13i1.2693. eCollection 2025.
3
Early neurological deterioration with severe headache as the initial manifestation: A case report.
以严重头痛为首发表现的早期神经功能恶化:一例报告。
Radiol Case Rep. 2024 Nov 25;20(2):1005-1008. doi: 10.1016/j.radcr.2024.10.131. eCollection 2025 Feb.
4
The Absence of Typical Stroke Symptoms and Risk Factors Represents the Greatest Risk of an Incorrect Diagnosis in Stroke Patients.缺乏典型的中风症状和风险因素是中风患者误诊的最大风险。
J Pers Med. 2024 Sep 11;14(9):964. doi: 10.3390/jpm14090964.
5
Video support for prehospital stroke consultation: implications for system design and clinical implementation from prehospital simulations.视频支持院前卒中咨询:来自院前模拟对系统设计和临床实施的影响。
BMC Med Inform Decis Mak. 2024 May 29;24(1):146. doi: 10.1186/s12911-024-02539-7.
6
Experiences from a cluster-randomized trial (ParaNASPP) exploring triage and diagnostic accuracy in paramedic-suspected stroke: a qualitative interview study.一项关于在疑似中风的护理人员中进行分诊和诊断准确性的整群随机试验(ParaNASPP)的经验:一项定性访谈研究。
Eur J Neurol. 2024 May;31(5):e16252. doi: 10.1111/ene.16252. Epub 2024 Feb 25.
7
Clinical Research in Prehospital Care: Current and Future Challenges.院前急救的临床研究:当前与未来的挑战
Clin Pract. 2023 Oct 23;13(5):1266-1285. doi: 10.3390/clinpract13050114.
8
Paramedic recognition of posterior circulation stroke: a vignette and focus group study.护理人员对后循环卒中的识别:一个案例及焦点小组研究
Br Paramed J. 2023 Sep 1;8(2):1-9. doi: 10.29045/14784726.2023.9.8.2.1.
9
Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol.早期识别和特征描述中风,以支持使用人工智能进行院前决策:系统评价方案。
BMJ Open. 2023 May 22;13(5):e069660. doi: 10.1136/bmjopen-2022-069660.
10
Uncooperative patients suspected of acute stroke ineligible for prehospital stroke screening test by emergency medical service providers: final hospital diagnoses and characteristics.被紧急医疗服务提供者怀疑为急性中风但不符合院前中风筛查测试条件的不合作患者:最终医院诊断及特征
Clin Exp Emerg Med. 2023 Jun;10(2):213-223. doi: 10.15441/ceem.22.372. Epub 2023 Feb 14.