...
首页> 外文期刊>The Lancet >The Recognition of Stroke in the Emergency Room (ROSIER) scale: development and validation of a stroke recognition instrument
【24h】

The Recognition of Stroke in the Emergency Room (ROSIER) scale: development and validation of a stroke recognition instrument

机译:急诊室中风识别(ROSIER)等级:中风识别仪的开发和验证

获取原文
获取原文并翻译 | 示例

摘要

Background In patients with acute stroke, rapid intervention is crucial to maximise early treatment benefits. Stroke patients commonly have their first contact with medical staff in the emergency room (ER). We designed and validated a stroke recognition tool-the Recognition of Stroke in the Emergency Room (ROSIER) scale-for use by ER physicians.Methods We prospectively collected data for 1 year (development phase) on the clinical characteristics of patients with suspected acute stroke who were admitted to hospital from the ER. We used logistic regression analysis and clinical reasoning to develop a stroke recognition instrument for application in this setting. Patients with suspected transient ischaemic attack (TIA) with no symptoms or signs when assessed in the ER were excluded from the analysis. The instrument was assessed using the baseline 1-year dataset and then prospectively validated in a new cohort of ER patients admitted over a 9-month period.Findings In the development phase, 343 suspected stroke patients were assessed (159 stroke, 167 non-stroke, 32 with TIA [17 with symptoms when seen in ER]). Common stroke mimics were seizures (23%), syncope (23%), and sepsis (10%). A seven-item (total score from -2 to +5) stroke recognition instrument was constructed on the basis of clinical history (loss of consciousness, convulsive fits) and neurological signs (face, arm, or leg weakness, speech disturbance, visual field defect). When internally validated at a cut-off score greater than zero, the instrument showed a diagnostic sensitivity of 92%, specificity of 86%, positive predictive value (PPV) of 88%, and negative predictive value (NPV) of 91%. Prospective validation in 173 consecutive suspected stroke referrals (88 stroke, 59 non-stroke, 26 with TIA [13 with symptoms]) showed sensitivity of 93% (95% CI 89-97), specificity 83% (77-89), PPV 90% (85-95), and NPV 88% (83-93). The ROSIER scale had greater sensitivity than existing stroke recognition instruments in this population.Interpretation The ROSIER scale was effective in the initial differentiation of acute stroke from stroke mimics in the ER. Introduction of the instrument improved the appropriateness of referrals to the stroke team.
机译:背景技术对于急性中风患者,快速干预对于最大化早期治疗获益至关重要。中风患者通常在急诊室(ER)首次与医务人员联系。我们设计并验证了卒中识别工具-急诊室中的卒中识别(ROSIER)量表-供急诊医师使用。方法我们前瞻性收集了1年(发展期)关于可疑急性中风患者临床特征的数据。他们是从急诊室住院的。我们使用逻辑回归分析和临床推理方法开发了一种中风识别工具,可用于这种情况。分析中排除了在ER中评估时没有症状或体征的可疑短暂性脑缺血发作(TIA)患者。使用1年基线数据集对仪器进行评估,然后在9个月内入院的一组新的ER患者中进行前瞻性验证。发现在开发阶段,评估了343名可疑中风患者(159名中风,167名非中风) ,其中32例患有TIA [在ER中可见17例症状]。常见的中风模仿物是癫痫发作(23%),晕厥(23%)和败血症(10%)。根据临床病史(意识丧失,抽搐发作)和神经系统体征(面部,手臂或腿无力,言语障碍,视野),构建了七项(总分从-2到+5)的中风识别仪缺陷)。当内部验证的临界值大于零时,该仪器的诊断灵敏度为92%,特异性为86%,阳性预测值(PPV)为88%,阴性预测值(NPV)为91%。对173例连续的疑似中风转诊(88例中风,59例非中风,26例TIA [有症状13例])进行的前瞻性验证显示敏感性为93%(95%CI 89-97),特异性为83%(77-89),PPV 90%(85-95)和NPV 88%(83-93)。在该人群中,ROSIER量表比现有的中风识别工具具有更高的敏感性。ROSIER量表可有效地将急性中风从急诊室的中风模拟物中初步区分出来。该仪器的引入提高了推荐给卒中小组的适当性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号